******************************************************************************* Thu May 19 17:23:23 2022 FIT: data read from "out.times.txt" format = z #datapoints = 21 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 c 0 2.6162912500e+01 0.00e+00 1.61e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 3.3848598765e-01 -4.27e-03 1.61e-05 1.099723e+02 9.118649e-02 1.873554e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.338486 rel. change during last iteration : -4.26794e-08 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.137131 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0188048 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.972 +/- 14.1 (12.83%) b = 0.0911865 +/- 0.2091 (229.3%) c = 1.87355 +/- 0.4875 (26.02%) correlation matrix of the fit parameters: a b c a 1.000 b 0.990 1.000 c 0.965 0.952 1.000 ******************************************************************************* Thu May 19 17:25:54 2022 FIT: data read from "out.times.txt" format = z #datapoints = 51 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 c 0 5.7872442400e+01 0.00e+00 1.59e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 1.0014129594e+00 -6.17e-06 1.59e-05 1.118053e+02 1.665983e-01 2.049961e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.00141 rel. change during last iteration : -6.17034e-11 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.14444 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0208628 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 111.805 +/- 8.12 (7.263%) b = 0.166598 +/- 0.128 (76.84%) c = 2.04996 +/- 0.338 (16.49%) correlation matrix of the fit parameters: a b c a 1.000 b 0.987 1.000 c 0.960 0.946 1.000 ******************************************************************************* Thu May 19 17:27:30 2022 FIT: data read from "out.times.txt" format = z #datapoints = 71 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 c 0 6.1449103310e+01 0.00e+00 8.63e-01 1.000000e+02 1.000000e+00 2.000000e+00 4 3.7451834003e-01 -1.25e-02 8.63e-05 1.093775e+02 2.206934e-01 2.545966e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.374518 rel. change during last iteration : -1.24518e-07 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0742134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00550762 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.378 +/- 1.791 (1.638%) b = 0.220693 +/- 0.03526 (15.98%) c = 2.54597 +/- 0.3239 (12.72%) correlation matrix of the fit parameters: a b c a 1.000 b 0.044 1.000 c -0.324 0.901 1.000 ******************************************************************************* Thu May 19 17:28:48 2022 FIT: data read from "out.times.txt" format = z #datapoints = 16 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 c 0 1.7284800000e+01 0.00e+00 2.86e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 4.0720127438e-01 -1.46e-02 2.86e-05 1.260948e+02 3.785492e-01 3.040994e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.407201 rel. change during last iteration : -1.46458e-07 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.176984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0313232 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 126.095 +/- 5.893 (4.674%) b = 0.378549 +/- 0.114 (30.12%) c = 3.04099 +/- 0.2914 (9.583%) correlation matrix of the fit parameters: a b c a 1.000 b 0.896 1.000 c 0.968 0.814 1.000 ******************************************************************************* Thu May 19 17:51:42 2022 FIT: data read from "out.times.txt" format = z #datapoints = 16 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 c 0 1.7082600000e+01 0.00e+00 2.86e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 4.0736545250e-01 -1.01e-02 2.86e-05 1.244845e+02 3.556478e-01 2.964968e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.407365 rel. change during last iteration : -1.00963e-07 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177019 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0313358 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 124.485 +/- 6.061 (4.869%) b = 0.355648 +/- 0.1172 (32.94%) c = 2.96497 +/- 0.2866 (9.665%) correlation matrix of the fit parameters: a b c a 1.000 b 0.901 1.000 c 0.969 0.821 1.000 ******************************************************************************* Thu May 19 17:56:39 2022 FIT: data read from "out.times.txt" format = z #datapoints = 16 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 c 0 1.8243880000e+02 0.00e+00 2.86e+00 1.000000e+02 1.000000e+00 2.000000e+00 6 8.9399996033e+01 -6.21e-02 2.86e-05 7.702082e+01 -1.632399e-01 2.487313e+00 After 6 iterations the fit converged. final sum of squares of residuals : 89.4 rel. change during last iteration : -6.21176e-07 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.62239 variance of residuals (reduced chisquare) = WSSR/ndf : 6.87692 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.0208 +/- 46.4 (60.24%) b = -0.16324 +/- 2.128 (1304%) c = 2.48731 +/- 1.487 (59.78%) correlation matrix of the fit parameters: a b c a 1.000 b 0.910 1.000 c 0.991 0.865 1.000 ******************************************************************************* Thu May 19 18:00:02 2022 FIT: data read from "out.times.txt" format = z #datapoints = 16 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 c 0 1.7008100000e+01 0.00e+00 2.86e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 4.0570876075e-01 -1.77e-02 2.86e-05 1.261552e+02 3.746029e-01 3.097587e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.405709 rel. change during last iteration : -1.76929e-07 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.176659 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0312084 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 126.155 +/- 5.663 (4.489%) b = 0.374603 +/- 0.1117 (29.81%) c = 3.09759 +/- 0.2868 (9.258%) correlation matrix of the fit parameters: a b c a 1.000 b 0.892 1.000 c 0.968 0.809 1.000 ******************************************************************************* Thu May 19 18:02:06 2022 FIT: data read from "out.times.txt" format = z #datapoints = 16 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 c 0 2.3005200000e+01 0.00e+00 2.86e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 8.5450066319e-01 -3.41e-03 2.86e-05 1.163700e+02 1.490288e-01 2.390822e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.854501 rel. change during last iteration : -3.40577e-08 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.25638 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0657308 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 116.37 +/- 12.5 (10.74%) b = 0.149029 +/- 0.2188 (146.8%) c = 2.39082 +/- 0.422 (17.65%) correlation matrix of the fit parameters: a b c a 1.000 b 0.939 1.000 c 0.974 0.874 1.000 ******************************************************************************* Thu May 19 18:03:38 2022 FIT: data read from "out.times.txt" format = z #datapoints = 16 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 c 0 3.9724700000e+01 0.00e+00 2.86e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 4.2731981127e-01 -1.00e-01 2.86e-05 1.454182e+02 3.397177e-01 3.168924e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.42732 rel. change during last iteration : -1.00382e-06 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.181303 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0328708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 145.418 +/- 7.185 (4.941%) b = 0.339718 +/- 0.112 (32.97%) c = 3.16892 +/- 0.453 (14.29%) correlation matrix of the fit parameters: a b c a 1.000 b 0.905 1.000 c 0.938 0.802 1.000 ******************************************************************************* Thu May 19 18:10:12 2022 FIT: data read from "out.times.txt" format = z #datapoints = 16 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 c 0 1.7196600000e+01 0.00e+00 2.86e+00 1.000000e+02 1.000000e+00 2.000000e+00 4 1.2380255095e+00 -1.81e-01 2.86e-04 1.041848e+02 3.118319e-02 2.181105e+00 After 4 iterations the fit converged. final sum of squares of residuals : 1.23803 rel. change during last iteration : -1.80643e-06 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.308598 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0952327 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.185 +/- 15.36 (14.74%) b = 0.0311832 +/- 0.2976 (954.4%) c = 2.18111 +/- 0.4348 (19.94%) correlation matrix of the fit parameters: a b c a 1.000 b 0.948 1.000 c 0.981 0.893 1.000 ******************************************************************************* Thu May 19 18:12:14 2022 FIT: data read from "out.times.txt" format = z #datapoints = 16 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 c 0 3.9042500000e+01 0.00e+00 2.86e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 3.4315184839e-01 -2.95e-02 2.86e-05 1.440559e+02 3.282897e-01 3.111181e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.343152 rel. change during last iteration : -2.95257e-07 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.162469 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0263963 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 144.056 +/- 6.564 (4.556%) b = 0.32829 +/- 0.1022 (31.14%) c = 3.11118 +/- 0.3972 (12.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.907 1.000 c 0.941 0.807 1.000 ******************************************************************************* Thu May 19 18:14:57 2022 FIT: data read from "out.times.txt" format = z #datapoints = 26 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 c 0 9.8527400000e+01 0.00e+00 7.15e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 1.0562993275e+01 -4.84e-02 7.15e-05 1.514005e+02 5.357240e-01 2.938539e+00 After 5 iterations the fit converged. final sum of squares of residuals : 10.563 rel. change during last iteration : -4.83629e-07 degrees of freedom (FIT_NDF) : 23 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.677688 variance of residuals (reduced chisquare) = WSSR/ndf : 0.459261 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 151.4 +/- 15.65 (10.34%) b = 0.535724 +/- 0.3 (56%) c = 2.93854 +/- 0.4429 (15.07%) correlation matrix of the fit parameters: a b c a 1.000 b 0.844 1.000 c 0.981 0.769 1.000 ******************************************************************************* Thu May 19 18:18:43 2022 FIT: data read from "out.times.txt" format = z #datapoints = 26 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 c 0 9.8505700000e+01 0.00e+00 7.15e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 1.4585701059e+01 -7.90e-02 7.15e-05 1.521681e+02 5.223605e-01 3.014553e+00 After 5 iterations the fit converged. final sum of squares of residuals : 14.5857 rel. change during last iteration : -7.89945e-07 degrees of freedom (FIT_NDF) : 23 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.796342 variance of residuals (reduced chisquare) = WSSR/ndf : 0.634161 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 152.168 +/- 17.49 (11.5%) b = 0.522361 +/- 0.345 (66.05%) c = 3.01455 +/- 0.5111 (16.95%) correlation matrix of the fit parameters: a b c a 1.000 b 0.837 1.000 c 0.981 0.762 1.000 ******************************************************************************* Tue May 24 11:37:39 2022 FIT: data read from "out.times.txt" format = z #datapoints = 26 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 c 0 9.9749300000e+01 0.00e+00 7.15e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 1.3860647314e+01 -7.06e-02 7.15e-05 1.536543e+02 5.370576e-01 3.050827e+00 After 5 iterations the fit converged. final sum of squares of residuals : 13.8606 rel. change during last iteration : -7.05855e-07 degrees of freedom (FIT_NDF) : 23 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.776297 variance of residuals (reduced chisquare) = WSSR/ndf : 0.602637 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 153.654 +/- 16.98 (11.05%) b = 0.537058 +/- 0.333 (62.01%) c = 3.05083 +/- 0.5052 (16.56%) correlation matrix of the fit parameters: a b c a 1.000 b 0.835 1.000 c 0.981 0.759 1.000 ******************************************************************************* Tue May 24 11:41:20 2022 FIT: data read from "out.times.txt" format = z #datapoints = 23 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 c 0 7.3400318750e+01 0.00e+00 3.69e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 1.7224667993e+00 -4.20e-03 3.69e-05 1.521245e+02 5.541409e-01 3.110021e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.72247 rel. change during last iteration : -4.19611e-08 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.293468 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0861233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 152.124 +/- 19.37 (12.73%) b = 0.554141 +/- 0.3458 (62.41%) c = 3.11002 +/- 0.9675 (31.11%) correlation matrix of the fit parameters: a b c a 1.000 b 0.980 1.000 c 0.978 0.940 1.000 ******************************************************************************* Tue May 24 11:51:18 2022 FIT: data read from "out.times.txt" format = z #datapoints = 23 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 c 0 3.5195018750e+01 0.00e+00 3.69e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 2.6337539058e+00 -7.58e-05 3.69e-05 1.378639e+02 6.344587e-01 3.210728e+00 After 5 iterations the fit converged. final sum of squares of residuals : 2.63375 rel. change during last iteration : -7.57769e-10 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.362888 variance of residuals (reduced chisquare) = WSSR/ndf : 0.131688 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 137.864 +/- 18.12 (13.14%) b = 0.634459 +/- 0.4059 (63.97%) c = 3.21073 +/- 0.8449 (26.32%) correlation matrix of the fit parameters: a b c a 1.000 b 0.973 1.000 c 0.985 0.936 1.000 ******************************************************************************* Tue May 24 11:56:04 2022 FIT: data read from "out.times.txt" format = z #datapoints = 23 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 c 0 6.0930868750e+01 0.00e+00 3.69e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 1.1850588092e+00 -3.33e-02 3.69e-05 1.480798e+02 5.303488e-01 3.368532e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.18506 rel. change during last iteration : -3.32712e-07 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.243419 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0592529 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 148.08 +/- 12.47 (8.42%) b = 0.530349 +/- 0.252 (47.51%) c = 3.36853 +/- 0.6771 (20.1%) correlation matrix of the fit parameters: a b c a 1.000 b 0.972 1.000 c 0.980 0.929 1.000 ******************************************************************************* Tue May 24 12:06:03 2022 FIT: data read from "out.times.txt" format = z #datapoints = 23 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 c 0 6.1688318750e+01 0.00e+00 3.69e+00 1.000000e+02 1.000000e+00 2.000000e+00 5 1.1964569297e+00 -7.09e-02 3.69e-05 1.493696e+02 5.546130e-01 3.401967e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.19646 rel. change during last iteration : -7.09029e-07 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.244587 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0598228 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 149.37 +/- 12.43 (8.323%) b = 0.554613 +/- 0.2492 (44.94%) c = 3.40197 +/- 0.6932 (20.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.972 1.000 c 0.979 0.928 1.000 ******************************************************************************* Tue May 24 12:08:32 2022 FIT: data read from "out.times.txt" format = z #datapoints = 23 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 3.1674363430e+02 0.00e+00 1.04e+01 1.000000e+02 1.000000e+00 5 1.2167605404e+00 -1.10e-05 1.04e-04 1.413801e+02 4.029956e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.21676 rel. change during last iteration : -1.09612e-10 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.240709 variance of residuals (reduced chisquare) = WSSR/ndf : 0.057941 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 141.38 +/- 2.681 (1.896%) b = 0.402996 +/- 0.09879 (24.52%) correlation matrix of the fit parameters: a b a 1.000 b 0.861 1.000 ******************************************************************************* Tue May 24 12:10:01 2022 FIT: data read from "out.times.txt" format = z #datapoints = 51 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 1.3006611809e+02 0.00e+00 3.42e+00 1.000000e+02 1.000000e+00 5 8.9760416084e-01 -3.41e-06 3.42e-05 1.390567e+02 3.180745e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.897604 rel. change during last iteration : -3.4118e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.135346 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0183185 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 139.057 +/- 2.471 (1.777%) b = 0.318074 +/- 0.03132 (9.845%) correlation matrix of the fit parameters: a b a 1.000 b 0.796 1.000 ******************************************************************************* Tue May 24 12:12:10 2022 FIT: data read from "out.times.txt" format = z #datapoints = 101 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 2.5695049322e+02 0.00e+00 3.40e+00 1.000000e+02 1.000000e+00 5 1.8826630432e+00 -3.00e-07 3.40e-05 1.386225e+02 3.089673e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.88266 rel. change during last iteration : -2.99548e-12 degrees of freedom (FIT_NDF) : 99 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.137901 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0190168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 138.623 +/- 1.786 (1.289%) b = 0.308967 +/- 0.02278 (7.372%) correlation matrix of the fit parameters: a b a 1.000 b 0.798 1.000 ******************************************************************************* Tue May 24 12:14:04 2022 FIT: data read from "out.times.txt" format = z #datapoints = 101 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 c 0 2.5584169948e+02 0.00e+00 2.90e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 1.8664005653e+00 -8.86e-05 2.90e-05 1.357014e+02 2.504786e-01 2.589607e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.8664 rel. change during last iteration : -8.86458e-10 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.138003 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0190449 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 135.701 +/- 3.435 (2.532%) b = 0.250479 +/- 0.06101 (24.36%) c = 2.58961 +/- 0.3361 (12.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.938 1.000 c 0.810 0.915 1.000 ******************************************************************************* Tue May 24 12:16:25 2022 FIT: data read from "out.times.txt" format = z #datapoints = 101 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 c 0 3.3127391658e+02 0.00e+00 2.90e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 7.2877465879e-02 -6.13e-07 2.90e+00 1.614639e+02 2.208570e-01 2.313335e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.0728775 rel. change during last iteration : -6.13078e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0272699 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000743648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 161.464 +/- 0.8372 (0.5185%) b = 0.220857 +/- 0.01436 (6.501%) c = 2.31334 +/- 0.1005 (4.345%) correlation matrix of the fit parameters: a b c a 1.000 b 0.417 1.000 c 0.118 0.932 1.000 ******************************************************************************* Tue May 24 12:18:38 2022 FIT: data read from "out.times.txt" format = z #datapoints = 101 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 c 0 3.7773376456e+02 0.00e+00 2.90e+00 1.000000e+02 1.000000e+00 3.000000e+00 7 4.8622254325e-01 -3.56e-01 2.90e-07 1.592744e+02 -2.389564e-01 6.142565e-01 After 7 iterations the fit converged. final sum of squares of residuals : 0.486223 rel. change during last iteration : -3.56157e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0704376 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00496145 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 159.274 +/- 105.8 (66.43%) b = -0.238956 +/- 0.4261 (178.3%) c = 0.614257 +/- 0.3659 (59.56%) correlation matrix of the fit parameters: a b c a 1.000 b 0.999 1.000 c 0.992 0.996 1.000 ******************************************************************************* Tue May 24 12:21:39 2022 FIT: data read from "out.times.txt" format = z #datapoints = 101 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 c 0 2.5606441406e+02 0.00e+00 2.90e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 1.8455972969e+00 -7.19e-06 2.90e-05 1.350577e+02 2.376976e-01 2.526205e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.8456 rel. change during last iteration : -7.19123e-11 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.137232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0188326 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 135.058 +/- 3.618 (2.679%) b = 0.237698 +/- 0.06299 (26.5%) c = 2.5262 +/- 0.3308 (13.1%) correlation matrix of the fit parameters: a b c a 1.000 b 0.945 1.000 c 0.826 0.919 1.000 ******************************************************************************* Wed Jun 1 10:50:03 2022 FIT: data read from "out.times.txt" format = z #datapoints = 101 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 c 0 2.5686752990e+02 0.00e+00 2.90e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 1.7499232887e+00 -7.02e-06 2.90e-01 1.339542e+02 2.110650e-01 2.360257e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.74992 rel. change during last iteration : -7.01552e-11 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.133628 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0178564 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 133.954 +/- 4.125 (3.08%) b = 0.211065 +/- 0.06815 (32.29%) c = 2.36026 +/- 0.3185 (13.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.958 1.000 c 0.856 0.929 1.000 ******************************************************************************* Wed Jun 1 11:19:38 2022 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 b c 0 1.7028250000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 1.4323390742e+00 -2.13e-02 3.08e-05 1.104406e+02 2.191712e-01 2.713935e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.43234 rel. change during last iteration : -2.12899e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.423134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.179042 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 110.441 +/- 24.34 (22.04%) b = 0.219171 +/- 0.4678 (213.4%) c = 2.71393 +/- 1.557 (57.36%) correlation matrix of the fit parameters: a b c a 1.000 b 0.959 1.000 c 0.952 0.889 1.000 ******************************************************************************* Thu Jun 2 11:07:13 2022 FIT: data read from "out.times.txt" format = z #datapoints = 101 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 c 0 2.5695636896e+02 0.00e+00 2.90e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 1.7950617249e+00 -1.04e-04 2.90e-05 1.346722e+02 2.246069e-01 2.439869e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.79506 rel. change during last iteration : -1.03938e-09 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.13534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.018317 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 134.672 +/- 3.863 (2.869%) b = 0.224607 +/- 0.06554 (29.18%) c = 2.43987 +/- 0.3252 (13.33%) correlation matrix of the fit parameters: a b c a 1.000 b 0.951 1.000 c 0.840 0.924 1.000 ******************************************************************************* Thu Jun 2 11:10:22 2022 FIT: data read from "out.times.txt" format = z #datapoints = 101 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 c 0 2.5666340358e+02 0.00e+00 2.90e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 1.7967075468e+00 -4.45e-06 2.90e-01 1.346391e+02 2.203856e-01 2.359467e+00 After 5 iterations the fit converged. final sum of squares of residuals : 1.79671 rel. change during last iteration : -4.44875e-11 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.135402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0183338 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 134.639 +/- 4.174 (3.1%) b = 0.220386 +/- 0.0691 (31.35%) c = 2.35947 +/- 0.3267 (13.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.955 1.000 c 0.850 0.929 1.000 ******************************************************************************* Thu Jun 2 11:15:31 2022 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 b c 0 2.9058210000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 2.0780718812e-01 -2.37e-01 3.08e-06 1.313574e+02 2.007377e-01 2.322462e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.207807 rel. change during last iteration : -2.36692e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.16117 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0259759 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 131.357 +/- 14.33 (10.91%) b = 0.200738 +/- 0.2232 (111.2%) c = 2.32246 +/- 0.9717 (41.84%) correlation matrix of the fit parameters: a b c a 1.000 b 0.965 1.000 c 0.878 0.918 1.000 ******************************************************************************* Thu Jun 2 11:16:29 2022 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 b c 0 2.9672170000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 1.9595437765e-01 -2.06e-01 3.08e-06 1.313177e+02 1.798917e-01 2.278720e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.195954 rel. change during last iteration : -2.05746e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.156507 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0244943 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 131.318 +/- 14.52 (11.05%) b = 0.179892 +/- 0.2231 (124%) c = 2.27872 +/- 0.9465 (41.54%) correlation matrix of the fit parameters: a b c a 1.000 b 0.966 1.000 c 0.882 0.921 1.000 ******************************************************************************* Thu Jun 2 11:22:00 2022 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 b c 0 2.9586670000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 2.0767196950e-01 -6.23e-02 3.08e-06 1.305226e+02 1.689135e-01 2.170866e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.207672 rel. change during last iteration : -6.23071e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.161118 variance of residuals (reduced chisquare) = WSSR/ndf : 0.025959 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.523 +/- 16.67 (12.77%) b = 0.168914 +/- 0.2476 (146.6%) c = 2.17087 +/- 0.9717 (44.76%) correlation matrix of the fit parameters: a b c a 1.000 b 0.972 1.000 c 0.894 0.928 1.000 ******************************************************************************* Thu Jun 2 11:28:47 2022 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 b c 0 2.6098410000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 1.7201560525e-01 -2.19e-01 3.08e-06 1.138293e+02 3.284075e-02 1.846304e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.172016 rel. change during last iteration : -2.18949e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146635 variance of residuals (reduced chisquare) = WSSR/ndf : 0.021502 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 113.829 +/- 20.81 (18.29%) b = 0.0328407 +/- 0.2929 (892%) c = 1.8463 +/- 0.7194 (38.97%) correlation matrix of the fit parameters: a b c a 1.000 b 0.989 1.000 c 0.959 0.949 1.000 ******************************************************************************* Thu Jun 2 11:29:34 2022 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 b c 0 2.9073310000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 7 1.7238277279e-01 -6.94e-01 3.08e-06 1.070638e+02 -1.082525e-01 1.336194e+00 After 7 iterations the fit converged. final sum of squares of residuals : 0.172383 rel. change during last iteration : -6.94295e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0215478 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 107.064 +/- 45.13 (42.16%) b = -0.108253 +/- 0.5167 (477.3%) c = 1.33619 +/- 0.8133 (60.87%) correlation matrix of the fit parameters: a b c a 1.000 b 0.996 1.000 c 0.979 0.974 1.000 ******************************************************************************* Thu Jun 2 11:30:18 2022 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 b c 0 2.5450290000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 1.6875287024e-01 -1.69e-01 3.08e-06 1.155290e+02 7.283939e-02 1.968438e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.168753 rel. change during last iteration : -1.6854e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145238 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0210941 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 115.529 +/- 17.88 (15.48%) b = 0.0728394 +/- 0.261 (358.3%) c = 1.96844 +/- 0.7072 (35.93%) correlation matrix of the fit parameters: a b c a 1.000 b 0.986 1.000 c 0.952 0.941 1.000 ******************************************************************************* Thu Jun 2 11:37:50 2022 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 b c 0 2.5628130000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 1.6142696298e-01 -3.25e-01 3.08e-06 1.170285e+02 9.253028e-02 1.965219e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.161427 rel. change during last iteration : -3.25034e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.142051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0201784 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 117.029 +/- 17.72 (15.15%) b = 0.0925303 +/- 0.2559 (276.6%) c = 1.96522 +/- 0.71 (36.13%) correlation matrix of the fit parameters: a b c a 1.000 b 0.986 1.000 c 0.950 0.942 1.000 ******************************************************************************* Thu Jun 2 11:41:04 2022 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 b c 0 2.7166750000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 2.8326982869e-01 -1.20e-01 3.08e-05 1.328075e+02 2.960706e-01 2.826934e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.28327 rel. change during last iteration : -1.19659e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.188172 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0354087 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 132.808 +/- 11.14 (8.387%) b = 0.296071 +/- 0.1968 (66.48%) c = 2.82693 +/- 1.14 (40.32%) correlation matrix of the fit parameters: a b c a 1.000 b 0.941 1.000 c 0.831 0.880 1.000 ******************************************************************************* Thu Jun 2 11:42:40 2022 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 b c 0 3.0195610000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 9 5.9423865041e-01 -4.52e-01 3.08e-09 7.973385e+01 -4.308681e-01 9.641365e-01 After 9 iterations the fit converged. final sum of squares of residuals : 0.594239 rel. change during last iteration : -4.5215e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272543 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0742798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 79.7338 +/- 150.4 (188.6%) b = -0.430868 +/- 1.762 (408.9%) c = 0.964136 +/- 1.468 (152.2%) correlation matrix of the fit parameters: a b c a 1.000 b 0.998 1.000 c 0.993 0.987 1.000 ******************************************************************************* Thu Jun 2 11:44:11 2022 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 b c 0 2.7261070000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 3.1827605240e-01 -2.34e-01 3.08e-05 1.324640e+02 2.912712e-01 2.955638e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.318276 rel. change during last iteration : -2.33527e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.199461 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0397845 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 132.464 +/- 10.85 (8.193%) b = 0.291271 +/- 0.1968 (67.56%) c = 2.95564 +/- 1.197 (40.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.937 1.000 c 0.828 0.870 1.000 ******************************************************************************* Fri Jul 22 23:52:54 2022 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 b c 0 3.1425690000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 7.9757633171e-02 -8.07e-02 3.08e-05 1.364271e+02 1.969703e-01 2.422025e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0797576 rel. change during last iteration : -8.07243e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0998484 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0099697 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 136.427 +/- 8.041 (5.894%) b = 0.19697 +/- 0.1299 (65.93%) c = 2.42202 +/- 0.655 (27.04%) correlation matrix of the fit parameters: a b c a 1.000 b 0.945 1.000 c 0.826 0.911 1.000 ******************************************************************************* Fri Jul 22 23:54:34 2022 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 b c 0 3.1311670000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 7 1.7020431539e-01 -4.87e-02 3.08e-07 1.276585e+02 6.847990e-02 1.740974e+00 After 7 iterations the fit converged. final sum of squares of residuals : 0.170204 rel. change during last iteration : -4.8704e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145861 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 127.658 +/- 25.5 (19.98%) b = 0.0684799 +/- 0.3218 (469.9%) c = 1.74097 +/- 0.9049 (51.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.987 1.000 c 0.936 0.955 1.000 ******************************************************************************* Fri Jul 22 23:55:42 2022 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 b c 0 2.2695430000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 2.2562512999e-01 -6.40e-01 3.08e-06 1.065067e+02 2.747438e-02 1.762402e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.225625 rel. change during last iteration : -6.39841e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0282031 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 106.507 +/- 25.16 (23.62%) b = 0.0274744 +/- 0.3628 (1321%) c = 1.7624 +/- 0.7532 (42.74%) correlation matrix of the fit parameters: a b c a 1.000 b 0.990 1.000 c 0.970 0.953 1.000 ******************************************************************************* Fri Jul 22 23:57:23 2022 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 b c 0 1.9139670000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 2.7549913241e-01 -4.19e-01 3.08e-06 9.088337e+01 -9.465935e-02 1.485478e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.275499 rel. change during last iteration : -4.18559e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.185573 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0344374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 90.8834 +/- 36.06 (39.67%) b = -0.0946594 +/- 0.5399 (570.3%) c = 1.48548 +/- 0.7446 (50.13%) correlation matrix of the fit parameters: a b c a 1.000 b 0.993 1.000 c 0.984 0.968 1.000 ******************************************************************************* Fri Jul 22 23:58:36 2022 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 b c 0 1.7708710000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 2.8874051800e-01 -3.67e-06 3.08e-06 1.075213e+02 1.895771e-01 2.012574e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.288741 rel. change during last iteration : -3.6697e-11 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.18998 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0360926 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 107.521 +/- 20.79 (19.34%) b = 0.189577 +/- 0.3293 (173.7%) c = 2.01257 +/- 0.791 (39.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.984 1.000 c 0.964 0.939 1.000 ******************************************************************************* Sat Jul 23 00:00:02 2022 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 b c 0 1.7146390000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 3.4418086250e-01 -1.98e-01 3.08e-05 1.108307e+02 2.441129e-01 2.295649e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.344181 rel. change during last iteration : -1.9843e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.207419 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0430226 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 110.831 +/- 17.27 (15.58%) b = 0.244113 +/- 0.2924 (119.8%) c = 2.29565 +/- 0.8482 (36.95%) correlation matrix of the fit parameters: a b c a 1.000 b 0.976 1.000 c 0.955 0.920 1.000 ******************************************************************************* Sat Jul 23 10:38:42 2022 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 b c 0 1.8052350000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 3.1842035250e-01 -8.37e-07 3.08e-06 1.063148e+02 1.534180e-01 1.996361e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.31842 rel. change during last iteration : -8.37373e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.199506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0398025 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 106.315 +/- 22 (20.69%) b = 0.153418 +/- 0.3504 (228.4%) c = 1.99636 +/- 0.8166 (40.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.984 1.000 c 0.966 0.940 1.000 ******************************************************************************* Sat Jul 23 10:54:03 2022 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 b c 0 1.7887690000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 3.0311152678e-01 -7.08e-05 3.08e-06 1.011933e+02 8.504385e-02 1.806954e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.303112 rel. change during last iteration : -7.07616e-10 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194651 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378889 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 101.193 +/- 25.92 (25.62%) b = 0.0850438 +/- 0.4032 (474.1%) c = 1.80695 +/- 0.7818 (43.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.988 1.000 c 0.974 0.951 1.000 ******************************************************************************* Sat Jul 23 11:01:32 2022 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 b c 0 1.8468570000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 2.9692686741e-01 -3.36e-06 3.08e-06 1.038245e+02 1.152682e-01 1.829818e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.296927 rel. change during last iteration : -3.35923e-11 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.192655 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0371159 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 103.824 +/- 25.6 (24.65%) b = 0.115268 +/- 0.3907 (338.9%) c = 1.82982 +/- 0.8029 (43.88%) correlation matrix of the fit parameters: a b c a 1.000 b 0.988 1.000 c 0.971 0.950 1.000 ******************************************************************************* Sat Jul 23 11:21:24 2022 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 b c 0 1.8050370000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 2.8565105426e-01 -1.07e-06 3.08e-06 1.105630e+02 2.235663e-01 2.134339e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.285651 rel. change during last iteration : -1.06673e-11 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.188961 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0357064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 110.563 +/- 18.53 (16.76%) b = 0.223566 +/- 0.2982 (133.4%) c = 2.13434 +/- 0.8028 (37.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.981 1.000 c 0.958 0.931 1.000 ******************************************************************************* Fri Sep 30 12:03:25 2022 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 b c 0 1.7973490000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 3.1032926535e-01 -3.61e-05 3.08e-06 1.064817e+02 1.658942e-01 1.964814e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.310329 rel. change during last iteration : -3.61277e-10 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.196955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0387912 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 106.482 +/- 22.6 (21.23%) b = 0.165894 +/- 0.355 (214%) c = 1.96481 +/- 0.8177 (41.62%) correlation matrix of the fit parameters: a b c a 1.000 b 0.985 1.000 c 0.966 0.942 1.000 ******************************************************************************* Fri Sep 30 12:04:46 2022 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 b c 0 4.4087100000e+00 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 28 1.0521673108e+00 -1.51e-02 3.08e-05 5.007181e+01 -2.850488e-02 1.441380e+00 After 28 iterations the fit converged. final sum of squares of residuals : 1.05217 rel. change during last iteration : -1.50607e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.362658 variance of residuals (reduced chisquare) = WSSR/ndf : 0.131521 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.0718 +/- 30.86 (61.64%) b = -0.0285049 +/- 1.113 (3906%) c = 1.44138 +/- 0.6342 (44%) correlation matrix of the fit parameters: a b c a 1.000 b 0.987 1.000 c 0.995 0.970 1.000 ******************************************************************************* Fri Sep 30 12:05:48 2022 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 b c 0 1.7107590000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 5 4.3827914281e-01 -1.04e-02 3.08e-05 1.251920e+02 5.367349e-01 2.344488e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.438279 rel. change during last iteration : -1.0352e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.234062 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0547849 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 125.192 +/- 20.26 (16.18%) b = 0.536735 +/- 0.3196 (59.54%) c = 2.34449 +/- 1.258 (53.68%) correlation matrix of the fit parameters: a b c a 1.000 b 0.973 1.000 c 0.911 0.916 1.000 ******************************************************************************* Fri Sep 30 12:09:06 2022 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 b c 0 1.7701790000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 6 3.1690621589e-01 -8.17e-07 3.08e-06 1.077000e+02 1.930044e-01 2.023749e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.316906 rel. change during last iteration : -8.16676e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.199031 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0396133 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 107.7 +/- 21.54 (20%) b = 0.193004 +/- 0.3419 (177.2%) c = 2.02375 +/- 0.8283 (40.93%) correlation matrix of the fit parameters: a b c a 1.000 b 0.984 1.000 c 0.964 0.938 1.000 ******************************************************************************* Mon Apr 17 16:15:50 2023 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 b c 0 3.9660170000e+01 0.00e+00 3.08e+00 1.000000e+02 1.000000e+00 3.000000e+00 7 2.0763332893e-02 -7.88e-03 3.08e-07 1.590073e+02 -3.446276e-02 9.614934e-01 After 7 iterations the fit converged. final sum of squares of residuals : 0.0207633 rel. change during last iteration : -7.87755e-08 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0509452 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00259542 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 159.007 +/- 49.62 (31.2%) b = -0.0344628 +/- 0.3311 (960.6%) c = 0.961493 +/- 0.5348 (55.62%) correlation matrix of the fit parameters: a b c a 1.000 b 0.993 1.000 c 0.965 0.987 1.000