******************************************************************************* Tue Mar 24 07:31:01 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 = 26170 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 1.9142824276e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8503002977e+05 -3.39e-01 1.20e-02 1.292166e+01 -2.142364e-02 1.593498e-04 -2.418338e-07 -1.410583e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285030 rel. change during last iteration : -3.38876e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30054 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8936 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.9217 +/- 0.3257 (2.521%) b1 = -0.0214236 +/- 0.01109 (51.75%) c1 = 0.00015935 +/- 0.0001226 (76.93%) d1 = -2.41834e-07 +/- 5.392e-07 (223%) e1 = -1.41058e-09 +/- 8.167e-10 (57.9%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:31:09 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 = 26164 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 1.9116395093e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8157092930e+05 -3.37e-01 1.20e-02 1.284477e+01 -2.154857e-02 1.615422e-04 -2.583236e-07 -1.360807e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281571 rel. change during last iteration : -3.37489e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28083 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7638 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.8448 +/- 0.3237 (2.52%) b2 = -0.0215486 +/- 0.01102 (51.14%) c2 = 0.000161542 +/- 0.0001218 (75.43%) d2 = -2.58324e-07 +/- 5.36e-07 (207.5%) e2 = -1.36081e-09 +/- 8.118e-10 (59.65%) 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 07:31:17 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 = 26169 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 1.9125773453e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8543942580e+05 -3.38e-01 1.20e-02 1.293218e+01 -2.225303e-02 1.751090e-04 -3.451669e-07 -1.198551e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285439 rel. change during last iteration : -3.38391e-06 degrees of freedom (FIT_NDF) : 26164 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30297 variance of residuals (reduced chisquare) = WSSR/ndf : 10.9096 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 12.9322 +/- 0.326 (2.521%) b3 = -0.022253 +/- 0.0111 (49.87%) c3 = 0.000175109 +/- 0.0001227 (70.08%) d3 = -3.45167e-07 +/- 5.399e-07 (156.4%) e3 = -1.19855e-09 +/- 8.178e-10 (68.23%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:31:25 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 = 26170 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 1.9140424297e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8209690948e+05 -3.40e-01 1.20e-02 1.288789e+01 -2.350610e-02 1.885877e-04 -3.956643e-07 -1.138721e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282097 rel. change during last iteration : -3.40468e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28351 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7815 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 12.8879 +/- 0.3241 (2.514%) b4 = -0.0235061 +/- 0.01103 (46.93%) c4 = 0.000188588 +/- 0.000122 (64.68%) d4 = -3.95664e-07 +/- 5.366e-07 (135.6%) e4 = -1.13872e-09 +/- 8.127e-10 (71.37%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:31:33 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 = 26153 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 1.9087415200e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8315080045e+05 -3.36e-01 1.20e-02 1.286604e+01 -1.924478e-02 1.312563e-04 -1.026127e-07 -1.629565e-09 After 11 iterations the fit converged. final sum of squares of residuals : 283151 rel. change during last iteration : -3.36114e-06 degrees of freedom (FIT_NDF) : 26148 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.29071 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8288 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 12.866 +/- 0.3248 (2.525%) b5 = -0.0192448 +/- 0.01106 (57.46%) c5 = 0.000131256 +/- 0.0001223 (93.16%) d5 = -1.02613e-07 +/- 5.38e-07 (524.3%) e5 = -1.62956e-09 +/- 8.148e-10 (50%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:31:40 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 = 26160 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 1.9119434920e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8043691402e+05 -3.35e-01 1.20e-02 1.277193e+01 -1.866229e-02 1.264626e-04 -9.524392e-08 -1.611005e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280437 rel. change during last iteration : -3.35221e-06 degrees of freedom (FIT_NDF) : 26155 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27446 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7221 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 12.7719 +/- 0.3232 (2.53%) b6 = -0.0186623 +/- 0.011 (58.95%) c6 = 0.000126463 +/- 0.0001216 (96.19%) d6 = -9.52439e-08 +/- 5.352e-07 (561.9%) e6 = -1.61101e-09 +/- 8.106e-10 (50.32%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:31:48 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 = 26155 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 1.9087244198e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8446208706e+05 -3.35e-01 1.20e-02 1.288004e+01 -1.979634e-02 1.381462e-04 -1.377135e-07 -1.569176e-09 After 11 iterations the fit converged. final sum of squares of residuals : 284462 rel. change during last iteration : -3.35161e-06 degrees of freedom (FIT_NDF) : 26150 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.2982 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8781 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 12.88 +/- 0.3255 (2.527%) b7 = -0.0197963 +/- 0.01108 (55.98%) c7 = 0.000138146 +/- 0.0001225 (88.7%) d7 = -1.37713e-07 +/- 5.391e-07 (391.4%) e7 = -1.56918e-09 +/- 8.165e-10 (52.03%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:31:56 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 = 26154 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 1.9097951840e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8067487731e+05 -3.30e-01 1.20e-02 1.270082e+01 -1.562725e-02 8.635855e-05 1.084992e-07 -1.952629e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280675 rel. change during last iteration : -3.29915e-06 degrees of freedom (FIT_NDF) : 26149 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27623 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7337 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 12.7008 +/- 0.3233 (2.546%) b8 = -0.0156272 +/- 0.01101 (70.43%) c8 = 8.63585e-05 +/- 0.0001217 (140.9%) d8 = 1.08499e-07 +/- 5.353e-07 (493.3%) e8 = -1.95263e-09 +/- 8.106e-10 (41.52%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:32:04 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 = 26167 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 1.9126899370e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7671788884e+05 -3.36e-01 1.20e-02 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 After 11 iterations the fit converged. final sum of squares of residuals : 276718 rel. change during last iteration : -3.35565e-06 degrees of freedom (FIT_NDF) : 26162 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25224 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5771 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6999 +/- 0.3209 (2.527%) b9 = -0.0206051 +/- 0.01093 (53.02%) c9 = 0.000151876 +/- 0.0001208 (79.53%) d9 = -2.20358e-07 +/- 5.314e-07 (241.1%) e9 = -1.40428e-09 +/- 8.048e-10 (57.31%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:32:12 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 = 26164 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 1.9119307992e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7558449606e+05 -3.33e-01 1.20e-02 1.263042e+01 -1.769074e-02 1.140228e-04 -3.422772e-08 -1.701203e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275584 rel. change during last iteration : -3.32835e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24576 variance of residuals (reduced chisquare) = WSSR/ndf : 10.535 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 12.6304 +/- 0.3203 (2.536%) b10 = -0.0176907 +/- 0.01091 (61.64%) c10 = 0.000114023 +/- 0.0001206 (105.7%) d10 = -3.42277e-08 +/- 5.304e-07 (1550%) e10 = -1.7012e-09 +/- 8.034e-10 (47.22%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:32:20 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 = 26171 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 1.9128964454e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8102822281e+05 -3.37e-01 1.20e-02 1.281435e+01 -2.100266e-02 1.575436e-04 -2.501377e-07 -1.362418e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281028 rel. change during last iteration : -3.36939e-06 degrees of freedom (FIT_NDF) : 26166 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27723 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7402 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 12.8143 +/- 0.3234 (2.524%) b11 = -0.0210027 +/- 0.01101 (52.42%) c11 = 0.000157544 +/- 0.0001217 (77.27%) d11 = -2.50138e-07 +/- 5.355e-07 (214.1%) e11 = -1.36242e-09 +/- 8.111e-10 (59.53%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:32:28 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 = 26151 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 1.9058291649e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7464492180e+05 -3.37e-01 1.20e-02 1.271811e+01 -2.115225e-02 1.565565e-04 -2.330635e-07 -1.388285e-09 After 11 iterations the fit converged. final sum of squares of residuals : 274645 rel. change during last iteration : -3.36548e-06 degrees of freedom (FIT_NDF) : 26146 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24103 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5043 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 12.7181 +/- 0.3199 (2.515%) b12 = -0.0211523 +/- 0.01089 (51.49%) c12 = 0.000156556 +/- 0.0001204 (76.92%) d12 = -2.33064e-07 +/- 5.298e-07 (227.3%) e12 = -1.38828e-09 +/- 8.025e-10 (57.8%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 07:32:36 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 = 26147 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 2.7438765674e+05 0.00e+00 6.82e+00 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 2 2.7438100134e+05 -1.43e-02 6.82e-02 1.269837e+01 -2.045618e-02 1.482924e-04 -1.935575e-07 -1.456076e-09 After 2 iterations the fit converged. final sum of squares of residuals : 274381 rel. change during last iteration : -1.43278e-07 degrees of freedom (FIT_NDF) : 26142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23972 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4958 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6984 +/- 0.3198 (2.518%) b9 = -0.0204562 +/- 0.01089 (53.22%) c9 = 0.000148292 +/- 0.0001204 (81.18%) d9 = -1.93558e-07 +/- 5.296e-07 (273.6%) e9 = -1.45608e-09 +/- 8.023e-10 (55.1%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:24:35 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 = 26170 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 1.9142824276e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8503002977e+05 -3.39e-01 1.20e-02 1.292166e+01 -2.142364e-02 1.593498e-04 -2.418338e-07 -1.410583e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285030 rel. change during last iteration : -3.38876e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30054 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8936 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.9217 +/- 0.3257 (2.521%) b1 = -0.0214236 +/- 0.01109 (51.75%) c1 = 0.00015935 +/- 0.0001226 (76.93%) d1 = -2.41834e-07 +/- 5.392e-07 (223%) e1 = -1.41058e-09 +/- 8.167e-10 (57.9%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:24:43 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 = 26164 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 1.9116395093e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8157092930e+05 -3.37e-01 1.20e-02 1.284477e+01 -2.154857e-02 1.615422e-04 -2.583236e-07 -1.360807e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281571 rel. change during last iteration : -3.37489e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28083 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7638 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.8448 +/- 0.3237 (2.52%) b2 = -0.0215486 +/- 0.01102 (51.14%) c2 = 0.000161542 +/- 0.0001218 (75.43%) d2 = -2.58324e-07 +/- 5.36e-07 (207.5%) e2 = -1.36081e-09 +/- 8.118e-10 (59.65%) 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 08:24:51 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 = 26169 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 1.9125773453e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8543942580e+05 -3.38e-01 1.20e-02 1.293218e+01 -2.225303e-02 1.751090e-04 -3.451669e-07 -1.198551e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285439 rel. change during last iteration : -3.38391e-06 degrees of freedom (FIT_NDF) : 26164 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30297 variance of residuals (reduced chisquare) = WSSR/ndf : 10.9096 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 12.9322 +/- 0.326 (2.521%) b3 = -0.022253 +/- 0.0111 (49.87%) c3 = 0.000175109 +/- 0.0001227 (70.08%) d3 = -3.45167e-07 +/- 5.399e-07 (156.4%) e3 = -1.19855e-09 +/- 8.178e-10 (68.23%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:24:59 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 = 26170 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 1.9140424297e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8209690948e+05 -3.40e-01 1.20e-02 1.288789e+01 -2.350610e-02 1.885877e-04 -3.956643e-07 -1.138721e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282097 rel. change during last iteration : -3.40468e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28351 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7815 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 12.8879 +/- 0.3241 (2.514%) b4 = -0.0235061 +/- 0.01103 (46.93%) c4 = 0.000188588 +/- 0.000122 (64.68%) d4 = -3.95664e-07 +/- 5.366e-07 (135.6%) e4 = -1.13872e-09 +/- 8.127e-10 (71.37%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:25:07 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 = 26153 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 1.9087415200e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8315080045e+05 -3.36e-01 1.20e-02 1.286604e+01 -1.924478e-02 1.312563e-04 -1.026127e-07 -1.629565e-09 After 11 iterations the fit converged. final sum of squares of residuals : 283151 rel. change during last iteration : -3.36114e-06 degrees of freedom (FIT_NDF) : 26148 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.29071 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8288 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 12.866 +/- 0.3248 (2.525%) b5 = -0.0192448 +/- 0.01106 (57.46%) c5 = 0.000131256 +/- 0.0001223 (93.16%) d5 = -1.02613e-07 +/- 5.38e-07 (524.3%) e5 = -1.62956e-09 +/- 8.148e-10 (50%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:25:15 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 = 26160 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 1.9119434920e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8043691402e+05 -3.35e-01 1.20e-02 1.277193e+01 -1.866229e-02 1.264626e-04 -9.524392e-08 -1.611005e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280437 rel. change during last iteration : -3.35221e-06 degrees of freedom (FIT_NDF) : 26155 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27446 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7221 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 12.7719 +/- 0.3232 (2.53%) b6 = -0.0186623 +/- 0.011 (58.95%) c6 = 0.000126463 +/- 0.0001216 (96.19%) d6 = -9.52439e-08 +/- 5.352e-07 (561.9%) e6 = -1.61101e-09 +/- 8.106e-10 (50.32%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:25:22 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 = 26155 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 1.9087244198e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8446208706e+05 -3.35e-01 1.20e-02 1.288004e+01 -1.979634e-02 1.381462e-04 -1.377135e-07 -1.569176e-09 After 11 iterations the fit converged. final sum of squares of residuals : 284462 rel. change during last iteration : -3.35161e-06 degrees of freedom (FIT_NDF) : 26150 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.2982 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8781 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 12.88 +/- 0.3255 (2.527%) b7 = -0.0197963 +/- 0.01108 (55.98%) c7 = 0.000138146 +/- 0.0001225 (88.7%) d7 = -1.37713e-07 +/- 5.391e-07 (391.4%) e7 = -1.56918e-09 +/- 8.165e-10 (52.03%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:25:30 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 = 26154 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 1.9097951840e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8067487731e+05 -3.30e-01 1.20e-02 1.270082e+01 -1.562725e-02 8.635855e-05 1.084992e-07 -1.952629e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280675 rel. change during last iteration : -3.29915e-06 degrees of freedom (FIT_NDF) : 26149 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27623 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7337 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 12.7008 +/- 0.3233 (2.546%) b8 = -0.0156272 +/- 0.01101 (70.43%) c8 = 8.63585e-05 +/- 0.0001217 (140.9%) d8 = 1.08499e-07 +/- 5.353e-07 (493.3%) e8 = -1.95263e-09 +/- 8.106e-10 (41.52%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:25:38 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 = 26167 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 1.9126899370e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7671788884e+05 -3.36e-01 1.20e-02 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 After 11 iterations the fit converged. final sum of squares of residuals : 276718 rel. change during last iteration : -3.35565e-06 degrees of freedom (FIT_NDF) : 26162 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25224 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5771 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6999 +/- 0.3209 (2.527%) b9 = -0.0206051 +/- 0.01093 (53.02%) c9 = 0.000151876 +/- 0.0001208 (79.53%) d9 = -2.20358e-07 +/- 5.314e-07 (241.1%) e9 = -1.40428e-09 +/- 8.048e-10 (57.31%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:25:46 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 = 26164 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 1.9119307992e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7558449606e+05 -3.33e-01 1.20e-02 1.263042e+01 -1.769074e-02 1.140228e-04 -3.422772e-08 -1.701203e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275584 rel. change during last iteration : -3.32835e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24576 variance of residuals (reduced chisquare) = WSSR/ndf : 10.535 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 12.6304 +/- 0.3203 (2.536%) b10 = -0.0176907 +/- 0.01091 (61.64%) c10 = 0.000114023 +/- 0.0001206 (105.7%) d10 = -3.42277e-08 +/- 5.304e-07 (1550%) e10 = -1.7012e-09 +/- 8.034e-10 (47.22%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:25:54 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 = 26171 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 1.9128964454e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8102822281e+05 -3.37e-01 1.20e-02 1.281435e+01 -2.100266e-02 1.575436e-04 -2.501377e-07 -1.362418e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281028 rel. change during last iteration : -3.36939e-06 degrees of freedom (FIT_NDF) : 26166 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27723 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7402 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 12.8143 +/- 0.3234 (2.524%) b11 = -0.0210027 +/- 0.01101 (52.42%) c11 = 0.000157544 +/- 0.0001217 (77.27%) d11 = -2.50138e-07 +/- 5.355e-07 (214.1%) e11 = -1.36242e-09 +/- 8.111e-10 (59.53%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:26:02 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 = 26151 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 1.9058291649e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7464492180e+05 -3.37e-01 1.20e-02 1.271811e+01 -2.115225e-02 1.565565e-04 -2.330635e-07 -1.388285e-09 After 11 iterations the fit converged. final sum of squares of residuals : 274645 rel. change during last iteration : -3.36548e-06 degrees of freedom (FIT_NDF) : 26146 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24103 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5043 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 12.7181 +/- 0.3199 (2.515%) b12 = -0.0211523 +/- 0.01089 (51.49%) c12 = 0.000156556 +/- 0.0001204 (76.92%) d12 = -2.33064e-07 +/- 5.298e-07 (227.3%) e12 = -1.38828e-09 +/- 8.025e-10 (57.8%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:26:10 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 = 26147 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 2.7438765674e+05 0.00e+00 6.82e+00 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 2 2.7438100134e+05 -1.43e-02 6.82e-02 1.269837e+01 -2.045618e-02 1.482924e-04 -1.935575e-07 -1.456076e-09 After 2 iterations the fit converged. final sum of squares of residuals : 274381 rel. change during last iteration : -1.43278e-07 degrees of freedom (FIT_NDF) : 26142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23972 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4958 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6984 +/- 0.3198 (2.518%) b9 = -0.0204562 +/- 0.01089 (53.22%) c9 = 0.000148292 +/- 0.0001204 (81.18%) d9 = -1.93558e-07 +/- 5.296e-07 (273.6%) e9 = -1.45608e-09 +/- 8.023e-10 (55.1%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:36:33 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 = 26170 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 1.9142824276e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8503002977e+05 -3.39e-01 1.20e-02 1.292166e+01 -2.142364e-02 1.593498e-04 -2.418338e-07 -1.410583e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285030 rel. change during last iteration : -3.38876e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30054 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8936 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.9217 +/- 0.3257 (2.521%) b1 = -0.0214236 +/- 0.01109 (51.75%) c1 = 0.00015935 +/- 0.0001226 (76.93%) d1 = -2.41834e-07 +/- 5.392e-07 (223%) e1 = -1.41058e-09 +/- 8.167e-10 (57.9%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:36:41 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 = 26164 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 1.9116395093e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8157092930e+05 -3.37e-01 1.20e-02 1.284477e+01 -2.154857e-02 1.615422e-04 -2.583236e-07 -1.360807e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281571 rel. change during last iteration : -3.37489e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28083 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7638 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.8448 +/- 0.3237 (2.52%) b2 = -0.0215486 +/- 0.01102 (51.14%) c2 = 0.000161542 +/- 0.0001218 (75.43%) d2 = -2.58324e-07 +/- 5.36e-07 (207.5%) e2 = -1.36081e-09 +/- 8.118e-10 (59.65%) 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 08:36:49 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 = 26169 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 1.9125773453e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8543942580e+05 -3.38e-01 1.20e-02 1.293218e+01 -2.225303e-02 1.751090e-04 -3.451669e-07 -1.198551e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285439 rel. change during last iteration : -3.38391e-06 degrees of freedom (FIT_NDF) : 26164 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30297 variance of residuals (reduced chisquare) = WSSR/ndf : 10.9096 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 12.9322 +/- 0.326 (2.521%) b3 = -0.022253 +/- 0.0111 (49.87%) c3 = 0.000175109 +/- 0.0001227 (70.08%) d3 = -3.45167e-07 +/- 5.399e-07 (156.4%) e3 = -1.19855e-09 +/- 8.178e-10 (68.23%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:36:56 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 = 26170 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 1.9140424297e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8209690948e+05 -3.40e-01 1.20e-02 1.288789e+01 -2.350610e-02 1.885877e-04 -3.956643e-07 -1.138721e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282097 rel. change during last iteration : -3.40468e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28351 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7815 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 12.8879 +/- 0.3241 (2.514%) b4 = -0.0235061 +/- 0.01103 (46.93%) c4 = 0.000188588 +/- 0.000122 (64.68%) d4 = -3.95664e-07 +/- 5.366e-07 (135.6%) e4 = -1.13872e-09 +/- 8.127e-10 (71.37%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:37:04 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 = 26153 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 1.9087415200e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8315080045e+05 -3.36e-01 1.20e-02 1.286604e+01 -1.924478e-02 1.312563e-04 -1.026127e-07 -1.629565e-09 After 11 iterations the fit converged. final sum of squares of residuals : 283151 rel. change during last iteration : -3.36114e-06 degrees of freedom (FIT_NDF) : 26148 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.29071 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8288 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 12.866 +/- 0.3248 (2.525%) b5 = -0.0192448 +/- 0.01106 (57.46%) c5 = 0.000131256 +/- 0.0001223 (93.16%) d5 = -1.02613e-07 +/- 5.38e-07 (524.3%) e5 = -1.62956e-09 +/- 8.148e-10 (50%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:37:12 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 = 26160 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 1.9119434920e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8043691402e+05 -3.35e-01 1.20e-02 1.277193e+01 -1.866229e-02 1.264626e-04 -9.524392e-08 -1.611005e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280437 rel. change during last iteration : -3.35221e-06 degrees of freedom (FIT_NDF) : 26155 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27446 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7221 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 12.7719 +/- 0.3232 (2.53%) b6 = -0.0186623 +/- 0.011 (58.95%) c6 = 0.000126463 +/- 0.0001216 (96.19%) d6 = -9.52439e-08 +/- 5.352e-07 (561.9%) e6 = -1.61101e-09 +/- 8.106e-10 (50.32%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:37:20 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 = 26155 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 1.9087244198e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8446208706e+05 -3.35e-01 1.20e-02 1.288004e+01 -1.979634e-02 1.381462e-04 -1.377135e-07 -1.569176e-09 After 11 iterations the fit converged. final sum of squares of residuals : 284462 rel. change during last iteration : -3.35161e-06 degrees of freedom (FIT_NDF) : 26150 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.2982 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8781 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 12.88 +/- 0.3255 (2.527%) b7 = -0.0197963 +/- 0.01108 (55.98%) c7 = 0.000138146 +/- 0.0001225 (88.7%) d7 = -1.37713e-07 +/- 5.391e-07 (391.4%) e7 = -1.56918e-09 +/- 8.165e-10 (52.03%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:37:28 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 = 26154 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 1.9097951840e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8067487731e+05 -3.30e-01 1.20e-02 1.270082e+01 -1.562725e-02 8.635855e-05 1.084992e-07 -1.952629e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280675 rel. change during last iteration : -3.29915e-06 degrees of freedom (FIT_NDF) : 26149 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27623 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7337 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 12.7008 +/- 0.3233 (2.546%) b8 = -0.0156272 +/- 0.01101 (70.43%) c8 = 8.63585e-05 +/- 0.0001217 (140.9%) d8 = 1.08499e-07 +/- 5.353e-07 (493.3%) e8 = -1.95263e-09 +/- 8.106e-10 (41.52%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:37:36 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 = 26167 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 1.9126899370e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7671788884e+05 -3.36e-01 1.20e-02 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 After 11 iterations the fit converged. final sum of squares of residuals : 276718 rel. change during last iteration : -3.35565e-06 degrees of freedom (FIT_NDF) : 26162 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25224 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5771 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6999 +/- 0.3209 (2.527%) b9 = -0.0206051 +/- 0.01093 (53.02%) c9 = 0.000151876 +/- 0.0001208 (79.53%) d9 = -2.20358e-07 +/- 5.314e-07 (241.1%) e9 = -1.40428e-09 +/- 8.048e-10 (57.31%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:37:44 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 = 26164 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 1.9119307992e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7558449606e+05 -3.33e-01 1.20e-02 1.263042e+01 -1.769074e-02 1.140228e-04 -3.422772e-08 -1.701203e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275584 rel. change during last iteration : -3.32835e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24576 variance of residuals (reduced chisquare) = WSSR/ndf : 10.535 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 12.6304 +/- 0.3203 (2.536%) b10 = -0.0176907 +/- 0.01091 (61.64%) c10 = 0.000114023 +/- 0.0001206 (105.7%) d10 = -3.42277e-08 +/- 5.304e-07 (1550%) e10 = -1.7012e-09 +/- 8.034e-10 (47.22%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:37:51 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 = 26171 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 1.9128964454e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8102822281e+05 -3.37e-01 1.20e-02 1.281435e+01 -2.100266e-02 1.575436e-04 -2.501377e-07 -1.362418e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281028 rel. change during last iteration : -3.36939e-06 degrees of freedom (FIT_NDF) : 26166 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27723 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7402 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 12.8143 +/- 0.3234 (2.524%) b11 = -0.0210027 +/- 0.01101 (52.42%) c11 = 0.000157544 +/- 0.0001217 (77.27%) d11 = -2.50138e-07 +/- 5.355e-07 (214.1%) e11 = -1.36242e-09 +/- 8.111e-10 (59.53%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:37:59 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 = 26151 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 1.9058291649e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7464492180e+05 -3.37e-01 1.20e-02 1.271811e+01 -2.115225e-02 1.565565e-04 -2.330635e-07 -1.388285e-09 After 11 iterations the fit converged. final sum of squares of residuals : 274645 rel. change during last iteration : -3.36548e-06 degrees of freedom (FIT_NDF) : 26146 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24103 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5043 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 12.7181 +/- 0.3199 (2.515%) b12 = -0.0211523 +/- 0.01089 (51.49%) c12 = 0.000156556 +/- 0.0001204 (76.92%) d12 = -2.33064e-07 +/- 5.298e-07 (227.3%) e12 = -1.38828e-09 +/- 8.025e-10 (57.8%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:38:07 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 = 26147 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 2.7438765674e+05 0.00e+00 6.82e+00 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 2 2.7438100134e+05 -1.43e-02 6.82e-02 1.269837e+01 -2.045618e-02 1.482924e-04 -1.935575e-07 -1.456076e-09 After 2 iterations the fit converged. final sum of squares of residuals : 274381 rel. change during last iteration : -1.43278e-07 degrees of freedom (FIT_NDF) : 26142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23972 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4958 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6984 +/- 0.3198 (2.518%) b9 = -0.0204562 +/- 0.01089 (53.22%) c9 = 0.000148292 +/- 0.0001204 (81.18%) d9 = -1.93558e-07 +/- 5.296e-07 (273.6%) e9 = -1.45608e-09 +/- 8.023e-10 (55.1%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:39:37 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 = 26170 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 1.9142824276e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8503002977e+05 -3.39e-01 1.20e-02 1.292166e+01 -2.142364e-02 1.593498e-04 -2.418338e-07 -1.410583e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285030 rel. change during last iteration : -3.38876e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30054 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8936 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.9217 +/- 0.3257 (2.521%) b1 = -0.0214236 +/- 0.01109 (51.75%) c1 = 0.00015935 +/- 0.0001226 (76.93%) d1 = -2.41834e-07 +/- 5.392e-07 (223%) e1 = -1.41058e-09 +/- 8.167e-10 (57.9%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:39:45 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 = 26164 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 1.9116395093e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8157092930e+05 -3.37e-01 1.20e-02 1.284477e+01 -2.154857e-02 1.615422e-04 -2.583236e-07 -1.360807e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281571 rel. change during last iteration : -3.37489e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28083 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7638 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.8448 +/- 0.3237 (2.52%) b2 = -0.0215486 +/- 0.01102 (51.14%) c2 = 0.000161542 +/- 0.0001218 (75.43%) d2 = -2.58324e-07 +/- 5.36e-07 (207.5%) e2 = -1.36081e-09 +/- 8.118e-10 (59.65%) 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 08:39:53 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 = 26169 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 1.9125773453e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8543942580e+05 -3.38e-01 1.20e-02 1.293218e+01 -2.225303e-02 1.751090e-04 -3.451669e-07 -1.198551e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285439 rel. change during last iteration : -3.38391e-06 degrees of freedom (FIT_NDF) : 26164 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30297 variance of residuals (reduced chisquare) = WSSR/ndf : 10.9096 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 12.9322 +/- 0.326 (2.521%) b3 = -0.022253 +/- 0.0111 (49.87%) c3 = 0.000175109 +/- 0.0001227 (70.08%) d3 = -3.45167e-07 +/- 5.399e-07 (156.4%) e3 = -1.19855e-09 +/- 8.178e-10 (68.23%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:40:00 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 = 26170 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 1.9140424297e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8209690948e+05 -3.40e-01 1.20e-02 1.288789e+01 -2.350610e-02 1.885877e-04 -3.956643e-07 -1.138721e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282097 rel. change during last iteration : -3.40468e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28351 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7815 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 12.8879 +/- 0.3241 (2.514%) b4 = -0.0235061 +/- 0.01103 (46.93%) c4 = 0.000188588 +/- 0.000122 (64.68%) d4 = -3.95664e-07 +/- 5.366e-07 (135.6%) e4 = -1.13872e-09 +/- 8.127e-10 (71.37%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:40:09 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 = 26153 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 1.9087415200e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8315080045e+05 -3.36e-01 1.20e-02 1.286604e+01 -1.924478e-02 1.312563e-04 -1.026127e-07 -1.629565e-09 After 11 iterations the fit converged. final sum of squares of residuals : 283151 rel. change during last iteration : -3.36114e-06 degrees of freedom (FIT_NDF) : 26148 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.29071 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8288 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 12.866 +/- 0.3248 (2.525%) b5 = -0.0192448 +/- 0.01106 (57.46%) c5 = 0.000131256 +/- 0.0001223 (93.16%) d5 = -1.02613e-07 +/- 5.38e-07 (524.3%) e5 = -1.62956e-09 +/- 8.148e-10 (50%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:40:16 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 = 26160 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 1.9119434920e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8043691402e+05 -3.35e-01 1.20e-02 1.277193e+01 -1.866229e-02 1.264626e-04 -9.524392e-08 -1.611005e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280437 rel. change during last iteration : -3.35221e-06 degrees of freedom (FIT_NDF) : 26155 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27446 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7221 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 12.7719 +/- 0.3232 (2.53%) b6 = -0.0186623 +/- 0.011 (58.95%) c6 = 0.000126463 +/- 0.0001216 (96.19%) d6 = -9.52439e-08 +/- 5.352e-07 (561.9%) e6 = -1.61101e-09 +/- 8.106e-10 (50.32%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:40:24 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 = 26155 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 1.9087244198e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8446208706e+05 -3.35e-01 1.20e-02 1.288004e+01 -1.979634e-02 1.381462e-04 -1.377135e-07 -1.569176e-09 After 11 iterations the fit converged. final sum of squares of residuals : 284462 rel. change during last iteration : -3.35161e-06 degrees of freedom (FIT_NDF) : 26150 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.2982 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8781 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 12.88 +/- 0.3255 (2.527%) b7 = -0.0197963 +/- 0.01108 (55.98%) c7 = 0.000138146 +/- 0.0001225 (88.7%) d7 = -1.37713e-07 +/- 5.391e-07 (391.4%) e7 = -1.56918e-09 +/- 8.165e-10 (52.03%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:40:32 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 = 26154 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 1.9097951840e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8067487731e+05 -3.30e-01 1.20e-02 1.270082e+01 -1.562725e-02 8.635855e-05 1.084992e-07 -1.952629e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280675 rel. change during last iteration : -3.29915e-06 degrees of freedom (FIT_NDF) : 26149 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27623 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7337 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 12.7008 +/- 0.3233 (2.546%) b8 = -0.0156272 +/- 0.01101 (70.43%) c8 = 8.63585e-05 +/- 0.0001217 (140.9%) d8 = 1.08499e-07 +/- 5.353e-07 (493.3%) e8 = -1.95263e-09 +/- 8.106e-10 (41.52%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:40:40 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 = 26167 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 1.9126899370e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7671788884e+05 -3.36e-01 1.20e-02 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 After 11 iterations the fit converged. final sum of squares of residuals : 276718 rel. change during last iteration : -3.35565e-06 degrees of freedom (FIT_NDF) : 26162 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25224 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5771 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6999 +/- 0.3209 (2.527%) b9 = -0.0206051 +/- 0.01093 (53.02%) c9 = 0.000151876 +/- 0.0001208 (79.53%) d9 = -2.20358e-07 +/- 5.314e-07 (241.1%) e9 = -1.40428e-09 +/- 8.048e-10 (57.31%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:40:48 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 = 26164 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 1.9119307992e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7558449606e+05 -3.33e-01 1.20e-02 1.263042e+01 -1.769074e-02 1.140228e-04 -3.422772e-08 -1.701203e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275584 rel. change during last iteration : -3.32835e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24576 variance of residuals (reduced chisquare) = WSSR/ndf : 10.535 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 12.6304 +/- 0.3203 (2.536%) b10 = -0.0176907 +/- 0.01091 (61.64%) c10 = 0.000114023 +/- 0.0001206 (105.7%) d10 = -3.42277e-08 +/- 5.304e-07 (1550%) e10 = -1.7012e-09 +/- 8.034e-10 (47.22%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:40:56 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 = 26171 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 1.9128964454e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8102822281e+05 -3.37e-01 1.20e-02 1.281435e+01 -2.100266e-02 1.575436e-04 -2.501377e-07 -1.362418e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281028 rel. change during last iteration : -3.36939e-06 degrees of freedom (FIT_NDF) : 26166 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27723 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7402 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 12.8143 +/- 0.3234 (2.524%) b11 = -0.0210027 +/- 0.01101 (52.42%) c11 = 0.000157544 +/- 0.0001217 (77.27%) d11 = -2.50138e-07 +/- 5.355e-07 (214.1%) e11 = -1.36242e-09 +/- 8.111e-10 (59.53%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:41:03 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 = 26151 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 1.9058291649e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7464492180e+05 -3.37e-01 1.20e-02 1.271811e+01 -2.115225e-02 1.565565e-04 -2.330635e-07 -1.388285e-09 After 11 iterations the fit converged. final sum of squares of residuals : 274645 rel. change during last iteration : -3.36548e-06 degrees of freedom (FIT_NDF) : 26146 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24103 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5043 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 12.7181 +/- 0.3199 (2.515%) b12 = -0.0211523 +/- 0.01089 (51.49%) c12 = 0.000156556 +/- 0.0001204 (76.92%) d12 = -2.33064e-07 +/- 5.298e-07 (227.3%) e12 = -1.38828e-09 +/- 8.025e-10 (57.8%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:41:11 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 = 26147 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 2.7438765674e+05 0.00e+00 6.82e+00 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 2 2.7438100134e+05 -1.43e-02 6.82e-02 1.269837e+01 -2.045618e-02 1.482924e-04 -1.935575e-07 -1.456076e-09 After 2 iterations the fit converged. final sum of squares of residuals : 274381 rel. change during last iteration : -1.43278e-07 degrees of freedom (FIT_NDF) : 26142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23972 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4958 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6984 +/- 0.3198 (2.518%) b9 = -0.0204562 +/- 0.01089 (53.22%) c9 = 0.000148292 +/- 0.0001204 (81.18%) d9 = -1.93558e-07 +/- 5.296e-07 (273.6%) e9 = -1.45608e-09 +/- 8.023e-10 (55.1%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:42:53 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 = 26170 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 1.9142824276e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8503002977e+05 -3.39e-01 1.20e-02 1.292166e+01 -2.142364e-02 1.593498e-04 -2.418338e-07 -1.410583e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285030 rel. change during last iteration : -3.38876e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30054 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8936 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.9217 +/- 0.3257 (2.521%) b1 = -0.0214236 +/- 0.01109 (51.75%) c1 = 0.00015935 +/- 0.0001226 (76.93%) d1 = -2.41834e-07 +/- 5.392e-07 (223%) e1 = -1.41058e-09 +/- 8.167e-10 (57.9%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:43:01 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 = 26164 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 1.9116395093e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8157092930e+05 -3.37e-01 1.20e-02 1.284477e+01 -2.154857e-02 1.615422e-04 -2.583236e-07 -1.360807e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281571 rel. change during last iteration : -3.37489e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28083 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7638 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.8448 +/- 0.3237 (2.52%) b2 = -0.0215486 +/- 0.01102 (51.14%) c2 = 0.000161542 +/- 0.0001218 (75.43%) d2 = -2.58324e-07 +/- 5.36e-07 (207.5%) e2 = -1.36081e-09 +/- 8.118e-10 (59.65%) 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 08:43:09 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 = 26169 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 1.9125773453e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8543942580e+05 -3.38e-01 1.20e-02 1.293218e+01 -2.225303e-02 1.751090e-04 -3.451669e-07 -1.198551e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285439 rel. change during last iteration : -3.38391e-06 degrees of freedom (FIT_NDF) : 26164 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30297 variance of residuals (reduced chisquare) = WSSR/ndf : 10.9096 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 12.9322 +/- 0.326 (2.521%) b3 = -0.022253 +/- 0.0111 (49.87%) c3 = 0.000175109 +/- 0.0001227 (70.08%) d3 = -3.45167e-07 +/- 5.399e-07 (156.4%) e3 = -1.19855e-09 +/- 8.178e-10 (68.23%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:43:17 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 = 26170 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 1.9140424297e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8209690948e+05 -3.40e-01 1.20e-02 1.288789e+01 -2.350610e-02 1.885877e-04 -3.956643e-07 -1.138721e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282097 rel. change during last iteration : -3.40468e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28351 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7815 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 12.8879 +/- 0.3241 (2.514%) b4 = -0.0235061 +/- 0.01103 (46.93%) c4 = 0.000188588 +/- 0.000122 (64.68%) d4 = -3.95664e-07 +/- 5.366e-07 (135.6%) e4 = -1.13872e-09 +/- 8.127e-10 (71.37%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:43:25 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 = 26153 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 1.9087415200e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8315080045e+05 -3.36e-01 1.20e-02 1.286604e+01 -1.924478e-02 1.312563e-04 -1.026127e-07 -1.629565e-09 After 11 iterations the fit converged. final sum of squares of residuals : 283151 rel. change during last iteration : -3.36114e-06 degrees of freedom (FIT_NDF) : 26148 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.29071 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8288 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 12.866 +/- 0.3248 (2.525%) b5 = -0.0192448 +/- 0.01106 (57.46%) c5 = 0.000131256 +/- 0.0001223 (93.16%) d5 = -1.02613e-07 +/- 5.38e-07 (524.3%) e5 = -1.62956e-09 +/- 8.148e-10 (50%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:43:33 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 = 26160 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 1.9119434920e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8043691402e+05 -3.35e-01 1.20e-02 1.277193e+01 -1.866229e-02 1.264626e-04 -9.524392e-08 -1.611005e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280437 rel. change during last iteration : -3.35221e-06 degrees of freedom (FIT_NDF) : 26155 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27446 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7221 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 12.7719 +/- 0.3232 (2.53%) b6 = -0.0186623 +/- 0.011 (58.95%) c6 = 0.000126463 +/- 0.0001216 (96.19%) d6 = -9.52439e-08 +/- 5.352e-07 (561.9%) e6 = -1.61101e-09 +/- 8.106e-10 (50.32%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:43:41 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 = 26155 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 1.9087244198e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8446208706e+05 -3.35e-01 1.20e-02 1.288004e+01 -1.979634e-02 1.381462e-04 -1.377135e-07 -1.569176e-09 After 11 iterations the fit converged. final sum of squares of residuals : 284462 rel. change during last iteration : -3.35161e-06 degrees of freedom (FIT_NDF) : 26150 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.2982 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8781 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 12.88 +/- 0.3255 (2.527%) b7 = -0.0197963 +/- 0.01108 (55.98%) c7 = 0.000138146 +/- 0.0001225 (88.7%) d7 = -1.37713e-07 +/- 5.391e-07 (391.4%) e7 = -1.56918e-09 +/- 8.165e-10 (52.03%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:43:49 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 = 26154 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 1.9097951840e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8067487731e+05 -3.30e-01 1.20e-02 1.270082e+01 -1.562725e-02 8.635855e-05 1.084992e-07 -1.952629e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280675 rel. change during last iteration : -3.29915e-06 degrees of freedom (FIT_NDF) : 26149 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27623 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7337 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 12.7008 +/- 0.3233 (2.546%) b8 = -0.0156272 +/- 0.01101 (70.43%) c8 = 8.63585e-05 +/- 0.0001217 (140.9%) d8 = 1.08499e-07 +/- 5.353e-07 (493.3%) e8 = -1.95263e-09 +/- 8.106e-10 (41.52%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:43:56 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 = 26167 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 1.9126899370e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7671788884e+05 -3.36e-01 1.20e-02 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 After 11 iterations the fit converged. final sum of squares of residuals : 276718 rel. change during last iteration : -3.35565e-06 degrees of freedom (FIT_NDF) : 26162 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25224 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5771 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6999 +/- 0.3209 (2.527%) b9 = -0.0206051 +/- 0.01093 (53.02%) c9 = 0.000151876 +/- 0.0001208 (79.53%) d9 = -2.20358e-07 +/- 5.314e-07 (241.1%) e9 = -1.40428e-09 +/- 8.048e-10 (57.31%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:44:04 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 = 26164 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 1.9119307992e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7558449606e+05 -3.33e-01 1.20e-02 1.263042e+01 -1.769074e-02 1.140228e-04 -3.422772e-08 -1.701203e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275584 rel. change during last iteration : -3.32835e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24576 variance of residuals (reduced chisquare) = WSSR/ndf : 10.535 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 12.6304 +/- 0.3203 (2.536%) b10 = -0.0176907 +/- 0.01091 (61.64%) c10 = 0.000114023 +/- 0.0001206 (105.7%) d10 = -3.42277e-08 +/- 5.304e-07 (1550%) e10 = -1.7012e-09 +/- 8.034e-10 (47.22%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:44:12 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 = 26171 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 1.9128964454e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8102822281e+05 -3.37e-01 1.20e-02 1.281435e+01 -2.100266e-02 1.575436e-04 -2.501377e-07 -1.362418e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281028 rel. change during last iteration : -3.36939e-06 degrees of freedom (FIT_NDF) : 26166 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27723 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7402 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 12.8143 +/- 0.3234 (2.524%) b11 = -0.0210027 +/- 0.01101 (52.42%) c11 = 0.000157544 +/- 0.0001217 (77.27%) d11 = -2.50138e-07 +/- 5.355e-07 (214.1%) e11 = -1.36242e-09 +/- 8.111e-10 (59.53%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:44:20 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 = 26151 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 1.9058291649e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7464492180e+05 -3.37e-01 1.20e-02 1.271811e+01 -2.115225e-02 1.565565e-04 -2.330635e-07 -1.388285e-09 After 11 iterations the fit converged. final sum of squares of residuals : 274645 rel. change during last iteration : -3.36548e-06 degrees of freedom (FIT_NDF) : 26146 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24103 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5043 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 12.7181 +/- 0.3199 (2.515%) b12 = -0.0211523 +/- 0.01089 (51.49%) c12 = 0.000156556 +/- 0.0001204 (76.92%) d12 = -2.33064e-07 +/- 5.298e-07 (227.3%) e12 = -1.38828e-09 +/- 8.025e-10 (57.8%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:44:28 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 = 26147 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 2.7438765674e+05 0.00e+00 6.82e+00 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 2 2.7438100134e+05 -1.43e-02 6.82e-02 1.269837e+01 -2.045618e-02 1.482924e-04 -1.935575e-07 -1.456076e-09 After 2 iterations the fit converged. final sum of squares of residuals : 274381 rel. change during last iteration : -1.43278e-07 degrees of freedom (FIT_NDF) : 26142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23972 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4958 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6984 +/- 0.3198 (2.518%) b9 = -0.0204562 +/- 0.01089 (53.22%) c9 = 0.000148292 +/- 0.0001204 (81.18%) d9 = -1.93558e-07 +/- 5.296e-07 (273.6%) e9 = -1.45608e-09 +/- 8.023e-10 (55.1%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:46:28 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 = 26170 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 1.9142824276e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8503002977e+05 -3.39e-01 1.20e-02 1.292166e+01 -2.142364e-02 1.593498e-04 -2.418338e-07 -1.410583e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285030 rel. change during last iteration : -3.38876e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30054 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8936 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 12.9217 +/- 0.3257 (2.521%) b1 = -0.0214236 +/- 0.01109 (51.75%) c1 = 0.00015935 +/- 0.0001226 (76.93%) d1 = -2.41834e-07 +/- 5.392e-07 (223%) e1 = -1.41058e-09 +/- 8.167e-10 (57.9%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:46:36 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 = 26164 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 1.9116395093e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8157092930e+05 -3.37e-01 1.20e-02 1.284477e+01 -2.154857e-02 1.615422e-04 -2.583236e-07 -1.360807e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281571 rel. change during last iteration : -3.37489e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28083 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7638 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 12.8448 +/- 0.3237 (2.52%) b2 = -0.0215486 +/- 0.01102 (51.14%) c2 = 0.000161542 +/- 0.0001218 (75.43%) d2 = -2.58324e-07 +/- 5.36e-07 (207.5%) e2 = -1.36081e-09 +/- 8.118e-10 (59.65%) 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 08:46:44 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 = 26169 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 1.9125773453e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8543942580e+05 -3.38e-01 1.20e-02 1.293218e+01 -2.225303e-02 1.751090e-04 -3.451669e-07 -1.198551e-09 After 11 iterations the fit converged. final sum of squares of residuals : 285439 rel. change during last iteration : -3.38391e-06 degrees of freedom (FIT_NDF) : 26164 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.30297 variance of residuals (reduced chisquare) = WSSR/ndf : 10.9096 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 12.9322 +/- 0.326 (2.521%) b3 = -0.022253 +/- 0.0111 (49.87%) c3 = 0.000175109 +/- 0.0001227 (70.08%) d3 = -3.45167e-07 +/- 5.399e-07 (156.4%) e3 = -1.19855e-09 +/- 8.178e-10 (68.23%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:46:52 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 = 26170 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 1.9140424297e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8209690948e+05 -3.40e-01 1.20e-02 1.288789e+01 -2.350610e-02 1.885877e-04 -3.956643e-07 -1.138721e-09 After 11 iterations the fit converged. final sum of squares of residuals : 282097 rel. change during last iteration : -3.40468e-06 degrees of freedom (FIT_NDF) : 26165 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.28351 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7815 Final set of parameters Asymptotic Standard Error ======================= ========================== a4 = 12.8879 +/- 0.3241 (2.514%) b4 = -0.0235061 +/- 0.01103 (46.93%) c4 = 0.000188588 +/- 0.000122 (64.68%) d4 = -3.95664e-07 +/- 5.366e-07 (135.6%) e4 = -1.13872e-09 +/- 8.127e-10 (71.37%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:47:00 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 = 26153 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 1.9087415200e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8315080045e+05 -3.36e-01 1.20e-02 1.286604e+01 -1.924478e-02 1.312563e-04 -1.026127e-07 -1.629565e-09 After 11 iterations the fit converged. final sum of squares of residuals : 283151 rel. change during last iteration : -3.36114e-06 degrees of freedom (FIT_NDF) : 26148 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.29071 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8288 Final set of parameters Asymptotic Standard Error ======================= ========================== a5 = 12.866 +/- 0.3248 (2.525%) b5 = -0.0192448 +/- 0.01106 (57.46%) c5 = 0.000131256 +/- 0.0001223 (93.16%) d5 = -1.02613e-07 +/- 5.38e-07 (524.3%) e5 = -1.62956e-09 +/- 8.148e-10 (50%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:47:07 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 = 26160 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 1.9119434920e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8043691402e+05 -3.35e-01 1.20e-02 1.277193e+01 -1.866229e-02 1.264626e-04 -9.524392e-08 -1.611005e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280437 rel. change during last iteration : -3.35221e-06 degrees of freedom (FIT_NDF) : 26155 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27446 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7221 Final set of parameters Asymptotic Standard Error ======================= ========================== a6 = 12.7719 +/- 0.3232 (2.53%) b6 = -0.0186623 +/- 0.011 (58.95%) c6 = 0.000126463 +/- 0.0001216 (96.19%) d6 = -9.52439e-08 +/- 5.352e-07 (561.9%) e6 = -1.61101e-09 +/- 8.106e-10 (50.32%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:47:15 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 = 26155 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 1.9087244198e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8446208706e+05 -3.35e-01 1.20e-02 1.288004e+01 -1.979634e-02 1.381462e-04 -1.377135e-07 -1.569176e-09 After 11 iterations the fit converged. final sum of squares of residuals : 284462 rel. change during last iteration : -3.35161e-06 degrees of freedom (FIT_NDF) : 26150 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.2982 variance of residuals (reduced chisquare) = WSSR/ndf : 10.8781 Final set of parameters Asymptotic Standard Error ======================= ========================== a7 = 12.88 +/- 0.3255 (2.527%) b7 = -0.0197963 +/- 0.01108 (55.98%) c7 = 0.000138146 +/- 0.0001225 (88.7%) d7 = -1.37713e-07 +/- 5.391e-07 (391.4%) e7 = -1.56918e-09 +/- 8.165e-10 (52.03%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:47:23 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 = 26154 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 1.9097951840e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8067487731e+05 -3.30e-01 1.20e-02 1.270082e+01 -1.562725e-02 8.635855e-05 1.084992e-07 -1.952629e-09 After 11 iterations the fit converged. final sum of squares of residuals : 280675 rel. change during last iteration : -3.29915e-06 degrees of freedom (FIT_NDF) : 26149 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27623 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7337 Final set of parameters Asymptotic Standard Error ======================= ========================== a8 = 12.7008 +/- 0.3233 (2.546%) b8 = -0.0156272 +/- 0.01101 (70.43%) c8 = 8.63585e-05 +/- 0.0001217 (140.9%) d8 = 1.08499e-07 +/- 5.353e-07 (493.3%) e8 = -1.95263e-09 +/- 8.106e-10 (41.52%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:47:32 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 = 26167 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 1.9126899370e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7671788884e+05 -3.36e-01 1.20e-02 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 After 11 iterations the fit converged. final sum of squares of residuals : 276718 rel. change during last iteration : -3.35565e-06 degrees of freedom (FIT_NDF) : 26162 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25224 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5771 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6999 +/- 0.3209 (2.527%) b9 = -0.0206051 +/- 0.01093 (53.02%) c9 = 0.000151876 +/- 0.0001208 (79.53%) d9 = -2.20358e-07 +/- 5.314e-07 (241.1%) e9 = -1.40428e-09 +/- 8.048e-10 (57.31%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:47:39 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 = 26164 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 1.9119307992e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7558449606e+05 -3.33e-01 1.20e-02 1.263042e+01 -1.769074e-02 1.140228e-04 -3.422772e-08 -1.701203e-09 After 11 iterations the fit converged. final sum of squares of residuals : 275584 rel. change during last iteration : -3.32835e-06 degrees of freedom (FIT_NDF) : 26159 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24576 variance of residuals (reduced chisquare) = WSSR/ndf : 10.535 Final set of parameters Asymptotic Standard Error ======================= ========================== a10 = 12.6304 +/- 0.3203 (2.536%) b10 = -0.0176907 +/- 0.01091 (61.64%) c10 = 0.000114023 +/- 0.0001206 (105.7%) d10 = -3.42277e-08 +/- 5.304e-07 (1550%) e10 = -1.7012e-09 +/- 8.034e-10 (47.22%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:47:47 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 = 26171 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 1.9128964454e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.8102822281e+05 -3.37e-01 1.20e-02 1.281435e+01 -2.100266e-02 1.575436e-04 -2.501377e-07 -1.362418e-09 After 11 iterations the fit converged. final sum of squares of residuals : 281028 rel. change during last iteration : -3.36939e-06 degrees of freedom (FIT_NDF) : 26166 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27723 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7402 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 12.8143 +/- 0.3234 (2.524%) b11 = -0.0210027 +/- 0.01101 (52.42%) c11 = 0.000157544 +/- 0.0001217 (77.27%) d11 = -2.50138e-07 +/- 5.355e-07 (214.1%) e11 = -1.36242e-09 +/- 8.111e-10 (59.53%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:47:55 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 = 26151 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 1.9058291649e+23 0.00e+00 1.20e+09 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 2.7464492180e+05 -3.37e-01 1.20e-02 1.271811e+01 -2.115225e-02 1.565565e-04 -2.330635e-07 -1.388285e-09 After 11 iterations the fit converged. final sum of squares of residuals : 274645 rel. change during last iteration : -3.36548e-06 degrees of freedom (FIT_NDF) : 26146 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24103 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5043 Final set of parameters Asymptotic Standard Error ======================= ========================== a12 = 12.7181 +/- 0.3199 (2.515%) b12 = -0.0211523 +/- 0.01089 (51.49%) c12 = 0.000156556 +/- 0.0001204 (76.92%) d12 = -2.33064e-07 +/- 5.298e-07 (227.3%) e12 = -1.38828e-09 +/- 8.025e-10 (57.8%) 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 0.848 -0.930 0.974 -0.995 1.000 ******************************************************************************* Tue Mar 24 08:48:03 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 = 26147 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 2.7438765674e+05 0.00e+00 6.82e+00 1.269990e+01 -2.060509e-02 1.518761e-04 -2.203578e-07 -1.404281e-09 2 2.7438100134e+05 -1.43e-02 6.82e-02 1.269837e+01 -2.045618e-02 1.482924e-04 -1.935575e-07 -1.456076e-09 After 2 iterations the fit converged. final sum of squares of residuals : 274381 rel. change during last iteration : -1.43278e-07 degrees of freedom (FIT_NDF) : 26142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23972 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4958 Final set of parameters Asymptotic Standard Error ======================= ========================== a9 = 12.6984 +/- 0.3198 (2.518%) b9 = -0.0204562 +/- 0.01089 (53.22%) c9 = 0.000148292 +/- 0.0001204 (81.18%) d9 = -1.93558e-07 +/- 5.296e-07 (273.6%) e9 = -1.45608e-09 +/- 8.023e-10 (55.1%) 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 0.848 -0.930 0.974 -0.995 1.000