******************************************************************************* Fri Mar 20 15:24:55 2020 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 a c 0 2.4198474954e-02 0.00e+00 2.18e+00 9.000000e+01 3.000000e+00 4 4.3488231068e-03 -7.04e-03 2.18e-04 8.824396e+01 2.727021e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.00434882 rel. change during last iteration : -7.03863e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0294918 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000869765 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.244 +/- 0.3868 (0.4383%) c = 2.72702 +/- 0.1056 (3.873%) correlation matrix of the fit parameters: a c a 1.000 c 0.485 1.000 ******************************************************************************* Fri Mar 20 15:29:34 2020 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 a c 0 3.5210820633e-02 0.00e+00 2.18e+00 9.000000e+01 3.000000e+00 4 1.6362440225e-02 -3.04e-05 2.18e-04 8.830681e+01 2.806302e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0163624 rel. change during last iteration : -3.03978e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0572057 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00327249 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.3068 +/- 0.7317 (0.8285%) c = 2.8063 +/- 0.2058 (7.335%) correlation matrix of the fit parameters: a c a 1.000 c 0.494 1.000 ******************************************************************************* Fri Mar 20 15:32:34 2020 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 a c 0 5.1065376478e-02 0.00e+00 2.70e+00 9.000000e+01 3.000000e+00 4 1.4920505505e-02 -1.51e-02 2.70e-04 8.765383e+01 2.713809e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0149205 rel. change during last iteration : -1.5142e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0461682 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021315 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 87.6538 +/- 0.6072 (0.6927%) c = 2.71381 +/- 0.1036 (3.818%) correlation matrix of the fit parameters: a c a 1.000 c 0.778 1.000 ******************************************************************************* Fri Mar 20 15:34:37 2020 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 a c 0 4.5696566644e-02 0.00e+00 3.33e+00 9.000000e+01 3.000000e+00 4 1.8614419678e-02 -2.33e-03 3.33e-04 8.812922e+01 2.816772e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0186144 rel. change during last iteration : -2.33283e-08 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0454782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00206827 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1292 +/- 0.5531 (0.6276%) c = 2.81677 +/- 0.07133 (2.532%) correlation matrix of the fit parameters: a c a 1.000 c 0.869 1.000 ******************************************************************************* Fri Mar 20 15:35:52 2020 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 a c 0 6.1180491846e-02 0.00e+00 4.09e+00 9.000000e+01 3.000000e+00 4 2.5433367897e-02 -5.68e-03 4.09e-04 8.817564e+01 2.779399e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0254334 rel. change during last iteration : -5.68239e-08 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0480846 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00231212 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1756 +/- 0.5516 (0.6255%) c = 2.7794 +/- 0.05522 (1.987%) correlation matrix of the fit parameters: a c a 1.000 c 0.909 1.000 ******************************************************************************* Fri Mar 20 15:37:14 2020 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 Warning: Initial value of parameter 'b' is zero. iter chisq delta/lim lambda a b 0 6.2288502820e-02 0.00e+00 3.92e+00 9.000000e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 20 15:38:15 2020 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 a b 0 1.2922635471e+01 0.00e+00 3.98e+00 9.000000e+01 1.000000e+00 5 1.4461768482e-02 -4.40e-04 3.98e-05 9.251282e+01 1.364010e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0144618 rel. change during last iteration : -4.40285e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0362589 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00131471 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 92.5128 +/- 0.4003 (0.4327%) b = 0.136401 +/- 0.02207 (16.18%) correlation matrix of the fit parameters: a b a 1.000 b 0.890 1.000 ******************************************************************************* Fri Mar 20 15:40:04 2020 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 a b 0 1.2515708311e+01 0.00e+00 3.98e+00 9.000000e+01 1.000000e+00 5 2.7542299614e-02 -3.01e-04 3.98e-05 9.185895e+01 1.191666e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0275423 rel. change during last iteration : -3.01213e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0500384 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00250385 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 91.859 +/- 0.5369 (0.5845%) b = 0.119167 +/- 0.03046 (25.56%) correlation matrix of the fit parameters: a b a 1.000 b 0.890 1.000 ******************************************************************************* Fri Mar 20 15:41:27 2020 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 a b 0 1.2358143674e+01 0.00e+00 3.98e+00 9.000000e+01 1.000000e+00 5 2.7823988100e-02 -2.97e-04 3.98e-05 9.180723e+01 1.227006e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.027824 rel. change during last iteration : -2.97229e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0502937 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00252945 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 91.8072 +/- 0.5385 (0.5865%) b = 0.122701 +/- 0.03061 (24.95%) correlation matrix of the fit parameters: a b a 1.000 b 0.890 1.000 ******************************************************************************* Sat May 16 14:21:36 2020 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 a b 0 1.2322210368e+01 0.00e+00 3.98e+00 9.000000e+01 1.000000e+00 5 2.6928625686e-02 -2.90e-04 3.98e-05 9.192061e+01 1.299747e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0269286 rel. change during last iteration : -2.90326e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0494778 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00244806 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 91.9206 +/- 0.5324 (0.5791%) b = 0.129975 +/- 0.03012 (23.17%) correlation matrix of the fit parameters: a b a 1.000 b 0.890 1.000 ******************************************************************************* Sat May 16 14:22:16 2020 FIT: data read from "out.gsl.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 a b 0 9.5979908036e+01 0.00e+00 3.98e+00 9.000000e+01 1.000000e+00 7 1.6725501070e-03 -6.22e-01 3.98e-07 2.597148e+02 -1.547329e-02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00167255 rel. change during last iteration : -6.22493e-06 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0123309 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00015205 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 259.715 +/- 8.455 (3.256%) b = -0.0154733 +/- 0.007506 (48.51%) correlation matrix of the fit parameters: a b a 1.000 b 0.890 1.000 ******************************************************************************* Sat May 16 14:23:32 2020 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 a b 0 1.2322210368e+01 0.00e+00 3.98e+00 9.000000e+01 1.000000e+00 5 2.6928625686e-02 -2.90e-04 3.98e-05 9.192061e+01 1.299747e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0269286 rel. change during last iteration : -2.90326e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0494778 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00244806 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 91.9206 +/- 0.5324 (0.5791%) b = 0.129975 +/- 0.03012 (23.17%) correlation matrix of the fit parameters: a b a 1.000 b 0.890 1.000 ******************************************************************************* Sat May 16 14:23:33 2020 FIT: data read from "out.gsl.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 a b 0 1.6267023256e+02 0.00e+00 6.37e+00 9.000000e+01 1.000000e+00 8 2.5410924034e-03 -9.02e-06 6.37e-08 2.753141e+02 -4.449398e-03 After 8 iterations the fit converged. final sum of squares of residuals : 0.00254109 rel. change during last iteration : -9.023e-11 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0168031 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000282344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 275.314 +/- 12.91 (4.691%) b = -0.0044494 +/- 0.01468 (329.9%) correlation matrix of the fit parameters: a b a 1.000 b 0.939 1.000 ******************************************************************************* Sat May 16 14:24:47 2020 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 a b 0 1.2322210368e+01 0.00e+00 3.98e+00 9.000000e+01 1.000000e+00 5 2.6928625686e-02 -2.90e-04 3.98e-05 9.192061e+01 1.299747e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0269286 rel. change during last iteration : -2.90326e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0494778 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00244806 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 91.9206 +/- 0.5324 (0.5791%) b = 0.129975 +/- 0.03012 (23.17%) correlation matrix of the fit parameters: a b a 1.000 b 0.890 1.000 ******************************************************************************* Sat May 16 14:24:48 2020 FIT: data read from "out.gsl.txt" format = z #datapoints = 6 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 a b 0 4.4007564498e+02 0.00e+00 1.67e+01 9.000000e+01 1.000000e+00 8 8.1411335037e-04 -5.10e-06 1.67e-07 2.861597e+02 2.475356e-02 After 8 iterations the fit converged. final sum of squares of residuals : 0.000814113 rel. change during last iteration : -5.09777e-11 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203528 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 286.16 +/- 8.24 (2.879%) b = 0.0247536 +/- 0.0211 (85.24%) correlation matrix of the fit parameters: a b a 1.000 b 0.961 1.000 ******************************************************************************* Sat May 16 14:25:11 2020 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 a b 0 1.2322210368e+01 0.00e+00 3.98e+00 9.000000e+01 1.000000e+00 5 2.6928625686e-02 -2.90e-04 3.98e-05 9.192061e+01 1.299747e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0269286 rel. change during last iteration : -2.90326e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0494778 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00244806 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 91.9206 +/- 0.5324 (0.5791%) b = 0.129975 +/- 0.03012 (23.17%) correlation matrix of the fit parameters: a b a 1.000 b 0.890 1.000 ******************************************************************************* Sat May 16 14:25:21 2020 FIT: data read from "out.gsl.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 a b 0 6.3051970740e+03 0.00e+00 5.07e+01 9.000000e+01 1.000000e+00 8 4.3323521736e-02 -4.22e-05 5.07e-07 2.562472e+02 -1.104766e-01 After 8 iterations the fit converged. final sum of squares of residuals : 0.0433235 rel. change during last iteration : -4.22438e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.069381 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481372 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 256.247 +/- 5.002 (1.952%) b = -0.110477 +/- 0.06061 (54.86%) correlation matrix of the fit parameters: a b a 1.000 b 0.939 1.000