******************************************************************************* Mon Mar 23 17:24:02 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 = 26397 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 1.9887219581e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8815833697e+02 -1.23e-01 1.22e-02 6.507378e-01 -3.950696e-03 5.719726e-05 -2.976259e-07 4.523549e-10 After 11 iterations the fit converged. final sum of squares of residuals : 588.158 rel. change during last iteration : -1.23486e-06 degrees of freedom (FIT_NDF) : 26392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149283 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222855 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 0.650738 +/- 0.01469 (2.257%) b1 = -0.0039507 +/- 0.0004992 (12.64%) c1 = 5.71973e-05 +/- 5.512e-06 (9.637%) d1 = -2.97626e-07 +/- 2.422e-08 (8.136%) e1 = 4.52355e-10 +/- 3.664e-11 (8.099%) 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 17:24:10 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 = 26403 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 1.9896565228e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0574730911e+02 -1.13e-01 1.22e-02 6.596359e-01 -4.004042e-03 5.793121e-05 -3.007184e-07 4.553466e-10 After 11 iterations the fit converged. final sum of squares of residuals : 605.747 rel. change during last iteration : -1.13334e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151482 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229467 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.659636 +/- 0.0149 (2.259%) b2 = -0.00400404 +/- 0.0005066 (12.65%) c2 = 5.79312e-05 +/- 5.593e-06 (9.655%) d2 = -3.00718e-07 +/- 2.457e-08 (8.172%) e2 = 4.55347e-10 +/- 3.718e-11 (8.164%) 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 17:24:18 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 = 26398 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 1.9899946975e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8830365513e+02 -1.24e-01 1.22e-02 6.500268e-01 -3.998242e-03 5.796473e-05 -3.011567e-07 4.573052e-10 After 11 iterations the fit converged. final sum of squares of residuals : 588.304 rel. change during last iteration : -1.24202e-06 degrees of freedom (FIT_NDF) : 26393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149299 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222901 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.650027 +/- 0.01469 (2.259%) b3 = -0.00399824 +/- 0.0004992 (12.49%) c3 = 5.79647e-05 +/- 5.512e-06 (9.51%) d3 = -3.01157e-07 +/- 2.422e-08 (8.041%) e3 = 4.57305e-10 +/- 3.663e-11 (8.011%) 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 17:24:26 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 = 26400 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 1.9893363748e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0372846357e+02 -1.18e-01 1.22e-02 6.539709e-01 -3.921179e-03 5.737364e-05 -2.991019e-07 4.538218e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.728 rel. change during last iteration : -1.17908e-06 degrees of freedom (FIT_NDF) : 26395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151238 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228728 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.653971 +/- 0.01488 (2.275%) b4 = -0.00392118 +/- 0.0005057 (12.9%) c4 = 5.73736e-05 +/- 5.584e-06 (9.733%) d4 = -2.99102e-07 +/- 2.453e-08 (8.202%) e4 = 4.53822e-10 +/- 3.711e-11 (8.178%) 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 17:24:34 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 = 26403 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 1.9904619233e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8674685430e+02 -1.32e-01 1.22e-02 6.402841e-01 -3.728594e-03 5.505307e-05 -2.882708e-07 4.375063e-10 After 11 iterations the fit converged. final sum of squares of residuals : 586.747 rel. change during last iteration : -1.3234e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222269 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 0.640284 +/- 0.01467 (2.291%) b5 = -0.00372859 +/- 0.0004986 (13.37%) c5 = 5.50531e-05 +/- 5.505e-06 (9.999%) d5 = -2.88271e-07 +/- 2.418e-08 (8.389%) e5 = 4.37506e-10 +/- 3.658e-11 (8.362%) 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 17:24:42 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 = 26394 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 1.9877001656e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0381225796e+02 -1.19e-01 1.22e-02 6.518972e-01 -3.868847e-03 5.695098e-05 -2.979704e-07 4.530452e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.812 rel. change during last iteration : -1.19269e-06 degrees of freedom (FIT_NDF) : 26389 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151265 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228812 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 0.651897 +/- 0.01488 (2.283%) b6 = -0.00386885 +/- 0.0005058 (13.07%) c6 = 5.6951e-05 +/- 5.585e-06 (9.807%) d6 = -2.9797e-07 +/- 2.454e-08 (8.235%) e6 = 4.53045e-10 +/- 3.712e-11 (8.194%) 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 17:24:50 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 = 26417 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 1.9935749287e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8783985564e+02 -1.25e-01 1.22e-02 6.493486e-01 -4.041986e-03 5.863846e-05 -3.039921e-07 4.605907e-10 After 11 iterations the fit converged. final sum of squares of residuals : 587.84 rel. change during last iteration : -1.25234e-06 degrees of freedom (FIT_NDF) : 26412 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149186 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222565 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 0.649349 +/- 0.01468 (2.26%) b7 = -0.00404199 +/- 0.0004989 (12.34%) c7 = 5.86385e-05 +/- 5.509e-06 (9.394%) d7 = -3.03992e-07 +/- 2.42e-08 (7.961%) e7 = 4.60591e-10 +/- 3.661e-11 (7.949%) 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 17:24:58 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 = 26405 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 1.9906894267e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0629872273e+02 -1.13e-01 1.22e-02 6.601474e-01 -4.059403e-03 5.878611e-05 -3.053351e-07 4.633102e-10 After 11 iterations the fit converged. final sum of squares of residuals : 606.299 rel. change during last iteration : -1.13007e-06 degrees of freedom (FIT_NDF) : 26400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229659 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 0.660147 +/- 0.01491 (2.258%) b8 = -0.0040594 +/- 0.0005068 (12.49%) c8 = 5.87861e-05 +/- 5.596e-06 (9.52%) d8 = -3.05335e-07 +/- 2.459e-08 (8.052%) e8 = 4.6331e-10 +/- 3.72e-11 (8.028%) 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 17:25:07 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 = 26412 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 1.9913326280e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.1057758161e+02 -1.11e-01 1.22e-02 6.613114e-01 -4.116196e-03 5.967704e-05 -3.105779e-07 4.730537e-10 After 11 iterations the fit converged. final sum of squares of residuals : 610.578 rel. change during last iteration : -1.11383e-06 degrees of freedom (FIT_NDF) : 26407 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.152059 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0231218 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.661311 +/- 0.01496 (2.262%) b9 = -0.0041162 +/- 0.0005085 (12.35%) c9 = 5.9677e-05 +/- 5.615e-06 (9.409%) d9 = -3.10578e-07 +/- 2.467e-08 (7.943%) e9 = 4.73054e-10 +/- 3.732e-11 (7.89%) 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 17:47:11 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 = 26397 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 1.9887219581e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8815833697e+02 -1.23e-01 1.22e-02 6.507378e-01 -3.950696e-03 5.719726e-05 -2.976259e-07 4.523549e-10 After 11 iterations the fit converged. final sum of squares of residuals : 588.158 rel. change during last iteration : -1.23486e-06 degrees of freedom (FIT_NDF) : 26392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149283 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222855 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 0.650738 +/- 0.01469 (2.257%) b1 = -0.0039507 +/- 0.0004992 (12.64%) c1 = 5.71973e-05 +/- 5.512e-06 (9.637%) d1 = -2.97626e-07 +/- 2.422e-08 (8.136%) e1 = 4.52355e-10 +/- 3.664e-11 (8.099%) 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 17:47:19 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 = 26403 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 1.9896565228e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0574730911e+02 -1.13e-01 1.22e-02 6.596359e-01 -4.004042e-03 5.793121e-05 -3.007184e-07 4.553466e-10 After 11 iterations the fit converged. final sum of squares of residuals : 605.747 rel. change during last iteration : -1.13334e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151482 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229467 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.659636 +/- 0.0149 (2.259%) b2 = -0.00400404 +/- 0.0005066 (12.65%) c2 = 5.79312e-05 +/- 5.593e-06 (9.655%) d2 = -3.00718e-07 +/- 2.457e-08 (8.172%) e2 = 4.55347e-10 +/- 3.718e-11 (8.164%) 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 17:47:28 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 = 26398 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 1.9899946975e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8830365513e+02 -1.24e-01 1.22e-02 6.500268e-01 -3.998242e-03 5.796473e-05 -3.011567e-07 4.573052e-10 After 11 iterations the fit converged. final sum of squares of residuals : 588.304 rel. change during last iteration : -1.24202e-06 degrees of freedom (FIT_NDF) : 26393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149299 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222901 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.650027 +/- 0.01469 (2.259%) b3 = -0.00399824 +/- 0.0004992 (12.49%) c3 = 5.79647e-05 +/- 5.512e-06 (9.51%) d3 = -3.01157e-07 +/- 2.422e-08 (8.041%) e3 = 4.57305e-10 +/- 3.663e-11 (8.011%) 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 17:47:36 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 = 26400 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 1.9893363748e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0372846357e+02 -1.18e-01 1.22e-02 6.539709e-01 -3.921179e-03 5.737364e-05 -2.991019e-07 4.538218e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.728 rel. change during last iteration : -1.17908e-06 degrees of freedom (FIT_NDF) : 26395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151238 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228728 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.653971 +/- 0.01488 (2.275%) b4 = -0.00392118 +/- 0.0005057 (12.9%) c4 = 5.73736e-05 +/- 5.584e-06 (9.733%) d4 = -2.99102e-07 +/- 2.453e-08 (8.202%) e4 = 4.53822e-10 +/- 3.711e-11 (8.178%) 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 17:47:44 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 = 26403 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 1.9904619233e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8674685430e+02 -1.32e-01 1.22e-02 6.402841e-01 -3.728594e-03 5.505307e-05 -2.882708e-07 4.375063e-10 After 11 iterations the fit converged. final sum of squares of residuals : 586.747 rel. change during last iteration : -1.3234e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222269 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 0.640284 +/- 0.01467 (2.291%) b5 = -0.00372859 +/- 0.0004986 (13.37%) c5 = 5.50531e-05 +/- 5.505e-06 (9.999%) d5 = -2.88271e-07 +/- 2.418e-08 (8.389%) e5 = 4.37506e-10 +/- 3.658e-11 (8.362%) 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 17:47:52 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 = 26394 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 1.9877001656e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0381225796e+02 -1.19e-01 1.22e-02 6.518972e-01 -3.868847e-03 5.695098e-05 -2.979704e-07 4.530452e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.812 rel. change during last iteration : -1.19269e-06 degrees of freedom (FIT_NDF) : 26389 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151265 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228812 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 0.651897 +/- 0.01488 (2.283%) b6 = -0.00386885 +/- 0.0005058 (13.07%) c6 = 5.6951e-05 +/- 5.585e-06 (9.807%) d6 = -2.9797e-07 +/- 2.454e-08 (8.235%) e6 = 4.53045e-10 +/- 3.712e-11 (8.194%) 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 17:48:00 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 = 26417 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 1.9935749287e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8783985564e+02 -1.25e-01 1.22e-02 6.493486e-01 -4.041986e-03 5.863846e-05 -3.039921e-07 4.605907e-10 After 11 iterations the fit converged. final sum of squares of residuals : 587.84 rel. change during last iteration : -1.25234e-06 degrees of freedom (FIT_NDF) : 26412 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149186 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222565 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 0.649349 +/- 0.01468 (2.26%) b7 = -0.00404199 +/- 0.0004989 (12.34%) c7 = 5.86385e-05 +/- 5.509e-06 (9.394%) d7 = -3.03992e-07 +/- 2.42e-08 (7.961%) e7 = 4.60591e-10 +/- 3.661e-11 (7.949%) 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 17:48:08 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 = 26405 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 1.9906894267e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0629872273e+02 -1.13e-01 1.22e-02 6.601474e-01 -4.059403e-03 5.878611e-05 -3.053351e-07 4.633102e-10 After 11 iterations the fit converged. final sum of squares of residuals : 606.299 rel. change during last iteration : -1.13007e-06 degrees of freedom (FIT_NDF) : 26400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229659 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 0.660147 +/- 0.01491 (2.258%) b8 = -0.0040594 +/- 0.0005068 (12.49%) c8 = 5.87861e-05 +/- 5.596e-06 (9.52%) d8 = -3.05335e-07 +/- 2.459e-08 (8.052%) e8 = 4.6331e-10 +/- 3.72e-11 (8.028%) 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 17:48:16 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM9.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26399 residuals are weighted equally (unit weight) function used for fitting: f9(x) f9(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 1.9871071754e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0503766210e+02 -1.11e-01 1.22e-02 6.619724e-01 -4.105943e-03 5.934524e-05 -3.083315e-07 4.689329e-10 After 11 iterations the fit converged. final sum of squares of residuals : 605.038 rel. change during last iteration : -1.11432e-06 degrees of freedom (FIT_NDF) : 26394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229233 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.661972 +/- 0.0149 (2.25%) b9 = -0.00410594 +/- 0.0005064 (12.33%) c9 = 5.93452e-05 +/- 5.592e-06 (9.422%) d9 = -3.08331e-07 +/- 2.457e-08 (7.968%) e9 = 4.68933e-10 +/- 3.717e-11 (7.927%) 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 17:48:24 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM10.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26406 residuals are weighted equally (unit weight) function used for fitting: f10(x) f10(x) = a10 + b10*x +c10*x**2+d10*x**3 +e10*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a10 b10 c10 d10 e10 0 1.9907008248e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0373604769e+02 -1.19e-01 1.22e-02 6.531899e-01 -3.918650e-03 5.754573e-05 -3.007368e-07 4.575328e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.736 rel. change during last iteration : -1.18635e-06 degrees of freedom (FIT_NDF) : 26401 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151221 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228679 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 0.65319 +/- 0.01487 (2.277%) b10 = -0.00391865 +/- 0.0005057 (12.9%) c10 = 5.75457e-05 +/- 5.583e-06 (9.702%) d10 = -3.00737e-07 +/- 2.453e-08 (8.155%) e10 = 4.57533e-10 +/- 3.71e-11 (8.109%) correlation matrix of the fit parameters: a10 b10 c10 d10 e10 a10 1.000 b10 -0.975 1.000 c10 0.933 -0.987 1.000 d10 -0.889 0.961 -0.992 1.000 e10 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:48:32 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM11.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26402 residuals are weighted equally (unit weight) function used for fitting: f11(x) f11(x) = a11 + b11*x +c11*x**2+d11*x**3 +e11*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a11 b11 c11 d11 e11 0 1.9903509590e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0430666897e+02 -1.14e-01 1.22e-02 6.586459e-01 -4.118285e-03 5.991630e-05 -3.116548e-07 4.744532e-10 After 11 iterations the fit converged. final sum of squares of residuals : 604.307 rel. change during last iteration : -1.14426e-06 degrees of freedom (FIT_NDF) : 26397 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151304 variance of residuals (reduced chisquare) = WSSR/ndf : 0.022893 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 0.658646 +/- 0.01488 (2.26%) b11 = -0.00411828 +/- 0.0005059 (12.29%) c11 = 5.99163e-05 +/- 5.586e-06 (9.323%) d11 = -3.11655e-07 +/- 2.454e-08 (7.874%) e11 = 4.74453e-10 +/- 3.713e-11 (7.825%) correlation matrix of the fit parameters: a11 b11 c11 d11 e11 a11 1.000 b11 -0.975 1.000 c11 0.933 -0.987 1.000 d11 -0.889 0.961 -0.992 1.000 e11 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:48:41 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM12.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26415 residuals are weighted equally (unit weight) function used for fitting: f12(x) f12(x) = a12 + b12*x +c12*x**2+d12*x**3 +e12*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a12 b12 c12 d12 e12 0 1.9922607184e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0981249560e+02 -1.12e-01 1.22e-02 6.611738e-01 -4.109524e-03 5.955833e-05 -3.097836e-07 4.714726e-10 After 11 iterations the fit converged. final sum of squares of residuals : 609.812 rel. change during last iteration : -1.11728e-06 degrees of freedom (FIT_NDF) : 26410 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0230902 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 0.661174 +/- 0.01495 (2.261%) b12 = -0.00410952 +/- 0.0005082 (12.37%) c12 = 5.95583e-05 +/- 5.611e-06 (9.421%) d12 = -3.09784e-07 +/- 2.465e-08 (7.958%) e12 = 4.71473e-10 +/- 3.729e-11 (7.91%) correlation matrix of the fit parameters: a12 b12 c12 d12 e12 a12 1.000 b12 -0.975 1.000 c12 0.933 -0.987 1.000 d12 -0.889 0.961 -0.992 1.000 e12 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:48:49 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 = 26412 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 6.1059761690e+02 0.00e+00 1.95e+00 6.619724e-01 -4.105943e-03 5.934524e-05 -3.083315e-07 4.689329e-10 2 6.1057758178e+02 -1.22e-02 1.95e-02 6.612726e-01 -4.114806e-03 5.966150e-05 -3.105101e-07 4.729529e-10 After 2 iterations the fit converged. final sum of squares of residuals : 610.578 rel. change during last iteration : -1.21782e-07 degrees of freedom (FIT_NDF) : 26407 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.152059 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0231218 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.661273 +/- 0.01496 (2.262%) b9 = -0.00411481 +/- 0.0005085 (12.36%) c9 = 5.96615e-05 +/- 5.615e-06 (9.412%) d9 = -3.1051e-07 +/- 2.467e-08 (7.945%) e9 = 4.72953e-10 +/- 3.732e-11 (7.891%) 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 17:50:08 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 = 26397 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 1.9887219581e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8815833697e+02 -1.23e-01 1.22e-02 6.507378e-01 -3.950696e-03 5.719726e-05 -2.976259e-07 4.523549e-10 After 11 iterations the fit converged. final sum of squares of residuals : 588.158 rel. change during last iteration : -1.23486e-06 degrees of freedom (FIT_NDF) : 26392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149283 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222855 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 0.650738 +/- 0.01469 (2.257%) b1 = -0.0039507 +/- 0.0004992 (12.64%) c1 = 5.71973e-05 +/- 5.512e-06 (9.637%) d1 = -2.97626e-07 +/- 2.422e-08 (8.136%) e1 = 4.52355e-10 +/- 3.664e-11 (8.099%) 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 17:50:16 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 = 26403 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 1.9896565228e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0574730911e+02 -1.13e-01 1.22e-02 6.596359e-01 -4.004042e-03 5.793121e-05 -3.007184e-07 4.553466e-10 After 11 iterations the fit converged. final sum of squares of residuals : 605.747 rel. change during last iteration : -1.13334e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151482 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229467 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.659636 +/- 0.0149 (2.259%) b2 = -0.00400404 +/- 0.0005066 (12.65%) c2 = 5.79312e-05 +/- 5.593e-06 (9.655%) d2 = -3.00718e-07 +/- 2.457e-08 (8.172%) e2 = 4.55347e-10 +/- 3.718e-11 (8.164%) 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 17:50:24 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 = 26398 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 1.9899946975e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8830365513e+02 -1.24e-01 1.22e-02 6.500268e-01 -3.998242e-03 5.796473e-05 -3.011567e-07 4.573052e-10 After 11 iterations the fit converged. final sum of squares of residuals : 588.304 rel. change during last iteration : -1.24202e-06 degrees of freedom (FIT_NDF) : 26393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149299 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222901 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.650027 +/- 0.01469 (2.259%) b3 = -0.00399824 +/- 0.0004992 (12.49%) c3 = 5.79647e-05 +/- 5.512e-06 (9.51%) d3 = -3.01157e-07 +/- 2.422e-08 (8.041%) e3 = 4.57305e-10 +/- 3.663e-11 (8.011%) 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 17:50:32 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 = 26400 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 1.9893363748e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0372846357e+02 -1.18e-01 1.22e-02 6.539709e-01 -3.921179e-03 5.737364e-05 -2.991019e-07 4.538218e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.728 rel. change during last iteration : -1.17908e-06 degrees of freedom (FIT_NDF) : 26395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151238 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228728 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.653971 +/- 0.01488 (2.275%) b4 = -0.00392118 +/- 0.0005057 (12.9%) c4 = 5.73736e-05 +/- 5.584e-06 (9.733%) d4 = -2.99102e-07 +/- 2.453e-08 (8.202%) e4 = 4.53822e-10 +/- 3.711e-11 (8.178%) 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 17:50:40 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 = 26403 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 1.9904619233e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8674685430e+02 -1.32e-01 1.22e-02 6.402841e-01 -3.728594e-03 5.505307e-05 -2.882708e-07 4.375063e-10 After 11 iterations the fit converged. final sum of squares of residuals : 586.747 rel. change during last iteration : -1.3234e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222269 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 0.640284 +/- 0.01467 (2.291%) b5 = -0.00372859 +/- 0.0004986 (13.37%) c5 = 5.50531e-05 +/- 5.505e-06 (9.999%) d5 = -2.88271e-07 +/- 2.418e-08 (8.389%) e5 = 4.37506e-10 +/- 3.658e-11 (8.362%) 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 17:50:48 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 = 26394 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 1.9877001656e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0381225796e+02 -1.19e-01 1.22e-02 6.518972e-01 -3.868847e-03 5.695098e-05 -2.979704e-07 4.530452e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.812 rel. change during last iteration : -1.19269e-06 degrees of freedom (FIT_NDF) : 26389 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151265 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228812 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 0.651897 +/- 0.01488 (2.283%) b6 = -0.00386885 +/- 0.0005058 (13.07%) c6 = 5.6951e-05 +/- 5.585e-06 (9.807%) d6 = -2.9797e-07 +/- 2.454e-08 (8.235%) e6 = 4.53045e-10 +/- 3.712e-11 (8.194%) 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 17:50:56 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 = 26417 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 1.9935749287e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8783985564e+02 -1.25e-01 1.22e-02 6.493486e-01 -4.041986e-03 5.863846e-05 -3.039921e-07 4.605907e-10 After 11 iterations the fit converged. final sum of squares of residuals : 587.84 rel. change during last iteration : -1.25234e-06 degrees of freedom (FIT_NDF) : 26412 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149186 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222565 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 0.649349 +/- 0.01468 (2.26%) b7 = -0.00404199 +/- 0.0004989 (12.34%) c7 = 5.86385e-05 +/- 5.509e-06 (9.394%) d7 = -3.03992e-07 +/- 2.42e-08 (7.961%) e7 = 4.60591e-10 +/- 3.661e-11 (7.949%) 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 17:51:04 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 = 26405 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 1.9906894267e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0629872273e+02 -1.13e-01 1.22e-02 6.601474e-01 -4.059403e-03 5.878611e-05 -3.053351e-07 4.633102e-10 After 11 iterations the fit converged. final sum of squares of residuals : 606.299 rel. change during last iteration : -1.13007e-06 degrees of freedom (FIT_NDF) : 26400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229659 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 0.660147 +/- 0.01491 (2.258%) b8 = -0.0040594 +/- 0.0005068 (12.49%) c8 = 5.87861e-05 +/- 5.596e-06 (9.52%) d8 = -3.05335e-07 +/- 2.459e-08 (8.052%) e8 = 4.6331e-10 +/- 3.72e-11 (8.028%) 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 17:51:12 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM9.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26399 residuals are weighted equally (unit weight) function used for fitting: f9(x) f9(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 1.9871071754e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0503766210e+02 -1.11e-01 1.22e-02 6.619724e-01 -4.105943e-03 5.934524e-05 -3.083315e-07 4.689329e-10 After 11 iterations the fit converged. final sum of squares of residuals : 605.038 rel. change during last iteration : -1.11432e-06 degrees of freedom (FIT_NDF) : 26394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229233 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.661972 +/- 0.0149 (2.25%) b9 = -0.00410594 +/- 0.0005064 (12.33%) c9 = 5.93452e-05 +/- 5.592e-06 (9.422%) d9 = -3.08331e-07 +/- 2.457e-08 (7.968%) e9 = 4.68933e-10 +/- 3.717e-11 (7.927%) 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 17:51:20 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM10.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26406 residuals are weighted equally (unit weight) function used for fitting: f10(x) f10(x) = a10 + b10*x +c10*x**2+d10*x**3 +e10*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a10 b10 c10 d10 e10 0 1.9907008248e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0373604769e+02 -1.19e-01 1.22e-02 6.531899e-01 -3.918650e-03 5.754573e-05 -3.007368e-07 4.575328e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.736 rel. change during last iteration : -1.18635e-06 degrees of freedom (FIT_NDF) : 26401 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151221 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228679 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 0.65319 +/- 0.01487 (2.277%) b10 = -0.00391865 +/- 0.0005057 (12.9%) c10 = 5.75457e-05 +/- 5.583e-06 (9.702%) d10 = -3.00737e-07 +/- 2.453e-08 (8.155%) e10 = 4.57533e-10 +/- 3.71e-11 (8.109%) correlation matrix of the fit parameters: a10 b10 c10 d10 e10 a10 1.000 b10 -0.975 1.000 c10 0.933 -0.987 1.000 d10 -0.889 0.961 -0.992 1.000 e10 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:51:28 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM11.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26402 residuals are weighted equally (unit weight) function used for fitting: f11(x) f11(x) = a11 + b11*x +c11*x**2+d11*x**3 +e11*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a11 b11 c11 d11 e11 0 1.9903509590e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0430666897e+02 -1.14e-01 1.22e-02 6.586459e-01 -4.118285e-03 5.991630e-05 -3.116548e-07 4.744532e-10 After 11 iterations the fit converged. final sum of squares of residuals : 604.307 rel. change during last iteration : -1.14426e-06 degrees of freedom (FIT_NDF) : 26397 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151304 variance of residuals (reduced chisquare) = WSSR/ndf : 0.022893 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 0.658646 +/- 0.01488 (2.26%) b11 = -0.00411828 +/- 0.0005059 (12.29%) c11 = 5.99163e-05 +/- 5.586e-06 (9.323%) d11 = -3.11655e-07 +/- 2.454e-08 (7.874%) e11 = 4.74453e-10 +/- 3.713e-11 (7.825%) correlation matrix of the fit parameters: a11 b11 c11 d11 e11 a11 1.000 b11 -0.975 1.000 c11 0.933 -0.987 1.000 d11 -0.889 0.961 -0.992 1.000 e11 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:51:36 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM12.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26415 residuals are weighted equally (unit weight) function used for fitting: f12(x) f12(x) = a12 + b12*x +c12*x**2+d12*x**3 +e12*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a12 b12 c12 d12 e12 0 1.9922607184e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0981249560e+02 -1.12e-01 1.22e-02 6.611738e-01 -4.109524e-03 5.955833e-05 -3.097836e-07 4.714726e-10 After 11 iterations the fit converged. final sum of squares of residuals : 609.812 rel. change during last iteration : -1.11728e-06 degrees of freedom (FIT_NDF) : 26410 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0230902 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 0.661174 +/- 0.01495 (2.261%) b12 = -0.00410952 +/- 0.0005082 (12.37%) c12 = 5.95583e-05 +/- 5.611e-06 (9.421%) d12 = -3.09784e-07 +/- 2.465e-08 (7.958%) e12 = 4.71473e-10 +/- 3.729e-11 (7.91%) correlation matrix of the fit parameters: a12 b12 c12 d12 e12 a12 1.000 b12 -0.975 1.000 c12 0.933 -0.987 1.000 d12 -0.889 0.961 -0.992 1.000 e12 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:51:44 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 = 26412 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 6.1059761690e+02 0.00e+00 1.95e+00 6.619724e-01 -4.105943e-03 5.934524e-05 -3.083315e-07 4.689329e-10 2 6.1057758178e+02 -1.22e-02 1.95e-02 6.612726e-01 -4.114806e-03 5.966150e-05 -3.105101e-07 4.729529e-10 After 2 iterations the fit converged. final sum of squares of residuals : 610.578 rel. change during last iteration : -1.21782e-07 degrees of freedom (FIT_NDF) : 26407 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.152059 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0231218 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.661273 +/- 0.01496 (2.262%) b9 = -0.00411481 +/- 0.0005085 (12.36%) c9 = 5.96615e-05 +/- 5.615e-06 (9.412%) d9 = -3.1051e-07 +/- 2.467e-08 (7.945%) e9 = 4.72953e-10 +/- 3.732e-11 (7.891%) 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 17:53:16 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 = 26397 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 1.9887219581e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8815833697e+02 -1.23e-01 1.22e-02 6.507378e-01 -3.950696e-03 5.719726e-05 -2.976259e-07 4.523549e-10 After 11 iterations the fit converged. final sum of squares of residuals : 588.158 rel. change during last iteration : -1.23486e-06 degrees of freedom (FIT_NDF) : 26392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149283 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222855 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 0.650738 +/- 0.01469 (2.257%) b1 = -0.0039507 +/- 0.0004992 (12.64%) c1 = 5.71973e-05 +/- 5.512e-06 (9.637%) d1 = -2.97626e-07 +/- 2.422e-08 (8.136%) e1 = 4.52355e-10 +/- 3.664e-11 (8.099%) 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 17:53:24 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 = 26403 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 1.9896565228e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0574730911e+02 -1.13e-01 1.22e-02 6.596359e-01 -4.004042e-03 5.793121e-05 -3.007184e-07 4.553466e-10 After 11 iterations the fit converged. final sum of squares of residuals : 605.747 rel. change during last iteration : -1.13334e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151482 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229467 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.659636 +/- 0.0149 (2.259%) b2 = -0.00400404 +/- 0.0005066 (12.65%) c2 = 5.79312e-05 +/- 5.593e-06 (9.655%) d2 = -3.00718e-07 +/- 2.457e-08 (8.172%) e2 = 4.55347e-10 +/- 3.718e-11 (8.164%) 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 17:53:32 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 = 26398 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 1.9899946975e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8830365513e+02 -1.24e-01 1.22e-02 6.500268e-01 -3.998242e-03 5.796473e-05 -3.011567e-07 4.573052e-10 After 11 iterations the fit converged. final sum of squares of residuals : 588.304 rel. change during last iteration : -1.24202e-06 degrees of freedom (FIT_NDF) : 26393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149299 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222901 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.650027 +/- 0.01469 (2.259%) b3 = -0.00399824 +/- 0.0004992 (12.49%) c3 = 5.79647e-05 +/- 5.512e-06 (9.51%) d3 = -3.01157e-07 +/- 2.422e-08 (8.041%) e3 = 4.57305e-10 +/- 3.663e-11 (8.011%) 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 17:53:40 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 = 26400 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 1.9893363748e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0372846357e+02 -1.18e-01 1.22e-02 6.539709e-01 -3.921179e-03 5.737364e-05 -2.991019e-07 4.538218e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.728 rel. change during last iteration : -1.17908e-06 degrees of freedom (FIT_NDF) : 26395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151238 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228728 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.653971 +/- 0.01488 (2.275%) b4 = -0.00392118 +/- 0.0005057 (12.9%) c4 = 5.73736e-05 +/- 5.584e-06 (9.733%) d4 = -2.99102e-07 +/- 2.453e-08 (8.202%) e4 = 4.53822e-10 +/- 3.711e-11 (8.178%) 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 17:53:49 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 = 26403 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 1.9904619233e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8674685430e+02 -1.32e-01 1.22e-02 6.402841e-01 -3.728594e-03 5.505307e-05 -2.882708e-07 4.375063e-10 After 11 iterations the fit converged. final sum of squares of residuals : 586.747 rel. change during last iteration : -1.3234e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222269 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 0.640284 +/- 0.01467 (2.291%) b5 = -0.00372859 +/- 0.0004986 (13.37%) c5 = 5.50531e-05 +/- 5.505e-06 (9.999%) d5 = -2.88271e-07 +/- 2.418e-08 (8.389%) e5 = 4.37506e-10 +/- 3.658e-11 (8.362%) 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 17:53:57 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 = 26394 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 1.9877001656e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0381225796e+02 -1.19e-01 1.22e-02 6.518972e-01 -3.868847e-03 5.695098e-05 -2.979704e-07 4.530452e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.812 rel. change during last iteration : -1.19269e-06 degrees of freedom (FIT_NDF) : 26389 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151265 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228812 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 0.651897 +/- 0.01488 (2.283%) b6 = -0.00386885 +/- 0.0005058 (13.07%) c6 = 5.6951e-05 +/- 5.585e-06 (9.807%) d6 = -2.9797e-07 +/- 2.454e-08 (8.235%) e6 = 4.53045e-10 +/- 3.712e-11 (8.194%) 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 17:54:05 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 = 26417 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 1.9935749287e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 5.8783985564e+02 -1.25e-01 1.22e-02 6.493486e-01 -4.041986e-03 5.863846e-05 -3.039921e-07 4.605907e-10 After 11 iterations the fit converged. final sum of squares of residuals : 587.84 rel. change during last iteration : -1.25234e-06 degrees of freedom (FIT_NDF) : 26412 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149186 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0222565 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 0.649349 +/- 0.01468 (2.26%) b7 = -0.00404199 +/- 0.0004989 (12.34%) c7 = 5.86385e-05 +/- 5.509e-06 (9.394%) d7 = -3.03992e-07 +/- 2.42e-08 (7.961%) e7 = 4.60591e-10 +/- 3.661e-11 (7.949%) 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 17:54:13 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 = 26405 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 1.9906894267e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0629872273e+02 -1.13e-01 1.22e-02 6.601474e-01 -4.059403e-03 5.878611e-05 -3.053351e-07 4.633102e-10 After 11 iterations the fit converged. final sum of squares of residuals : 606.299 rel. change during last iteration : -1.13007e-06 degrees of freedom (FIT_NDF) : 26400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229659 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 0.660147 +/- 0.01491 (2.258%) b8 = -0.0040594 +/- 0.0005068 (12.49%) c8 = 5.87861e-05 +/- 5.596e-06 (9.52%) d8 = -3.05335e-07 +/- 2.459e-08 (8.052%) e8 = 4.6331e-10 +/- 3.72e-11 (8.028%) 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 17:54:21 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM9.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26399 residuals are weighted equally (unit weight) function used for fitting: f9(x) f9(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 1.9871071754e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0503766210e+02 -1.11e-01 1.22e-02 6.619724e-01 -4.105943e-03 5.934524e-05 -3.083315e-07 4.689329e-10 After 11 iterations the fit converged. final sum of squares of residuals : 605.038 rel. change during last iteration : -1.11432e-06 degrees of freedom (FIT_NDF) : 26394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229233 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.661972 +/- 0.0149 (2.25%) b9 = -0.00410594 +/- 0.0005064 (12.33%) c9 = 5.93452e-05 +/- 5.592e-06 (9.422%) d9 = -3.08331e-07 +/- 2.457e-08 (7.968%) e9 = 4.68933e-10 +/- 3.717e-11 (7.927%) 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 17:54:29 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM10.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26406 residuals are weighted equally (unit weight) function used for fitting: f10(x) f10(x) = a10 + b10*x +c10*x**2+d10*x**3 +e10*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a10 b10 c10 d10 e10 0 1.9907008248e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0373604769e+02 -1.19e-01 1.22e-02 6.531899e-01 -3.918650e-03 5.754573e-05 -3.007368e-07 4.575328e-10 After 11 iterations the fit converged. final sum of squares of residuals : 603.736 rel. change during last iteration : -1.18635e-06 degrees of freedom (FIT_NDF) : 26401 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151221 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0228679 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 0.65319 +/- 0.01487 (2.277%) b10 = -0.00391865 +/- 0.0005057 (12.9%) c10 = 5.75457e-05 +/- 5.583e-06 (9.702%) d10 = -3.00737e-07 +/- 2.453e-08 (8.155%) e10 = 4.57533e-10 +/- 3.71e-11 (8.109%) correlation matrix of the fit parameters: a10 b10 c10 d10 e10 a10 1.000 b10 -0.975 1.000 c10 0.933 -0.987 1.000 d10 -0.889 0.961 -0.992 1.000 e10 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:54:37 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM11.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26402 residuals are weighted equally (unit weight) function used for fitting: f11(x) f11(x) = a11 + b11*x +c11*x**2+d11*x**3 +e11*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a11 b11 c11 d11 e11 0 1.9903509590e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0430666897e+02 -1.14e-01 1.22e-02 6.586459e-01 -4.118285e-03 5.991630e-05 -3.116548e-07 4.744532e-10 After 11 iterations the fit converged. final sum of squares of residuals : 604.307 rel. change during last iteration : -1.14426e-06 degrees of freedom (FIT_NDF) : 26397 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151304 variance of residuals (reduced chisquare) = WSSR/ndf : 0.022893 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 0.658646 +/- 0.01488 (2.26%) b11 = -0.00411828 +/- 0.0005059 (12.29%) c11 = 5.99163e-05 +/- 5.586e-06 (9.323%) d11 = -3.11655e-07 +/- 2.454e-08 (7.874%) e11 = 4.74453e-10 +/- 3.713e-11 (7.825%) correlation matrix of the fit parameters: a11 b11 c11 d11 e11 a11 1.000 b11 -0.975 1.000 c11 0.933 -0.987 1.000 d11 -0.889 0.961 -0.992 1.000 e11 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:54:45 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM12.dat' u ($1/100.):($15**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26415 residuals are weighted equally (unit weight) function used for fitting: f12(x) f12(x) = a12 + b12*x +c12*x**2+d12*x**3 +e12*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a12 b12 c12 d12 e12 0 1.9922607184e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 6.0981249560e+02 -1.12e-01 1.22e-02 6.611738e-01 -4.109524e-03 5.955833e-05 -3.097836e-07 4.714726e-10 After 11 iterations the fit converged. final sum of squares of residuals : 609.812 rel. change during last iteration : -1.11728e-06 degrees of freedom (FIT_NDF) : 26410 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0230902 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 0.661174 +/- 0.01495 (2.261%) b12 = -0.00410952 +/- 0.0005082 (12.37%) c12 = 5.95583e-05 +/- 5.611e-06 (9.421%) d12 = -3.09784e-07 +/- 2.465e-08 (7.958%) e12 = 4.71473e-10 +/- 3.729e-11 (7.91%) correlation matrix of the fit parameters: a12 b12 c12 d12 e12 a12 1.000 b12 -0.975 1.000 c12 0.933 -0.987 1.000 d12 -0.889 0.961 -0.992 1.000 e12 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 17:54:53 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 = 26412 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 6.1059761690e+02 0.00e+00 1.95e+00 6.619724e-01 -4.105943e-03 5.934524e-05 -3.083315e-07 4.689329e-10 2 6.1057758178e+02 -1.22e-02 1.95e-02 6.612726e-01 -4.114806e-03 5.966150e-05 -3.105101e-07 4.729529e-10 After 2 iterations the fit converged. final sum of squares of residuals : 610.578 rel. change during last iteration : -1.21782e-07 degrees of freedom (FIT_NDF) : 26407 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.152059 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0231218 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 0.661273 +/- 0.01496 (2.262%) b9 = -0.00411481 +/- 0.0005085 (12.36%) c9 = 5.96615e-05 +/- 5.615e-06 (9.412%) d9 = -3.1051e-07 +/- 2.467e-08 (7.945%) e9 = 4.72953e-10 +/- 3.732e-11 (7.891%) 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 18:02:47 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM1.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26397 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 1.9887219513e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8184666533e+05 -4.59e-01 1.22e-02 1.430911e+01 -8.999942e-02 1.296343e-03 -6.714583e-06 1.019948e-08 After 11 iterations the fit converged. final sum of squares of residuals : 281847 rel. change during last iteration : -4.58633e-06 degrees of freedom (FIT_NDF) : 26392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.26791 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6792 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 14.3091 +/- 0.3215 (2.247%) b1 = -0.0899994 +/- 0.01093 (12.14%) c1 = 0.00129634 +/- 0.0001207 (9.308%) d1 = -6.71458e-06 +/- 5.301e-07 (7.895%) e1 = 1.01995e-08 +/- 8.02e-10 (7.863%) 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 18:02:55 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM2.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26403 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 1.9896565161e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7984910448e+05 -4.55e-01 1.22e-02 1.420131e+01 -8.885513e-02 1.283137e-03 -6.658994e-06 1.012613e-08 After 11 iterations the fit converged. final sum of squares of residuals : 279849 rel. change during last iteration : -4.54816e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25594 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6011 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 14.2013 +/- 0.3203 (2.255%) b2 = -0.0888551 +/- 0.01089 (12.25%) c2 = 0.00128314 +/- 0.0001202 (9.37%) d2 = -6.65899e-06 +/- 5.282e-07 (7.932%) e2 = 1.01261e-08 +/- 7.991e-10 (7.891%) 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 18:03:03 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM3.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26398 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 1.9899946907e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8073819615e+05 -4.55e-01 1.22e-02 1.421921e+01 -8.395773e-02 1.212954e-03 -6.293671e-06 9.492735e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280738 rel. change during last iteration : -4.54949e-06 degrees of freedom (FIT_NDF) : 26393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.26142 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6368 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 14.2192 +/- 0.3208 (2.256%) b3 = -0.0839577 +/- 0.01091 (12.99%) c3 = 0.00121295 +/- 0.0001204 (9.927%) d3 = -6.29367e-06 +/- 5.29e-07 (8.405%) e3 = 9.49273e-09 +/- 8.003e-10 (8.43%) 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 18:03:11 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM4.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26400 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 1.9893363681e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7849547254e+05 -4.59e-01 1.22e-02 1.423705e+01 -8.682651e-02 1.243729e-03 -6.422287e-06 9.680008e-09 After 11 iterations the fit converged. final sum of squares of residuals : 278495 rel. change during last iteration : -4.59351e-06 degrees of freedom (FIT_NDF) : 26395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24824 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5511 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 14.2371 +/- 0.3195 (2.244%) b4 = -0.0868265 +/- 0.01086 (12.51%) c4 = 0.00124373 +/- 0.0001199 (9.643%) d4 = -6.42229e-06 +/- 5.269e-07 (8.204%) e4 = 9.68001e-09 +/- 7.971e-10 (8.235%) 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 18:03:19 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM5.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26403 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 1.9904619166e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8236648038e+05 -4.60e-01 1.22e-02 1.433376e+01 -8.683608e-02 1.247042e-03 -6.466670e-06 9.786790e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282366 rel. change during last iteration : -4.6029e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27055 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6965 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 14.3338 +/- 0.3217 (2.245%) b5 = -0.0868361 +/- 0.01094 (12.59%) c5 = 0.00124704 +/- 0.0001208 (9.683%) d5 = -6.46667e-06 +/- 5.305e-07 (8.204%) e5 = 9.78679e-09 +/- 8.025e-10 (8.2%) 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 18:03:27 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM6.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26394 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 1.9877001589e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7821872168e+05 -4.58e-01 1.22e-02 1.421810e+01 -8.515172e-02 1.223710e-03 -6.345021e-06 9.589561e-09 After 11 iterations the fit converged. final sum of squares of residuals : 278219 rel. change during last iteration : -4.57761e-06 degrees of freedom (FIT_NDF) : 26389 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.247 variance of residuals (reduced chisquare) = WSSR/ndf : 10.543 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 14.2181 +/- 0.3194 (2.246%) b6 = -0.0851517 +/- 0.01086 (12.75%) c6 = 0.00122371 +/- 0.0001199 (9.797%) d6 = -6.34502e-06 +/- 5.267e-07 (8.301%) e6 = 9.58956e-09 +/- 7.968e-10 (8.309%) 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 18:03:35 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM7.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26417 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 1.9935749219e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8325530740e+05 -4.64e-01 1.22e-02 1.438544e+01 -8.986494e-02 1.286377e-03 -6.651928e-06 1.007436e-08 After 11 iterations the fit converged. final sum of squares of residuals : 283255 rel. change during last iteration : -4.63797e-06 degrees of freedom (FIT_NDF) : 26412 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27483 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7245 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 14.3854 +/- 0.3222 (2.239%) b7 = -0.0898649 +/- 0.01095 (12.19%) c7 = 0.00128638 +/- 0.0001209 (9.4%) d7 = -6.65193e-06 +/- 5.313e-07 (7.986%) e7 = 1.00744e-08 +/- 8.037e-10 (7.978%) 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 18:03:43 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM8.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26405 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 1.9906894200e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7910147061e+05 -4.62e-01 1.22e-02 1.428123e+01 -8.955365e-02 1.282813e-03 -6.629516e-06 1.003975e-08 After 11 iterations the fit converged. final sum of squares of residuals : 279101 rel. change during last iteration : -4.62191e-06 degrees of freedom (FIT_NDF) : 26400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25147 variance of residuals (reduced chisquare) = WSSR/ndf : 10.572 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 14.2812 +/- 0.3199 (2.24%) b8 = -0.0895536 +/- 0.01087 (12.14%) c8 = 0.00128281 +/- 0.0001201 (9.36%) d8 = -6.62952e-06 +/- 5.275e-07 (7.957%) e8 = 1.00397e-08 +/- 7.98e-10 (7.949%) 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 18:03:51 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM9.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26399 residuals are weighted equally (unit weight) function used for fitting: f9(x) f9(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 1.9871071687e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7459252677e+05 -4.62e-01 1.22e-02 1.419269e+01 -9.240840e-02 1.324183e-03 -6.849718e-06 1.044076e-08 After 11 iterations the fit converged. final sum of squares of residuals : 274593 rel. change during last iteration : -4.61633e-06 degrees of freedom (FIT_NDF) : 26394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22546 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4036 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 14.1927 +/- 0.3173 (2.236%) b9 = -0.0924084 +/- 0.01079 (11.67%) c9 = 0.00132418 +/- 0.0001191 (8.996%) d9 = -6.84972e-06 +/- 5.234e-07 (7.641%) e9 = 1.04408e-08 +/- 7.919e-10 (7.584%) 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 18:03:59 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM10.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26406 residuals are weighted equally (unit weight) function used for fitting: f10(x) f10(x) = a10 + b10*x +c10*x**2+d10*x**3 +e10*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a10 b10 c10 d10 e10 0 1.9907008182e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7500676059e+05 -4.58e-01 1.22e-02 1.412006e+01 -8.624720e-02 1.237743e-03 -6.416843e-06 9.722759e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275007 rel. change during last iteration : -4.57546e-06 degrees of freedom (FIT_NDF) : 26401 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22746 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4165 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 14.1201 +/- 0.3175 (2.248%) b10 = -0.0862472 +/- 0.01079 (12.51%) c10 = 0.00123774 +/- 0.0001192 (9.627%) d10 = -6.41684e-06 +/- 5.235e-07 (8.157%) e10 = 9.72276e-09 +/- 7.919e-10 (8.144%) correlation matrix of the fit parameters: a10 b10 c10 d10 e10 a10 1.000 b10 -0.975 1.000 c10 0.933 -0.987 1.000 d10 -0.889 0.961 -0.992 1.000 e10 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:04:07 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM11.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26402 residuals are weighted equally (unit weight) function used for fitting: f11(x) f11(x) = a11 + b11*x +c11*x**2+d11*x**3 +e11*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a11 b11 c11 d11 e11 0 1.9903509523e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7985059247e+05 -4.59e-01 1.22e-02 1.426195e+01 -8.763219e-02 1.255809e-03 -6.502311e-06 9.846811e-09 After 11 iterations the fit converged. final sum of squares of residuals : 279851 rel. change during last iteration : -4.59353e-06 degrees of freedom (FIT_NDF) : 26397 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25601 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6016 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 14.2619 +/- 0.3203 (2.246%) b11 = -0.0876322 +/- 0.01089 (12.42%) c11 = 0.00125581 +/- 0.0001202 (9.572%) d11 = -6.50231e-06 +/- 5.281e-07 (8.122%) e11 = 9.84681e-09 +/- 7.989e-10 (8.114%) correlation matrix of the fit parameters: a11 b11 c11 d11 e11 a11 1.000 b11 -0.975 1.000 c11 0.933 -0.987 1.000 d11 -0.889 0.961 -0.992 1.000 e11 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:04:15 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM12.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26415 residuals are weighted equally (unit weight) function used for fitting: f12(x) f12(x) = a12 + b12*x +c12*x**2+d12*x**3 +e12*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a12 b12 c12 d12 e12 0 1.9922607117e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7357935962e+05 -4.57e-01 1.22e-02 1.406712e+01 -8.673844e-02 1.250218e-03 -6.480317e-06 9.822722e-09 After 11 iterations the fit converged. final sum of squares of residuals : 273579 rel. change during last iteration : -4.56977e-06 degrees of freedom (FIT_NDF) : 26410 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.21853 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3589 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 14.0671 +/- 0.3166 (2.251%) b12 = -0.0867384 +/- 0.01076 (12.41%) c12 = 0.00125022 +/- 0.0001188 (9.506%) d12 = -6.48032e-06 +/- 5.221e-07 (8.057%) e12 = 9.82272e-09 +/- 7.899e-10 (8.042%) correlation matrix of the fit parameters: a12 b12 c12 d12 e12 a12 1.000 b12 -0.975 1.000 c12 0.933 -0.987 1.000 d12 -0.889 0.961 -0.992 1.000 e12 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:04:23 2020 FIT: data read from 'Time_Dep_Moments_at_END.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26412 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 2.7405147333e+05 0.00e+00 4.33e+01 1.419269e+01 -9.240840e-02 1.324183e-03 -6.849718e-06 1.044076e-08 3 2.7403883224e+05 -3.28e-03 4.33e-02 1.406469e+01 -8.673093e-02 1.251816e-03 -6.497326e-06 9.862043e-09 After 3 iterations the fit converged. final sum of squares of residuals : 274039 rel. change during last iteration : -3.27885e-08 degrees of freedom (FIT_NDF) : 26407 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22141 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3775 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 14.0647 +/- 0.3169 (2.253%) b9 = -0.0867309 +/- 0.01077 (12.42%) c9 = 0.00125182 +/- 0.000119 (9.503%) d9 = -6.49733e-06 +/- 5.226e-07 (8.044%) e9 = 9.86204e-09 +/- 7.907e-10 (8.017%) 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 18:05:08 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM1.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26397 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 1.9887219513e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1 4.4584454597e+16 -4.46e+11 1.22e+08 1.000000e+00 9.999980e-01 9.997123e-01 9.656329e-01 -3.648911e-03 The fit was stopped by the user after 1 iterations. final sum of squares of residuals : 4.45845e+16 rel. change during last iteration : -4.46057e+06 degrees of freedom (FIT_NDF) : 26392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.29974e+06 variance of residuals (reduced chisquare) = WSSR/ndf : 1.68932e+12 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 1 +/- 1.279e+05 (1.279e+07%) b1 = 0.999998 +/- 4347 (4.347e+05%) c1 = 0.999712 +/- 47.99 (4800%) d1 = 0.965633 +/- 0.2108 (21.83%) e1 = -0.00364891 +/- 0.000319 (8.741%) 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 18:05:15 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM2.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26403 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 1.9896565161e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1 4.4591879821e+16 -4.46e+11 1.22e+08 1.000000e+00 9.999980e-01 9.997123e-01 9.656352e-01 -3.648994e-03 The fit was stopped by the user after 1 iterations. final sum of squares of residuals : 4.45919e+16 rel. change during last iteration : -4.46192e+06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.2997e+06 variance of residuals (reduced chisquare) = WSSR/ndf : 1.68921e+12 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 1 +/- 1.279e+05 (1.279e+07%) b2 = 0.999998 +/- 4347 (4.347e+05%) c2 = 0.999712 +/- 47.99 (4800%) d2 = 0.965635 +/- 0.2108 (21.83%) e2 = -0.00364899 +/- 0.000319 (8.741%) 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 18:05:23 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM3.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26398 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 1.9899946907e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 iter chisq delta/lim lambda a3 b3 c3 d3 e3 0 1.9899946907e+23 -5.03e+11 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 The fit was stopped by the user after 0 iterations. final sum of squares of residuals : 1.98999e+23 rel. change during last iteration : -5.02514e+06 degrees of freedom (FIT_NDF) : 26393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.74588e+09 variance of residuals (reduced chisquare) = WSSR/ndf : 7.53986e+18 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 1 +/- 2.701e+08 (2.701e+10%) b3 = 1 +/- 9.182e+06 (9.182e+08%) c3 = 1 +/- 1.014e+05 (1.014e+07%) d3 = 1 +/- 445.4 (4.454e+04%) e3 = 1 +/- 0.6737 (67.37%) 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 18:05:24 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM4.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26400 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 1.9893363681e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 4.4001063446e+05 -1.29e+05 1.22e+02 9.890849e-01 6.322831e-01 -8.289478e-03 3.911520e-05 -6.191674e-08 The fit was stopped by the user after 7 iterations. final sum of squares of residuals : 440011 rel. change during last iteration : -1.29277 degrees of freedom (FIT_NDF) : 26395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.08292 variance of residuals (reduced chisquare) = WSSR/ndf : 16.6702 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 0.989085 +/- 0.4016 (40.61%) b4 = 0.632283 +/- 0.01365 (2.159%) c4 = -0.00828948 +/- 0.0001508 (1.819%) d4 = 3.91152e-05 +/- 6.623e-07 (1.693%) e4 = -6.19167e-08 +/- 1.002e-09 (1.618%) 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 18:05:38 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM5.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26403 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 1.9904619166e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8236648038e+05 -4.60e-01 1.22e-02 1.433376e+01 -8.683608e-02 1.247042e-03 -6.466670e-06 9.786790e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282366 rel. change during last iteration : -4.6029e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27055 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6965 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 14.3338 +/- 0.3217 (2.245%) b5 = -0.0868361 +/- 0.01094 (12.59%) c5 = 0.00124704 +/- 0.0001208 (9.683%) d5 = -6.46667e-06 +/- 5.305e-07 (8.204%) e5 = 9.78679e-09 +/- 8.025e-10 (8.2%) 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 18:05:47 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM6.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26394 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 1.9877001589e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7821872168e+05 -4.58e-01 1.22e-02 1.421810e+01 -8.515172e-02 1.223710e-03 -6.345021e-06 9.589561e-09 After 11 iterations the fit converged. final sum of squares of residuals : 278219 rel. change during last iteration : -4.57761e-06 degrees of freedom (FIT_NDF) : 26389 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.247 variance of residuals (reduced chisquare) = WSSR/ndf : 10.543 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 14.2181 +/- 0.3194 (2.246%) b6 = -0.0851517 +/- 0.01086 (12.75%) c6 = 0.00122371 +/- 0.0001199 (9.797%) d6 = -6.34502e-06 +/- 5.267e-07 (8.301%) e6 = 9.58956e-09 +/- 7.968e-10 (8.309%) 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 18:05:55 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM7.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26417 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 1.9935749219e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8325530740e+05 -4.64e-01 1.22e-02 1.438544e+01 -8.986494e-02 1.286377e-03 -6.651928e-06 1.007436e-08 After 11 iterations the fit converged. final sum of squares of residuals : 283255 rel. change during last iteration : -4.63797e-06 degrees of freedom (FIT_NDF) : 26412 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27483 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7245 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 14.3854 +/- 0.3222 (2.239%) b7 = -0.0898649 +/- 0.01095 (12.19%) c7 = 0.00128638 +/- 0.0001209 (9.4%) d7 = -6.65193e-06 +/- 5.313e-07 (7.986%) e7 = 1.00744e-08 +/- 8.037e-10 (7.978%) 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 18:06:03 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM8.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26405 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 1.9906894200e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7910147061e+05 -4.62e-01 1.22e-02 1.428123e+01 -8.955365e-02 1.282813e-03 -6.629516e-06 1.003975e-08 After 11 iterations the fit converged. final sum of squares of residuals : 279101 rel. change during last iteration : -4.62191e-06 degrees of freedom (FIT_NDF) : 26400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25147 variance of residuals (reduced chisquare) = WSSR/ndf : 10.572 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 14.2812 +/- 0.3199 (2.24%) b8 = -0.0895536 +/- 0.01087 (12.14%) c8 = 0.00128281 +/- 0.0001201 (9.36%) d8 = -6.62952e-06 +/- 5.275e-07 (7.957%) e8 = 1.00397e-08 +/- 7.98e-10 (7.949%) 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 18:06:11 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM9.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26399 residuals are weighted equally (unit weight) function used for fitting: f9(x) f9(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 1.9871071687e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7459252677e+05 -4.62e-01 1.22e-02 1.419269e+01 -9.240840e-02 1.324183e-03 -6.849718e-06 1.044076e-08 After 11 iterations the fit converged. final sum of squares of residuals : 274593 rel. change during last iteration : -4.61633e-06 degrees of freedom (FIT_NDF) : 26394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22546 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4036 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 14.1927 +/- 0.3173 (2.236%) b9 = -0.0924084 +/- 0.01079 (11.67%) c9 = 0.00132418 +/- 0.0001191 (8.996%) d9 = -6.84972e-06 +/- 5.234e-07 (7.641%) e9 = 1.04408e-08 +/- 7.919e-10 (7.584%) 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 18:06:19 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM10.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26406 residuals are weighted equally (unit weight) function used for fitting: f10(x) f10(x) = a10 + b10*x +c10*x**2+d10*x**3 +e10*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a10 b10 c10 d10 e10 0 1.9907008182e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7500676059e+05 -4.58e-01 1.22e-02 1.412006e+01 -8.624720e-02 1.237743e-03 -6.416843e-06 9.722759e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275007 rel. change during last iteration : -4.57546e-06 degrees of freedom (FIT_NDF) : 26401 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22746 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4165 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 14.1201 +/- 0.3175 (2.248%) b10 = -0.0862472 +/- 0.01079 (12.51%) c10 = 0.00123774 +/- 0.0001192 (9.627%) d10 = -6.41684e-06 +/- 5.235e-07 (8.157%) e10 = 9.72276e-09 +/- 7.919e-10 (8.144%) correlation matrix of the fit parameters: a10 b10 c10 d10 e10 a10 1.000 b10 -0.975 1.000 c10 0.933 -0.987 1.000 d10 -0.889 0.961 -0.992 1.000 e10 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:06:27 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM11.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26402 residuals are weighted equally (unit weight) function used for fitting: f11(x) f11(x) = a11 + b11*x +c11*x**2+d11*x**3 +e11*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a11 b11 c11 d11 e11 0 1.9903509523e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7985059247e+05 -4.59e-01 1.22e-02 1.426195e+01 -8.763219e-02 1.255809e-03 -6.502311e-06 9.846811e-09 After 11 iterations the fit converged. final sum of squares of residuals : 279851 rel. change during last iteration : -4.59353e-06 degrees of freedom (FIT_NDF) : 26397 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25601 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6016 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 14.2619 +/- 0.3203 (2.246%) b11 = -0.0876322 +/- 0.01089 (12.42%) c11 = 0.00125581 +/- 0.0001202 (9.572%) d11 = -6.50231e-06 +/- 5.281e-07 (8.122%) e11 = 9.84681e-09 +/- 7.989e-10 (8.114%) correlation matrix of the fit parameters: a11 b11 c11 d11 e11 a11 1.000 b11 -0.975 1.000 c11 0.933 -0.987 1.000 d11 -0.889 0.961 -0.992 1.000 e11 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:06:35 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM12.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26415 residuals are weighted equally (unit weight) function used for fitting: f12(x) f12(x) = a12 + b12*x +c12*x**2+d12*x**3 +e12*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a12 b12 c12 d12 e12 0 1.9922607117e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7357935962e+05 -4.57e-01 1.22e-02 1.406712e+01 -8.673844e-02 1.250218e-03 -6.480317e-06 9.822722e-09 After 11 iterations the fit converged. final sum of squares of residuals : 273579 rel. change during last iteration : -4.56977e-06 degrees of freedom (FIT_NDF) : 26410 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.21853 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3589 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 14.0671 +/- 0.3166 (2.251%) b12 = -0.0867384 +/- 0.01076 (12.41%) c12 = 0.00125022 +/- 0.0001188 (9.506%) d12 = -6.48032e-06 +/- 5.221e-07 (8.057%) e12 = 9.82272e-09 +/- 7.899e-10 (8.042%) correlation matrix of the fit parameters: a12 b12 c12 d12 e12 a12 1.000 b12 -0.975 1.000 c12 0.933 -0.987 1.000 d12 -0.889 0.961 -0.992 1.000 e12 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:06:43 2020 FIT: data read from 'Time_Dep_Moments_at_END.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26412 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 2.7405147333e+05 0.00e+00 4.33e+01 1.419269e+01 -9.240840e-02 1.324183e-03 -6.849718e-06 1.044076e-08 3 2.7403883224e+05 -3.28e-03 4.33e-02 1.406469e+01 -8.673093e-02 1.251816e-03 -6.497326e-06 9.862043e-09 After 3 iterations the fit converged. final sum of squares of residuals : 274039 rel. change during last iteration : -3.27885e-08 degrees of freedom (FIT_NDF) : 26407 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22141 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3775 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 14.0647 +/- 0.3169 (2.253%) b9 = -0.0867309 +/- 0.01077 (12.42%) c9 = 0.00125182 +/- 0.000119 (9.503%) d9 = -6.49733e-06 +/- 5.226e-07 (8.044%) e9 = 9.86204e-09 +/- 7.907e-10 (8.017%) 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 18:08:32 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM1.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26397 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 1.9887219513e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8184666533e+05 -4.59e-01 1.22e-02 1.430911e+01 -8.999942e-02 1.296343e-03 -6.714583e-06 1.019948e-08 After 11 iterations the fit converged. final sum of squares of residuals : 281847 rel. change during last iteration : -4.58633e-06 degrees of freedom (FIT_NDF) : 26392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.26791 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6792 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 14.3091 +/- 0.3215 (2.247%) b1 = -0.0899994 +/- 0.01093 (12.14%) c1 = 0.00129634 +/- 0.0001207 (9.308%) d1 = -6.71458e-06 +/- 5.301e-07 (7.895%) e1 = 1.01995e-08 +/- 8.02e-10 (7.863%) 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 18:08:40 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM2.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26403 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 1.9896565161e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7984910448e+05 -4.55e-01 1.22e-02 1.420131e+01 -8.885513e-02 1.283137e-03 -6.658994e-06 1.012613e-08 After 11 iterations the fit converged. final sum of squares of residuals : 279849 rel. change during last iteration : -4.54816e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25594 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6011 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 14.2013 +/- 0.3203 (2.255%) b2 = -0.0888551 +/- 0.01089 (12.25%) c2 = 0.00128314 +/- 0.0001202 (9.37%) d2 = -6.65899e-06 +/- 5.282e-07 (7.932%) e2 = 1.01261e-08 +/- 7.991e-10 (7.891%) 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 18:08:48 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM3.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26398 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 1.9899946907e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8073819615e+05 -4.55e-01 1.22e-02 1.421921e+01 -8.395773e-02 1.212954e-03 -6.293671e-06 9.492735e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280738 rel. change during last iteration : -4.54949e-06 degrees of freedom (FIT_NDF) : 26393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.26142 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6368 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 14.2192 +/- 0.3208 (2.256%) b3 = -0.0839577 +/- 0.01091 (12.99%) c3 = 0.00121295 +/- 0.0001204 (9.927%) d3 = -6.29367e-06 +/- 5.29e-07 (8.405%) e3 = 9.49273e-09 +/- 8.003e-10 (8.43%) 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 18:08:56 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM4.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26400 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 1.9893363681e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7849547254e+05 -4.59e-01 1.22e-02 1.423705e+01 -8.682651e-02 1.243729e-03 -6.422287e-06 9.680008e-09 After 11 iterations the fit converged. final sum of squares of residuals : 278495 rel. change during last iteration : -4.59351e-06 degrees of freedom (FIT_NDF) : 26395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24824 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5511 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 14.2371 +/- 0.3195 (2.244%) b4 = -0.0868265 +/- 0.01086 (12.51%) c4 = 0.00124373 +/- 0.0001199 (9.643%) d4 = -6.42229e-06 +/- 5.269e-07 (8.204%) e4 = 9.68001e-09 +/- 7.971e-10 (8.235%) 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 18:09:04 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM5.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26403 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 1.9904619166e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8236648038e+05 -4.60e-01 1.22e-02 1.433376e+01 -8.683608e-02 1.247042e-03 -6.466670e-06 9.786790e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282366 rel. change during last iteration : -4.6029e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27055 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6965 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 14.3338 +/- 0.3217 (2.245%) b5 = -0.0868361 +/- 0.01094 (12.59%) c5 = 0.00124704 +/- 0.0001208 (9.683%) d5 = -6.46667e-06 +/- 5.305e-07 (8.204%) e5 = 9.78679e-09 +/- 8.025e-10 (8.2%) 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 18:09:12 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM6.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26394 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 1.9877001589e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7821872168e+05 -4.58e-01 1.22e-02 1.421810e+01 -8.515172e-02 1.223710e-03 -6.345021e-06 9.589561e-09 After 11 iterations the fit converged. final sum of squares of residuals : 278219 rel. change during last iteration : -4.57761e-06 degrees of freedom (FIT_NDF) : 26389 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.247 variance of residuals (reduced chisquare) = WSSR/ndf : 10.543 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 14.2181 +/- 0.3194 (2.246%) b6 = -0.0851517 +/- 0.01086 (12.75%) c6 = 0.00122371 +/- 0.0001199 (9.797%) d6 = -6.34502e-06 +/- 5.267e-07 (8.301%) e6 = 9.58956e-09 +/- 7.968e-10 (8.309%) 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 18:09:20 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM7.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26417 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 1.9935749219e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8325530740e+05 -4.64e-01 1.22e-02 1.438544e+01 -8.986494e-02 1.286377e-03 -6.651928e-06 1.007436e-08 After 11 iterations the fit converged. final sum of squares of residuals : 283255 rel. change during last iteration : -4.63797e-06 degrees of freedom (FIT_NDF) : 26412 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27483 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7245 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 14.3854 +/- 0.3222 (2.239%) b7 = -0.0898649 +/- 0.01095 (12.19%) c7 = 0.00128638 +/- 0.0001209 (9.4%) d7 = -6.65193e-06 +/- 5.313e-07 (7.986%) e7 = 1.00744e-08 +/- 8.037e-10 (7.978%) 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 18:09:28 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM8.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26405 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 1.9906894200e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7910147061e+05 -4.62e-01 1.22e-02 1.428123e+01 -8.955365e-02 1.282813e-03 -6.629516e-06 1.003975e-08 After 11 iterations the fit converged. final sum of squares of residuals : 279101 rel. change during last iteration : -4.62191e-06 degrees of freedom (FIT_NDF) : 26400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25147 variance of residuals (reduced chisquare) = WSSR/ndf : 10.572 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 14.2812 +/- 0.3199 (2.24%) b8 = -0.0895536 +/- 0.01087 (12.14%) c8 = 0.00128281 +/- 0.0001201 (9.36%) d8 = -6.62952e-06 +/- 5.275e-07 (7.957%) e8 = 1.00397e-08 +/- 7.98e-10 (7.949%) 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 18:09:36 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM9.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26399 residuals are weighted equally (unit weight) function used for fitting: f9(x) f9(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 1.9871071687e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7459252677e+05 -4.62e-01 1.22e-02 1.419269e+01 -9.240840e-02 1.324183e-03 -6.849718e-06 1.044076e-08 After 11 iterations the fit converged. final sum of squares of residuals : 274593 rel. change during last iteration : -4.61633e-06 degrees of freedom (FIT_NDF) : 26394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22546 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4036 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 14.1927 +/- 0.3173 (2.236%) b9 = -0.0924084 +/- 0.01079 (11.67%) c9 = 0.00132418 +/- 0.0001191 (8.996%) d9 = -6.84972e-06 +/- 5.234e-07 (7.641%) e9 = 1.04408e-08 +/- 7.919e-10 (7.584%) 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 18:09:45 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM10.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26406 residuals are weighted equally (unit weight) function used for fitting: f10(x) f10(x) = a10 + b10*x +c10*x**2+d10*x**3 +e10*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a10 b10 c10 d10 e10 0 1.9907008182e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7500676059e+05 -4.58e-01 1.22e-02 1.412006e+01 -8.624720e-02 1.237743e-03 -6.416843e-06 9.722759e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275007 rel. change during last iteration : -4.57546e-06 degrees of freedom (FIT_NDF) : 26401 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22746 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4165 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 14.1201 +/- 0.3175 (2.248%) b10 = -0.0862472 +/- 0.01079 (12.51%) c10 = 0.00123774 +/- 0.0001192 (9.627%) d10 = -6.41684e-06 +/- 5.235e-07 (8.157%) e10 = 9.72276e-09 +/- 7.919e-10 (8.144%) correlation matrix of the fit parameters: a10 b10 c10 d10 e10 a10 1.000 b10 -0.975 1.000 c10 0.933 -0.987 1.000 d10 -0.889 0.961 -0.992 1.000 e10 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:09:53 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM11.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26402 residuals are weighted equally (unit weight) function used for fitting: f11(x) f11(x) = a11 + b11*x +c11*x**2+d11*x**3 +e11*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a11 b11 c11 d11 e11 0 1.9903509523e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7985059247e+05 -4.59e-01 1.22e-02 1.426195e+01 -8.763219e-02 1.255809e-03 -6.502311e-06 9.846811e-09 After 11 iterations the fit converged. final sum of squares of residuals : 279851 rel. change during last iteration : -4.59353e-06 degrees of freedom (FIT_NDF) : 26397 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25601 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6016 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 14.2619 +/- 0.3203 (2.246%) b11 = -0.0876322 +/- 0.01089 (12.42%) c11 = 0.00125581 +/- 0.0001202 (9.572%) d11 = -6.50231e-06 +/- 5.281e-07 (8.122%) e11 = 9.84681e-09 +/- 7.989e-10 (8.114%) correlation matrix of the fit parameters: a11 b11 c11 d11 e11 a11 1.000 b11 -0.975 1.000 c11 0.933 -0.987 1.000 d11 -0.889 0.961 -0.992 1.000 e11 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:10:01 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM12.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26415 residuals are weighted equally (unit weight) function used for fitting: f12(x) f12(x) = a12 + b12*x +c12*x**2+d12*x**3 +e12*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a12 b12 c12 d12 e12 0 1.9922607117e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7357935962e+05 -4.57e-01 1.22e-02 1.406712e+01 -8.673844e-02 1.250218e-03 -6.480317e-06 9.822722e-09 After 11 iterations the fit converged. final sum of squares of residuals : 273579 rel. change during last iteration : -4.56977e-06 degrees of freedom (FIT_NDF) : 26410 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.21853 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3589 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 14.0671 +/- 0.3166 (2.251%) b12 = -0.0867384 +/- 0.01076 (12.41%) c12 = 0.00125022 +/- 0.0001188 (9.506%) d12 = -6.48032e-06 +/- 5.221e-07 (8.057%) e12 = 9.82272e-09 +/- 7.899e-10 (8.042%) correlation matrix of the fit parameters: a12 b12 c12 d12 e12 a12 1.000 b12 -0.975 1.000 c12 0.933 -0.987 1.000 d12 -0.889 0.961 -0.992 1.000 e12 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Mon Mar 23 18:10:09 2020 FIT: data read from 'Time_Dep_Moments_at_END.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26412 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 2.7405147333e+05 0.00e+00 4.33e+01 1.419269e+01 -9.240840e-02 1.324183e-03 -6.849718e-06 1.044076e-08 3 2.7403883224e+05 -3.28e-03 4.33e-02 1.406469e+01 -8.673093e-02 1.251816e-03 -6.497326e-06 9.862043e-09 After 3 iterations the fit converged. final sum of squares of residuals : 274039 rel. change during last iteration : -3.27885e-08 degrees of freedom (FIT_NDF) : 26407 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22141 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3775 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 14.0647 +/- 0.3169 (2.253%) b9 = -0.0867309 +/- 0.01077 (12.42%) c9 = 0.00125182 +/- 0.000119 (9.503%) d9 = -6.49733e-06 +/- 5.226e-07 (8.044%) e9 = 9.86204e-09 +/- 7.907e-10 (8.017%) 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 18:18:16 2020 FIT: data read from 'Beam_moments_by_element.dat' u 1:16 format = x:z #datapoints = 3447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)= a*exp(-x/b) + c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.2230205853e+10 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 134 4.0405214637e+10 -9.46e-01 5.77e+02 1.151189e+03 1.432236e+01 4.240411e+02 After 134 iterations the fit converged. final sum of squares of residuals : 4.04052e+10 rel. change during last iteration : -9.46396e-06 degrees of freedom (FIT_NDF) : 3444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3425.21 variance of residuals (reduced chisquare) = WSSR/ndf : 1.17321e+07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1151.19 +/- 1635 (142%) b = 14.3224 +/- 101 (705%) c = 424.041 +/- 1027 (242.1%) correlation matrix of the fit parameters: a b c a 1.000 b -0.430 1.000 c 0.373 -0.997 1.000 ******************************************************************************* Mon Mar 23 18:19:45 2020 FIT: data read from 'Beam_moments_by_element.dat' u 5:16 format = x:z #datapoints = 3447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)= a*exp(-x/b) + c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.5641375735e+10 0.00e+00 7.08e+02 1.151189e+03 1.432236e+01 4.240411e+02 2 4.1459924037e+10 -1.37e-03 7.08e+01 1.971561e+02 1.337745e+01 2.766628e+02 After 2 iterations the fit converged. final sum of squares of residuals : 4.14599e+10 rel. change during last iteration : -1.37208e-08 degrees of freedom (FIT_NDF) : 3444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3469.63 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20383e+07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 197.156 +/- 1.07e+12 (5.428e+11%) b = 13.3775 +/- 7.269e+10 (5.434e+11%) c = 276.663 +/- 1.07e+12 (3.868e+11%) correlation matrix of the fit parameters: a b c a 1.000 b 1.000 1.000 c -1.000 -1.000 1.000 ******************************************************************************* Mon Mar 23 18:19:59 2020 FIT: data read from 'Beam_moments_by_element.dat' u 5:16 format = x:z x range restricted to [3.00000e-05 : *] #datapoints = 3236 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)= a*exp(-x/b) + c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 6.2938041193e+08 0.00e+00 1.96e+02 1.971561e+02 1.337745e+01 2.766628e+02 2 4.1371263211e+08 -5.07e-02 1.96e+01 1.229541e+02 1.232828e+01 9.270408e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.13713e+08 rel. change during last iteration : -5.07145e-07 degrees of freedom (FIT_NDF) : 3233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 357.723 variance of residuals (reduced chisquare) = WSSR/ndf : 127966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 122.954 +/- 1.097e+11 (8.925e+10%) b = 12.3283 +/- 1.101e+10 (8.934e+10%) c = 92.7041 +/- 1.097e+11 (1.184e+11%) correlation matrix of the fit parameters: a b c a 1.000 b 1.000 1.000 c -1.000 -1.000 1.000 ******************************************************************************* Mon Mar 23 18:20:53 2020 FIT: data read from 'Beam_moments_by_element.dat' u 5:16 format = x:z x range restricted to [3.00000e-05 : *] #datapoints = 3236 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)= a*exp(-x/b) + c fitted parameters initialized with current variable values Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c 0 5.1192415844e+08 0.00e+00 1.69e+01 1.229541e+02 6.400000e-05 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Mar 23 18:23:55 2020 FIT: data read from 'Beam_moments_by_element.dat' u ($5*1.e6):16 format = x:z x range restricted to [30.0000 : *] #datapoints = 3236 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)= a*exp(-x/b) + c fitted parameters initialized with current variable values Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c 0 9.7674941481e+05 0.00e+00 3.44e+02 2.500000e+03 6.400000e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Mar 24 08:12:05 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM1.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26397 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 1.9887219513e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8184666533e+05 -4.59e-01 1.22e-02 1.430911e+01 -8.999942e-02 1.296343e-03 -6.714583e-06 1.019948e-08 After 11 iterations the fit converged. final sum of squares of residuals : 281847 rel. change during last iteration : -4.58633e-06 degrees of freedom (FIT_NDF) : 26392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.26791 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6792 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 14.3091 +/- 0.3215 (2.247%) b1 = -0.0899994 +/- 0.01093 (12.14%) c1 = 0.00129634 +/- 0.0001207 (9.308%) d1 = -6.71458e-06 +/- 5.301e-07 (7.895%) e1 = 1.01995e-08 +/- 8.02e-10 (7.863%) 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 ******************************************************************************* Tue Mar 24 08:12:12 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM2.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26403 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 1.9896565161e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7984910448e+05 -4.55e-01 1.22e-02 1.420131e+01 -8.885513e-02 1.283137e-03 -6.658994e-06 1.012613e-08 After 11 iterations the fit converged. final sum of squares of residuals : 279849 rel. change during last iteration : -4.54816e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25594 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6011 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 14.2013 +/- 0.3203 (2.255%) b2 = -0.0888551 +/- 0.01089 (12.25%) c2 = 0.00128314 +/- 0.0001202 (9.37%) d2 = -6.65899e-06 +/- 5.282e-07 (7.932%) e2 = 1.01261e-08 +/- 7.991e-10 (7.891%) 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 ******************************************************************************* Tue Mar 24 08:12:20 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM3.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26398 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 1.9899946907e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8073819615e+05 -4.55e-01 1.22e-02 1.421921e+01 -8.395773e-02 1.212954e-03 -6.293671e-06 9.492735e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280738 rel. change during last iteration : -4.54949e-06 degrees of freedom (FIT_NDF) : 26393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.26142 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6368 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 14.2192 +/- 0.3208 (2.256%) b3 = -0.0839577 +/- 0.01091 (12.99%) c3 = 0.00121295 +/- 0.0001204 (9.927%) d3 = -6.29367e-06 +/- 5.29e-07 (8.405%) e3 = 9.49273e-09 +/- 8.003e-10 (8.43%) 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 ******************************************************************************* Tue Mar 24 08:12:28 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM4.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26400 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 1.9893363681e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7849547254e+05 -4.59e-01 1.22e-02 1.423705e+01 -8.682651e-02 1.243729e-03 -6.422287e-06 9.680008e-09 After 11 iterations the fit converged. final sum of squares of residuals : 278495 rel. change during last iteration : -4.59351e-06 degrees of freedom (FIT_NDF) : 26395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24824 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5511 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 14.2371 +/- 0.3195 (2.244%) b4 = -0.0868265 +/- 0.01086 (12.51%) c4 = 0.00124373 +/- 0.0001199 (9.643%) d4 = -6.42229e-06 +/- 5.269e-07 (8.204%) e4 = 9.68001e-09 +/- 7.971e-10 (8.235%) 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 ******************************************************************************* Tue Mar 24 08:12:36 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM5.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26403 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 1.9904619166e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8236648038e+05 -4.60e-01 1.22e-02 1.433376e+01 -8.683608e-02 1.247042e-03 -6.466670e-06 9.786790e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282366 rel. change during last iteration : -4.6029e-06 degrees of freedom (FIT_NDF) : 26398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27055 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6965 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 14.3338 +/- 0.3217 (2.245%) b5 = -0.0868361 +/- 0.01094 (12.59%) c5 = 0.00124704 +/- 0.0001208 (9.683%) d5 = -6.46667e-06 +/- 5.305e-07 (8.204%) e5 = 9.78679e-09 +/- 8.025e-10 (8.2%) 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 ******************************************************************************* Tue Mar 24 08:12:44 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM6.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26394 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 1.9877001589e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7821872168e+05 -4.58e-01 1.22e-02 1.421810e+01 -8.515172e-02 1.223710e-03 -6.345021e-06 9.589561e-09 After 11 iterations the fit converged. final sum of squares of residuals : 278219 rel. change during last iteration : -4.57761e-06 degrees of freedom (FIT_NDF) : 26389 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.247 variance of residuals (reduced chisquare) = WSSR/ndf : 10.543 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 14.2181 +/- 0.3194 (2.246%) b6 = -0.0851517 +/- 0.01086 (12.75%) c6 = 0.00122371 +/- 0.0001199 (9.797%) d6 = -6.34502e-06 +/- 5.267e-07 (8.301%) e6 = 9.58956e-09 +/- 7.968e-10 (8.309%) 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 ******************************************************************************* Tue Mar 24 08:12:52 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM7.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26417 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 1.9935749219e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8325530740e+05 -4.64e-01 1.22e-02 1.438544e+01 -8.986494e-02 1.286377e-03 -6.651928e-06 1.007436e-08 After 11 iterations the fit converged. final sum of squares of residuals : 283255 rel. change during last iteration : -4.63797e-06 degrees of freedom (FIT_NDF) : 26412 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27483 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7245 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 14.3854 +/- 0.3222 (2.239%) b7 = -0.0898649 +/- 0.01095 (12.19%) c7 = 0.00128638 +/- 0.0001209 (9.4%) d7 = -6.65193e-06 +/- 5.313e-07 (7.986%) e7 = 1.00744e-08 +/- 8.037e-10 (7.978%) 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 ******************************************************************************* Tue Mar 24 08:13:00 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM8.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26405 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 1.9906894200e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7910147061e+05 -4.62e-01 1.22e-02 1.428123e+01 -8.955365e-02 1.282813e-03 -6.629516e-06 1.003975e-08 After 11 iterations the fit converged. final sum of squares of residuals : 279101 rel. change during last iteration : -4.62191e-06 degrees of freedom (FIT_NDF) : 26400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25147 variance of residuals (reduced chisquare) = WSSR/ndf : 10.572 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 14.2812 +/- 0.3199 (2.24%) b8 = -0.0895536 +/- 0.01087 (12.14%) c8 = 0.00128281 +/- 0.0001201 (9.36%) d8 = -6.62952e-06 +/- 5.275e-07 (7.957%) e8 = 1.00397e-08 +/- 7.98e-10 (7.949%) 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 ******************************************************************************* Tue Mar 24 08:13:08 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM9.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26399 residuals are weighted equally (unit weight) function used for fitting: f9(x) f9(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 1.9871071687e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7459252677e+05 -4.62e-01 1.22e-02 1.419269e+01 -9.240840e-02 1.324183e-03 -6.849718e-06 1.044076e-08 After 11 iterations the fit converged. final sum of squares of residuals : 274593 rel. change during last iteration : -4.61633e-06 degrees of freedom (FIT_NDF) : 26394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22546 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4036 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 14.1927 +/- 0.3173 (2.236%) b9 = -0.0924084 +/- 0.01079 (11.67%) c9 = 0.00132418 +/- 0.0001191 (8.996%) d9 = -6.84972e-06 +/- 5.234e-07 (7.641%) e9 = 1.04408e-08 +/- 7.919e-10 (7.584%) 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 ******************************************************************************* Tue Mar 24 08:13:16 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM10.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26406 residuals are weighted equally (unit weight) function used for fitting: f10(x) f10(x) = a10 + b10*x +c10*x**2+d10*x**3 +e10*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a10 b10 c10 d10 e10 0 1.9907008182e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7500676059e+05 -4.58e-01 1.22e-02 1.412006e+01 -8.624720e-02 1.237743e-03 -6.416843e-06 9.722759e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275007 rel. change during last iteration : -4.57546e-06 degrees of freedom (FIT_NDF) : 26401 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22746 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4165 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 14.1201 +/- 0.3175 (2.248%) b10 = -0.0862472 +/- 0.01079 (12.51%) c10 = 0.00123774 +/- 0.0001192 (9.627%) d10 = -6.41684e-06 +/- 5.235e-07 (8.157%) e10 = 9.72276e-09 +/- 7.919e-10 (8.144%) correlation matrix of the fit parameters: a10 b10 c10 d10 e10 a10 1.000 b10 -0.975 1.000 c10 0.933 -0.987 1.000 d10 -0.889 0.961 -0.992 1.000 e10 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:13:24 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM11.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26402 residuals are weighted equally (unit weight) function used for fitting: f11(x) f11(x) = a11 + b11*x +c11*x**2+d11*x**3 +e11*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a11 b11 c11 d11 e11 0 1.9903509523e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7985059247e+05 -4.59e-01 1.22e-02 1.426195e+01 -8.763219e-02 1.255809e-03 -6.502311e-06 9.846811e-09 After 11 iterations the fit converged. final sum of squares of residuals : 279851 rel. change during last iteration : -4.59353e-06 degrees of freedom (FIT_NDF) : 26397 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25601 variance of residuals (reduced chisquare) = WSSR/ndf : 10.6016 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 14.2619 +/- 0.3203 (2.246%) b11 = -0.0876322 +/- 0.01089 (12.42%) c11 = 0.00125581 +/- 0.0001202 (9.572%) d11 = -6.50231e-06 +/- 5.281e-07 (8.122%) e11 = 9.84681e-09 +/- 7.989e-10 (8.114%) correlation matrix of the fit parameters: a11 b11 c11 d11 e11 a11 1.000 b11 -0.975 1.000 c11 0.933 -0.987 1.000 d11 -0.889 0.961 -0.992 1.000 e11 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:13:32 2020 FIT: data read from 'Time_Dep_Moments_at_QUADM12.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26415 residuals are weighted equally (unit weight) function used for fitting: f12(x) f12(x) = a12 + b12*x +c12*x**2+d12*x**3 +e12*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a12 b12 c12 d12 e12 0 1.9922607117e+23 0.00e+00 1.22e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7357935962e+05 -4.57e-01 1.22e-02 1.406712e+01 -8.673844e-02 1.250218e-03 -6.480317e-06 9.822722e-09 After 11 iterations the fit converged. final sum of squares of residuals : 273579 rel. change during last iteration : -4.56977e-06 degrees of freedom (FIT_NDF) : 26410 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.21853 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3589 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 14.0671 +/- 0.3166 (2.251%) b12 = -0.0867384 +/- 0.01076 (12.41%) c12 = 0.00125022 +/- 0.0001188 (9.506%) d12 = -6.48032e-06 +/- 5.221e-07 (8.057%) e12 = 9.82272e-09 +/- 7.899e-10 (8.042%) correlation matrix of the fit parameters: a12 b12 c12 d12 e12 a12 1.000 b12 -0.975 1.000 c12 0.933 -0.987 1.000 d12 -0.889 0.961 -0.992 1.000 e12 0.847 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:13:40 2020 FIT: data read from 'Time_Dep_Moments_at_END.dat' u ($1/100.):($13**.5)*1000 format = x:z x range restricted to [30.0000 : 300.000] #datapoints = 26412 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 2.7405147333e+05 0.00e+00 4.33e+01 1.419269e+01 -9.240840e-02 1.324183e-03 -6.849718e-06 1.044076e-08 3 2.7403883224e+05 -3.28e-03 4.33e-02 1.406469e+01 -8.673093e-02 1.251816e-03 -6.497326e-06 9.862043e-09 After 3 iterations the fit converged. final sum of squares of residuals : 274039 rel. change during last iteration : -3.27885e-08 degrees of freedom (FIT_NDF) : 26407 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22141 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3775 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 14.0647 +/- 0.3169 (2.253%) b9 = -0.0867309 +/- 0.01077 (12.42%) c9 = 0.00125182 +/- 0.000119 (9.503%) d9 = -6.49733e-06 +/- 5.226e-07 (8.044%) e9 = 9.86204e-09 +/- 7.907e-10 (8.017%) 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