3565 lines
124 KiB
Plaintext
3565 lines
124 KiB
Plaintext
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*******************************************************************************
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Tue May 7 10:26:38 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
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final sum of squares of residuals : 13.2857
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rel. change during last iteration : -2.16481e-07
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degrees of freedom (FIT_NDF) : 4
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.969 1.000
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*******************************************************************************
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Tue May 7 10:27:37 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
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final sum of squares of residuals : 13.2857
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rel. change during last iteration : -2.16481e-07
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degrees of freedom (FIT_NDF) : 4
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.969 1.000
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*******************************************************************************
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Tue May 7 10:41:59 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
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final sum of squares of residuals : 13.2857
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rel. change during last iteration : -2.16481e-07
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degrees of freedom (FIT_NDF) : 4
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.969 1.000
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*******************************************************************************
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Tue May 7 10:44:08 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
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final sum of squares of residuals : 13.2857
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rel. change during last iteration : -2.16481e-07
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degrees of freedom (FIT_NDF) : 4
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.969 1.000
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*******************************************************************************
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Tue May 7 10:46:04 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
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final sum of squares of residuals : 13.2857
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rel. change during last iteration : -2.16481e-07
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degrees of freedom (FIT_NDF) : 4
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.969 1.000
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*******************************************************************************
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Tue May 7 10:47:10 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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residuals are weighted equally (unit weight)
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|
function used for fitting: f(x)
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f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
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final sum of squares of residuals : 13.2857
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rel. change during last iteration : -2.16481e-07
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degrees of freedom (FIT_NDF) : 4
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.969 1.000
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*******************************************************************************
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Tue May 7 10:49:15 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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residuals are weighted equally (unit weight)
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|
function used for fitting: f(x)
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f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
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final sum of squares of residuals : 13.2857
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rel. change during last iteration : -2.16481e-07
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|
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degrees of freedom (FIT_NDF) : 4
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.969 1.000
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*******************************************************************************
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Thu May 9 12:22:47 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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|
residuals are weighted equally (unit weight)
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|
|
|
function used for fitting: f(x)
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|
f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
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|
|
iter chisq delta/lim lambda a b
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0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
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rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
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|
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
|
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b = 1.69643 +/- 0.7761 (45.75%)
|
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|
|
correlation matrix of the fit parameters:
|
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a b
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a 1.000
|
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b -0.969 1.000
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|
|
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*******************************************************************************
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Thu May 9 12:23:42 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
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|
f(x)=a*x**2+b*x
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|
fitted parameters initialized with current variable values
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|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
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variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
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|
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
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|
|
correlation matrix of the fit parameters:
|
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a b
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a 1.000
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b -0.969 1.000
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|
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*******************************************************************************
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Thu May 9 12:29:57 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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#datapoints = 6
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|
residuals are weighted equally (unit weight)
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|
|
|
function used for fitting: f(x)
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|
f(x)=a*x**2+b*x
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|
fitted parameters initialized with current variable values
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|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
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|
|
Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 0.625 +/- 0.1552 (24.84%)
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b = 1.69643 +/- 0.7761 (45.75%)
|
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|
|
correlation matrix of the fit parameters:
|
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a b
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|
a 1.000
|
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b -0.969 1.000
|
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|
|
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|
*******************************************************************************
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Thu May 9 12:39:04 2019
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FIT: data read from 'test.txt' index 0 u 1:2
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format = x:z
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|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
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4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
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|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
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Thu May 9 12:39:30 2019
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|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 12:40:00 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 12:46:09 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 12:46:22 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 12:47:55 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 12:52:05 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 12:54:12 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 12:55:23 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 13:02:21 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 13:04:30 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 13:04:41 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 13:08:07 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 13:08:19 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 13:09:07 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu May 9 13:09:55 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 09:46:17 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 09:50:30 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 09:52:07 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:04:53 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:09:08 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:25:01 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:25:56 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:27:42 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:28:40 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:32:07 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:34:10 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:35:21 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:37:12 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:39:11 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:40:34 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:41:48 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:42:49 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:43:51 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:45:31 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:47:16 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:49:10 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:51:24 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:54:14 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:56:37 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 10:58:23 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:11:39 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:17:54 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:19:42 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:23:01 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:25:22 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:27:17 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:28:40 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:29:52 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:31:42 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:33:14 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:35:10 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:41:31 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:41:45 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:46:52 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:47:03 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:48:30 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:48:40 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 11:49:53 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:19:08 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:19:26 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:21:49 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:22:02 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:29:10 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:30:35 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:33:02 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:42:59 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:43:16 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:44:50 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:48:53 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:50:35 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:50:48 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:58:19 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:58:34 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 16:59:35 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri May 10 17:00:45 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Mon Nov 11 19:54:06 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Mon Nov 11 19:54:37 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Mon Nov 11 19:54:55 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Mon Nov 11 19:55:16 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Mon Nov 11 19:55:40 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri Dec 13 23:31:52 2019
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Fri Jan 10 22:54:14 2020
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Wed Sep 4 20:45:09 2024
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Wed Sep 4 20:46:25 2024
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Wed Sep 4 20:46:42 2024
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Wed Sep 4 20:49:01 2024
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Wed Sep 4 20:50:17 2024
|
|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
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f(x)=a*x**2+b*x
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fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
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|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
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|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
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|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
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|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Wed Sep 4 20:51:05 2024
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|
|
|
|
|
FIT: data read from 'test.txt' index 0 u 1:2
|
|
format = x:z
|
|
#datapoints = 6
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x**2+b*x
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00
|
|
4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00
|
|
|
|
After 4 iterations the fit converged.
|
|
final sum of squares of residuals : 13.2857
|
|
rel. change during last iteration : -2.16481e-07
|
|
|
|
degrees of freedom (FIT_NDF) : 4
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = 0.625 +/- 0.1552 (24.84%)
|
|
b = 1.69643 +/- 0.7761 (45.75%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.969 1.000
|