******************************************************************************* Mon Mar 23 09:05:15 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26467 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 1.9795593084e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6247389911e+02 -2.25e-01 1.22e-02 5.461754e-01 6.581851e-04 -8.219830e-06 5.550536e-08 -1.692764e-10 After 11 iterations the fit converged. final sum of squares of residuals : 562.474 rel. change during last iteration : -2.24859e-06 degrees of freedom (FIT_NDF) : 26462 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212559 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 0.546175 +/- 0.01435 (2.628%) b1 = 0.000658185 +/- 0.0004882 (74.17%) c1 = -8.21983e-06 +/- 5.392e-06 (65.6%) d1 = 5.55054e-08 +/- 2.37e-08 (42.7%) e1 = -1.69276e-10 +/- 3.588e-11 (21.2%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:05:23 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM2.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9782846567e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8109152904e+02 -2.04e-01 1.22e-02 5.588913e-01 4.459073e-04 -5.391587e-06 4.145577e-08 -1.469890e-10 After 11 iterations the fit converged. final sum of squares of residuals : 581.092 rel. change during last iteration : -2.04437e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.148198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0219628 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.558891 +/- 0.01459 (2.611%) b2 = 0.000445907 +/- 0.0004962 (111.3%) c2 = -5.39159e-06 +/- 5.482e-06 (101.7%) d2 = 4.14558e-08 +/- 2.409e-08 (58.12%) e2 = -1.46989e-10 +/- 3.648e-11 (24.82%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:05:31 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM3.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26471 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 1.9813990025e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6679362351e+02 -2.26e-01 1.22e-02 5.436708e-01 6.747368e-04 -8.114444e-06 5.409195e-08 -1.658797e-10 After 11 iterations the fit converged. final sum of squares of residuals : 566.794 rel. change during last iteration : -2.26362e-06 degrees of freedom (FIT_NDF) : 26466 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146342 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0214159 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.543671 +/- 0.01441 (2.65%) b3 = 0.000674737 +/- 0.0004901 (72.63%) c3 = -8.11444e-06 +/- 5.413e-06 (66.71%) d3 = 5.4092e-08 +/- 2.38e-08 (43.99%) e3 = -1.6588e-10 +/- 3.603e-11 (21.72%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:05:40 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM4.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26473 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 1.9815617016e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7678148866e+02 -2.18e-01 1.22e-02 5.482032e-01 7.359108e-04 -8.640591e-06 5.651218e-08 -1.706191e-10 After 11 iterations the fit converged. final sum of squares of residuals : 576.781 rel. change during last iteration : -2.17616e-06 degrees of freedom (FIT_NDF) : 26468 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.14762 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0217917 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.548203 +/- 0.01453 (2.651%) b4 = 0.000735911 +/- 0.0004943 (67.16%) c4 = -8.64059e-06 +/- 5.459e-06 (63.18%) d4 = 5.65122e-08 +/- 2.4e-08 (42.46%) e4 = -1.70619e-10 +/- 3.633e-11 (21.29%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:05:48 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM5.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9789716132e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6325109675e+02 -2.30e-01 1.22e-02 5.412793e-01 6.500913e-04 -7.371795e-06 4.946037e-08 -1.570277e-10 After 11 iterations the fit converged. final sum of squares of residuals : 563.251 rel. change during last iteration : -2.29797e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212885 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 0.541279 +/- 0.01437 (2.654%) b5 = 0.000650091 +/- 0.0004886 (75.16%) c5 = -7.3718e-06 +/- 5.398e-06 (73.22%) d5 = 4.94604e-08 +/- 2.373e-08 (47.97%) e5 = -1.57028e-10 +/- 3.592e-11 (22.88%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:05:56 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM6.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26469 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 1.9792389769e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8060347523e+02 -2.15e-01 1.22e-02 5.488823e-01 6.858523e-04 -7.917885e-06 5.283391e-08 -1.646353e-10 After 11 iterations the fit converged. final sum of squares of residuals : 580.603 rel. change during last iteration : -2.14959e-06 degrees of freedom (FIT_NDF) : 26464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.148119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0219394 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 0.548882 +/- 0.01458 (2.657%) b6 = 0.000685852 +/- 0.000496 (72.32%) c6 = -7.91789e-06 +/- 5.479e-06 (69.2%) d6 = 5.28339e-08 +/- 2.408e-08 (45.59%) e6 = -1.64635e-10 +/- 3.646e-11 (22.15%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:06:04 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM7.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9782089554e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6448222104e+02 -2.30e-01 1.22e-02 5.402787e-01 7.370280e-04 -8.665550e-06 5.624919e-08 -1.687518e-10 After 11 iterations the fit converged. final sum of squares of residuals : 564.482 rel. change during last iteration : -2.30097e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146065 variance of residuals (reduced chisquare) = WSSR/ndf : 0.021335 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 0.540279 +/- 0.01438 (2.662%) b7 = 0.000737028 +/- 0.0004891 (66.37%) c7 = -8.66555e-06 +/- 5.403e-06 (62.35%) d7 = 5.62492e-08 +/- 2.375e-08 (42.22%) e7 = -1.68752e-10 +/- 3.596e-11 (21.31%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:06:12 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM8.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26467 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 1.9805817434e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7661639338e+02 -2.14e-01 1.22e-02 5.515806e-01 7.099340e-04 -8.651003e-06 5.721551e-08 -1.725477e-10 After 11 iterations the fit converged. final sum of squares of residuals : 576.616 rel. change during last iteration : -2.1413e-06 degrees of freedom (FIT_NDF) : 26462 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.147616 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0217904 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 0.551581 +/- 0.01454 (2.635%) b8 = 0.000709934 +/- 0.0004943 (69.63%) c8 = -8.651e-06 +/- 5.46e-06 (63.12%) d8 = 5.72155e-08 +/- 2.4e-08 (41.95%) e8 = -1.72548e-10 +/- 3.634e-11 (21.06%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:07:03 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26467 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 1.9795593084e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6247389911e+02 -2.25e-01 1.22e-02 5.461754e-01 6.581851e-04 -8.219830e-06 5.550536e-08 -1.692764e-10 After 11 iterations the fit converged. final sum of squares of residuals : 562.474 rel. change during last iteration : -2.24859e-06 degrees of freedom (FIT_NDF) : 26462 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212559 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 0.546175 +/- 0.01435 (2.628%) b1 = 0.000658185 +/- 0.0004882 (74.17%) c1 = -8.21983e-06 +/- 5.392e-06 (65.6%) d1 = 5.55054e-08 +/- 2.37e-08 (42.7%) e1 = -1.69276e-10 +/- 3.588e-11 (21.2%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:07:11 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM2.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9782846567e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8109152904e+02 -2.04e-01 1.22e-02 5.588913e-01 4.459073e-04 -5.391587e-06 4.145577e-08 -1.469890e-10 After 11 iterations the fit converged. final sum of squares of residuals : 581.092 rel. change during last iteration : -2.04437e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.148198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0219628 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.558891 +/- 0.01459 (2.611%) b2 = 0.000445907 +/- 0.0004962 (111.3%) c2 = -5.39159e-06 +/- 5.482e-06 (101.7%) d2 = 4.14558e-08 +/- 2.409e-08 (58.12%) e2 = -1.46989e-10 +/- 3.648e-11 (24.82%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:07:19 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM3.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26471 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 1.9813990025e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6679362351e+02 -2.26e-01 1.22e-02 5.436708e-01 6.747368e-04 -8.114444e-06 5.409195e-08 -1.658797e-10 After 11 iterations the fit converged. final sum of squares of residuals : 566.794 rel. change during last iteration : -2.26362e-06 degrees of freedom (FIT_NDF) : 26466 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146342 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0214159 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.543671 +/- 0.01441 (2.65%) b3 = 0.000674737 +/- 0.0004901 (72.63%) c3 = -8.11444e-06 +/- 5.413e-06 (66.71%) d3 = 5.4092e-08 +/- 2.38e-08 (43.99%) e3 = -1.6588e-10 +/- 3.603e-11 (21.72%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:07:28 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM4.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26473 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 1.9815617016e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7678148866e+02 -2.18e-01 1.22e-02 5.482032e-01 7.359108e-04 -8.640591e-06 5.651218e-08 -1.706191e-10 After 11 iterations the fit converged. final sum of squares of residuals : 576.781 rel. change during last iteration : -2.17616e-06 degrees of freedom (FIT_NDF) : 26468 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.14762 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0217917 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.548203 +/- 0.01453 (2.651%) b4 = 0.000735911 +/- 0.0004943 (67.16%) c4 = -8.64059e-06 +/- 5.459e-06 (63.18%) d4 = 5.65122e-08 +/- 2.4e-08 (42.46%) e4 = -1.70619e-10 +/- 3.633e-11 (21.29%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:07:36 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM5.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9789716132e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6325109675e+02 -2.30e-01 1.22e-02 5.412793e-01 6.500913e-04 -7.371795e-06 4.946037e-08 -1.570277e-10 After 11 iterations the fit converged. final sum of squares of residuals : 563.251 rel. change during last iteration : -2.29797e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212885 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 0.541279 +/- 0.01437 (2.654%) b5 = 0.000650091 +/- 0.0004886 (75.16%) c5 = -7.3718e-06 +/- 5.398e-06 (73.22%) d5 = 4.94604e-08 +/- 2.373e-08 (47.97%) e5 = -1.57028e-10 +/- 3.592e-11 (22.88%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:07:44 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM6.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26469 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 1.9792389769e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8060347523e+02 -2.15e-01 1.22e-02 5.488823e-01 6.858523e-04 -7.917885e-06 5.283391e-08 -1.646353e-10 After 11 iterations the fit converged. final sum of squares of residuals : 580.603 rel. change during last iteration : -2.14959e-06 degrees of freedom (FIT_NDF) : 26464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.148119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0219394 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 0.548882 +/- 0.01458 (2.657%) b6 = 0.000685852 +/- 0.000496 (72.32%) c6 = -7.91789e-06 +/- 5.479e-06 (69.2%) d6 = 5.28339e-08 +/- 2.408e-08 (45.59%) e6 = -1.64635e-10 +/- 3.646e-11 (22.15%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:07:52 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM7.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9782089554e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6448222104e+02 -2.30e-01 1.22e-02 5.402787e-01 7.370280e-04 -8.665550e-06 5.624919e-08 -1.687518e-10 After 11 iterations the fit converged. final sum of squares of residuals : 564.482 rel. change during last iteration : -2.30097e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146065 variance of residuals (reduced chisquare) = WSSR/ndf : 0.021335 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 0.540279 +/- 0.01438 (2.662%) b7 = 0.000737028 +/- 0.0004891 (66.37%) c7 = -8.66555e-06 +/- 5.403e-06 (62.35%) d7 = 5.62492e-08 +/- 2.375e-08 (42.22%) e7 = -1.68752e-10 +/- 3.596e-11 (21.31%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:08:00 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM8.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26467 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 1.9805817434e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7661639338e+02 -2.14e-01 1.22e-02 5.515806e-01 7.099340e-04 -8.651003e-06 5.721551e-08 -1.725477e-10 After 11 iterations the fit converged. final sum of squares of residuals : 576.616 rel. change during last iteration : -2.1413e-06 degrees of freedom (FIT_NDF) : 26462 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.147616 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0217904 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 0.551581 +/- 0.01454 (2.635%) b8 = 0.000709934 +/- 0.0004943 (69.63%) c8 = -8.651e-06 +/- 5.46e-06 (63.12%) d8 = 5.72155e-08 +/- 2.4e-08 (41.95%) e8 = -1.72548e-10 +/- 3.634e-11 (21.06%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:08:08 2020 FIT: data read from 'Time_Dep_Moments_at_END.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26465 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 1.9796138512e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7730435626e+02 -2.14e-01 1.22e-02 5.508621e-01 7.396353e-04 -9.035909e-06 5.916682e-08 -1.759647e-10 After 11 iterations the fit converged. final sum of squares of residuals : 577.304 rel. change during last iteration : -2.14418e-06 degrees of freedom (FIT_NDF) : 26460 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.147709 variance of residuals (reduced chisquare) = WSSR/ndf : 0.021818 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.550862 +/- 0.01455 (2.641%) b9 = 0.000739635 +/- 0.0004947 (66.88%) c9 = -9.03591e-06 +/- 5.465e-06 (60.48%) d9 = 5.91668e-08 +/- 2.402e-08 (40.6%) e9 = -1.75965e-10 +/- 3.637e-11 (20.67%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:12:03 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26467 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 1.9795593084e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6247389911e+02 -2.25e-01 1.22e-02 5.461754e-01 6.581851e-04 -8.219830e-06 5.550536e-08 -1.692764e-10 After 11 iterations the fit converged. final sum of squares of residuals : 562.474 rel. change during last iteration : -2.24859e-06 degrees of freedom (FIT_NDF) : 26462 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212559 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 0.546175 +/- 0.01435 (2.628%) b1 = 0.000658185 +/- 0.0004882 (74.17%) c1 = -8.21983e-06 +/- 5.392e-06 (65.6%) d1 = 5.55054e-08 +/- 2.37e-08 (42.7%) e1 = -1.69276e-10 +/- 3.588e-11 (21.2%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:12:11 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM2.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9782846567e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8109152904e+02 -2.04e-01 1.22e-02 5.588913e-01 4.459073e-04 -5.391587e-06 4.145577e-08 -1.469890e-10 After 11 iterations the fit converged. final sum of squares of residuals : 581.092 rel. change during last iteration : -2.04437e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.148198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0219628 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.558891 +/- 0.01459 (2.611%) b2 = 0.000445907 +/- 0.0004962 (111.3%) c2 = -5.39159e-06 +/- 5.482e-06 (101.7%) d2 = 4.14558e-08 +/- 2.409e-08 (58.12%) e2 = -1.46989e-10 +/- 3.648e-11 (24.82%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:12:20 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM3.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26471 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 1.9813990025e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6679362351e+02 -2.26e-01 1.22e-02 5.436708e-01 6.747368e-04 -8.114444e-06 5.409195e-08 -1.658797e-10 After 11 iterations the fit converged. final sum of squares of residuals : 566.794 rel. change during last iteration : -2.26362e-06 degrees of freedom (FIT_NDF) : 26466 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146342 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0214159 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.543671 +/- 0.01441 (2.65%) b3 = 0.000674737 +/- 0.0004901 (72.63%) c3 = -8.11444e-06 +/- 5.413e-06 (66.71%) d3 = 5.4092e-08 +/- 2.38e-08 (43.99%) e3 = -1.6588e-10 +/- 3.603e-11 (21.72%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:12:28 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM4.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26473 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 1.9815617016e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7678148866e+02 -2.18e-01 1.22e-02 5.482032e-01 7.359108e-04 -8.640591e-06 5.651218e-08 -1.706191e-10 After 11 iterations the fit converged. final sum of squares of residuals : 576.781 rel. change during last iteration : -2.17616e-06 degrees of freedom (FIT_NDF) : 26468 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.14762 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0217917 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.548203 +/- 0.01453 (2.651%) b4 = 0.000735911 +/- 0.0004943 (67.16%) c4 = -8.64059e-06 +/- 5.459e-06 (63.18%) d4 = 5.65122e-08 +/- 2.4e-08 (42.46%) e4 = -1.70619e-10 +/- 3.633e-11 (21.29%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:12:36 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM5.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9789716132e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6325109675e+02 -2.30e-01 1.22e-02 5.412793e-01 6.500913e-04 -7.371795e-06 4.946037e-08 -1.570277e-10 After 11 iterations the fit converged. final sum of squares of residuals : 563.251 rel. change during last iteration : -2.29797e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212885 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 0.541279 +/- 0.01437 (2.654%) b5 = 0.000650091 +/- 0.0004886 (75.16%) c5 = -7.3718e-06 +/- 5.398e-06 (73.22%) d5 = 4.94604e-08 +/- 2.373e-08 (47.97%) e5 = -1.57028e-10 +/- 3.592e-11 (22.88%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:12:44 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM6.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26469 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 1.9792389769e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8060347523e+02 -2.15e-01 1.22e-02 5.488823e-01 6.858523e-04 -7.917885e-06 5.283391e-08 -1.646353e-10 After 11 iterations the fit converged. final sum of squares of residuals : 580.603 rel. change during last iteration : -2.14959e-06 degrees of freedom (FIT_NDF) : 26464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.148119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0219394 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 0.548882 +/- 0.01458 (2.657%) b6 = 0.000685852 +/- 0.000496 (72.32%) c6 = -7.91789e-06 +/- 5.479e-06 (69.2%) d6 = 5.28339e-08 +/- 2.408e-08 (45.59%) e6 = -1.64635e-10 +/- 3.646e-11 (22.15%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:12:52 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM7.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9782089554e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6448222104e+02 -2.30e-01 1.22e-02 5.402787e-01 7.370280e-04 -8.665550e-06 5.624919e-08 -1.687518e-10 After 11 iterations the fit converged. final sum of squares of residuals : 564.482 rel. change during last iteration : -2.30097e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146065 variance of residuals (reduced chisquare) = WSSR/ndf : 0.021335 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 0.540279 +/- 0.01438 (2.662%) b7 = 0.000737028 +/- 0.0004891 (66.37%) c7 = -8.66555e-06 +/- 5.403e-06 (62.35%) d7 = 5.62492e-08 +/- 2.375e-08 (42.22%) e7 = -1.68752e-10 +/- 3.596e-11 (21.31%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:13:00 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM8.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26467 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 1.9805817434e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7661639338e+02 -2.14e-01 1.22e-02 5.515806e-01 7.099340e-04 -8.651003e-06 5.721551e-08 -1.725477e-10 After 11 iterations the fit converged. final sum of squares of residuals : 576.616 rel. change during last iteration : -2.1413e-06 degrees of freedom (FIT_NDF) : 26462 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.147616 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0217904 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 0.551581 +/- 0.01454 (2.635%) b8 = 0.000709934 +/- 0.0004943 (69.63%) c8 = -8.651e-06 +/- 5.46e-06 (63.12%) d8 = 5.72155e-08 +/- 2.4e-08 (41.95%) e8 = -1.72548e-10 +/- 3.634e-11 (21.06%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:13:08 2020 FIT: data read from 'Time_Dep_Moments_at_END.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26465 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 1.9796138512e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7730435626e+02 -2.14e-01 1.22e-02 5.508621e-01 7.396353e-04 -9.035909e-06 5.916682e-08 -1.759647e-10 After 11 iterations the fit converged. final sum of squares of residuals : 577.304 rel. change during last iteration : -2.14418e-06 degrees of freedom (FIT_NDF) : 26460 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.147709 variance of residuals (reduced chisquare) = WSSR/ndf : 0.021818 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.550862 +/- 0.01455 (2.641%) b9 = 0.000739635 +/- 0.0004947 (66.88%) c9 = -9.03591e-06 +/- 5.465e-06 (60.48%) d9 = 5.91668e-08 +/- 2.402e-08 (40.6%) e9 = -1.75965e-10 +/- 3.637e-11 (20.67%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:16:48 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM1.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26467 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 1.9795593084e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6247389911e+02 -2.25e-01 1.22e-02 5.461754e-01 6.581851e-04 -8.219830e-06 5.550536e-08 -1.692764e-10 After 11 iterations the fit converged. final sum of squares of residuals : 562.474 rel. change during last iteration : -2.24859e-06 degrees of freedom (FIT_NDF) : 26462 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212559 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 0.546175 +/- 0.01435 (2.628%) b1 = 0.000658185 +/- 0.0004882 (74.17%) c1 = -8.21983e-06 +/- 5.392e-06 (65.6%) d1 = 5.55054e-08 +/- 2.37e-08 (42.7%) e1 = -1.69276e-10 +/- 3.588e-11 (21.2%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:16:57 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM2.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9782846567e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8109152904e+02 -2.04e-01 1.22e-02 5.588913e-01 4.459073e-04 -5.391587e-06 4.145577e-08 -1.469890e-10 After 11 iterations the fit converged. final sum of squares of residuals : 581.092 rel. change during last iteration : -2.04437e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.148198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0219628 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.558891 +/- 0.01459 (2.611%) b2 = 0.000445907 +/- 0.0004962 (111.3%) c2 = -5.39159e-06 +/- 5.482e-06 (101.7%) d2 = 4.14558e-08 +/- 2.409e-08 (58.12%) e2 = -1.46989e-10 +/- 3.648e-11 (24.82%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:17:05 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM3.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26471 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 1.9813990025e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6679362351e+02 -2.26e-01 1.22e-02 5.436708e-01 6.747368e-04 -8.114444e-06 5.409195e-08 -1.658797e-10 After 11 iterations the fit converged. final sum of squares of residuals : 566.794 rel. change during last iteration : -2.26362e-06 degrees of freedom (FIT_NDF) : 26466 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146342 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0214159 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.543671 +/- 0.01441 (2.65%) b3 = 0.000674737 +/- 0.0004901 (72.63%) c3 = -8.11444e-06 +/- 5.413e-06 (66.71%) d3 = 5.4092e-08 +/- 2.38e-08 (43.99%) e3 = -1.6588e-10 +/- 3.603e-11 (21.72%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:17:13 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM4.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26473 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 1.9815617016e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7678148866e+02 -2.18e-01 1.22e-02 5.482032e-01 7.359108e-04 -8.640591e-06 5.651218e-08 -1.706191e-10 After 11 iterations the fit converged. final sum of squares of residuals : 576.781 rel. change during last iteration : -2.17616e-06 degrees of freedom (FIT_NDF) : 26468 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.14762 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0217917 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.548203 +/- 0.01453 (2.651%) b4 = 0.000735911 +/- 0.0004943 (67.16%) c4 = -8.64059e-06 +/- 5.459e-06 (63.18%) d4 = 5.65122e-08 +/- 2.4e-08 (42.46%) e4 = -1.70619e-10 +/- 3.633e-11 (21.29%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:17:21 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM5.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9789716132e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6325109675e+02 -2.30e-01 1.22e-02 5.412793e-01 6.500913e-04 -7.371795e-06 4.946037e-08 -1.570277e-10 After 11 iterations the fit converged. final sum of squares of residuals : 563.251 rel. change during last iteration : -2.29797e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.145906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0212885 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 0.541279 +/- 0.01437 (2.654%) b5 = 0.000650091 +/- 0.0004886 (75.16%) c5 = -7.3718e-06 +/- 5.398e-06 (73.22%) d5 = 4.94604e-08 +/- 2.373e-08 (47.97%) e5 = -1.57028e-10 +/- 3.592e-11 (22.88%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:17:30 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM6.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26469 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 1.9792389769e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8060347523e+02 -2.15e-01 1.22e-02 5.488823e-01 6.858523e-04 -7.917885e-06 5.283391e-08 -1.646353e-10 After 11 iterations the fit converged. final sum of squares of residuals : 580.603 rel. change during last iteration : -2.14959e-06 degrees of freedom (FIT_NDF) : 26464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.148119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0219394 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 0.548882 +/- 0.01458 (2.657%) b6 = 0.000685852 +/- 0.000496 (72.32%) c6 = -7.91789e-06 +/- 5.479e-06 (69.2%) d6 = 5.28339e-08 +/- 2.408e-08 (45.59%) e6 = -1.64635e-10 +/- 3.646e-11 (22.15%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:17:38 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM7.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26463 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 1.9782089554e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.6448222104e+02 -2.30e-01 1.22e-02 5.402787e-01 7.370280e-04 -8.665550e-06 5.624919e-08 -1.687518e-10 After 11 iterations the fit converged. final sum of squares of residuals : 564.482 rel. change during last iteration : -2.30097e-06 degrees of freedom (FIT_NDF) : 26458 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.146065 variance of residuals (reduced chisquare) = WSSR/ndf : 0.021335 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 0.540279 +/- 0.01438 (2.662%) b7 = 0.000737028 +/- 0.0004891 (66.37%) c7 = -8.66555e-06 +/- 5.403e-06 (62.35%) d7 = 5.62492e-08 +/- 2.375e-08 (42.22%) e7 = -1.68752e-10 +/- 3.596e-11 (21.31%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:17:46 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM8.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26467 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 1.9805817434e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7661639338e+02 -2.14e-01 1.22e-02 5.515806e-01 7.099340e-04 -8.651003e-06 5.721551e-08 -1.725477e-10 After 11 iterations the fit converged. final sum of squares of residuals : 576.616 rel. change during last iteration : -2.1413e-06 degrees of freedom (FIT_NDF) : 26462 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.147616 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0217904 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 0.551581 +/- 0.01454 (2.635%) b8 = 0.000709934 +/- 0.0004943 (69.63%) c8 = -8.651e-06 +/- 5.46e-06 (63.12%) d8 = 5.72155e-08 +/- 2.4e-08 (41.95%) e8 = -1.72548e-10 +/- 3.634e-11 (21.06%) 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 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 09:17:54 2020 FIT: data read from 'Time_Dep_Moments_at_END.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26465 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 1.9796138512e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.7730435626e+02 -2.14e-01 1.22e-02 5.508621e-01 7.396353e-04 -9.035909e-06 5.916682e-08 -1.759647e-10 After 11 iterations the fit converged. final sum of squares of residuals : 577.304 rel. change during last iteration : -2.14418e-06 degrees of freedom (FIT_NDF) : 26460 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.147709 variance of residuals (reduced chisquare) = WSSR/ndf : 0.021818 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.550862 +/- 0.01455 (2.641%) b9 = 0.000739635 +/- 0.0004947 (66.88%) c9 = -9.03591e-06 +/- 5.465e-06 (60.48%) d9 = 5.91668e-08 +/- 2.402e-08 (40.6%) e9 = -1.75965e-10 +/- 3.637e-11 (20.67%) 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 0.974 -0.995 1.000