******************************************************************************* Tue Mar 19 16:54:03 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 = 60 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 6.4979321891e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0821378105e-03 -2.10e-09 1.43e-09 5.089972e+00 7.468633e-01 -9.987930e-01 -3.980221e-03 -1.145573e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00108214 rel. change during last iteration : -2.10401e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00443568 variance of residuals (reduced chisquare) = WSSR/ndf : 1.96752e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.08997 +/- 0.08569 (1.684%) b = 0.746863 +/- 0.01706 (2.285%) c = -0.998793 +/- 0.0007078 (0.07087%) d = -0.00398022 +/- 0.4003 (1.006e+04%) e = -114.557 +/- 1.588 (1.386%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Tue Mar 19 16:54:03 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 = 60 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 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Mar 19 16:54:50 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 = 60 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 6.4979321891e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0821378105e-03 -2.10e-09 1.43e-09 5.089972e+00 7.468633e-01 -9.987930e-01 -3.980221e-03 -1.145573e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00108214 rel. change during last iteration : -2.10401e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00443568 variance of residuals (reduced chisquare) = WSSR/ndf : 1.96752e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.08997 +/- 0.08569 (1.684%) b = 0.746863 +/- 0.01706 (2.285%) c = -0.998793 +/- 0.0007078 (0.07087%) d = -0.00398022 +/- 0.4003 (1.006e+04%) e = -114.557 +/- 1.588 (1.386%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Tue Mar 19 16:54:50 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 = 60 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 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Mar 19 16:55:24 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 = 60 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 6.4979321891e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0821378105e-03 -2.10e-09 1.43e-09 5.089972e+00 7.468633e-01 -9.987930e-01 -3.980221e-03 -1.145573e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00108214 rel. change during last iteration : -2.10401e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00443568 variance of residuals (reduced chisquare) = WSSR/ndf : 1.96752e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.08997 +/- 0.08569 (1.684%) b = 0.746863 +/- 0.01706 (2.285%) c = -0.998793 +/- 0.0007078 (0.07087%) d = -0.00398022 +/- 0.4003 (1.006e+04%) e = -114.557 +/- 1.588 (1.386%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Tue Mar 19 16:55:24 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 = 60 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 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Mar 19 16:55:38 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 = 34 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 1.4188450313e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 8 8.6757480108e-04 -6.98e-07 1.01e-05 5.523303e-04 -2.818822e-06 -2.421248e+02 -3.823887e-07 After 8 iterations the fit converged. final sum of squares of residuals : 0.000867575 rel. change during last iteration : -6.98353e-12 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537765 variance of residuals (reduced chisquare) = WSSR/ndf : 2.89192e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00055233 +/- 1.949e-06 (0.3528%) b = -2.81882e-06 +/- 0.0001183 (4196%) c = -242.125 +/- 0.001108 (0.0004577%) d = -3.82389e-07 +/- 1.036e-07 (27.1%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.554 0.000 1.000 d -0.000 -0.898 -0.000 1.000 ******************************************************************************* Tue Mar 19 16:55:39 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 = 61 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 2.46e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.46e-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 ******************************************************************************* Wed Mar 20 14:24:08 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 = 34 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 1.3991579255e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 8.0675897850e-05 -8.35e-02 1.01e-04 5.441168e-04 -4.593781e-09 -1.281369e-02 3.616210e-12 After 7 iterations the fit converged. final sum of squares of residuals : 8.06759e-05 rel. change during last iteration : -8.34889e-07 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163988 variance of residuals (reduced chisquare) = WSSR/ndf : 2.6892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000544117 +/- 5.943e-07 (0.1092%) b = -4.59378e-09 +/- 3.607e-05 (7.852e+05%) c = -0.0128137 +/- 0.0003379 (2.637%) d = 3.61621e-12 +/- 3.16e-08 (8.737e+05%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Wed Mar 20 14:24:09 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 ******************************************************************************* Wed Mar 20 14:24:39 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Wed Mar 20 14:24:39 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 = 60 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 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Mar 20 14:25:52 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Wed Mar 20 14:25:52 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 = 60 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 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Mar 20 18:41:52 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 = 34 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 1.3991579255e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 8.0675897850e-05 -8.35e-02 1.01e-04 5.441168e-04 -4.593781e-09 -1.281369e-02 3.616210e-12 After 7 iterations the fit converged. final sum of squares of residuals : 8.06759e-05 rel. change during last iteration : -8.34889e-07 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163988 variance of residuals (reduced chisquare) = WSSR/ndf : 2.6892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000544117 +/- 5.943e-07 (0.1092%) b = -4.59378e-09 +/- 3.607e-05 (7.852e+05%) c = -0.0128137 +/- 0.0003379 (2.637%) d = 3.61621e-12 +/- 3.16e-08 (8.737e+05%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Wed Mar 20 18:41:55 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 ******************************************************************************* Wed Mar 20 18:42:01 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Wed Mar 20 18:42:01 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 = 60 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 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Mar 21 14:00:17 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Thu Mar 21 14:00:17 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 = 60 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 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Mar 21 14:07:27 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Thu Mar 21 14:07:27 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 = 60 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 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:05:24 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 = 34 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 1.3991579255e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 8.0675897850e-05 -8.35e-02 1.01e-04 5.441168e-04 -4.593781e-09 -1.281369e-02 3.616210e-12 After 7 iterations the fit converged. final sum of squares of residuals : 8.06759e-05 rel. change during last iteration : -8.34889e-07 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163988 variance of residuals (reduced chisquare) = WSSR/ndf : 2.6892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000544117 +/- 5.943e-07 (0.1092%) b = -4.59378e-09 +/- 3.607e-05 (7.852e+05%) c = -0.0128137 +/- 0.0003379 (2.637%) d = 3.61621e-12 +/- 3.16e-08 (8.737e+05%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 14:05:25 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 1.5530617070e-06 0.00e+00 2.48e-01 5.800000e-04 5 5.7623320824e-32 0.00e+00 2.48e-06 5.796242e-04 After 5 iterations the fit converged. final sum of squares of residuals : 5.76233e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000579624 ******************************************************************************* Mon Apr 8 14:05:40 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 14:05:41 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 = 60 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 2.8632882804e-01 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 2926 2.4341762541e-06 -9.41e-01 1.24e-03 3.332415e+02 3.752493e-01 After 2926 iterations the fit converged. final sum of squares of residuals : 2.43418e-06 rel. change during last iteration : -9.40773e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000204862 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19686e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 333.242 +/- 43.93 (13.18%) b3 = 0.375249 +/- 0.02474 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:06:22 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 = 34 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 1.3991579255e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 8.0675897850e-05 -8.35e-02 1.01e-04 5.441168e-04 -4.593781e-09 -1.281369e-02 3.616210e-12 After 7 iterations the fit converged. final sum of squares of residuals : 8.06759e-05 rel. change during last iteration : -8.34889e-07 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163988 variance of residuals (reduced chisquare) = WSSR/ndf : 2.6892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000544117 +/- 5.943e-07 (0.1092%) b = -4.59378e-09 +/- 3.607e-05 (7.852e+05%) c = -0.0128137 +/- 0.0003379 (2.637%) d = 3.61621e-12 +/- 3.16e-08 (8.737e+05%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 14:06:22 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 1.5530617070e-06 0.00e+00 2.48e-01 5.800000e-04 5 5.7623320824e-32 0.00e+00 2.48e-06 5.796242e-04 After 5 iterations the fit converged. final sum of squares of residuals : 5.76233e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000579624 ******************************************************************************* Mon Apr 8 14:08:42 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 = 34 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 1.3991579255e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 8.0675897850e-05 -8.35e-02 1.01e-04 5.441168e-04 -4.593781e-09 -1.281369e-02 3.616210e-12 After 7 iterations the fit converged. final sum of squares of residuals : 8.06759e-05 rel. change during last iteration : -8.34889e-07 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163988 variance of residuals (reduced chisquare) = WSSR/ndf : 2.6892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000544117 +/- 5.943e-07 (0.1092%) b = -4.59378e-09 +/- 3.607e-05 (7.852e+05%) c = -0.0128137 +/- 0.0003379 (2.637%) d = 3.61621e-12 +/- 3.16e-08 (8.737e+05%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 14:08:43 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 1.5530617070e-06 0.00e+00 2.48e-01 5.800000e-04 5 5.7623320824e-32 0.00e+00 2.48e-06 5.796242e-04 After 5 iterations the fit converged. final sum of squares of residuals : 5.76233e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000579624 ******************************************************************************* Mon Apr 8 14:13:52 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 = 34 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 1.3991579255e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 8.0675897850e-05 -8.35e-02 1.01e-04 5.441168e-04 -4.593781e-09 -1.281369e-02 3.616210e-12 After 7 iterations the fit converged. final sum of squares of residuals : 8.06759e-05 rel. change during last iteration : -8.34889e-07 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163988 variance of residuals (reduced chisquare) = WSSR/ndf : 2.6892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000544117 +/- 5.943e-07 (0.1092%) b = -4.59378e-09 +/- 3.607e-05 (7.852e+05%) c = -0.0128137 +/- 0.0003379 (2.637%) d = 3.61621e-12 +/- 3.16e-08 (8.737e+05%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 14:13:53 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 1.5530617070e-06 0.00e+00 2.48e-01 5.800000e-04 5 5.7623320824e-32 0.00e+00 2.48e-06 5.796242e-04 After 5 iterations the fit converged. final sum of squares of residuals : 5.76233e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000579624 ******************************************************************************* Mon Apr 8 14:13:59 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 14:13:59 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 = 60 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 2.8632882804e-01 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 2926 2.4341762541e-06 -9.41e-01 1.24e-03 3.332415e+02 3.752493e-01 After 2926 iterations the fit converged. final sum of squares of residuals : 2.43418e-06 rel. change during last iteration : -9.40773e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000204862 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19686e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 333.242 +/- 43.93 (13.18%) b3 = 0.375249 +/- 0.02474 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:15:29 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 14:15:29 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 = 60 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 2.8632882804e-01 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 2926 2.4341762541e-06 -9.41e-01 1.24e-03 3.332415e+02 3.752493e-01 After 2926 iterations the fit converged. final sum of squares of residuals : 2.43418e-06 rel. change during last iteration : -9.40773e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000204862 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19686e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 333.242 +/- 43.93 (13.18%) b3 = 0.375249 +/- 0.02474 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:16:22 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 14:16:22 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 = 60 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 2.8632882804e-01 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 2926 2.4341762541e-06 -9.41e-01 1.24e-03 3.332415e+02 3.752493e-01 After 2926 iterations the fit converged. final sum of squares of residuals : 2.43418e-06 rel. change during last iteration : -9.40773e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000204862 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19686e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 333.242 +/- 43.93 (13.18%) b3 = 0.375249 +/- 0.02474 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:16:58 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 14:16:58 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 = 60 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 2.8632882804e-01 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 2926 2.4341762541e-06 -9.41e-01 1.24e-03 3.332415e+02 3.752493e-01 After 2926 iterations the fit converged. final sum of squares of residuals : 2.43418e-06 rel. change during last iteration : -9.40773e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000204862 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19686e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 333.242 +/- 43.93 (13.18%) b3 = 0.375249 +/- 0.02474 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:27:56 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 14:27:56 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 = 60 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 2.8632882804e-01 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 2926 2.4341762541e-06 -9.41e-01 1.24e-03 3.332415e+02 3.752493e-01 After 2926 iterations the fit converged. final sum of squares of residuals : 2.43418e-06 rel. change during last iteration : -9.40773e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000204862 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19686e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 333.242 +/- 43.93 (13.18%) b3 = 0.375249 +/- 0.02474 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:29:03 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 14:29:03 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 = 60 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 4.2313759839e-04 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3133 2.8885946600e-06 -4.81e-01 1.24e-03 3.655815e+02 3.745903e-01 After 3133 iterations the fit converged. final sum of squares of residuals : 2.88859e-06 rel. change during last iteration : -4.80635e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223167 variance of residuals (reduced chisquare) = WSSR/ndf : 4.98034e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 365.581 +/- 48.2 (13.18%) b3 = 0.37459 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 14:30:33 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 14:30:33 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 = 60 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 2.8632882804e-01 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 2926 2.4341762541e-06 -9.41e-01 1.24e-03 3.332415e+02 3.752493e-01 After 2926 iterations the fit converged. final sum of squares of residuals : 2.43418e-06 rel. change during last iteration : -9.40773e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000204862 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19686e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 333.242 +/- 43.93 (13.18%) b3 = 0.375249 +/- 0.02474 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:24:50 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 15:24:50 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 = 60 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 8.0739394576e-04 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3130 2.8815014925e-06 -6.33e-02 1.24e-03 3.650756e+02 3.746046e-01 After 3130 iterations the fit converged. final sum of squares of residuals : 2.8815e-06 rel. change during last iteration : -6.33101e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000222892 variance of residuals (reduced chisquare) = WSSR/ndf : 4.96811e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 365.076 +/- 48.13 (13.18%) b3 = 0.374605 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:25:00 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 = 34 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 1.3991579255e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 8.0675897850e-05 -8.35e-02 1.01e-04 5.441168e-04 -4.593781e-09 -1.281369e-02 3.616210e-12 After 7 iterations the fit converged. final sum of squares of residuals : 8.06759e-05 rel. change during last iteration : -8.34889e-07 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163988 variance of residuals (reduced chisquare) = WSSR/ndf : 2.6892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000544117 +/- 5.943e-07 (0.1092%) b = -4.59378e-09 +/- 3.607e-05 (7.852e+05%) c = -0.0128137 +/- 0.0003379 (2.637%) d = 3.61621e-12 +/- 3.16e-08 (8.737e+05%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Mon Apr 8 15:25:01 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 3.1785410891e-06 0.00e+00 2.48e-01 5.800000e-04 6 5.1358029974e-32 0.00e+00 2.48e-07 5.794623e-04 After 6 iterations the fit converged. final sum of squares of residuals : 5.1358e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000579462 ******************************************************************************* Mon Apr 8 15:26:37 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 15:26:37 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 = 60 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 8.0739394576e-04 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3130 2.8815014925e-06 -6.33e-02 1.24e-03 3.650756e+02 3.746046e-01 After 3130 iterations the fit converged. final sum of squares of residuals : 2.8815e-06 rel. change during last iteration : -6.33101e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000222892 variance of residuals (reduced chisquare) = WSSR/ndf : 4.96811e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 365.076 +/- 48.13 (13.18%) b3 = 0.374605 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:26:45 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 = 60 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 6.3635257519e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0654713462e-03 -1.93e-09 1.43e-09 5.271784e+00 1.315440e+00 -9.988024e-01 -1.231792e-01 -1.149534e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00106547 rel. change during last iteration : -1.9334e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00440139 variance of residuals (reduced chisquare) = WSSR/ndf : 1.93722e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.27178 +/- 0.08503 (1.613%) b = 1.31544 +/- 0.01693 (1.287%) c = -0.998802 +/- 0.0007024 (0.07032%) d = -0.123179 +/- 0.3972 (322.5%) e = -114.953 +/- 1.575 (1.37%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Mon Apr 8 15:26:45 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 = 60 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 8.0739394576e-04 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3130 2.8815014925e-06 -6.33e-02 1.24e-03 3.650756e+02 3.746046e-01 After 3130 iterations the fit converged. final sum of squares of residuals : 2.8815e-06 rel. change during last iteration : -6.33101e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000222892 variance of residuals (reduced chisquare) = WSSR/ndf : 4.96811e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 365.076 +/- 48.13 (13.18%) b3 = 0.374605 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000