******************************************************************************* Tue Apr 18 21:14:08 2017 FIT: data read from "out.times.txt" format = z #datapoints = 3 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.1403830508e+04 0.00e+00 1.34e+02 1.000000e-01 5.000000e+00 9 1.4180185648e-03 -4.26e-01 1.34e-07 6.468230e-01 1.978037e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.00141802 rel. change during last iteration : -4.25943e-06 degrees of freedom (FIT_NDF) : 1 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0376566 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00141802 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.646823 +/- 0.04165 (6.439%) a = 19.7804 +/- 0.2698 (1.364%) correlation matrix of the fit parameters: b a b 1.000 a 0.853 1.000 ******************************************************************************* Tue Apr 18 21:15:23 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 8.5495695640e+03 0.00e+00 1.00e+02 1.000000e-01 5.000000e+00 9 2.4796644436e-03 -5.48e-01 1.00e-07 7.764107e-01 2.037557e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.00247966 rel. change during last iteration : -5.47653e-06 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0352113 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00123983 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.776411 +/- 0.02632 (3.39%) a = 20.3756 +/- 0.2556 (1.254%) correlation matrix of the fit parameters: b a b 1.000 a 0.743 1.000 ******************************************************************************* Tue Apr 18 21:16:30 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 8.5515337040e+03 0.00e+00 1.00e+02 1.000000e-01 5.000000e+00 9 2.0102930878e-03 -6.54e-01 1.00e-07 7.685568e-01 2.037096e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.00201029 rel. change during last iteration : -6.54229e-06 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.031704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00100515 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.768557 +/- 0.0237 (3.084%) a = 20.371 +/- 0.2299 (1.129%) correlation matrix of the fit parameters: b a b 1.000 a 0.743 1.000 ******************************************************************************* Tue Apr 18 21:17:34 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 8.5593926840e+03 0.00e+00 1.00e+02 1.000000e-01 5.000000e+00 9 4.6358882459e-03 -2.77e-01 1.00e-07 7.426441e-01 2.039168e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.00463589 rel. change during last iteration : -2.77436e-06 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.048145 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00231794 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.742644 +/- 0.03599 (4.847%) a = 20.3917 +/- 0.3506 (1.719%) correlation matrix of the fit parameters: b a b 1.000 a 0.743 1.000 ******************************************************************************* Tue Apr 18 21:18:25 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 8.6375830640e+03 0.00e+00 1.00e+02 1.000000e-01 5.000000e+00 10 5.5886242682e-04 -3.43e-04 1.00e-08 7.520192e-01 2.309195e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.000558862 rel. change during last iteration : -3.42831e-09 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0167162 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000279431 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.752019 +/- 0.0125 (1.662%) a = 23.0919 +/- 0.2002 (0.8668%) correlation matrix of the fit parameters: b a b 1.000 a 0.743 1.000 ******************************************************************************* Tue Apr 18 21:19:12 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 8.5602413240e+03 0.00e+00 1.00e+02 1.000000e-01 5.000000e+00 10 4.8482110280e-04 -1.39e-05 1.00e-08 7.574974e-01 2.052216e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.000484821 rel. change during last iteration : -1.39236e-10 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0155695 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000242411 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.757497 +/- 0.01164 (1.537%) a = 20.5222 +/- 0.1163 (0.5667%) correlation matrix of the fit parameters: b a b 1.000 a 0.743 1.000 ******************************************************************************* Tue Apr 18 21:20:17 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 8.5602413240e+03 0.00e+00 1.00e+02 1.000000e-01 5.000000e+00 10 4.8482110280e-04 -1.39e-05 1.00e-08 7.574974e-01 2.052216e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.000484821 rel. change during last iteration : -1.39236e-10 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0155695 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000242411 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.757497 +/- 0.01164 (1.537%) a = 20.5222 +/- 0.1163 (0.5667%) correlation matrix of the fit parameters: b a b 1.000 a 0.743 1.000 ******************************************************************************* Tue Apr 18 21:21:07 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:22:22 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:22:41 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:23:27 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:24:26 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:25:19 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:26:26 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:28:33 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:29:02 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:29:18 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.2381928760e+04 0.00e+00 1.74e+02 1.000000e-01 5.000000e+00 9 1.4452348866e-02 -6.37e-02 1.74e-07 7.471577e-01 2.008674e+01 After 9 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -6.37011e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:29:46 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.6837927290e+05 0.00e+00 4.57e+02 1.000000e-01 5.000000e+00 10 1.2937919806e-03 -8.01e-03 4.57e-08 8.287995e-01 2.104351e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.00129379 rel. change during last iteration : -8.0114e-08 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0207669 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000431264 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.828799 +/- 0.01288 (1.554%) a = 21.0435 +/- 0.06409 (0.3046%) correlation matrix of the fit parameters: b a b 1.000 a 0.693 1.000 ******************************************************************************* Tue Apr 18 21:30:05 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a c 0 3.2381928760e+04 0.00e+00 2.72e+02 1.000000e-01 5.000000e+00 3.000000e+00 10 1.2900945383e-03 -3.26e-05 2.72e-01 8.300915e-01 2.105852e+01 3.509056e+00 After 10 iterations the fit converged. final sum of squares of residuals : 0.00129009 rel. change during last iteration : -3.25998e-10 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0253978 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000645047 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.830091 +/- 0.02336 (2.814%) a = 21.0585 +/- 0.2158 (1.025%) c = 3.50906 +/- 0.1213 (3.456%) correlation matrix of the fit parameters: b a c b 1.000 a 0.858 1.000 c 0.739 0.932 1.000 ******************************************************************************* Tue Apr 18 21:30:46 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 2.1269921875e-02 0.00e+00 2.76e+00 7.000000e-01 2.000000e+01 4 1.4452348866e-02 -1.65e-04 2.76e-04 7.471577e-01 2.008674e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -1.64797e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:31:17 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 2.1269921875e-02 0.00e+00 2.76e+00 7.000000e-01 2.000000e+01 4 1.4452348866e-02 -1.65e-04 2.76e-04 7.471577e-01 2.008674e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0144523 rel. change during last iteration : -1.64797e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481745 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.747158 +/- 0.04515 (6.043%) a = 20.0867 +/- 0.2389 (1.189%) correlation matrix of the fit parameters: b a b 1.000 a 0.726 1.000 ******************************************************************************* Tue Apr 18 21:31:30 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2676656250e-02 0.00e+00 3.08e+00 7.000000e-01 2.000000e+01 4 1.2282335596e-02 -2.26e-04 3.08e-04 6.889856e-01 1.992475e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0122823 rel. change during last iteration : -2.26425e-09 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0783656 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00614117 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.688986 +/- 0.06598 (9.576%) a = 19.9248 +/- 0.3023 (1.517%) correlation matrix of the fit parameters: b a b 1.000 a 0.805 1.000 ******************************************************************************* Tue Apr 18 21:32:07 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2676656250e-02 0.00e+00 3.08e+00 7.000000e-01 2.000000e+01 4 1.2282335596e-02 -2.26e-04 3.08e-04 6.889856e-01 1.992475e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0122823 rel. change during last iteration : -2.26425e-09 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0783656 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00614117 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.688986 +/- 0.06598 (9.576%) a = 19.9248 +/- 0.3023 (1.517%) correlation matrix of the fit parameters: b a b 1.000 a 0.805 1.000 ******************************************************************************* Tue Apr 18 21:32:20 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9029156250e-02 0.00e+00 3.46e+00 7.000000e-01 2.000000e+01 4 1.5386284644e-02 -1.69e-03 3.46e-04 6.788637e-01 1.981854e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0153863 rel. change during last iteration : -1.69458e-08 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0877106 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00769314 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.678864 +/- 0.07567 (11.15%) a = 19.8185 +/- 0.3015 (1.521%) correlation matrix of the fit parameters: b a b 1.000 a 0.815 1.000 ******************************************************************************* Tue Apr 18 21:33:02 2017 FIT: data read from "out.times.txt" format = z #datapoints = 4 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9029156250e-02 0.00e+00 3.46e+00 7.000000e-01 2.000000e+01 4 1.5386284644e-02 -1.69e-03 3.46e-04 6.788637e-01 1.981854e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0153863 rel. change during last iteration : -1.69458e-08 degrees of freedom (FIT_NDF) : 2 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0877106 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00769314 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.678864 +/- 0.07567 (11.15%) a = 19.8185 +/- 0.3015 (1.521%) correlation matrix of the fit parameters: b a b 1.000 a 0.815 1.000 ******************************************************************************* Tue Apr 18 21:33:16 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 6.2803046875e-02 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 3.6305499715e-02 -1.09e-03 2.49e-04 6.496183e-01 1.939731e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0363055 rel. change during last iteration : -1.09458e-08 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110008 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0121018 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.649618 +/- 0.09458 (14.56%) a = 19.3973 +/- 0.4844 (2.497%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 18 21:33:45 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2763046875e-02 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 5.0384719461e-03 -3.22e-04 2.49e-04 6.894155e-01 1.973039e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.00503847 rel. change during last iteration : -3.21637e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0409816 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00167949 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.689415 +/- 0.03523 (5.111%) a = 19.7304 +/- 0.1932 (0.9791%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 18 21:39:14 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2763046875e-02 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 5.0384719461e-03 -3.22e-04 2.49e-04 6.894155e-01 1.973039e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.00503847 rel. change during last iteration : -3.21637e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0409816 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00167949 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.689415 +/- 0.03523 (5.111%) a = 19.7304 +/- 0.1932 (0.9791%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 18 21:39:35 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2763046875e-02 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 5.0384719461e-03 -3.22e-04 2.49e-04 6.894155e-01 1.973039e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.00503847 rel. change during last iteration : -3.21637e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0409816 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00167949 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.689415 +/- 0.03523 (5.111%) a = 19.7304 +/- 0.1932 (0.9791%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 18 21:40:57 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2763046875e-02 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 5.0384719461e-03 -3.22e-04 2.49e-04 6.894155e-01 1.973039e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.00503847 rel. change during last iteration : -3.21637e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0409816 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00167949 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.689415 +/- 0.03523 (5.111%) a = 19.7304 +/- 0.1932 (0.9791%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 18 21:41:30 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2763046875e-02 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 5.0384719461e-03 -3.22e-04 2.49e-04 6.894155e-01 1.973039e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.00503847 rel. change during last iteration : -3.21637e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0409816 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00167949 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.689415 +/- 0.03523 (5.111%) a = 19.7304 +/- 0.1932 (0.9791%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 18 21:49:37 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2763046875e-02 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 5.0384719461e-03 -3.22e-04 2.49e-04 6.894155e-01 1.973039e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.00503847 rel. change during last iteration : -3.21637e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0409816 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00167949 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.689415 +/- 0.03523 (5.111%) a = 19.7304 +/- 0.1932 (0.9791%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 25 11:33:58 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.2763046875e-02 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 5.0384719461e-03 -3.22e-04 2.49e-04 6.894155e-01 1.973039e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.00503847 rel. change during last iteration : -3.21637e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0409816 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00167949 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.689415 +/- 0.03523 (5.111%) a = 19.7304 +/- 0.1932 (0.9791%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Fri Apr 28 17:01:49 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 7.4433554688e-01 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 3.0218523720e-02 -1.18e-01 2.49e-04 5.429890e-01 2.157622e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0302185 rel. change during last iteration : -1.18327e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.100364 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0100728 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.542989 +/- 0.08629 (15.89%) a = 21.5762 +/- 0.6766 (3.136%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Fri Apr 28 17:05:35 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 7.1009554688e-01 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 5 3.1091232236e-04 -1.80e-05 2.49e-05 5.705978e-01 2.177790e+01 After 5 iterations the fit converged. final sum of squares of residuals : 0.000310912 rel. change during last iteration : -1.80493e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0101802 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000103637 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.570598 +/- 0.008753 (1.534%) a = 21.7779 +/- 0.07123 (0.3271%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Fri Apr 28 17:06:29 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 9.4631804688e-01 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 4.1559011177e-03 -4.09e-01 2.49e-04 5.688251e-01 2.225682e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0041559 rel. change during last iteration : -4.08765e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0372196 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0013853 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.568825 +/- 0.032 (5.626%) a = 22.2568 +/- 0.2841 (1.276%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 10 22:16:05 2018 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.4042730469e+00 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 4.7282064686e-02 -5.34e-01 2.49e-04 8.694811e-01 1.823455e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0472821 rel. change during last iteration : -5.34115e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.125542 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0157607 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.869481 +/- 0.1079 (12.41%) a = 18.2346 +/- 0.4317 (2.368%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 10 22:16:56 2018 FIT: data read from "out.times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.4042730469e+00 0.00e+00 2.49e+00 7.000000e-01 2.000000e+01 4 4.7282064686e-02 -5.34e-01 2.49e-04 8.694811e-01 1.823455e+01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0472821 rel. change during last iteration : -5.34115e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.125542 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0157607 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.869481 +/- 0.1079 (12.41%) a = 18.2346 +/- 0.4317 (2.368%) correlation matrix of the fit parameters: b a b 1.000 a 0.854 1.000 ******************************************************************************* Tue Apr 10 22:17:20 2018 FIT: data read from "out.times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7950274844e+00 0.00e+00 2.43e+00 7.000000e-01 2.000000e+01 5 4.0377337081e-02 -4.10e-06 2.43e-05 8.815141e-01 1.833220e+01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0403773 rel. change during last iteration : -4.09585e-11 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0898636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00807547 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.881514 +/- 0.06762 (7.671%) a = 18.3322 +/- 0.2839 (1.548%) correlation matrix of the fit parameters: b a b 1.000 a 0.865 1.000 ******************************************************************************* Tue Apr 10 22:18:28 2018 FIT: data read from "out.times.txt" format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 2.8463289844e+00 0.00e+00 2.36e+00 7.000000e-01 2.000000e+01 5 4.2383224403e-02 -7.66e-06 2.36e-05 9.155151e-01 1.860832e+01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0423832 rel. change during last iteration : -7.6582e-11 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0620727 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00385302 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.915515 +/- 0.03576 (3.906%) a = 18.6083 +/- 0.1639 (0.8809%) correlation matrix of the fit parameters: b a b 1.000 a 0.876 1.000 ******************************************************************************* Tue Apr 10 22:19:11 2018 FIT: data read from "out.times.txt" format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a c 0 2.8463289844e+00 0.00e+00 1.96e+00 7.000000e-01 2.000000e+01 3.000000e+00 6 1.5938519482e-02 -7.62e-05 1.96e-01 1.156710e+00 2.028492e+01 3.918019e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.0159385 rel. change during last iteration : -7.62445e-10 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0399231 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00159385 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 1.15671 +/- 0.04987 (4.312%) a = 20.2849 +/- 0.3193 (1.574%) c = 3.91802 +/- 0.2272 (5.798%) correlation matrix of the fit parameters: b a c b 1.000 a 0.973 1.000 c 0.921 0.961 1.000 ******************************************************************************* Tue Apr 10 22:20:16 2018 FIT: data read from "out.times.txt" format = z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a c 0 1.4936169531e+00 0.00e+00 1.05e+00 7.000000e-01 2.000000e+01 3.000000e+00 5 7.6033336811e-03 -1.72e-01 1.05e-05 1.018674e+00 1.904916e+01 3.447911e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00760333 rel. change during last iteration : -1.71831e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0308288 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000950417 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 1.01867 +/- 0.0459 (4.506%) a = 19.0492 +/- 0.2654 (1.393%) c = 3.44791 +/- 0.3356 (9.734%) correlation matrix of the fit parameters: b a c b 1.000 a 0.940 1.000 c 0.929 0.823 1.000 ******************************************************************************* Tue Apr 10 22:21:30 2018 FIT: data read from "out.times.txt" format = z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a c 0 1.3078857188e+00 0.00e+00 9.16e-01 7.000000e-01 2.000000e+01 3.000000e+00 5 7.8845157927e-03 -1.23e-04 9.16e-06 1.018430e+00 1.937724e+01 3.168135e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00788452 rel. change during last iteration : -1.22597e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0313937 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000985564 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 1.01843 +/- 0.04763 (4.677%) a = 19.3772 +/- 0.2555 (1.319%) c = 3.16814 +/- 0.3992 (12.6%) correlation matrix of the fit parameters: b a c b 1.000 a 0.766 1.000 c 0.930 0.546 1.000 ******************************************************************************* Tue Apr 10 22:22:38 2018 FIT: data read from "out.times.txt" format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda b a c 0 1.7157613594e+00 0.00e+00 1.13e+00 7.000000e-01 2.000000e+01 3.000000e+00 5 1.1248375312e-02 -2.53e-01 1.13e-05 1.060654e+00 1.948591e+01 3.772205e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0112484 rel. change during last iteration : -2.52544e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335386 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112484 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 1.06065 +/- 0.03089 (2.913%) a = 19.4859 +/- 0.1888 (0.9687%) c = 3.7722 +/- 0.265 (7.024%) correlation matrix of the fit parameters: b a c b 1.000 a 0.913 1.000 c 0.877 0.768 1.000