******************************************************************************* Thu May 11 10:43:31 2017 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 b a 0 1.6551609378e+09 0.00e+00 1.88e+04 7.000000e-01 2.000000e+01 13 3.1211611207e-02 -3.54e-04 1.88e-09 1.334430e-01 2.104258e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.0312116 rel. change during last iteration : -3.54372e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0405304 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00164272 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.133443 +/- 0.02189 (16.41%) a = 210.426 +/- 0.2017 (0.09585%) correlation matrix of the fit parameters: b a b 1.000 a 0.915 1.000 ******************************************************************************* Thu May 11 10:46:37 2017 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 b a 0 1.6545492784e+09 0.00e+00 1.88e+04 7.000000e-01 2.000000e+01 13 3.3180576397e-02 -1.39e-05 1.88e-09 1.203001e-01 1.971121e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.0331806 rel. change during last iteration : -1.38601e-10 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0417893 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00174635 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.1203 +/- 0.02257 (18.76%) a = 197.112 +/- 0.1601 (0.08123%) correlation matrix of the fit parameters: b a b 1.000 a 0.915 1.000 ******************************************************************************* Thu May 11 10:55:02 2017 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 0 4.4595462589e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 6.7828129254e-03 -7.21e-05 4.27e-10 1.733093e-01 2.120548e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00678281 rel. change during last iteration : -7.20694e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274526 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000753646 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.173309 +/- 0.02343 (13.52%) a = 212.055 +/- 0.9816 (0.4629%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 10:55:17 2017 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 0 4.4637213620e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 2.4189151389e-03 -1.63e-05 4.27e-11 1.637282e-01 2.771730e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00241892 rel. change during last iteration : -1.62521e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0163942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000268768 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.163728 +/- 0.01399 (8.545%) a = 277.173 +/- 1.711 (0.6173%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 10:58:13 2017 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 0 4.4595423347e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 1.1677311103e-03 -3.97e-04 4.27e-10 1.666701e-01 2.117588e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00116773 rel. change during last iteration : -3.97319e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0113907 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000129748 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.16667 +/- 0.00972 (5.832%) a = 211.759 +/- 0.405 (0.1913%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 11:01:04 2017 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 0 4.4637403072e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 1.9901248889e-03 -2.54e-05 4.27e-11 1.739189e-01 2.788793e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00199012 rel. change during last iteration : -2.53918e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0148703 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000221125 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.173919 +/- 0.01269 (7.296%) a = 278.879 +/- 1.591 (0.5704%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 11:05:44 2017 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 0 4.4595522076e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 2.9763725243e-03 -1.78e-04 4.27e-10 1.833757e-01 2.125067e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00297637 rel. change during last iteration : -1.77684e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0181854 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000330708 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.183376 +/- 0.01552 (8.463%) a = 212.507 +/- 0.6558 (0.3086%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 11:06:23 2017 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 0 4.4637490321e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 8.4173928489e-04 -7.96e-05 4.27e-11 1.886755e-01 2.808810e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.000841739 rel. change during last iteration : -7.95533e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00967091 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35266e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.188675 +/- 0.008253 (4.374%) a = 280.881 +/- 1.064 (0.379%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 11:14:08 2017 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 0 4.4638959691e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 9.8591174292e-04 -1.08e-04 4.27e-11 1.822536e-01 2.844651e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.000985912 rel. change during last iteration : -1.08075e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0104664 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000109546 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.182254 +/- 0.008932 (4.901%) a = 284.465 +/- 1.212 (0.4261%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 11:14:49 2017 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 0 4.4637380466e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 1.0766443622e-03 -6.29e-05 4.27e-11 1.919472e-01 2.809559e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00107664 rel. change during last iteration : -6.28629e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0109374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000119627 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.191947 +/- 0.009333 (4.863%) a = 280.956 +/- 1.205 (0.429%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 11:15:46 2017 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 0 4.4638929901e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 8.1662588286e-04 -1.50e-04 4.27e-11 1.917830e-01 2.855903e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.000816626 rel. change during last iteration : -1.49836e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00952556 variance of residuals (reduced chisquare) = WSSR/ndf : 9.07362e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.191783 +/- 0.008129 (4.238%) a = 285.59 +/- 1.121 (0.3924%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 11:16:55 2017 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 0 4.4638504413e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 4.0221091455e-03 -1.45e-05 4.27e-11 1.562399e-01 2.799269e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00402211 rel. change during last iteration : -1.45317e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02114 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000446901 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.15624 +/- 0.01804 (11.55%) a = 279.927 +/- 2.295 (0.82%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 11:17:59 2017 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 0 4.4639213814e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 3.8736357961e-03 -2.67e-05 4.27e-11 1.742453e-01 2.842274e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00387364 rel. change during last iteration : -2.66789e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0207462 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000430404 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.174245 +/- 0.0177 (10.16%) a = 284.227 +/- 2.394 (0.8424%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Mon May 15 14:03:16 2017 FIT: data read from "out.jacobi.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 1.9811590022e+05 0.00e+00 4.25e+02 7.000000e-01 2.000000e+01 10 2.7522875883e-03 -7.01e-05 4.25e-08 1.374355e-01 8.732570e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.00275229 rel. change during last iteration : -7.01273e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0302891 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000917429 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.137435 +/- 0.03963 (28.83%) a = 87.3257 +/- 0.4788 (0.5483%) correlation matrix of the fit parameters: b a b 1.000 a 0.940 1.000 ******************************************************************************* Mon May 15 14:03:43 2017 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 0 4.4594835563e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 2.8163005438e-03 -1.68e-04 4.27e-10 1.837522e-01 2.118717e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.0028163 rel. change during last iteration : -1.68404e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0176896 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000312922 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.183752 +/- 0.0151 (8.215%) a = 211.872 +/- 0.6304 (0.2975%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Mon May 15 14:03:57 2017 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 0 4.4638798136e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 2.2559784793e-03 -5.74e-05 4.27e-11 1.986330e-01 2.860644e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00225598 rel. change during last iteration : -5.74405e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0158324 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000250664 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.198633 +/- 0.01351 (6.802%) a = 286.064 +/- 1.875 (0.6554%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Mon May 15 14:04:30 2017 FIT: data read from "out.jacobi.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 1.9878894043e+05 0.00e+00 4.25e+02 7.000000e-01 2.000000e+01 10 2.7143649204e-03 -4.47e-04 4.25e-08 1.501405e-01 9.200308e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.00271436 rel. change during last iteration : -4.47197e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0300797 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000904788 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.15014 +/- 0.03935 (26.21%) a = 92.0031 +/- 0.5858 (0.6368%) correlation matrix of the fit parameters: b a b 1.000 a 0.940 1.000 ******************************************************************************* Mon May 15 14:04:55 2017 FIT: data read from "out.jacobi.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 1.9807289412e+05 0.00e+00 4.25e+02 7.000000e-01 2.000000e+01 10 2.1449673776e-03 -7.82e-05 4.25e-08 1.348225e-01 8.703746e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.00214497 rel. change during last iteration : -7.81629e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0267393 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000714989 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.134823 +/- 0.03498 (25.95%) a = 87.0375 +/- 0.4171 (0.4793%) correlation matrix of the fit parameters: b a b 1.000 a 0.940 1.000 ******************************************************************************* Mon May 15 17:03:44 2017 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 0 4.4631329872e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 1.4396306683e-03 -6.08e-01 4.27e-10 1.737439e-01 2.635648e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00143963 rel. change during last iteration : -6.07743e-06 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0126475 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000159959 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.173744 +/- 0.01079 (6.212%) a = 263.565 +/- 1.079 (0.4095%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Mon May 15 17:05:43 2017 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 0 4.4594981736e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 7.9253289973e-04 -5.95e-04 4.27e-10 1.793511e-01 2.118377e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000792533 rel. change during last iteration : -5.94554e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00938399 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80592e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.179351 +/- 0.008008 (4.465%) a = 211.838 +/- 0.3342 (0.1578%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Mon May 15 17:07:06 2017 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 0 4.4630564704e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 2.5295625310e-03 -2.85e-01 4.27e-10 1.827145e-01 2.626850e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00252956 rel. change during last iteration : -2.84945e-06 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0167649 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000281063 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.182714 +/- 0.01431 (7.83%) a = 262.685 +/- 1.412 (0.5374%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Mon May 15 17:55:45 2017 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 0 4.4612309899e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 4.8652964742e-03 -8.12e-04 4.27e-10 2.194901e-01 2.334537e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.0048653 rel. change during last iteration : -8.12022e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0232506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000540588 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.21949 +/- 0.01984 (9.04%) a = 233.454 +/- 1.221 (0.5231%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Mon May 15 17:56:23 2017 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 0 4.4580328888e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 1.9526207322e-03 -1.59e-05 4.27e-10 1.689515e-01 1.992994e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00195262 rel. change during last iteration : -1.5875e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0147295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000216958 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.168952 +/- 0.01257 (7.44%) a = 199.299 +/- 0.4109 (0.2062%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Mon May 15 17:58:03 2017 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 0 4.4594847834e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 6.5529220178e-03 -5.71e-05 4.27e-10 1.494084e-01 2.105607e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00655292 rel. change during last iteration : -5.70664e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0269834 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000728102 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.149408 +/- 0.02303 (15.41%) a = 210.561 +/- 0.938 (0.4455%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Wed Apr 11 17:47:48 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 0 4.4613644938e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 3.1983900639e-03 -1.08e-03 4.27e-10 9.572195e-02 2.284172e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00319839 rel. change during last iteration : -1.08209e-08 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0188514 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000355377 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.095722 +/- 0.01609 (16.81%) a = 228.417 +/- 0.9075 (0.3973%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Wed Apr 11 17:48:09 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 0 4.4597564680e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 1.4143895427e-03 -2.77e-04 4.27e-10 9.196805e-02 2.108703e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00141439 rel. change during last iteration : -2.77332e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0125361 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000157154 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.091968 +/- 0.0107 (11.63%) a = 210.87 +/- 0.4383 (0.2079%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Wed Apr 11 18:06:44 2018 FIT: data read from "out.jacobi.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 1.9965722021e+05 0.00e+00 4.25e+02 7.000000e-01 2.000000e+01 10 2.2825612647e-04 -1.28e-02 4.25e-08 1.225566e-01 9.903174e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.000228256 rel. change during last iteration : -1.28035e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00872269 variance of residuals (reduced chisquare) = WSSR/ndf : 7.60854e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.122557 +/- 0.01141 (9.312%) a = 99.0317 +/- 0.2281 (0.2303%) correlation matrix of the fit parameters: b a b 1.000 a 0.940 1.000 ******************************************************************************* Wed Apr 11 18:07:05 2018 FIT: data read from "out.jacobi.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 1.9880907209e+05 0.00e+00 4.25e+02 7.000000e-01 2.000000e+01 10 4.6810985180e-03 -1.88e-04 4.25e-08 7.708104e-02 9.114875e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0046811 rel. change during last iteration : -1.87944e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0395015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00156037 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.077081 +/- 0.05168 (67.05%) a = 91.1487 +/- 0.7412 (0.8131%) correlation matrix of the fit parameters: b a b 1.000 a 0.940 1.000 ******************************************************************************* Thu Apr 19 16:23:05 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 0 4.4642236917e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 3.6604162515e-03 -1.78e-05 4.27e-11 7.367913e-02 2.808189e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00366042 rel. change during last iteration : -1.7845e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0201671 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000406713 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0736791 +/- 0.01721 (23.36%) a = 280.819 +/- 2.218 (0.7898%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu Apr 19 16:24:16 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 0 4.4597519565e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 13 3.4996718649e-03 -1.00e-04 4.27e-10 7.704943e-02 2.102615e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00349967 rel. change during last iteration : -1.00115e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0197193 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000388852 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0770494 +/- 0.01683 (21.84%) a = 210.261 +/- 0.6816 (0.3242%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu Apr 19 16:27:21 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 0 4.4642151153e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 2.5852755201e-03 -2.16e-05 4.27e-11 6.645829e-02 2.797100e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00258528 rel. change during last iteration : -2.16476e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0169485 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000287253 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0664583 +/- 0.01446 (21.76%) a = 279.71 +/- 1.835 (0.6559%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu Apr 19 16:28:18 2018 FIT: data read from "out.jacobi.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 1.9882314710e+05 0.00e+00 4.25e+02 7.000000e-01 2.000000e+01 10 8.0101479342e-04 -9.76e-04 4.25e-08 4.819570e-02 9.086292e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.000801015 rel. change during last iteration : -9.76218e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0163403 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000267005 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0481957 +/- 0.02138 (44.36%) a = 90.8629 +/- 0.3028 (0.3332%) correlation matrix of the fit parameters: b a b 1.000 a 0.940 1.000