******************************************************************************* Mon Apr 17 15:55:31 2017 FIT: data read from "times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 4.8151687000e+03 0.00e+00 3.13e+01 1.000000e+00 4 1.1927987730e-01 -1.79e-07 3.13e-03 7.693252e-03 After 4 iterations the fit converged. final sum of squares of residuals : 0.11928 rel. change during last iteration : -1.78696e-12 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.172685 variance of residuals (reduced chisquare) = WSSR/ndf : 0.02982 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00769325 +/- 0.002469 (32.1%) ******************************************************************************* Mon Apr 17 15:56:15 2017 FIT: data read from "times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 4.8151216000e+03 0.00e+00 3.13e+01 1.000000e+00 4 1.3171809816e-01 -1.62e-07 3.13e-03 7.699387e-03 After 4 iterations the fit converged. final sum of squares of residuals : 0.131718 rel. change during last iteration : -1.61812e-12 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.181465 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0329295 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00769939 +/- 0.002595 (33.7%) ******************************************************************************* Mon Apr 17 15:56:54 2017 FIT: data read from "times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 4.8153238000e+03 0.00e+00 3.13e+01 1.000000e+00 4 1.1560948875e-01 -1.84e-07 3.13e-03 7.676892e-03 After 4 iterations the fit converged. final sum of squares of residuals : 0.115609 rel. change during last iteration : -1.8437e-12 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.170007 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0289024 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00767689 +/- 0.002431 (31.67%) ******************************************************************************* Mon Apr 17 15:58:43 2017 FIT: data read from "times.txt" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+a*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 4.3614000000e+01 0.00e+00 2.21e+00 1.000000e-01 1.000000e-01 5 4.3670242215e-03 -1.78e-06 2.21e-05 1.949896e-01 3.650519e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00436702 rel. change during last iteration : -1.78214e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0381533 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00145567 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.19499 +/- 0.02219 (11.38%) a = 0.00365052 +/- 0.0007097 (19.44%) correlation matrix of the fit parameters: b a b 1.000 a -0.640 1.000 ******************************************************************************* Mon Apr 17 15:59:45 2017 FIT: data read from "times.txt" format = z BREAK: bad data on line 1 of datafile ******************************************************************************* Mon Apr 17 16:00:19 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+a*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 2.9542485334e+09 0.00e+00 1.45e+04 1.000000e-01 1.000000e-01 9 3.6109266919e-04 -6.64e-06 1.45e-05 -5.098560e-03 1.207452e-06 After 9 iterations the fit converged. final sum of squares of residuals : 0.000361093 rel. change during last iteration : -6.64162e-11 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00849815 variance of residuals (reduced chisquare) = WSSR/ndf : 7.22185e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.00509856 +/- 0.00705 (138.3%) a = 1.20745e-06 +/- 3.432e-08 (2.842%) correlation matrix of the fit parameters: b a b 1.000 a -0.890 1.000 ******************************************************************************* Mon Apr 17 16:04:14 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 2.9495588858e+05 0.00e+00 4.35e+02 1.000000e-01 1.000000e+01 12 3.8970946389e-04 -5.93e-05 4.35e-10 -1.431939e-02 9.169821e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.000389709 rel. change during last iteration : -5.92746e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00882847 variance of residuals (reduced chisquare) = WSSR/ndf : 7.79419e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0143194 +/- 0.007324 (51.15%) a = 91.6982 +/- 0.8419 (0.9181%) correlation matrix of the fit parameters: b a b 1.000 a 0.890 1.000 ******************************************************************************* Mon Apr 17 16:06:06 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 2.9497827148e+05 0.00e+00 4.35e+02 1.000000e-01 1.000000e+01 12 2.2384607198e-04 -2.46e-03 4.35e-10 -8.444904e-03 9.324229e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.000223846 rel. change during last iteration : -2.45886e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00669098 variance of residuals (reduced chisquare) = WSSR/ndf : 4.47692e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0084449 +/- 0.005551 (65.73%) a = 93.2423 +/- 0.6821 (0.7316%) correlation matrix of the fit parameters: b a b 1.000 a 0.890 1.000 ******************************************************************************* Mon Apr 17 16:07:03 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 2.9498330298e+05 0.00e+00 4.35e+02 1.000000e-01 1.000000e+01 12 3.3446962544e-04 -5.48e-03 4.35e-10 -9.340097e-04 9.430070e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.00033447 rel. change during last iteration : -5.48068e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00817887 variance of residuals (reduced chisquare) = WSSR/ndf : 6.68939e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.00093401 +/- 0.006785 (726.4%) a = 94.3007 +/- 0.8723 (0.925%) correlation matrix of the fit parameters: b a b 1.000 a 0.890 1.000 ******************************************************************************* Mon Apr 17 16:07:24 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 2.9496569348e+05 0.00e+00 4.35e+02 1.000000e-01 1.000000e+01 12 8.6051376700e-04 -1.08e-04 4.35e-10 -1.345277e-02 9.218320e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.000860514 rel. change during last iteration : -1.07622e-09 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0131188 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000172103 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0134528 +/- 0.01088 (80.9%) a = 92.1832 +/- 1.278 (1.386%) correlation matrix of the fit parameters: b a b 1.000 a 0.890 1.000 ******************************************************************************* Mon Apr 17 16:08:01 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.9087711267e+05 0.00e+00 5.01e+02 1.000000e-01 1.000000e+01 12 1.9940349049e-04 -7.06e-03 5.01e-10 -6.317556e-03 9.376997e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.000199403 rel. change during last iteration : -7.05935e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00631512 variance of residuals (reduced chisquare) = WSSR/ndf : 3.98807e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.00631756 +/- 0.00544 (86.1%) a = 93.77 +/- 0.594 (0.6334%) correlation matrix of the fit parameters: b a b 1.000 a 0.899 1.000 ******************************************************************************* Wed Apr 26 00:35:33 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.9087090383e+05 0.00e+00 5.01e+02 1.000000e-01 1.000000e+01 12 2.6158488918e-04 -3.65e-03 5.01e-10 -7.657561e-03 9.343661e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.000261585 rel. change during last iteration : -3.64731e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00723305 variance of residuals (reduced chisquare) = WSSR/ndf : 5.2317e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.00765756 +/- 0.00623 (81.36%) a = 93.4366 +/- 0.6707 (0.7178%) correlation matrix of the fit parameters: b a b 1.000 a 0.899 1.000 ******************************************************************************* Wed Apr 26 00:37:05 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.9087834239e+05 0.00e+00 5.01e+02 1.000000e-01 1.000000e+01 12 1.1774915989e-03 -6.09e-03 5.01e-10 1.026138e-02 9.549562e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.00117749 rel. change during last iteration : -6.08842e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015346 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000235498 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0102614 +/- 0.01322 (128.8%) a = 95.4956 +/- 1.553 (1.626%) correlation matrix of the fit parameters: b a b 1.000 a 0.899 1.000 ******************************************************************************* Wed Apr 26 00:37:42 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.9090003959e+05 0.00e+00 5.01e+02 1.000000e-01 1.000000e+01 12 7.9521580041e-05 -9.52e-02 5.01e-10 3.770745e-03 9.558085e+01 After 12 iterations the fit converged. final sum of squares of residuals : 7.95216e-05 rel. change during last iteration : -9.51708e-07 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00398802 variance of residuals (reduced chisquare) = WSSR/ndf : 1.59043e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00377075 +/- 0.003435 (91.1%) a = 95.5808 +/- 0.4049 (0.4236%) correlation matrix of the fit parameters: b a b 1.000 a 0.899 1.000 ******************************************************************************* Wed Apr 26 00:39:39 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.9085766745e+05 0.00e+00 5.01e+02 1.000000e-01 1.000000e+01 12 3.9477588166e-04 -7.91e-04 5.01e-10 -1.149329e-02 9.264989e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.000394776 rel. change during last iteration : -7.91093e-09 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00888567 variance of residuals (reduced chisquare) = WSSR/ndf : 7.89552e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0114933 +/- 0.007654 (66.59%) a = 92.6499 +/- 0.7965 (0.8597%) correlation matrix of the fit parameters: b a b 1.000 a 0.899 1.000 ******************************************************************************* Wed Apr 26 00:40:19 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.9088005263e+05 0.00e+00 5.01e+02 1.000000e-01 1.000000e+01 12 1.4107632001e-03 -3.45e-03 5.01e-10 5.252313e-03 9.503308e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.00141076 rel. change during last iteration : -3.44652e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0167974 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000282153 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00525231 +/- 0.01447 (275.5%) a = 95.0331 +/- 1.667 (1.754%) correlation matrix of the fit parameters: b a b 1.000 a 0.899 1.000 ******************************************************************************* Wed Apr 26 00:40:38 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.9089226635e+05 0.00e+00 5.01e+02 1.000000e-01 1.000000e+01 12 1.3832336296e-04 -3.21e-02 5.01e-10 2.233216e-04 9.493817e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.000138323 rel. change during last iteration : -3.20679e-07 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525972 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76647e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.000223322 +/- 0.004531 (2029%) a = 94.9382 +/- 0.5198 (0.5475%) correlation matrix of the fit parameters: b a b 1.000 a 0.899 1.000 ******************************************************************************* Wed Apr 26 00:49:20 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.9130354107e+05 0.00e+00 5.01e+02 1.000000e-01 1.000000e+01 13 4.3270824239e-05 -8.26e-04 5.01e-11 1.524199e-03 1.161506e+02 After 13 iterations the fit converged. final sum of squares of residuals : 4.32708e-05 rel. change during last iteration : -8.26054e-09 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029418 variance of residuals (reduced chisquare) = WSSR/ndf : 8.65416e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0015242 +/- 0.002534 (166.3%) a = 116.151 +/- 0.6513 (0.5608%) correlation matrix of the fit parameters: b a b 1.000 a 0.899 1.000 ******************************************************************************* Wed Apr 26 00:50:28 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9743644173e+06 0.00e+00 1.12e+03 1.000000e-01 1.000000e+01 13 4.6917341011e-04 -3.26e-04 1.12e-10 -1.925427e-02 1.131714e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000469173 rel. change during last iteration : -3.26036e-09 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00968683 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38347e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0192543 +/- 0.01049 (54.5%) a = 113.171 +/- 1.082 (0.9561%) correlation matrix of the fit parameters: b a b 1.000 a 0.937 1.000 ******************************************************************************* Wed Apr 26 00:51:20 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9747310616e+06 0.00e+00 1.12e+03 1.000000e-01 1.000000e+01 13 9.7196683261e-04 -8.74e-05 1.12e-10 -1.517234e-02 1.192357e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000971967 rel. change during last iteration : -8.73728e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000194393 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0151723 +/- 0.0151 (99.55%) a = 119.236 +/- 1.919 (1.609%) correlation matrix of the fit parameters: b a b 1.000 a 0.937 1.000 ******************************************************************************* Wed Apr 26 00:51:57 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9747580610e+06 0.00e+00 1.12e+03 1.000000e-01 1.000000e+01 13 1.5865300772e-03 -3.05e-06 1.12e-10 1.048241e-03 1.217241e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00158653 rel. change during last iteration : -3.04943e-11 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0178131 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000317306 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00104824 +/- 0.0193 (1841%) a = 121.724 +/- 2.663 (2.188%) correlation matrix of the fit parameters: b a b 1.000 a 0.937 1.000 ******************************************************************************* Wed Apr 26 00:53:53 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9747471413e+06 0.00e+00 1.12e+03 1.000000e-01 1.000000e+01 13 6.0507277969e-04 -6.53e-05 1.12e-10 -1.025858e-02 1.201064e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000605073 rel. change during last iteration : -6.52517e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0110007 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000121015 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0102586 +/- 0.01192 (116.2%) a = 120.106 +/- 1.559 (1.298%) correlation matrix of the fit parameters: b a b 1.000 a 0.937 1.000 ******************************************************************************* Wed Apr 26 00:54:56 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9747521415e+06 0.00e+00 1.12e+03 1.000000e-01 1.000000e+01 13 5.4644596399e-04 -1.40e-04 1.12e-10 -1.681858e-02 1.194000e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000546446 rel. change during last iteration : -1.40137e-09 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0104541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000109289 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0168186 +/- 0.01133 (67.34%) a = 119.4 +/- 1.447 (1.212%) correlation matrix of the fit parameters: b a b 1.000 a 0.937 1.000 ******************************************************************************* Wed Apr 26 00:55:22 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9747682213e+06 0.00e+00 1.12e+03 1.000000e-01 1.000000e+01 13 3.0750696019e-04 -1.03e-04 1.12e-10 -1.190482e-02 1.202756e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000307507 rel. change during last iteration : -1.02615e-09 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00784228 variance of residuals (reduced chisquare) = WSSR/ndf : 6.15014e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0119048 +/- 0.008496 (71.36%) a = 120.276 +/- 1.118 (0.9292%) correlation matrix of the fit parameters: b a b 1.000 a 0.937 1.000 ******************************************************************************* Wed Apr 26 01:00:20 2017 FIT: data read from "times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.9757667573e+06 0.00e+00 1.12e+03 1.000000e-01 1.000000e+01 14 2.3989597824e-03 -9.63e-06 1.12e-11 7.866763e-04 1.494376e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00239896 rel. change during last iteration : -9.62582e-11 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0219042 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000479792 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.000786676 +/- 0.02373 (3016%) a = 149.438 +/- 7.439 (4.978%) correlation matrix of the fit parameters: b a b 1.000 a 0.937 1.000 ******************************************************************************* Wed Apr 26 01:01:30 2017 FIT: data read from "times.txt" format = z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 3.0406582486e+06 0.00e+00 1.11e+03 1.000000e-01 1.000000e+01 14 1.6703293242e-03 -1.46e-05 1.11e-11 -6.248418e-03 1.480872e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00167033 rel. change during last iteration : -1.45691e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000185592 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.00624842 +/- 0.0123 (196.8%) a = 148.087 +/- 3.756 (2.536%) correlation matrix of the fit parameters: b a b 1.000 a 0.943 1.000 ******************************************************************************* Wed Apr 26 01:02:02 2017 FIT: data read from "times.txt" format = z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 4.3762210905e+06 0.00e+00 1.11e+03 1.000000e-01 1.000000e+01 14 9.0852631810e-04 -3.61e-05 1.11e-11 -5.817332e-03 1.483506e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.000908526 rel. change during last iteration : -3.61057e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00805573 variance of residuals (reduced chisquare) = WSSR/ndf : 6.48947e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.00581733 +/- 0.006175 (106.1%) a = 148.351 +/- 1.91 (1.287%) correlation matrix of the fit parameters: b a b 1.000 a 0.945 1.000 ******************************************************************************* Wed Apr 26 01:02:43 2017 FIT: data read from "times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7142016857e+07 0.00e+00 1.91e+03 1.000000e-01 1.000000e+01 14 1.3530027622e-03 -1.68e-04 1.91e-11 4.874540e-03 1.529847e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.001353 rel. change during last iteration : -1.68453e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00843864 variance of residuals (reduced chisquare) = WSSR/ndf : 7.12107e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00487454 +/- 0.005208 (106.8%) a = 152.985 +/- 1.054 (0.6892%) correlation matrix of the fit parameters: b a b 1.000 a 0.935 1.000 ******************************************************************************* Wed Apr 26 13:40:52 2017 FIT: data read from "times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7099683643e+07 0.00e+00 1.91e+03 1.000000e-01 1.000000e+01 12 1.5208617147e-02 -5.20e-04 1.91e-09 -1.338413e-02 8.671703e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.0152086 rel. change during last iteration : -5.19946e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0282923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000800454 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0133841 +/- 0.01746 (130.5%) a = 86.717 +/- 0.365 (0.4209%) correlation matrix of the fit parameters: b a b 1.000 a 0.935 1.000 ******************************************************************************* Wed Apr 26 13:41:45 2017 FIT: data read from "times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7142003333e+07 0.00e+00 1.91e+03 1.000000e-01 1.000000e+01 14 1.1138332542e-03 -2.19e-04 1.91e-11 9.826280e-03 1.538585e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00111383 rel. change during last iteration : -2.19061e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00765655 variance of residuals (reduced chisquare) = WSSR/ndf : 5.86228e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00982628 +/- 0.004725 (48.09%) a = 153.858 +/- 0.9787 (0.6361%) correlation matrix of the fit parameters: b a b 1.000 a 0.935 1.000 ******************************************************************************* Wed Apr 26 16:30:05 2017 FIT: data read from "times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7141887693e+07 0.00e+00 1.91e+03 1.000000e-01 1.000000e+01 14 3.2423626101e-03 -6.74e-05 1.91e-11 6.068955e-03 1.525254e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00324236 rel. change during last iteration : -6.73846e-10 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0130633 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000170651 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00606895 +/- 0.008062 (132.8%) a = 152.525 +/- 1.613 (1.057%) correlation matrix of the fit parameters: b a b 1.000 a 0.935 1.000 ******************************************************************************* Wed Apr 26 17:43:19 2017 FIT: data read from "times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7142031819e+07 0.00e+00 1.91e+03 1.000000e-01 1.000000e+01 14 2.2124459675e-03 -1.14e-04 1.91e-11 1.163406e-02 1.543665e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00221245 rel. change during last iteration : -1.13685e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0107909 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000116445 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0116341 +/- 0.00666 (57.24%) a = 154.367 +/- 1.398 (0.9055%) correlation matrix of the fit parameters: b a b 1.000 a 0.935 1.000 ******************************************************************************* Tue May 16 15:40:19 2017 FIT: data read from "times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7141973806e+07 0.00e+00 1.91e+03 1.000000e-01 1.000000e+01 14 1.6443607164e-03 -1.24e-04 1.91e-11 1.944105e-04 1.518868e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00164436 rel. change during last iteration : -1.2413e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00930297 variance of residuals (reduced chisquare) = WSSR/ndf : 8.65453e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.000194411 +/- 0.005741 (2953%) a = 151.887 +/- 1.129 (0.7436%) correlation matrix of the fit parameters: b a b 1.000 a 0.935 1.000 ******************************************************************************* Tue May 16 15:41:19 2017 FIT: data read from "times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7095200676e+07 0.00e+00 1.91e+03 1.000000e-01 1.000000e+01 12 1.8723112388e-02 -2.78e-04 1.91e-09 -1.098229e-02 8.442331e+01 After 12 iterations the fit converged. final sum of squares of residuals : 0.0187231 rel. change during last iteration : -2.77867e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0313915 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000985427 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0109823 +/- 0.01937 (176.4%) a = 84.4233 +/- 0.3638 (0.4309%) correlation matrix of the fit parameters: b a b 1.000 a 0.935 1.000 ******************************************************************************* Tue Apr 3 19:05:15 2018 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)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.7142608018e+07 0.00e+00 1.91e+03 1.000000e-01 1.000000e+01 14 4.0343652985e-03 -6.43e-05 1.91e-11 -4.513275e-04 1.551878e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00403437 rel. change during last iteration : -6.43474e-10 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145717 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000212335 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.000451328 +/- 0.008993 (1993%) a = 155.188 +/- 1.928 (1.242%) correlation matrix of the fit parameters: b a b 1.000 a 0.935 1.000 ******************************************************************************* Mon Apr 16 16:03:45 2018 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 c 0 9.0766718306e+00 0.00e+00 1.92e+00 1.000000e+02 3.000000e+00 6 2.8010516664e-03 -5.07e-04 1.92e-06 1.559613e+02 2.923476e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00280105 rel. change during last iteration : -5.07154e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0121418 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000147424 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 155.961 +/- 2.436 (1.562%) c = 2.92348 +/- 0.1009 (3.453%) correlation matrix of the fit parameters: a c a 1.000 c -0.972 1.000 ******************************************************************************* Mon Apr 16 16:04:49 2018 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 c 0 6.7737823985e+01 0.00e+00 5.58e+00 1.000000e+02 3.000000e+00 5 6.1787061759e-03 -3.00e-01 5.58e-05 1.518280e+02 3.197760e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00617871 rel. change during last iteration : -2.99546e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0180332 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000325195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 151.828 +/- 0.3944 (0.2598%) c = 3.19776 +/- 0.06954 (2.175%) correlation matrix of the fit parameters: a c a 1.000 c -0.736 1.000