******************************************************************************* Sun Mar 31 18:19:13 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 1.3991579340e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.3016441549e-03 -2.66e-03 1.01e-04 5.417251e-04 5.348350e-16 -7.404978e-03 3.758637e-19 After 7 iterations the fit converged. final sum of squares of residuals : 0.00230164 rel. change during last iteration : -2.65784e-08 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00875908 variance of residuals (reduced chisquare) = WSSR/ndf : 7.67215e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000541725 +/- 3.176e-06 (0.5863%) b = 5.34835e-16 +/- 9.252e-05 (1.73e+13%) c = -0.00740498 +/- 0.001822 (24.61%) d = 3.75864e-19 +/- 3.355e-07 (8.926e+13%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.037 1.000 c 0.554 0.137 1.000 d 0.000 0.000 0.000 1.000 ******************************************************************************* Sun Mar 31 18:19:14 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 = 59 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 2.50e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.50e-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 ******************************************************************************* Sun Mar 31 18:19:35 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 = 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 6.4083175153e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.2379959607e-03 -3.50e-11 1.43e-09 4.492903e+00 -1.203148e-02 -9.987183e-01 1.358086e+01 -1.147316e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.001238 rel. change during last iteration : -3.50309e-16 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00474437 variance of residuals (reduced chisquare) = WSSR/ndf : 2.2509e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.4929 +/- 0.08937 (1.989%) b = -0.0120315 +/- 0.01854 (154.1%) c = -0.998718 +/- 0.0007566 (0.07576%) d = 13.5809 +/- 0.4493 (3.308%) e = -114.732 +/- 1.718 (1.497%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Sun Mar 31 18:19:35 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 = 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 ******************************************************************************* Sun Mar 31 18:20:04 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 6.4083175153e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.2379959607e-03 -3.50e-11 1.43e-09 4.492903e+00 -1.203148e-02 -9.987183e-01 1.358086e+01 -1.147316e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.001238 rel. change during last iteration : -3.50309e-16 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00474437 variance of residuals (reduced chisquare) = WSSR/ndf : 2.2509e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.4929 +/- 0.08937 (1.989%) b = -0.0120315 +/- 0.01854 (154.1%) c = -0.998718 +/- 0.0007566 (0.07576%) d = 13.5809 +/- 0.4493 (3.308%) e = -114.732 +/- 1.718 (1.497%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Sun Mar 31 18:20:04 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 = 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 19:00:38 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 = 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 6.4083175153e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.2379959607e-03 -3.50e-11 1.43e-09 4.492903e+00 -1.203148e-02 -9.987183e-01 1.358086e+01 -1.147316e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.001238 rel. change during last iteration : -3.50309e-16 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00474437 variance of residuals (reduced chisquare) = WSSR/ndf : 2.2509e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.4929 +/- 0.08937 (1.989%) b = -0.0120315 +/- 0.01854 (154.1%) c = -0.998718 +/- 0.0007566 (0.07576%) d = 13.5809 +/- 0.4493 (3.308%) e = -114.732 +/- 1.718 (1.497%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Mon Apr 8 19:00:38 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 = 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 2.8022116916e-03 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3122 2.8588477058e-06 -2.04e-01 1.24e-03 3.635366e+02 3.746307e-01 After 3122 iterations the fit converged. final sum of squares of residuals : 2.85885e-06 rel. change during last iteration : -2.03784e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000222015 variance of residuals (reduced chisquare) = WSSR/ndf : 4.92905e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 363.537 +/- 47.93 (13.18%) b3 = 0.374631 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 19:00:48 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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 1.3991579340e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.3016441549e-03 -2.66e-03 1.01e-04 5.417251e-04 5.348350e-16 -7.404978e-03 3.758637e-19 After 7 iterations the fit converged. final sum of squares of residuals : 0.00230164 rel. change during last iteration : -2.65784e-08 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00875908 variance of residuals (reduced chisquare) = WSSR/ndf : 7.67215e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000541725 +/- 3.176e-06 (0.5863%) b = 5.34835e-16 +/- 9.252e-05 (1.73e+13%) c = -0.00740498 +/- 0.001822 (24.61%) d = 3.75864e-19 +/- 3.355e-07 (8.926e+13%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.037 1.000 c 0.554 0.137 1.000 d 0.000 0.000 0.000 1.000 ******************************************************************************* Mon Apr 8 19:00:48 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 = 59 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 7.5207804165e-04 0.00e+00 2.50e-01 5.800000e-04 5 2.6493973466e-32 0.00e+00 2.50e-06 5.717292e-04 After 5 iterations the fit converged. final sum of squares of residuals : 2.6494e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000571729