******************************************************************************* Wed Mar 20 15:32:32 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 6.4686708237e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 6 2.5854371837e-02 -4.18e-02 1.43e-08 3.300025e+00 -3.482347e-02 -9.955807e-01 -4.878370e-01 -6.839411e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0258544 rel. change during last iteration : -4.17608e-07 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0216813 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000470079 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 3.30002 +/- 0.4189 (12.69%) b = -0.0348235 +/- 0.08341 (239.5%) c = -0.995581 +/- 0.00346 (0.3475%) d = -0.487837 +/- 1.957 (401.1%) e = -68.3941 +/- 7.76 (11.35%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Wed Mar 20 15:32:32 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 = 86 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 1.1435202588e-05 0.00e+00 1.14e+00 2.279070e+02 4.753540e-01 3552 2.9250421535e-06 -6.40e-01 1.14e-03 4.141825e+02 3.524768e-01 After 3552 iterations the fit converged. final sum of squares of residuals : 2.92504e-06 rel. change during last iteration : -6.39593e-06 degrees of freedom (FIT_NDF) : 84 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000186606 variance of residuals (reduced chisquare) = WSSR/ndf : 3.48219e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 414.183 +/- 45.36 (10.95%) b3 = 0.352477 +/- 0.01931 (5.477%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Mar 20 15:33:38 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 6.4686708237e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 6 2.5854371837e-02 -4.18e-02 1.43e-08 3.300025e+00 -3.482347e-02 -9.955807e-01 -4.878370e-01 -6.839411e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0258544 rel. change during last iteration : -4.17608e-07 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0216813 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000470079 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 3.30002 +/- 0.4189 (12.69%) b = -0.0348235 +/- 0.08341 (239.5%) c = -0.995581 +/- 0.00346 (0.3475%) d = -0.487837 +/- 1.957 (401.1%) e = -68.3941 +/- 7.76 (11.35%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Wed Mar 20 15:33:38 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 = 86 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 1.1435202588e-05 0.00e+00 1.14e+00 2.279070e+02 4.753540e-01 3552 2.9250421535e-06 -6.40e-01 1.14e-03 4.141825e+02 3.524768e-01 After 3552 iterations the fit converged. final sum of squares of residuals : 2.92504e-06 rel. change during last iteration : -6.39593e-06 degrees of freedom (FIT_NDF) : 84 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000186606 variance of residuals (reduced chisquare) = WSSR/ndf : 3.48219e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 414.183 +/- 45.36 (10.95%) b3 = 0.352477 +/- 0.01931 (5.477%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Mar 20 15:33:50 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 = 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 2.0000925922e+12 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 1.0153290518e+12 -1.16e-06 1.01e-04 3.374379e+02 -8.194453e-05 4.756925e+04 1.436670e-07 After 7 iterations the fit converged. final sum of squares of residuals : 1.01533e+12 rel. change during last iteration : -1.1636e-11 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 183968 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38443e+10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 337.438 +/- 66.67 (19.76%) b = -8.19445e-05 +/- 4046 (4.938e+09%) c = 47569.3 +/- 3.791e+04 (79.7%) d = 1.43667e-07 +/- 3.545 (2.467e+09%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Wed Mar 20 15:33:51 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Wed Mar 20 18:34:49 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.0001002617e+12 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 1.0153316032e+12 -1.09e-06 1.01e-04 3.374383e+02 1.715877e-02 4.756871e+04 -1.344261e-05 After 7 iterations the fit converged. final sum of squares of residuals : 1.01533e+12 rel. change during last iteration : -1.0932e-11 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 183968 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38444e+10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 337.438 +/- 66.67 (19.76%) b = 0.0171588 +/- 4046 (2.358e+07%) c = 47568.7 +/- 3.791e+04 (79.7%) d = -1.34426e-05 +/- 3.545 (2.637e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Wed Mar 20 18:34:50 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Wed Mar 20 18:34:55 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 6.6209017147e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.7521224543e-03 -1.46e-09 1.43e-09 5.131907e+00 -4.282984e-02 -9.984974e-01 2.935935e-01 -1.077441e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00175212 rel. change during last iteration : -1.46035e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00564418 variance of residuals (reduced chisquare) = WSSR/ndf : 3.18568e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.13191 +/- 0.109 (2.125%) b = -0.0428298 +/- 0.02171 (50.7%) c = -0.998497 +/- 0.0009007 (0.0902%) d = 0.293594 +/- 0.5093 (173.5%) e = -107.744 +/- 2.02 (1.875%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.534 1.000 c -0.395 0.069 1.000 d 0.627 -0.943 -0.078 1.000 e -0.927 0.697 0.223 -0.821 1.000 ******************************************************************************* Wed Mar 20 18:34:55 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Mar 20 18:37:31 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-z)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z ******************************************************************************* Wed Mar 20 18:37:46 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 5.7893261585e+07 0.00e+00 6.72e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 3.2961415725e-04 -6.02e-04 6.72e-05 5.510587e-04 -3.308194e-05 -1.019139e-02 -7.991570e-12 After 7 iterations the fit converged. final sum of squares of residuals : 0.000329614 rel. change during last iteration : -6.02389e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00343103 variance of residuals (reduced chisquare) = WSSR/ndf : 1.17719e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000551059 +/- 1.693e-06 (0.3072%) b = -3.30819e-05 +/- 8.723e-05 (263.7%) c = -0.0101914 +/- 0.0007254 (7.117%) d = -7.99157e-12 +/- 9.952e-08 (1.245e+06%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.548 -0.000 1.000 d 0.000 -0.891 0.000 1.000 ******************************************************************************* Wed Mar 20 18:37:46 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Wed Mar 20 18:38:33 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 5.7893261585e+07 0.00e+00 6.72e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 3.2961415725e-04 -6.02e-04 6.72e-05 5.510587e-04 -3.308194e-05 -1.019139e-02 -7.991570e-12 After 7 iterations the fit converged. final sum of squares of residuals : 0.000329614 rel. change during last iteration : -6.02389e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00343103 variance of residuals (reduced chisquare) = WSSR/ndf : 1.17719e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000551059 +/- 1.693e-06 (0.3072%) b = -3.30819e-05 +/- 8.723e-05 (263.7%) c = -0.0101914 +/- 0.0007254 (7.117%) d = -7.99157e-12 +/- 9.952e-08 (1.245e+06%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.548 -0.000 1.000 d 0.000 -0.891 0.000 1.000 ******************************************************************************* Wed Mar 20 18:38:33 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Wed Mar 20 18:39:32 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 5.7893261585e+07 0.00e+00 6.72e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 3.2961415725e-04 -6.02e-04 6.72e-05 5.510587e-04 -3.308194e-05 -1.019139e-02 -7.991570e-12 After 7 iterations the fit converged. final sum of squares of residuals : 0.000329614 rel. change during last iteration : -6.02389e-09 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00343103 variance of residuals (reduced chisquare) = WSSR/ndf : 1.17719e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000551059 +/- 1.693e-06 (0.3072%) b = -3.30819e-05 +/- 8.723e-05 (263.7%) c = -0.0101914 +/- 0.0007254 (7.117%) d = -7.99157e-12 +/- 9.952e-08 (1.245e+06%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.548 -0.000 1.000 d 0.000 -0.891 0.000 1.000 ******************************************************************************* Wed Mar 20 18:39:32 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.48e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.48e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804