******************************************************************************* Fri Mar 15 13:28:09 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.3274513341e+01 0.00e+00 5.09e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 4 2.4466224359e-01 -1.97e-01 5.09e-05 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -1.97073e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:29:31 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.3274513341e+01 0.00e+00 5.09e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 4 2.4466224359e-01 -1.97e-01 5.09e-05 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -1.97073e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:30:33 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4466224359e-01 0.00e+00 5.12e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 1 2.4466224359e-01 -4.99e-10 5.12e-02 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -4.99156e-15 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:31:22 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.588762 : 0.595730] #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4466224359e-01 0.00e+00 5.12e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 1 2.4466224359e-01 -3.86e-10 5.12e-02 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -3.85711e-15 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:31:37 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4466224359e-01 0.00e+00 5.12e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 1 2.4466224359e-01 -3.40e-10 5.12e-02 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -3.40333e-15 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:34:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.3274513341e+01 0.00e+00 5.09e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 4 2.4466224359e-01 -1.97e-01 5.09e-05 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -1.97073e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:35:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.600000 : 0.600000] #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4466224359e-01 0.00e+00 5.12e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 1 2.4466224359e-01 -4.99e-10 5.12e-02 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -4.99156e-15 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:36:17 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.597879 : 0.591730] #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4466224359e-01 0.00e+00 5.12e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 1 2.4466224359e-01 -3.86e-10 5.12e-02 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -3.85711e-15 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:36:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4466224359e-01 0.00e+00 5.12e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 1 2.4466224359e-01 -3.40e-10 5.12e-02 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -3.40333e-15 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:37:02 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.574554 : 0.593851] #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4466224359e-01 0.00e+00 5.12e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 1 2.4466224359e-01 -3.29e-10 5.12e-02 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -3.28989e-15 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:37:10 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4466224359e-01 0.00e+00 5.12e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 1 2.4466224359e-01 -3.74e-10 5.12e-02 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -3.74367e-15 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:38:18 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.357666 : 0.346382] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4143074031e-01 0.00e+00 4.28e-01 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 4 2.3410986526e-01 -1.32e-01 4.28e-05 -2.312390e+01 7.290203e-02 -1.581347e-02 2.057310e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : -1.31652e-06 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.072902 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05731 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:40:24 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.3410986526e-01 0.00e+00 4.29e-01 -2.312390e+01 7.290203e-02 -1.581347e-02 2.057310e+00 1 2.3410986526e-01 -1.30e-10 4.29e-02 -2.312390e+01 7.290203e-02 -1.581347e-02 2.057310e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : -1.30414e-15 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.072902 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05731 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:40:40 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.3410986526e-01 0.00e+00 4.29e-01 -2.312390e+01 7.290203e-02 -1.581347e-02 2.057310e+00 1 2.3410986526e-01 0.00e+00 4.29e+02 -2.312390e+01 7.290203e-02 -1.581347e-02 2.057310e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.072902 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05731 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:43:15 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.3410986526e-01 0.00e+00 4.29e-01 -2.312390e+01 7.290203e-02 -1.581347e-02 2.057310e+00 1 2.3410986526e-01 0.00e+00 4.29e+02 -2.312390e+01 7.290203e-02 -1.581347e-02 2.057310e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.072902 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05731 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:44:21 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.3274513341e+01 0.00e+00 5.09e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 4 2.4466224359e-01 -1.97e-01 5.09e-05 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -1.97073e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:45:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.3274513341e+01 0.00e+00 5.09e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 4 2.4466224359e-01 -1.97e-01 5.09e-05 -2.308079e+01 2.688762e-01 -1.443137e-02 -2.701587e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.244662 rel. change during last iteration : -1.97073e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113477 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0808 +/- 1.281 (5.552%) b = 0.268876 +/- 0.3038 (113%) c = -0.0144314 +/- 0.0398 (275.8%) d = -2.70159 +/- 5.723 (211.8%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.460 1.000 c -0.779 -0.274 1.000 d -0.722 -0.865 0.445 1.000 ******************************************************************************* Fri Mar 15 13:46:50 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 7.3598431760e+01 0.00e+00 5.07e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 2.3410986526e-01 -1.50e-05 5.07e-06 -2.312390e+01 7.290177e-02 -1.581346e-02 2.057316e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : -1.50041e-10 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.0729018 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05732 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:48:13 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 7.3598431760e+01 0.00e+00 5.07e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 2.3410986526e-01 -1.50e-05 5.07e-06 -2.312390e+01 7.290177e-02 -1.581346e-02 2.057316e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : -1.50041e-10 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.0729018 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05732 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:50:27 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 7.3598431760e+01 0.00e+00 5.07e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 2.3410986526e-01 -1.50e-05 5.07e-06 -2.312390e+01 7.290177e-02 -1.581346e-02 2.057316e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : -1.50041e-10 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.0729018 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05732 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:51:01 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 7.3598431760e+01 0.00e+00 5.07e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 2.3410986526e-01 -1.50e-05 5.07e-06 -2.312390e+01 7.290177e-02 -1.581346e-02 2.057316e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : -1.50041e-10 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.0729018 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05732 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:52:52 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 7.3598431760e+01 0.00e+00 5.07e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 2.3410986526e-01 -1.50e-05 5.07e-06 -2.312390e+01 7.290177e-02 -1.581346e-02 2.057316e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : -1.50041e-10 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.0729018 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05732 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:57:24 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 7.3598431760e+01 0.00e+00 5.07e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 2.3410986526e-01 -1.50e-05 5.07e-06 -2.312390e+01 7.290177e-02 -1.581346e-02 2.057316e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.23411 rel. change during last iteration : -1.50041e-10 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0130061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.1239 +/- 1.289 (5.573%) b = 0.0729018 +/- 0.3749 (514.2%) c = -0.0158135 +/- 0.04003 (253.1%) d = 2.05732 +/- 7.81 (379.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.396 1.000 c -0.776 -0.201 1.000 d -0.557 -0.912 0.301 1.000 ******************************************************************************* Fri Mar 15 13:59:25 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 14:01:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 14:03:09 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 14:04:21 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 14:07:02 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 16:15:33 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 18:57:53 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 18:57:53 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 55 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e*x1**4 fitted parameters initialized with current variable values ******************************************************************************* Fri Mar 15 18:58:22 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 18:58:22 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 55 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1693051317e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 20 1.3595836664e-26 0.00e+00 4.50e+01 -2.571257e+01 -3.992581e-13 -1.156466e-41 1.054305e-11 -3.709294e-11 After 20 iterations the fit converged. final sum of squares of residuals : 1.35958e-26 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 50 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64899e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71917e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = -25.7126 +/- 3.021e-13 (1.175e-12%) b1 = -3.99258e-13 +/- 2.588e-14 (6.482%) c1 = -1.15647e-41 +/- 2.868e-18 (0%) d1 = 1.0543e-11 +/- 7.962e-13 (7.552%) e1 = -3.70929e-11 +/- 2.489e-12 (6.711%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.000 1.000 c1 -0.000 0.000 1.000 d1 -0.916 0.000 0.000 1.000 e1 -0.908 0.000 0.000 0.832 1.000 ******************************************************************************* Fri Mar 15 18:58:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 18:58:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 55 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1693051317e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 20 1.3595836664e-26 0.00e+00 4.50e+01 -2.571257e+01 -3.992581e-13 -1.156466e-41 1.054305e-11 -3.709294e-11 After 20 iterations the fit converged. final sum of squares of residuals : 1.35958e-26 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 50 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64899e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71917e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = -25.7126 +/- 3.021e-13 (1.175e-12%) b1 = -3.99258e-13 +/- 2.588e-14 (6.482%) c1 = -1.15647e-41 +/- 2.868e-18 (0%) d1 = 1.0543e-11 +/- 7.962e-13 (7.552%) e1 = -3.70929e-11 +/- 2.489e-12 (6.711%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.000 1.000 c1 -0.000 0.000 1.000 d1 -0.916 0.000 0.000 1.000 e1 -0.908 0.000 0.000 0.832 1.000 ******************************************************************************* Fri Mar 15 19:00:40 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4+f*x**5 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e f 0 7.3752851305e+01 0.00e+00 4.14e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 -4.597701e-03 9 2.0495052851e-01 -1.43e-04 4.14e-10 -2.612545e+01 -6.459649e-01 -3.294434e-03 4.585417e+01 7.019552e+01 -5.621428e+02 After 9 iterations the fit converged. final sum of squares of residuals : 0.204951 rel. change during last iteration : -1.43425e-09 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128094 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -26.1254 +/- 5.648 (21.62%) b = -0.645965 +/- 0.6046 (93.6%) c = -0.00329443 +/- 0.05359 (1627%) d = 45.8542 +/- 31.11 (67.83%) e = 70.1955 +/- 106 (151%) f = -562.143 +/- 433.7 (77.14%) correlation matrix of the fit parameters: a b c d e f a 1.000 b 0.313 1.000 c -0.778 -0.199 1.000 d -0.595 -0.870 0.369 1.000 e -0.971 -0.326 0.655 0.642 1.000 f 0.767 0.666 -0.467 -0.934 -0.837 1.000 ******************************************************************************* Fri Mar 15 19:00:40 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 55 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1693051317e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 20 1.3595836664e-26 0.00e+00 4.50e+01 -2.571257e+01 -3.992581e-13 -1.156466e-41 1.054305e-11 -3.709294e-11 After 20 iterations the fit converged. final sum of squares of residuals : 1.35958e-26 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 50 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64899e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71917e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = -25.7126 +/- 3.021e-13 (1.175e-12%) b1 = -3.99258e-13 +/- 2.588e-14 (6.482%) c1 = -1.15647e-41 +/- 2.868e-18 (0%) d1 = 1.0543e-11 +/- 7.962e-13 (7.552%) e1 = -3.70929e-11 +/- 2.489e-12 (6.711%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.000 1.000 c1 -0.000 0.000 1.000 d1 -0.916 0.000 0.000 1.000 e1 -0.908 0.000 0.000 0.832 1.000 ******************************************************************************* Fri Mar 15 19:01:10 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4+f0*x**5 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e f0 0 7.3778080484e+01 0.00e+00 4.14e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 2.0495052851e-01 -2.45e-07 4.14e-08 -2.612545e+01 -6.459649e-01 -3.294434e-03 4.585417e+01 7.019552e+01 -5.621428e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.204951 rel. change during last iteration : -2.45134e-12 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128094 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -26.1254 +/- 5.648 (21.62%) b = -0.645965 +/- 0.6046 (93.6%) c = -0.00329443 +/- 0.05359 (1627%) d = 45.8542 +/- 31.11 (67.83%) e = 70.1955 +/- 106 (151%) f0 = -562.143 +/- 433.7 (77.14%) correlation matrix of the fit parameters: a b c d e f0 a 1.000 b 0.313 1.000 c -0.778 -0.199 1.000 d -0.595 -0.870 0.369 1.000 e -0.971 -0.326 0.655 0.642 1.000 f0 0.767 0.666 -0.467 -0.934 -0.837 1.000 ******************************************************************************* Fri Mar 15 19:01:10 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 55 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1693051317e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 20 1.3595836664e-26 0.00e+00 4.50e+01 -2.571257e+01 -3.992581e-13 -1.156466e-41 1.054305e-11 -3.709294e-11 After 20 iterations the fit converged. final sum of squares of residuals : 1.35958e-26 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 50 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64899e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71917e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = -25.7126 +/- 3.021e-13 (1.175e-12%) b1 = -3.99258e-13 +/- 2.588e-14 (6.482%) c1 = -1.15647e-41 +/- 2.868e-18 (0%) d1 = 1.0543e-11 +/- 7.962e-13 (7.552%) e1 = -3.70929e-11 +/- 2.489e-12 (6.711%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.000 1.000 c1 -0.000 0.000 1.000 d1 -0.916 0.000 0.000 1.000 e1 -0.908 0.000 0.000 0.832 1.000 ******************************************************************************* Fri Mar 15 19:02:50 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4+f0*x**6 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e f0 0 7.3763073082e+01 0.00e+00 4.14e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 1.8686007664e-01 -1.83e-02 4.14e-08 -3.202668e+01 -2.774108e-01 2.093706e-02 1.180944e+01 3.185695e+02 -2.866944e+03 After 7 iterations the fit converged. final sum of squares of residuals : 0.18686 rel. change during last iteration : -1.83434e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108068 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0116788 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -32.0267 +/- 7.147 (22.32%) b = -0.277411 +/- 0.4387 (158.1%) c = 0.0209371 +/- 0.05472 (261.3%) d = 11.8094 +/- 10.77 (91.23%) e = 318.57 +/- 204.9 (64.32%) f0 = -2866.94 +/- 1557 (54.3%) correlation matrix of the fit parameters: a b c d e f0 a 1.000 b -0.031 1.000 c -0.788 0.031 1.000 d 0.093 -0.932 -0.071 1.000 e -0.965 -0.033 0.663 -0.014 1.000 f0 0.875 0.190 -0.562 -0.183 -0.963 1.000 ******************************************************************************* Fri Mar 15 19:02:50 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 55 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1693051317e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 20 1.3595836664e-26 0.00e+00 4.50e+01 -2.571257e+01 -3.992581e-13 -1.156466e-41 1.054305e-11 -3.709294e-11 After 20 iterations the fit converged. final sum of squares of residuals : 1.35958e-26 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 50 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64899e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71917e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = -25.7126 +/- 3.021e-13 (1.175e-12%) b1 = -3.99258e-13 +/- 2.588e-14 (6.482%) c1 = -1.15647e-41 +/- 2.868e-18 (0%) d1 = 1.0543e-11 +/- 7.962e-13 (7.552%) e1 = -3.70929e-11 +/- 2.489e-12 (6.711%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.000 1.000 c1 -0.000 0.000 1.000 d1 -0.916 0.000 0.000 1.000 e1 -0.908 0.000 0.000 0.832 1.000 ******************************************************************************* Fri Mar 15 19:03:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 7.3752966730e+01 0.00e+00 4.54e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.2647446624e-01 -2.00e-06 4.54e-07 -2.050736e+01 -1.240403e-01 -3.574652e-02 8.184616e+00 -4.478504e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.226474 rel. change during last iteration : -1.99935e-11 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.013322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -20.5074 +/- 3.694 (18.01%) b = -0.12404 +/- 0.46 (370.9%) c = -0.0357465 +/- 0.04832 (135.2%) d = 8.18462 +/- 11.31 (138.2%) e = -44.785 +/- 59.16 (132.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.414 1.000 c -0.740 0.169 1.000 d 0.532 -0.930 -0.213 1.000 e -0.936 0.566 0.545 -0.715 1.000 ******************************************************************************* Fri Mar 15 19:03:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 55 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.1693051317e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 20 1.3595836664e-26 0.00e+00 4.50e+01 -2.571257e+01 -3.992581e-13 -1.156466e-41 1.054305e-11 -3.709294e-11 After 20 iterations the fit converged. final sum of squares of residuals : 1.35958e-26 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 50 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64899e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71917e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = -25.7126 +/- 3.021e-13 (1.175e-12%) b1 = -3.99258e-13 +/- 2.588e-14 (6.482%) c1 = -1.15647e-41 +/- 2.868e-18 (0%) d1 = 1.0543e-11 +/- 7.962e-13 (7.552%) e1 = -3.70929e-11 +/- 2.489e-12 (6.711%) correlation matrix of the fit parameters: a1 b1 c1 d1 e1 a1 1.000 b1 -0.000 1.000 c1 -0.000 0.000 1.000 d1 -0.916 0.000 0.000 1.000 e1 -0.908 0.000 0.000 0.832 1.000 ******************************************************************************* Sun Mar 17 20:26:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 26 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.8565176435e+01 0.00e+00 2.84e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 4.6127944146e-04 -4.25e-04 2.84e-06 -2.397790e+01 1.452759e-02 -1.085134e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.000461279 rel. change during last iteration : -4.24705e-09 degrees of freedom (FIT_NDF) : 23 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00447835 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00556e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.9779 +/- 0.03487 (0.1454%) b = 0.0145276 +/- 0.005847 (40.25%) c = -0.0108513 +/- 0.001431 (13.19%) correlation matrix of the fit parameters: a b c a 1.000 b -0.572 1.000 c -0.764 0.273 1.000 ******************************************************************************* Sun Mar 17 20:26:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1 fitted parameters initialized with current variable values Warning: Initial value of parameter 'b1' is zero. Warning: Initial value of parameter 'c1' is zero. iter chisq delta/lim lambda a1 b1 c1 0 3.0585887121e-02 0.00e+00 6.37e-01 -2.500000e+01 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Mar 18 10:35:58 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 26 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 3.4235826074e+01 0.00e+00 2.20e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 8.7398537403e-04 -8.81e-07 2.20e-09 4.727842e+00 -2.030816e-02 -9.995054e-01 4.289461e-01 -1.105205e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000873985 rel. change during last iteration : -8.81456e-12 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00645123 variance of residuals (reduced chisquare) = WSSR/ndf : 4.16184e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.72784 +/- 0.172 (3.638%) b = -0.0203082 +/- 0.02558 (125.9%) c = -0.999505 +/- 0.00258 (0.2581%) d = 0.428946 +/- 0.6187 (144.2%) e = -110.52 +/- 2.683 (2.428%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.464 1.000 c -0.725 0.159 1.000 d 0.551 -0.934 -0.177 1.000 e -0.909 0.669 0.485 -0.802 1.000 ******************************************************************************* Mon Mar 18 10:35:58 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 10:36:17 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 26 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 3.4235826074e+01 0.00e+00 2.20e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 8.7398537403e-04 -8.81e-07 2.20e-09 4.727842e+00 -2.030816e-02 -9.995054e-01 4.289461e-01 -1.105205e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000873985 rel. change during last iteration : -8.81456e-12 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00645123 variance of residuals (reduced chisquare) = WSSR/ndf : 4.16184e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.72784 +/- 0.172 (3.638%) b = -0.0203082 +/- 0.02558 (125.9%) c = -0.999505 +/- 0.00258 (0.2581%) d = 0.428946 +/- 0.6187 (144.2%) e = -110.52 +/- 2.683 (2.428%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.464 1.000 c -0.725 0.159 1.000 d 0.551 -0.934 -0.177 1.000 e -0.909 0.669 0.485 -0.802 1.000 ******************************************************************************* Mon Mar 18 10:36:17 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 11:18:19 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Mar 18 11:18:23 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:19:48 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Mar 18 11:19:49 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 14:29:20 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:29:20 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:29:54 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:29:54 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:31:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:31:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:32:37 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:32:37 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:35:11 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:35:11 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:35:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:35:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:36:03 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:36:03 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:39:51 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:39:51 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:40:57 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:40:57 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:41:16 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:41:16 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:41:38 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:41:38 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 14:41:47 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:41:47 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Mar 21 13:32:55 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Thu Mar 21 13:32:56 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Thu Mar 21 13:33:00 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Thu Mar 21 13:33:00 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.3036582400e-06 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3099 3.0392755532e-06 -5.80e-01 1.31e-03 3.550477e+02 3.807432e-01 After 3099 iterations the fit converged. final sum of squares of residuals : 3.03928e-06 rel. change during last iteration : -5.80182e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000232965 variance of residuals (reduced chisquare) = WSSR/ndf : 5.42728e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 355.048 +/- 47.63 (13.41%) b3 = 0.380743 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Mar 21 13:36:17 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Thu Mar 21 13:36:17 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Thu Mar 21 13:36:20 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Thu Mar 21 13:36:22 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Apr 8 14:33:03 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Apr 8 14:33:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.3705939889e-01 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 2887 2.6066469351e-06 -4.62e-01 1.31e-03 3.265279e+02 3.814049e-01 After 2887 iterations the fit converged. final sum of squares of residuals : 2.60665e-06 rel. change during last iteration : -4.62496e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000215748 variance of residuals (reduced chisquare) = WSSR/ndf : 4.65473e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 326.528 +/- 43.8 (13.41%) b3 = 0.381405 +/- 0.02559 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:33:11 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 14:33:12 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.1628318128e-05 0.00e+00 2.48e-01 5.800000e-04 5 7.5816940600e-32 0.00e+00 2.48e-01 5.816961e-04 After 5 iterations the fit converged. final sum of squares of residuals : 7.58169e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581696 ******************************************************************************* Mon Apr 8 14:34:29 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 14:34:30 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.1628318128e-05 0.00e+00 2.48e-01 5.800000e-04 5 7.5816940600e-32 0.00e+00 2.48e-01 5.816961e-04 After 5 iterations the fit converged. final sum of squares of residuals : 7.58169e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581696 ******************************************************************************* Mon Apr 8 14:36:19 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 14:36:25 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Apr 8 14:36:25 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.3705939889e-01 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 2887 2.6066469351e-06 -4.62e-01 1.31e-03 3.265279e+02 3.814049e-01 After 2887 iterations the fit converged. final sum of squares of residuals : 2.60665e-06 rel. change during last iteration : -4.62496e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000215748 variance of residuals (reduced chisquare) = WSSR/ndf : 4.65473e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 326.528 +/- 43.8 (13.41%) b3 = 0.381405 +/- 0.02559 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:37:03 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Apr 8 14:37:03 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.3705939889e-01 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 2887 2.6066469351e-06 -4.62e-01 1.31e-03 3.265279e+02 3.814049e-01 After 2887 iterations the fit converged. final sum of squares of residuals : 2.60665e-06 rel. change during last iteration : -4.62496e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000215748 variance of residuals (reduced chisquare) = WSSR/ndf : 4.65473e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 326.528 +/- 43.8 (13.41%) b3 = 0.381405 +/- 0.02559 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:09:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Apr 8 15:09:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9816190285e-03 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3079 2.9891854204e-06 -5.67e-01 1.31e-03 3.518650e+02 3.808092e-01 After 3079 iterations the fit converged. final sum of squares of residuals : 2.98919e-06 rel. change during last iteration : -5.67193e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000231037 variance of residuals (reduced chisquare) = WSSR/ndf : 5.33783e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 351.865 +/- 47.2 (13.41%) b3 = 0.380809 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:09:34 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991676551e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.4511902833e-04 -3.30e-02 1.03e-04 5.459083e-04 -2.513438e-05 -7.857829e-03 -3.280722e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000245119 rel. change during last iteration : -3.29651e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029073 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45238e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000545908 +/- 1.061e-06 (0.1943%) b = -2.51344e-05 +/- 6.395e-05 (254.4%) c = -0.00785783 +/- 0.0006123 (7.792%) d = -3.28072e-07 +/- 5.602e-08 (17.07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.563 -0.000 1.000 d -0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 15:09:35 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.1628318128e-05 0.00e+00 2.48e-01 5.800000e-04 5 7.5816940600e-32 0.00e+00 2.48e-01 5.816961e-04 After 5 iterations the fit converged. final sum of squares of residuals : 7.58169e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581696 ******************************************************************************* Mon Apr 8 15:10:35 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.6720047961e+01 0.00e+00 1.51e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0637888645e-03 -5.40e-09 1.51e-09 5.062763e+00 -3.684161e-02 -9.987453e-01 9.029832e-02 -1.138984e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106379 rel. change during last iteration : -5.4017e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00448012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.00715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06276 +/- 0.08944 (1.767%) b = -0.0368416 +/- 0.01757 (47.7%) c = -0.998745 +/- 0.0007244 (0.07253%) d = 0.0902983 +/- 0.424 (469.6%) e = -113.898 +/- 1.67 (1.467%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.496 1.000 c -0.391 0.065 1.000 d 0.600 -0.933 -0.072 1.000 e -0.916 0.681 0.219 -0.826 1.000 ******************************************************************************* Mon Apr 8 15:10:35 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9816190285e-03 0.00e+00 1.31e+00 2.279070e+02 4.753540e-01 3079 2.9891854204e-06 -5.67e-01 1.31e-03 3.518650e+02 3.808092e-01 After 3079 iterations the fit converged. final sum of squares of residuals : 2.98919e-06 rel. change during last iteration : -5.67193e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000231037 variance of residuals (reduced chisquare) = WSSR/ndf : 5.33783e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 351.865 +/- 47.2 (13.41%) b3 = 0.380809 +/- 0.02555 (6.71%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000