******************************************************************************* Sun Mar 22 17:43:02 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b*x +c*x**2+d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 1.1370325992e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.4556245563e+03 -3.39e-06 1.78e-04 1.166698e+01 3.936478e-02 -8.175853e-04 7.266914e-06 -2.438251e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2455.62 rel. change during last iteration : -3.38533e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.592456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.351004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.667 +/- 0.8774 (7.521%) b = 0.0393648 +/- 0.061 (155%) c = -0.000817585 +/- 0.001519 (185.8%) d = 7.26691e-06 +/- 1.613e-05 (222%) e = -2.43825e-08 +/- 6.189e-08 (253.8%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.996 1.000 c 0.986 -0.997 1.000 d -0.972 0.988 -0.997 1.000 e 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:44:07 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b*x +c*x**2+d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 1.1370325992e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.4556245563e+03 -3.39e-06 1.78e-04 1.166698e+01 3.936478e-02 -8.175853e-04 7.266914e-06 -2.438251e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2455.62 rel. change during last iteration : -3.38533e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.592456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.351004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.667 +/- 0.8774 (7.521%) b = 0.0393648 +/- 0.061 (155%) c = -0.000817585 +/- 0.001519 (185.8%) d = 7.26691e-06 +/- 1.613e-05 (222%) e = -2.43825e-08 +/- 6.189e-08 (253.8%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.996 1.000 c 0.986 -0.997 1.000 d -0.972 0.988 -0.997 1.000 e 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:44:40 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b*x +c*x**2+d*x**3 +e*x**4 fitted parameters initialized with current variable values ******************************************************************************* Sun Mar 22 17:45:46 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b*x +c*x**2+d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 1.1370325992e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.4556245563e+03 -3.39e-06 1.78e-04 1.166698e+01 3.936478e-02 -8.175853e-04 7.266914e-06 -2.438251e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2455.62 rel. change during last iteration : -3.38533e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.592456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.351004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.667 +/- 0.8774 (7.521%) b = 0.0393648 +/- 0.061 (155%) c = -0.000817585 +/- 0.001519 (185.8%) d = 7.26691e-06 +/- 1.613e-05 (222%) e = -2.43825e-08 +/- 6.189e-08 (253.8%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.996 1.000 c 0.986 -0.997 1.000 d -0.972 0.988 -0.997 1.000 e 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:45:48 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a1 + b1*x +c1*x**2+d1*x**3 +e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1370325992e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.4556245563e+03 -3.39e-06 1.78e-04 1.166698e+01 3.936478e-02 -8.175853e-04 7.266914e-06 -2.438251e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2455.62 rel. change during last iteration : -3.38533e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.592456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.351004 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 11.667 +/- 0.8774 (7.521%) b1 = 0.0393648 +/- 0.061 (155%) c1 = -0.000817585 +/- 0.001519 (185.8%) d1 = 7.26691e-06 +/- 1.613e-05 (222%) e1 = -2.43825e-08 +/- 6.189e-08 (253.8%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.996 1.000 c1 0.986 -0.997 1.000 d1 -0.972 0.988 -0.997 1.000 e1 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:47:07 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b*x +c*x**2+d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 1.1370325992e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.4556245563e+03 -3.39e-06 1.78e-04 1.166698e+01 3.936478e-02 -8.175853e-04 7.266914e-06 -2.438251e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2455.62 rel. change during last iteration : -3.38533e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.592456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.351004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.667 +/- 0.8774 (7.521%) b = 0.0393648 +/- 0.061 (155%) c = -0.000817585 +/- 0.001519 (185.8%) d = 7.26691e-06 +/- 1.613e-05 (222%) e = -2.43825e-08 +/- 6.189e-08 (253.8%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.996 1.000 c 0.986 -0.997 1.000 d -0.972 0.988 -0.997 1.000 e 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:47:10 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a1 + b1*x +c1*x**2+d1*x**3 +e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1370325992e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.4556245563e+03 -3.39e-06 1.78e-04 1.166698e+01 3.936478e-02 -8.175853e-04 7.266914e-06 -2.438251e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2455.62 rel. change during last iteration : -3.38533e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.592456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.351004 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 11.667 +/- 0.8774 (7.521%) b1 = 0.0393648 +/- 0.061 (155%) c1 = -0.000817585 +/- 0.001519 (185.8%) d1 = 7.26691e-06 +/- 1.613e-05 (222%) e1 = -2.43825e-08 +/- 6.189e-08 (253.8%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.996 1.000 c1 0.986 -0.997 1.000 d1 -0.972 0.988 -0.997 1.000 e1 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:48:48 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b*x +c*x**2+d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 1.1370325992e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.4556245563e+03 -3.39e-06 1.78e-04 1.166698e+01 3.936478e-02 -8.175853e-04 7.266914e-06 -2.438251e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2455.62 rel. change during last iteration : -3.38533e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.592456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.351004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.667 +/- 0.8774 (7.521%) b = 0.0393648 +/- 0.061 (155%) c = -0.000817585 +/- 0.001519 (185.8%) d = 7.26691e-06 +/- 1.613e-05 (222%) e = -2.43825e-08 +/- 6.189e-08 (253.8%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.996 1.000 c 0.986 -0.997 1.000 d -0.972 0.988 -0.997 1.000 e 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:48:50 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a1 + b1*x +c1*x**2+d1*x**3 +e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1370325992e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.4556245563e+03 -3.39e-06 1.78e-04 1.166698e+01 3.936478e-02 -8.175853e-04 7.266914e-06 -2.438251e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2455.62 rel. change during last iteration : -3.38533e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.592456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.351004 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 11.667 +/- 0.8774 (7.521%) b1 = 0.0393648 +/- 0.061 (155%) c1 = -0.000817585 +/- 0.001519 (185.8%) d1 = 7.26691e-06 +/- 1.613e-05 (222%) e1 = -2.43825e-08 +/- 6.189e-08 (253.8%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.996 1.000 c1 0.986 -0.997 1.000 d1 -0.972 0.988 -0.997 1.000 e1 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:48:53 2020 FIT: data read from 'EndTime.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 100.000] #datapoints = 7001 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a2 + b2*x +c2*x**2+d2*x**3 +e2*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 b2 c2 d2 e2 0 1.1370326060e+19 0.00e+00 1.78e+07 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.3921645092e+03 -3.38e-06 1.78e-04 1.151648e+01 3.987305e-02 -8.425974e-04 7.542756e-06 -2.536546e-08 After 11 iterations the fit converged. final sum of squares of residuals : 2392.16 rel. change during last iteration : -3.3783e-11 degrees of freedom (FIT_NDF) : 6996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.584751 variance of residuals (reduced chisquare) = WSSR/ndf : 0.341933 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 11.5165 +/- 0.866 (7.52%) b2 = 0.0398731 +/- 0.06021 (151%) c2 = -0.000842597 +/- 0.001499 (177.9%) d2 = 7.54276e-06 +/- 1.592e-05 (211.1%) e2 = -2.53655e-08 +/- 6.109e-08 (240.8%) correlation matrix of the fit parameters: a2 b2 c2 d2 e2 a2 1.000 b2 -0.996 1.000 c2 0.986 -0.997 1.000 d2 -0.972 0.988 -0.997 1.000 e2 0.955 -0.976 0.990 -0.998 1.000 ******************************************************************************* Sun Mar 22 17:51:19 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b*x +c*x**2+d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9630045004e+03 -3.41e-07 1.27e-03 1.226298e+01 3.390752e-03 -4.937835e-05 2.483314e-07 -8.734278e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7963 rel. change during last iteration : -3.40886e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543111 variance of residuals (reduced chisquare) = WSSR/ndf : 0.29497 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.263 +/- 0.05308 (0.4329%) b = 0.00339075 +/- 0.001799 (53.06%) c = -4.93784e-05 +/- 1.98e-05 (40.09%) d = 2.48331e-07 +/- 8.664e-08 (34.89%) e = -8.73428e-10 +/- 1.306e-10 (14.95%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.975 1.000 c 0.933 -0.987 1.000 d -0.889 0.961 -0.992 1.000 e 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 17:51:28 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a1 + b1*x +c1*x**2+d1*x**3 +e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9630045004e+03 -3.41e-07 1.27e-03 1.226298e+01 3.390752e-03 -4.937835e-05 2.483314e-07 -8.734278e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7963 rel. change during last iteration : -3.40886e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543111 variance of residuals (reduced chisquare) = WSSR/ndf : 0.29497 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.263 +/- 0.05308 (0.4329%) b1 = 0.00339075 +/- 0.001799 (53.06%) c1 = -4.93784e-05 +/- 1.98e-05 (40.09%) d1 = 2.48331e-07 +/- 8.664e-08 (34.89%) e1 = -8.73428e-10 +/- 1.306e-10 (14.95%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.975 1.000 c1 0.933 -0.987 1.000 d1 -0.889 0.961 -0.992 1.000 e1 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 17:51:36 2020 FIT: data read from 'EndTime.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a2 + b2*x +c2*x**2+d2*x**3 +e2*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 b2 c2 d2 e2 0 2.2038269675e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.8551666925e+03 -3.37e-07 1.27e-03 1.212459e+01 2.904388e-03 -4.811867e-05 2.510104e-07 -8.787399e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7855.17 rel. change during last iteration : -3.37148e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.539421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.290975 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.1246 +/- 0.05272 (0.4348%) b2 = 0.00290439 +/- 0.001787 (61.52%) c2 = -4.81187e-05 +/- 1.966e-05 (40.86%) d2 = 2.5101e-07 +/- 8.606e-08 (34.28%) e2 = -8.7874e-10 +/- 1.297e-10 (14.76%) correlation matrix of the fit parameters: a2 b2 c2 d2 e2 a2 1.000 b2 -0.975 1.000 c2 0.933 -0.987 1.000 d2 -0.889 0.961 -0.992 1.000 e2 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:46:34 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b*x +c*x**2+d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9630045004e+03 -3.41e-07 1.27e-03 1.226298e+01 3.390752e-03 -4.937835e-05 2.483314e-07 -8.734278e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7963 rel. change during last iteration : -3.40886e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543111 variance of residuals (reduced chisquare) = WSSR/ndf : 0.29497 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.263 +/- 0.05308 (0.4329%) b = 0.00339075 +/- 0.001799 (53.06%) c = -4.93784e-05 +/- 1.98e-05 (40.09%) d = 2.48331e-07 +/- 8.664e-08 (34.89%) e = -8.73428e-10 +/- 1.306e-10 (14.95%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.975 1.000 c 0.933 -0.987 1.000 d -0.889 0.961 -0.992 1.000 e 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:46:43 2020 FIT: data read from 'EndTime_QUADM5.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a1 + b1*x +c1*x**2+d1*x**3 +e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 8.0663838436e+03 -3.44e-07 1.27e-03 1.239567e+01 2.300675e-03 -4.801983e-05 2.623075e-07 -9.112572e-10 After 12 iterations the fit converged. final sum of squares of residuals : 8066.38 rel. change during last iteration : -3.44478e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.546625 variance of residuals (reduced chisquare) = WSSR/ndf : 0.298799 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.3957 +/- 0.05343 (0.431%) b1 = 0.00230067 +/- 0.001811 (78.7%) c1 = -4.80198e-05 +/- 1.992e-05 (41.49%) d1 = 2.62308e-07 +/- 8.72e-08 (33.25%) e1 = -9.11257e-10 +/- 1.314e-10 (14.42%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.975 1.000 c1 0.933 -0.987 1.000 d1 -0.889 0.961 -0.992 1.000 e1 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:46:51 2020 FIT: data read from 'EndTime.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a2 + b2*x +c2*x**2+d2*x**3 +e2*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 b2 c2 d2 e2 0 2.2038269675e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.8551666925e+03 -3.37e-07 1.27e-03 1.212459e+01 2.904388e-03 -4.811867e-05 2.510104e-07 -8.787399e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7855.17 rel. change during last iteration : -3.37148e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.539421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.290975 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.1246 +/- 0.05272 (0.4348%) b2 = 0.00290439 +/- 0.001787 (61.52%) c2 = -4.81187e-05 +/- 1.966e-05 (40.86%) d2 = 2.5101e-07 +/- 8.606e-08 (34.28%) e2 = -8.7874e-10 +/- 1.297e-10 (14.76%) correlation matrix of the fit parameters: a2 b2 c2 d2 e2 a2 1.000 b2 -0.975 1.000 c2 0.933 -0.987 1.000 d2 -0.889 0.961 -0.992 1.000 e2 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:51:09 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f1(x) fitted parameters initialized with current variable values ******************************************************************************* Sun Mar 22 18:53:31 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x) = a1 + b1*x +c1*x**2+d1*x**3 +e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9630045004e+03 -3.41e-07 1.27e-03 1.226298e+01 3.390752e-03 -4.937835e-05 2.483314e-07 -8.734278e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7963 rel. change during last iteration : -3.40886e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543111 variance of residuals (reduced chisquare) = WSSR/ndf : 0.29497 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.263 +/- 0.05308 (0.4329%) b1 = 0.00339075 +/- 0.001799 (53.06%) c1 = -4.93784e-05 +/- 1.98e-05 (40.09%) d1 = 2.48331e-07 +/- 8.664e-08 (34.89%) e1 = -8.73428e-10 +/- 1.306e-10 (14.95%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.975 1.000 c1 0.933 -0.987 1.000 d1 -0.889 0.961 -0.992 1.000 e1 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:56:43 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x) = a1 + b1*x +c1*x**2+d1*x**3 +e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9630045004e+03 -3.41e-07 1.27e-03 1.226298e+01 3.390752e-03 -4.937835e-05 2.483314e-07 -8.734278e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7963 rel. change during last iteration : -3.40886e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543111 variance of residuals (reduced chisquare) = WSSR/ndf : 0.29497 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.263 +/- 0.05308 (0.4329%) b1 = 0.00339075 +/- 0.001799 (53.06%) c1 = -4.93784e-05 +/- 1.98e-05 (40.09%) d1 = 2.48331e-07 +/- 8.664e-08 (34.89%) e1 = -8.73428e-10 +/- 1.306e-10 (14.95%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.975 1.000 c1 0.933 -0.987 1.000 d1 -0.889 0.961 -0.992 1.000 e1 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:56:52 2020 FIT: data read from 'EndTime_QUADM2.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f2(x) f2(x) = a2 + b2*x +c2*x**2+d2*x**3 +e2*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 b2 c2 d2 e2 0 2.2038269674e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9118497815e+03 -3.38e-07 1.27e-03 1.218377e+01 3.810463e-03 -5.406502e-05 2.702044e-07 -9.063605e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7911.85 rel. change during last iteration : -3.38297e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.541364 variance of residuals (reduced chisquare) = WSSR/ndf : 0.293075 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.1838 +/- 0.05291 (0.4343%) b2 = 0.00381046 +/- 0.001793 (47.06%) c2 = -5.4065e-05 +/- 1.973e-05 (36.5%) d2 = 2.70204e-07 +/- 8.637e-08 (31.96%) e2 = -9.06361e-10 +/- 1.302e-10 (14.36%) correlation matrix of the fit parameters: a2 b2 c2 d2 e2 a2 1.000 b2 -0.975 1.000 c2 0.933 -0.987 1.000 d2 -0.889 0.961 -0.992 1.000 e2 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:57:00 2020 FIT: data read from 'EndTime_QUADM3.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f3(x) f3(x) = a3 + b3*x +c3*x**2+d3*x**3 +e3*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 c3 d3 e3 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 8.0386124717e+03 -3.41e-07 1.27e-03 1.232226e+01 3.095835e-03 -5.200663e-05 2.730683e-07 -9.253708e-10 After 12 iterations the fit converged. final sum of squares of residuals : 8038.61 rel. change during last iteration : -3.41233e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.545684 variance of residuals (reduced chisquare) = WSSR/ndf : 0.297771 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 12.3223 +/- 0.05333 (0.4328%) b3 = 0.00309583 +/- 0.001808 (58.39%) c3 = -5.20066e-05 +/- 1.989e-05 (38.24%) d3 = 2.73068e-07 +/- 8.705e-08 (31.88%) e3 = -9.25371e-10 +/- 1.312e-10 (14.18%) correlation matrix of the fit parameters: a3 b3 c3 d3 e3 a3 1.000 b3 -0.975 1.000 c3 0.933 -0.987 1.000 d3 -0.889 0.961 -0.992 1.000 e3 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:57:09 2020 FIT: data read from 'EndTime_QUADM4.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f4(x) f4(x) = a4 + b4*x +c4*x**2+d4*x**3 +e4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a4 b4 c4 d4 e4 0 2.2038269674e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9602302943e+03 -3.43e-07 1.27e-03 1.228865e+01 2.830723e-03 -5.135212e-05 2.736637e-07 -9.256907e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7960.23 rel. change during last iteration : -3.42559e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543017 variance of residuals (reduced chisquare) = WSSR/ndf : 0.294867 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 12.2887 +/- 0.05307 (0.4319%) b4 = 0.00283072 +/- 0.001799 (63.54%) c4 = -5.13521e-05 +/- 1.979e-05 (38.54%) d4 = 2.73664e-07 +/- 8.663e-08 (31.66%) e4 = -9.25691e-10 +/- 1.306e-10 (14.1%) correlation matrix of the fit parameters: a4 b4 c4 d4 e4 a4 1.000 b4 -0.975 1.000 c4 0.933 -0.987 1.000 d4 -0.889 0.961 -0.992 1.000 e4 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:57:18 2020 FIT: data read from 'EndTime_QUADM5.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f5(x) f5(x) = a5 + b5*x +c5*x**2+d5*x**3 +e5*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a5 b5 c5 d5 e5 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 8.0663838436e+03 -3.44e-07 1.27e-03 1.239567e+01 2.300675e-03 -4.801983e-05 2.623075e-07 -9.112572e-10 After 12 iterations the fit converged. final sum of squares of residuals : 8066.38 rel. change during last iteration : -3.44478e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.546625 variance of residuals (reduced chisquare) = WSSR/ndf : 0.298799 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 12.3957 +/- 0.05343 (0.431%) b5 = 0.00230067 +/- 0.001811 (78.7%) c5 = -4.80198e-05 +/- 1.992e-05 (41.49%) d5 = 2.62308e-07 +/- 8.72e-08 (33.25%) e5 = -9.11257e-10 +/- 1.314e-10 (14.42%) correlation matrix of the fit parameters: a5 b5 c5 d5 e5 a5 1.000 b5 -0.975 1.000 c5 0.933 -0.987 1.000 d5 -0.889 0.961 -0.992 1.000 e5 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:57:27 2020 FIT: data read from 'EndTime_QUADM6.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f6(x) f6(x) = a6 + b6*x +c6*x**2+d6*x**3 +e6*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a6 b6 c6 d6 e6 0 2.2038269674e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9775786937e+03 -3.44e-07 1.27e-03 1.232487e+01 2.602568e-03 -5.250977e-05 2.876094e-07 -9.559971e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7977.58 rel. change during last iteration : -3.44003e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.29551 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 12.3249 +/- 0.05313 (0.4311%) b6 = 0.00260257 +/- 0.001801 (69.19%) c6 = -5.25098e-05 +/- 1.981e-05 (37.73%) d6 = 2.87609e-07 +/- 8.672e-08 (30.15%) e6 = -9.55997e-10 +/- 1.307e-10 (13.67%) correlation matrix of the fit parameters: a6 b6 c6 d6 e6 a6 1.000 b6 -0.975 1.000 c6 0.933 -0.987 1.000 d6 -0.889 0.961 -0.992 1.000 e6 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:57:35 2020 FIT: data read from 'EndTime_QUADM7.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f7(x) f7(x) = a7 + b7*x +c7*x**2+d7*x**3 +e7*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a7 b7 c7 d7 e7 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 8.0110283677e+03 -3.45e-07 1.27e-03 1.237040e+01 2.332800e-03 -4.618704e-05 2.518979e-07 -8.963195e-10 After 12 iterations the fit converged. final sum of squares of residuals : 8011.03 rel. change during last iteration : -3.45337e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.544746 variance of residuals (reduced chisquare) = WSSR/ndf : 0.296749 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 12.3704 +/- 0.05324 (0.4304%) b7 = 0.0023328 +/- 0.001805 (77.35%) c7 = -4.6187e-05 +/- 1.986e-05 (42.99%) d7 = 2.51898e-07 +/- 8.69e-08 (34.5%) e7 = -8.9632e-10 +/- 1.31e-10 (14.61%) correlation matrix of the fit parameters: a7 b7 c7 d7 e7 a7 1.000 b7 -0.975 1.000 c7 0.933 -0.987 1.000 d7 -0.889 0.961 -0.992 1.000 e7 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:57:44 2020 FIT: data read from 'EndTime_QUADM8.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f8(x) f8(x) = a8 + b8*x +c8*x**2+d8*x**3 +e8*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a8 b8 c8 d8 e8 0 2.2038269674e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9725826776e+03 -3.41e-07 1.27e-03 1.226980e+01 2.824541e-03 -4.928098e-05 2.607072e-07 -9.014152e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7972.58 rel. change during last iteration : -3.40899e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543438 variance of residuals (reduced chisquare) = WSSR/ndf : 0.295325 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 12.2698 +/- 0.05311 (0.4329%) b8 = 0.00282454 +/- 0.0018 (63.73%) c8 = -4.9281e-05 +/- 1.981e-05 (40.19%) d8 = 2.60707e-07 +/- 8.67e-08 (33.25%) e8 = -9.01415e-10 +/- 1.307e-10 (14.5%) correlation matrix of the fit parameters: a8 b8 c8 d8 e8 a8 1.000 b8 -0.975 1.000 c8 0.933 -0.987 1.000 d8 -0.889 0.961 -0.992 1.000 e8 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 18:57:53 2020 FIT: data read from 'EndTime.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a9 + b9*x +c9*x**2+d9*x**3 +e9*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a9 b9 c9 d9 e9 0 2.2038269675e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.8551666925e+03 -3.37e-07 1.27e-03 1.212459e+01 2.904388e-03 -4.811867e-05 2.510104e-07 -8.787399e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7855.17 rel. change during last iteration : -3.37148e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.539421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.290975 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.1246 +/- 0.05272 (0.4348%) b9 = 0.00290439 +/- 0.001787 (61.52%) c9 = -4.81187e-05 +/- 1.966e-05 (40.86%) d9 = 2.5101e-07 +/- 8.606e-08 (34.28%) e9 = -8.7874e-10 +/- 1.297e-10 (14.76%) correlation matrix of the fit parameters: a9 b9 c9 d9 e9 a9 1.000 b9 -0.975 1.000 c9 0.933 -0.987 1.000 d9 -0.889 0.961 -0.992 1.000 e9 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:33:04 2020 FIT: data read from 'EndTime_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x) = a1 + b1*x +c1*x**2+d1*x**3 +e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9630045004e+03 -3.41e-07 1.27e-03 1.226298e+01 3.390752e-03 -4.937835e-05 2.483314e-07 -8.734278e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7963 rel. change during last iteration : -3.40886e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543111 variance of residuals (reduced chisquare) = WSSR/ndf : 0.29497 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.263 +/- 0.05308 (0.4329%) b1 = 0.00339075 +/- 0.001799 (53.06%) c1 = -4.93784e-05 +/- 1.98e-05 (40.09%) d1 = 2.48331e-07 +/- 8.664e-08 (34.89%) e1 = -8.73428e-10 +/- 1.306e-10 (14.95%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.975 1.000 c1 0.933 -0.987 1.000 d1 -0.889 0.961 -0.992 1.000 e1 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:33:12 2020 FIT: data read from 'EndTime_QUADM2.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f2(x) f2(x) = a2 + b2*x +c2*x**2+d2*x**3 +e2*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 b2 c2 d2 e2 0 2.2038269674e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9118497815e+03 -3.38e-07 1.27e-03 1.218377e+01 3.810463e-03 -5.406502e-05 2.702044e-07 -9.063605e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7911.85 rel. change during last iteration : -3.38297e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.541364 variance of residuals (reduced chisquare) = WSSR/ndf : 0.293075 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.1838 +/- 0.05291 (0.4343%) b2 = 0.00381046 +/- 0.001793 (47.06%) c2 = -5.4065e-05 +/- 1.973e-05 (36.5%) d2 = 2.70204e-07 +/- 8.637e-08 (31.96%) e2 = -9.06361e-10 +/- 1.302e-10 (14.36%) correlation matrix of the fit parameters: a2 b2 c2 d2 e2 a2 1.000 b2 -0.975 1.000 c2 0.933 -0.987 1.000 d2 -0.889 0.961 -0.992 1.000 e2 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:33:21 2020 FIT: data read from 'EndTime_QUADM3.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f3(x) f3(x) = a3 + b3*x +c3*x**2+d3*x**3 +e3*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 c3 d3 e3 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 8.0386124717e+03 -3.41e-07 1.27e-03 1.232226e+01 3.095835e-03 -5.200663e-05 2.730683e-07 -9.253708e-10 After 12 iterations the fit converged. final sum of squares of residuals : 8038.61 rel. change during last iteration : -3.41233e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.545684 variance of residuals (reduced chisquare) = WSSR/ndf : 0.297771 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 12.3223 +/- 0.05333 (0.4328%) b3 = 0.00309583 +/- 0.001808 (58.39%) c3 = -5.20066e-05 +/- 1.989e-05 (38.24%) d3 = 2.73068e-07 +/- 8.705e-08 (31.88%) e3 = -9.25371e-10 +/- 1.312e-10 (14.18%) correlation matrix of the fit parameters: a3 b3 c3 d3 e3 a3 1.000 b3 -0.975 1.000 c3 0.933 -0.987 1.000 d3 -0.889 0.961 -0.992 1.000 e3 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:33:30 2020 FIT: data read from 'EndTime_QUADM4.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f4(x) f4(x) = a4 + b4*x +c4*x**2+d4*x**3 +e4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a4 b4 c4 d4 e4 0 2.2038269674e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9602302943e+03 -3.43e-07 1.27e-03 1.228865e+01 2.830723e-03 -5.135212e-05 2.736637e-07 -9.256907e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7960.23 rel. change during last iteration : -3.42559e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543017 variance of residuals (reduced chisquare) = WSSR/ndf : 0.294867 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 12.2887 +/- 0.05307 (0.4319%) b4 = 0.00283072 +/- 0.001799 (63.54%) c4 = -5.13521e-05 +/- 1.979e-05 (38.54%) d4 = 2.73664e-07 +/- 8.663e-08 (31.66%) e4 = -9.25691e-10 +/- 1.306e-10 (14.1%) correlation matrix of the fit parameters: a4 b4 c4 d4 e4 a4 1.000 b4 -0.975 1.000 c4 0.933 -0.987 1.000 d4 -0.889 0.961 -0.992 1.000 e4 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:33:39 2020 FIT: data read from 'EndTime_QUADM5.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f5(x) f5(x) = a5 + b5*x +c5*x**2+d5*x**3 +e5*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a5 b5 c5 d5 e5 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 8.0663838436e+03 -3.44e-07 1.27e-03 1.239567e+01 2.300675e-03 -4.801983e-05 2.623075e-07 -9.112572e-10 After 12 iterations the fit converged. final sum of squares of residuals : 8066.38 rel. change during last iteration : -3.44478e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.546625 variance of residuals (reduced chisquare) = WSSR/ndf : 0.298799 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 12.3957 +/- 0.05343 (0.431%) b5 = 0.00230067 +/- 0.001811 (78.7%) c5 = -4.80198e-05 +/- 1.992e-05 (41.49%) d5 = 2.62308e-07 +/- 8.72e-08 (33.25%) e5 = -9.11257e-10 +/- 1.314e-10 (14.42%) correlation matrix of the fit parameters: a5 b5 c5 d5 e5 a5 1.000 b5 -0.975 1.000 c5 0.933 -0.987 1.000 d5 -0.889 0.961 -0.992 1.000 e5 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:33:47 2020 FIT: data read from 'EndTime_QUADM6.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f6(x) f6(x) = a6 + b6*x +c6*x**2+d6*x**3 +e6*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a6 b6 c6 d6 e6 0 2.2038269674e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9775786937e+03 -3.44e-07 1.27e-03 1.232487e+01 2.602568e-03 -5.250977e-05 2.876094e-07 -9.559971e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7977.58 rel. change during last iteration : -3.44003e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.29551 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 12.3249 +/- 0.05313 (0.4311%) b6 = 0.00260257 +/- 0.001801 (69.19%) c6 = -5.25098e-05 +/- 1.981e-05 (37.73%) d6 = 2.87609e-07 +/- 8.672e-08 (30.15%) e6 = -9.55997e-10 +/- 1.307e-10 (13.67%) correlation matrix of the fit parameters: a6 b6 c6 d6 e6 a6 1.000 b6 -0.975 1.000 c6 0.933 -0.987 1.000 d6 -0.889 0.961 -0.992 1.000 e6 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:33:56 2020 FIT: data read from 'EndTime_QUADM7.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f7(x) f7(x) = a7 + b7*x +c7*x**2+d7*x**3 +e7*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a7 b7 c7 d7 e7 0 2.2038269673e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 8.0110283677e+03 -3.45e-07 1.27e-03 1.237040e+01 2.332800e-03 -4.618704e-05 2.518979e-07 -8.963195e-10 After 12 iterations the fit converged. final sum of squares of residuals : 8011.03 rel. change during last iteration : -3.45337e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.544746 variance of residuals (reduced chisquare) = WSSR/ndf : 0.296749 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 12.3704 +/- 0.05324 (0.4304%) b7 = 0.0023328 +/- 0.001805 (77.35%) c7 = -4.6187e-05 +/- 1.986e-05 (42.99%) d7 = 2.51898e-07 +/- 8.69e-08 (34.5%) e7 = -8.9632e-10 +/- 1.31e-10 (14.61%) correlation matrix of the fit parameters: a7 b7 c7 d7 e7 a7 1.000 b7 -0.975 1.000 c7 0.933 -0.987 1.000 d7 -0.889 0.961 -0.992 1.000 e7 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:34:04 2020 FIT: data read from 'EndTime_QUADM8.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: f8(x) f8(x) = a8 + b8*x +c8*x**2+d8*x**3 +e8*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a8 b8 c8 d8 e8 0 2.2038269674e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.9725826776e+03 -3.41e-07 1.27e-03 1.226980e+01 2.824541e-03 -4.928098e-05 2.607072e-07 -9.014152e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7972.58 rel. change during last iteration : -3.40899e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.543438 variance of residuals (reduced chisquare) = WSSR/ndf : 0.295325 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 12.2698 +/- 0.05311 (0.4329%) b8 = 0.00282454 +/- 0.0018 (63.73%) c8 = -4.9281e-05 +/- 1.981e-05 (40.19%) d8 = 2.60707e-07 +/- 8.67e-08 (33.25%) e8 = -9.01415e-10 +/- 1.307e-10 (14.5%) correlation matrix of the fit parameters: a8 b8 c8 d8 e8 a8 1.000 b8 -0.975 1.000 c8 0.933 -0.987 1.000 d8 -0.889 0.961 -0.992 1.000 e8 0.847 -0.930 0.975 -0.995 1.000 ******************************************************************************* Sun Mar 22 19:34:13 2020 FIT: data read from 'EndTime.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 27001 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a9 + b9*x +c9*x**2+d9*x**3 +e9*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a9 b9 c9 d9 e9 0 2.2038269675e+23 0.00e+00 1.27e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 12 7.8551666925e+03 -3.37e-07 1.27e-03 1.212459e+01 2.904388e-03 -4.811867e-05 2.510104e-07 -8.787399e-10 After 12 iterations the fit converged. final sum of squares of residuals : 7855.17 rel. change during last iteration : -3.37148e-12 degrees of freedom (FIT_NDF) : 26996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.539421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.290975 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.1246 +/- 0.05272 (0.4348%) b9 = 0.00290439 +/- 0.001787 (61.52%) c9 = -4.81187e-05 +/- 1.966e-05 (40.86%) d9 = 2.5101e-07 +/- 8.606e-08 (34.28%) e9 = -8.7874e-10 +/- 1.297e-10 (14.76%) correlation matrix of the fit parameters: a9 b9 c9 d9 e9 a9 1.000 b9 -0.975 1.000 c9 0.933 -0.987 1.000 d9 -0.889 0.961 -0.992 1.000 e9 0.847 -0.930 0.975 -0.995 1.000