******************************************************************************* Thu Mar 14 13:52:46 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 7.1319693483e+06 0.00e+00 2.69e+02 1.000000e+00 1.000000e+00 1.000000e+00 6 2.7908935765e-02 -4.66e-08 2.69e-04 5.844341e-04 -3.691374e-03 -1.179029e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.0279089 rel. change during last iteration : -4.6605e-13 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0310222 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000962377 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000584434 +/- 1.556e-05 (2.663%) b = -0.00369137 +/- 0.0003955 (10.71%) c = -0.0117903 +/- 0.006517 (55.27%) correlation matrix of the fit parameters: a b c a 1.000 b -0.450 1.000 c 0.525 -0.123 1.000 ******************************************************************************* Thu Mar 14 13:53:58 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.7908935765e-02 0.00e+00 1.61e-01 5.844341e-04 -3.691374e-03 -1.179029e-02 1 2.7908935765e-02 -1.24e-11 1.61e-01 5.844341e-04 -3.691374e-03 -1.179029e-02 After 1 iterations the fit converged. final sum of squares of residuals : 0.0279089 rel. change during last iteration : -1.24313e-16 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0310222 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000962377 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000584434 +/- 1.556e-05 (2.663%) b = -0.00369137 +/- 0.0003955 (10.71%) c = -0.0117903 +/- 0.006517 (55.27%) correlation matrix of the fit parameters: a b c a 1.000 b -0.450 1.000 c 0.525 -0.123 1.000 ******************************************************************************* Thu Mar 14 13:55:04 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 32 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 8.0352959492e+09 0.00e+00 7.92e+03 5.844341e-04 -3.691374e-03 -1.179029e-02 1.000000e+00 9 2.8540110631e-03 -3.69e-07 7.92e-06 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 9 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.69174e-12 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 13:56:19 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 0.00e+00 1.54e+00 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 13:58:05 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 0.00e+00 1.54e+00 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:28:22 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 = 32 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 8.3657930875e+09 0.00e+00 7.93e+03 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 2.8540110631e-03 -2.89e-02 7.93e-04 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -2.8934e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:39:04 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 = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 -2.28e-10 1.54e-02 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -2.27932e-15 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:39:34 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 = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 0.00e+00 1.54e+01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:39:50 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 = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 0.00e+00 1.54e+01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:40:01 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 = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 0.00e+00 1.54e+01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:41:16 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 = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 0.00e+00 1.54e+01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:41:28 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 = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 0.00e+00 1.54e+01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:44:43 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 = 32 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 2.8540110631e-03 0.00e+00 1.54e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 1 2.8540110631e-03 0.00e+00 1.54e+01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:44:43 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 = 48 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 2.1409347832e-01 0.00e+00 1.39e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 14:45:14 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 = 32 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 1.3187073259e-01 0.00e+00 1.35e-01 5.818044e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 2 1.2030407398e-01 -5.78e-01 1.35e-03 5.409614e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 2 iterations the fit converged. final sum of squares of residuals : 0.120304 rel. change during last iteration : -5.77761e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0655483 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00429657 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000540961 +/- 2.811e-05 (5.197%) b = 1.04387e-16 +/- 0.0004925 (4.718e+14%) c = -7.19541e-30 +/- 0.04635 (6.442e+29%) d = -2.78115e-19 +/- 1.853e-07 (6.661e+13%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c -0.000 -0.000 1.000 d -0.465 -0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:45:14 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 = 48 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 1.4069921095e-02 0.00e+00 1.13e-01 5.409614e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 5 3.1249587679e-28 0.00e+00 1.13e-06 5.818044e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 5 iterations the fit converged. final sum of squares of residuals : 3.12496e-28 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.66499e-15 variance of residuals (reduced chisquare) = WSSR/ndf : 7.10218e-30 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000581804 +/- 9.176e-19 (1.577e-13%) b = 1.04387e-16 +/- 2.002e-17 (19.18%) c = -7.19541e-30 +/- 6.464e-16 (8.983e+15%) d = -2.78115e-19 +/- 4.718e-21 (1.697%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.000 0.000 1.000 d -0.000 -0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:45:23 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 = 32 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 1.3187073259e-01 0.00e+00 1.35e-01 5.818044e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 2 1.2030407398e-01 -5.78e-01 1.35e-03 5.409614e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 2 iterations the fit converged. final sum of squares of residuals : 0.120304 rel. change during last iteration : -5.77761e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0655483 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00429657 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000540961 +/- 2.811e-05 (5.197%) b = 1.04387e-16 +/- 0.0004925 (4.718e+14%) c = -7.19541e-30 +/- 0.04635 (6.442e+29%) d = -2.78115e-19 +/- 1.853e-07 (6.661e+13%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c -0.000 -0.000 1.000 d -0.465 -0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:45:26 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 = 48 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 1.4069921095e-02 0.00e+00 1.13e-01 5.409614e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 5 3.1249587679e-28 0.00e+00 1.13e-06 5.818044e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 5 iterations the fit converged. final sum of squares of residuals : 3.12496e-28 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.66499e-15 variance of residuals (reduced chisquare) = WSSR/ndf : 7.10218e-30 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000581804 +/- 9.176e-19 (1.577e-13%) b = 1.04387e-16 +/- 2.002e-17 (19.18%) c = -7.19541e-30 +/- 6.464e-16 (8.983e+15%) d = -2.78115e-19 +/- 4.718e-21 (1.697%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.000 0.000 1.000 d -0.000 -0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:46:16 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 = 32 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 1.3187073259e-01 0.00e+00 1.35e-01 5.818044e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 2 1.2030407398e-01 -5.78e-01 1.35e-03 5.409614e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 2 iterations the fit converged. final sum of squares of residuals : 0.120304 rel. change during last iteration : -5.77761e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0655483 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00429657 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000540961 +/- 2.811e-05 (5.197%) b = 1.04387e-16 +/- 0.0004925 (4.718e+14%) c = -7.19541e-30 +/- 0.04635 (6.442e+29%) d = -2.78115e-19 +/- 1.853e-07 (6.661e+13%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c -0.000 -0.000 1.000 d -0.465 -0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:46:26 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 = 48 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 1.4069921095e-02 0.00e+00 1.13e-01 5.409614e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 5 3.1249587679e-28 0.00e+00 1.13e-06 5.818044e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 5 iterations the fit converged. final sum of squares of residuals : 3.12496e-28 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.66499e-15 variance of residuals (reduced chisquare) = WSSR/ndf : 7.10218e-30 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000581804 +/- 9.176e-19 (1.577e-13%) b = 1.04387e-16 +/- 2.002e-17 (19.18%) c = -7.19541e-30 +/- 6.464e-16 (8.983e+15%) d = -2.78115e-19 +/- 4.718e-21 (1.697%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.000 0.000 1.000 d -0.000 -0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:53:15 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 = 32 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 1.3187073259e-01 0.00e+00 1.35e-01 5.818044e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 2 1.2030407398e-01 -5.78e-01 1.35e-03 5.409614e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 2 iterations the fit converged. final sum of squares of residuals : 0.120304 rel. change during last iteration : -5.77761e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0655483 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00429657 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000540961 +/- 2.811e-05 (5.197%) b = 1.04387e-16 +/- 0.0004925 (4.718e+14%) c = -7.19541e-30 +/- 0.04635 (6.442e+29%) d = -2.78115e-19 +/- 1.853e-07 (6.661e+13%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c -0.000 -0.000 1.000 d -0.465 -0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:54:04 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 = 32 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 1.2030407398e-01 0.00e+00 1.26e-01 5.409614e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 1 1.2030407398e-01 -3.54e-09 1.26e-02 5.409613e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 1 iterations the fit converged. final sum of squares of residuals : 0.120304 rel. change during last iteration : -3.54143e-14 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0655483 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00429657 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000540961 +/- 2.811e-05 (5.197%) b = 1.04387e-16 +/- 0.0004925 (4.718e+14%) c = -7.19541e-30 +/- 0.04635 (6.442e+29%) d = -2.78115e-19 +/- 1.853e-07 (6.661e+13%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c -0.000 0.000 1.000 d -0.465 0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:54:04 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 = 48 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 1.4069938003e-02 0.00e+00 1.13e-01 5.409613e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 6 3.1330970635e-28 0.00e+00 1.13e+00 5.818044e-04 1.043870e-16 -7.195413e-30 -2.781147e-19 After 6 iterations the fit converged. final sum of squares of residuals : 3.1331e-28 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.66846e-15 variance of residuals (reduced chisquare) = WSSR/ndf : 7.12068e-30 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000581804 +/- 9.188e-19 (1.579e-13%) b = 1.04387e-16 +/- 2.005e-17 (19.21%) c = -7.19541e-30 +/- 6.472e-16 (8.995e+15%) d = -2.78115e-19 +/- 4.724e-21 (1.699%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.000 0.000 1.000 d 0.000 0.000 0.000 1.000 ******************************************************************************* Thu Mar 14 14:57:00 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 = 32 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 8.3657930875e+09 0.00e+00 7.93e+03 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 2.8540110631e-03 -2.89e-02 7.93e-04 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -2.8934e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:57:00 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 = 48 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 2.1409347832e-01 0.00e+00 1.39e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 14:58:58 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 = 32 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 8.3657930875e+09 0.00e+00 7.93e+03 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 2.8540110631e-03 -2.89e-02 7.93e-04 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -2.8934e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 14:58:58 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 = 48 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 2.1409347832e-01 0.00e+00 1.39e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:00:19 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 = 32 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 8.3657930875e+09 0.00e+00 7.93e+03 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 2.8540110631e-03 -2.89e-02 7.93e-04 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -2.8934e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:00:19 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.7056671832e-02 0.00e+00 1.35e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:00:48 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 = 32 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 8.3657930875e+09 0.00e+00 7.93e+03 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 2.8540110631e-03 -2.89e-02 7.93e-04 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -2.8934e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:00:48 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.7056671832e-02 0.00e+00 1.56e-01 6.440101e-04 -4.343714e-04 -4.653110e-03 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:01:23 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 = 32 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 8.3657930875e+09 0.00e+00 7.93e+03 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 2.8540110631e-03 -2.89e-02 7.93e-04 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -2.8934e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:01:23 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values Warning: Initial value of parameter 'b' is zero. Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c 0 2.2966547917e+02 0.00e+00 1.45e+00 5.800000e-03 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:02:27 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 = 32 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 8.3657930875e+09 0.00e+00 7.93e+03 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 7 2.8540110631e-03 -2.89e-02 7.93e-04 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -2.8934e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:02:27 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values Warning: Initial value of parameter 'b' is zero. Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c 0 2.2966547917e+02 0.00e+00 1.45e+00 5.800000e-03 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:02:44 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 = 32 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 3.0358753778e-02 0.00e+00 1.40e-01 5.818044e-04 1.000000e-30 1.001000e-30 -4.549594e-06 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:02:50 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 = 32 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 3.5653070929e-03 0.00e+00 1.57e-01 6.538391e-04 1.000000e-30 1.001000e-30 -5.057088e-06 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:03:34 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 = 32 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 Warning: Initial value of parameter 'b' is zero. Warning: Initial value of parameter 'c' is zero. Warning: Initial value of parameter 'd' is zero. iter chisq delta/lim lambda a b c d 0 1.9189154316e+02 0.00e+00 1.36e+00 5.800000e-03 1.000000e-30 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:04:00 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:04:09 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values Warning: Initial value of parameter 'b' is zero. Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c 0 2.2966547917e+02 0.00e+00 1.45e+00 5.800000e-03 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:04:29 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:04:36 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.7782039380e+02 0.00e+00 1.61e+00 5.800000e-03 1.000000e-01 1.000000e-01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:06:29 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:07:29 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.7782039380e+02 0.00e+00 1.61e+00 5.800000e-03 1.000000e-01 1.000000e-01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:07:34 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:07:48 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.7782039380e+02 0.00e+00 1.61e+00 5.800000e-03 1.000000e-01 1.000000e-01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:08:23 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7215270427e-29 0.00e+00 1.41e-01 5.818044e-04 4.359515e-17 1.001000e-31 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:09:03 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7215270427e-29 0.00e+00 1.41e-01 5.818044e-04 4.359515e-17 1.002001e-31 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Mar 14 15:10:37 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:10:41 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 2.43e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.43e-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 ======================= a = 0.000581804 ******************************************************************************* Thu Mar 14 15:12:19 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:12:19 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 2.43e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.43e-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 ======================= a = 0.000581804 ******************************************************************************* Thu Mar 14 15:13:04 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:13:04 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 2.43e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.43e-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 ======================= a = 0.000581804 ******************************************************************************* Thu Mar 14 15:14:05 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:14:05 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 2.43e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.43e-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 ======================= a = 0.000581804 ******************************************************************************* Thu Mar 14 15:15:07 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:15:07 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 2.43e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.43e-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 ======================= a = 0.000581804 ******************************************************************************* Thu Mar 14 15:16:07 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:16:07 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 2.43e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.43e-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 ======================= a = 0.000581804 ******************************************************************************* Thu Mar 14 15:17:38 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 14 15:17:38 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 = 48 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 2.43e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.43e-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 ======================= a = 0.000581804 ******************************************************************************* Mon Mar 18 12:18:11 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Mon Mar 18 12:18:12 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 = 54 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 2.2576083292e-05 0.00e+00 2.08e-01 5.800000e-04 5 1.8585223963e-32 0.00e+00 2.08e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 1.85852e-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 12:18:40 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Mon Mar 18 12:18:41 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 = 54 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 2.2576083292e-05 0.00e+00 2.08e-01 5.800000e-04 5 1.8585223963e-32 0.00e+00 2.08e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 1.85852e-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 12:19:09 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 = 23 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 2.7822593968e+01 0.00e+00 2.08e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 9.8576299104e-02 -1.17e-08 2.08e-09 9.168557e+00 -4.848965e-02 -1.025448e+00 6.922964e+00 -1.695252e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.0985763 rel. change during last iteration : -1.16568e-13 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0740031 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00547646 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.16856 +/- 1.968 (21.47%) b = -0.0484896 +/- 0.3169 (653.6%) c = -1.02545 +/- 0.0288 (2.808%) d = 6.92296 +/- 7.433 (107.4%) e = -169.525 +/- 31.22 (18.42%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.449 1.000 c -0.697 0.235 1.000 d 0.552 -0.935 -0.237 1.000 e -0.913 0.639 0.477 -0.786 1.000 ******************************************************************************* Mon Mar 18 12:19:09 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 = 53 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 6.3029248715e-06 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 2973 2.6440098903e-06 -2.28e-01 1.21e-03 3.515185e+02 3.826469e-01 After 2973 iterations the fit converged. final sum of squares of residuals : 2.64401e-06 rel. change during last iteration : -2.28199e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000227691 variance of residuals (reduced chisquare) = WSSR/ndf : 5.18433e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 351.518 +/- 49.42 (14.06%) b3 = 0.382647 +/- 0.02691 (7.033%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 12:19:38 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 = 23 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 2.7822593968e+01 0.00e+00 2.08e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 9.8576299104e-02 -1.17e-08 2.08e-09 9.168557e+00 -4.848965e-02 -1.025448e+00 6.922964e+00 -1.695252e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.0985763 rel. change during last iteration : -1.16568e-13 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0740031 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00547646 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.16856 +/- 1.968 (21.47%) b = -0.0484896 +/- 0.3169 (653.6%) c = -1.02545 +/- 0.0288 (2.808%) d = 6.92296 +/- 7.433 (107.4%) e = -169.525 +/- 31.22 (18.42%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.449 1.000 c -0.697 0.235 1.000 d 0.552 -0.935 -0.237 1.000 e -0.913 0.639 0.477 -0.786 1.000 ******************************************************************************* Mon Mar 18 12:19:38 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 = 53 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 6.3029248715e-06 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 2973 2.6440098903e-06 -2.28e-01 1.21e-03 3.515185e+02 3.826469e-01 After 2973 iterations the fit converged. final sum of squares of residuals : 2.64401e-06 rel. change during last iteration : -2.28199e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000227691 variance of residuals (reduced chisquare) = WSSR/ndf : 5.18433e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 351.518 +/- 49.42 (14.06%) b3 = 0.382647 +/- 0.02691 (7.033%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 12:25:09 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 = 53 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 5.9443558244e+01 0.00e+00 1.41e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 7.5476685028e-04 -4.40e-09 1.41e-09 5.183541e+00 -5.898577e-02 -9.990180e-01 5.115910e-01 -1.141517e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000754767 rel. change during last iteration : -4.39561e-14 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00396539 variance of residuals (reduced chisquare) = WSSR/ndf : 1.57243e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18354 +/- 0.08181 (1.578%) b = -0.0589858 +/- 0.0166 (28.13%) c = -0.999018 +/- 0.0006554 (0.06561%) d = 0.511591 +/- 0.3891 (76.05%) e = -114.152 +/- 1.509 (1.322%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.416 1.000 c -0.382 0.102 1.000 d 0.550 -0.932 -0.103 1.000 e -0.915 0.621 0.225 -0.788 1.000 ******************************************************************************* Mon Mar 18 12:25:09 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 = 53 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 6.3029248715e-06 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 2973 2.6440098903e-06 -2.28e-01 1.21e-03 3.515185e+02 3.826469e-01 After 2973 iterations the fit converged. final sum of squares of residuals : 2.64401e-06 rel. change during last iteration : -2.28199e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000227691 variance of residuals (reduced chisquare) = WSSR/ndf : 5.18433e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 351.518 +/- 49.42 (14.06%) b3 = 0.382647 +/- 0.02691 (7.033%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Mar 21 14:56:02 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Thu Mar 21 14:56:03 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 = 54 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 2.2576083292e-05 0.00e+00 2.08e-01 5.800000e-04 5 1.8585223963e-32 0.00e+00 2.08e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 1.85852e-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 12:10:13 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Mon Apr 8 12:10:14 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 = 54 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 2.2576083292e-05 0.00e+00 2.08e-01 5.800000e-04 5 1.8585223963e-32 0.00e+00 2.08e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 1.85852e-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 12:10:37 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 = 53 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 5.9443558244e+01 0.00e+00 1.41e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 7.5476685028e-04 -4.40e-09 1.41e-09 5.183541e+00 -5.898577e-02 -9.990180e-01 5.115910e-01 -1.141517e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000754767 rel. change during last iteration : -4.39561e-14 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00396539 variance of residuals (reduced chisquare) = WSSR/ndf : 1.57243e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18354 +/- 0.08181 (1.578%) b = -0.0589858 +/- 0.0166 (28.13%) c = -0.999018 +/- 0.0006554 (0.06561%) d = 0.511591 +/- 0.3891 (76.05%) e = -114.152 +/- 1.509 (1.322%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.416 1.000 c -0.382 0.102 1.000 d 0.550 -0.932 -0.103 1.000 e -0.915 0.621 0.225 -0.788 1.000 ******************************************************************************* Mon Apr 8 12:10:37 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 = 53 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 6.3029248715e-06 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 2973 2.6440098903e-06 -2.28e-01 1.21e-03 3.515185e+02 3.826469e-01 After 2973 iterations the fit converged. final sum of squares of residuals : 2.64401e-06 rel. change during last iteration : -2.28199e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000227691 variance of residuals (reduced chisquare) = WSSR/ndf : 5.18433e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 351.518 +/- 49.42 (14.06%) b3 = 0.382647 +/- 0.02691 (7.033%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:34:46 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 = 32 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 8.0657335739e+07 0.00e+00 7.92e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 2.8540110631e-03 -3.26e-04 7.92e-05 6.440101e-04 -4.343714e-04 -4.653110e-03 -4.549594e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.00285401 rel. change during last iteration : -3.26429e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.010096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00064401 +/- 6.331e-06 (0.9831%) b = -0.000434371 +/- 0.0002444 (56.26%) c = -0.00465311 +/- 0.002169 (46.62%) d = -4.54959e-06 +/- 2.902e-07 (6.378%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.320 1.000 c 0.537 0.115 1.000 d -0.600 -0.850 -0.210 1.000 ******************************************************************************* Mon Apr 8 15:34:47 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 = 54 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 8.7912050285e-07 0.00e+00 2.08e-01 5.800000e-04 5 4.4803449964e-32 0.00e+00 2.08e-06 5.803561e-04 After 5 iterations the fit converged. final sum of squares of residuals : 4.48034e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000580356 ******************************************************************************* Mon Apr 8 15:35:12 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 = 53 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 5.9443558244e+01 0.00e+00 1.41e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 7.5476685028e-04 -4.40e-09 1.41e-09 5.183541e+00 -5.898577e-02 -9.990180e-01 5.115910e-01 -1.141517e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000754767 rel. change during last iteration : -4.39561e-14 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00396539 variance of residuals (reduced chisquare) = WSSR/ndf : 1.57243e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18354 +/- 0.08181 (1.578%) b = -0.0589858 +/- 0.0166 (28.13%) c = -0.999018 +/- 0.0006554 (0.06561%) d = 0.511591 +/- 0.3891 (76.05%) e = -114.152 +/- 1.509 (1.322%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.416 1.000 c -0.382 0.102 1.000 d 0.550 -0.932 -0.103 1.000 e -0.915 0.621 0.225 -0.788 1.000 ******************************************************************************* Mon Apr 8 15:35:12 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 = 53 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 1.0866388182e-04 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 2969 2.6350818377e-06 -2.89e-01 1.21e-03 3.508769e+02 3.826599e-01 After 2969 iterations the fit converged. final sum of squares of residuals : 2.63508e-06 rel. change during last iteration : -2.8892e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000227307 variance of residuals (reduced chisquare) = WSSR/ndf : 5.16683e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 350.877 +/- 49.33 (14.06%) b3 = 0.38266 +/- 0.02691 (7.033%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:36:20 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 = 53 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 5.9443558244e+01 0.00e+00 1.41e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 7.5476685028e-04 -4.40e-09 1.41e-09 5.183541e+00 -5.898577e-02 -9.990180e-01 5.115910e-01 -1.141517e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000754767 rel. change during last iteration : -4.39561e-14 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00396539 variance of residuals (reduced chisquare) = WSSR/ndf : 1.57243e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18354 +/- 0.08181 (1.578%) b = -0.0589858 +/- 0.0166 (28.13%) c = -0.999018 +/- 0.0006554 (0.06561%) d = 0.511591 +/- 0.3891 (76.05%) e = -114.152 +/- 1.509 (1.322%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.416 1.000 c -0.382 0.102 1.000 d 0.550 -0.932 -0.103 1.000 e -0.915 0.621 0.225 -0.788 1.000 ******************************************************************************* Mon Apr 8 15:36:20 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 = 53 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 1.0866388182e-04 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 2969 2.6350818377e-06 -2.89e-01 1.21e-03 3.508769e+02 3.826599e-01 After 2969 iterations the fit converged. final sum of squares of residuals : 2.63508e-06 rel. change during last iteration : -2.8892e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000227307 variance of residuals (reduced chisquare) = WSSR/ndf : 5.16683e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 350.877 +/- 49.33 (14.06%) b3 = 0.38266 +/- 0.02691 (7.033%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000