******************************************************************************* Mon Mar 18 12:55:13 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 = 35 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 1.3991476726e+08 0.00e+00 9.99e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 7.7497133641e-04 -6.12e-03 9.99e-05 5.491119e-04 1.820652e-04 -7.903316e-03 2.234144e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000774971 rel. change during last iteration : -6.12143e-08 degrees of freedom (FIT_NDF) : 31 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00499991 variance of residuals (reduced chisquare) = WSSR/ndf : 2.49991e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000549112 +/- 1.801e-06 (0.3279%) b = 0.000182065 +/- 0.0001099 (60.38%) c = -0.00790332 +/- 0.001009 (12.77%) d = 2.23414e-07 +/- 9.63e-08 (43.1%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.547 -0.009 1.000 d 0.004 -0.898 0.008 1.000 ******************************************************************************* Mon Mar 18 12:55:14 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 = 51 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 3.5797285571e-05 0.00e+00 2.69e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.69e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 12:55:19 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 = 51 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 5.1744239029e+01 0.00e+00 8.16e-03 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0360532940e-05 -1.27e-05 8.16e-10 5.856463e+00 -8.019369e-03 -9.999112e-01 -2.359586e-01 -1.317885e+02 After 7 iterations the fit converged. final sum of squares of residuals : 1.03605e-05 rel. change during last iteration : -1.27236e-10 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000474583 variance of residuals (reduced chisquare) = WSSR/ndf : 2.25229e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.85646 +/- 0.0202 (0.3449%) b = -0.00801937 +/- 0.002415 (30.11%) c = -0.999911 +/- 7.698e-05 (0.007699%) d = -0.235959 +/- 0.07671 (32.51%) e = -131.788 +/- 0.5295 (0.4018%) correlation matrix of the fit parameters: a b c d e a 1.000 b 0.286 1.000 c -0.349 -0.014 1.000 d -0.369 -0.919 0.028 1.000 e -0.954 -0.366 0.237 0.503 1.000 ******************************************************************************* Mon Mar 18 12:55:19 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 = 51 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 3.8695756150e-06 0.00e+00 6.20e-01 2.279070e+02 4.753540e-01 578 2.7455062199e-07 -3.76e-01 6.20e-04 2.368895e+02 4.660858e-01 After 578 iterations the fit converged. final sum of squares of residuals : 2.74551e-07 rel. change during last iteration : -3.75986e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.48537e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.60307e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 236.889 +/- 33.93 (14.32%) b3 = 0.466086 +/- 0.03338 (7.162%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 12:55:36 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 = 51 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 5.1744239029e+01 0.00e+00 8.16e-03 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0360532940e-05 -1.27e-05 8.16e-10 5.856463e+00 -8.019369e-03 -9.999112e-01 -2.359586e-01 -1.317885e+02 After 7 iterations the fit converged. final sum of squares of residuals : 1.03605e-05 rel. change during last iteration : -1.27236e-10 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000474583 variance of residuals (reduced chisquare) = WSSR/ndf : 2.25229e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.85646 +/- 0.0202 (0.3449%) b = -0.00801937 +/- 0.002415 (30.11%) c = -0.999911 +/- 7.698e-05 (0.007699%) d = -0.235959 +/- 0.07671 (32.51%) e = -131.788 +/- 0.5295 (0.4018%) correlation matrix of the fit parameters: a b c d e a 1.000 b 0.286 1.000 c -0.349 -0.014 1.000 d -0.369 -0.919 0.028 1.000 e -0.954 -0.366 0.237 0.503 1.000 ******************************************************************************* Mon Mar 18 12:55:36 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 = 51 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 3.8695756150e-06 0.00e+00 6.20e-01 2.279070e+02 4.753540e-01 578 2.7455062199e-07 -3.76e-01 6.20e-04 2.368895e+02 4.660858e-01 After 578 iterations the fit converged. final sum of squares of residuals : 2.74551e-07 rel. change during last iteration : -3.75986e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.48537e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.60307e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 236.889 +/- 33.93 (14.32%) b3 = 0.466086 +/- 0.03338 (7.162%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 13:29:42 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 = 35 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 1.3991476726e+08 0.00e+00 9.99e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 7.7497133641e-04 -6.12e-03 9.99e-05 5.491119e-04 1.820652e-04 -7.903316e-03 2.234144e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000774971 rel. change during last iteration : -6.12143e-08 degrees of freedom (FIT_NDF) : 31 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00499991 variance of residuals (reduced chisquare) = WSSR/ndf : 2.49991e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000549112 +/- 1.801e-06 (0.3279%) b = 0.000182065 +/- 0.0001099 (60.38%) c = -0.00790332 +/- 0.001009 (12.77%) d = 2.23414e-07 +/- 9.63e-08 (43.1%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.547 -0.009 1.000 d 0.004 -0.898 0.008 1.000 ******************************************************************************* Mon Mar 18 13:29:43 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797285571e-05 0.00e+00 2.50e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.50e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 13:30:07 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.5002024812e+01 0.00e+00 1.41e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 9.3232109725e-04 -1.26e-09 1.41e-09 5.034168e+00 -3.989386e-02 -9.990008e-01 5.307006e-01 -1.129383e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000932321 rel. change during last iteration : -1.25594e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00419416 variance of residuals (reduced chisquare) = WSSR/ndf : 1.7591e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.03417 +/- 0.08336 (1.656%) b = -0.0398939 +/- 0.01698 (42.55%) c = -0.999001 +/- 0.0006653 (0.0666%) d = 0.530701 +/- 0.4058 (76.46%) e = -112.938 +/- 1.571 (1.391%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.492 1.000 c -0.385 0.089 1.000 d 0.594 -0.936 -0.091 1.000 e -0.916 0.676 0.220 -0.817 1.000 ******************************************************************************* Mon Mar 18 13:30:07 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 6.8907215355e-06 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3097 2.7137121045e-06 -7.88e-01 1.21e-03 3.610576e+02 3.775524e-01 After 3097 iterations the fit converged. final sum of squares of residuals : 2.71371e-06 rel. change during last iteration : -7.88358e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000220134 variance of residuals (reduced chisquare) = WSSR/ndf : 4.84591e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 361.058 +/- 48.44 (13.42%) b3 = 0.377552 +/- 0.02534 (6.711%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:30:38 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.5002024812e+01 0.00e+00 1.41e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 9.3232109725e-04 -1.26e-09 1.41e-09 5.034168e+00 -3.989386e-02 -9.990008e-01 5.307006e-01 -1.129383e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000932321 rel. change during last iteration : -1.25594e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00419416 variance of residuals (reduced chisquare) = WSSR/ndf : 1.7591e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.03417 +/- 0.08336 (1.656%) b = -0.0398939 +/- 0.01698 (42.55%) c = -0.999001 +/- 0.0006653 (0.0666%) d = 0.530701 +/- 0.4058 (76.46%) e = -112.938 +/- 1.571 (1.391%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.492 1.000 c -0.385 0.089 1.000 d 0.594 -0.936 -0.091 1.000 e -0.916 0.676 0.220 -0.817 1.000 ******************************************************************************* Mon Apr 8 15:30:39 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 3.5341110095e-02 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3024 2.5487571419e-06 -9.82e-02 1.21e-03 3.489839e+02 3.778022e-01 After 3024 iterations the fit converged. final sum of squares of residuals : 2.54876e-06 rel. change during last iteration : -9.82269e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000213339 variance of residuals (reduced chisquare) = WSSR/ndf : 4.55135e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 348.984 +/- 46.82 (13.42%) b3 = 0.377802 +/- 0.02535 (6.711%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:30:48 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.5002024812e+01 0.00e+00 1.41e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 9.3232109725e-04 -1.26e-09 1.41e-09 5.034168e+00 -3.989386e-02 -9.990008e-01 5.307006e-01 -1.129383e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.000932321 rel. change during last iteration : -1.25594e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00419416 variance of residuals (reduced chisquare) = WSSR/ndf : 1.7591e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.03417 +/- 0.08336 (1.656%) b = -0.0398939 +/- 0.01698 (42.55%) c = -0.999001 +/- 0.0006653 (0.0666%) d = 0.530701 +/- 0.4058 (76.46%) e = -112.938 +/- 1.571 (1.391%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.492 1.000 c -0.385 0.089 1.000 d 0.594 -0.936 -0.091 1.000 e -0.916 0.676 0.220 -0.817 1.000 ******************************************************************************* Mon Apr 8 15:30:48 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 3.5341110095e-02 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3024 2.5487571419e-06 -9.82e-02 1.21e-03 3.489839e+02 3.778022e-01 After 3024 iterations the fit converged. final sum of squares of residuals : 2.54876e-06 rel. change during last iteration : -9.82269e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000213339 variance of residuals (reduced chisquare) = WSSR/ndf : 4.55135e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 348.984 +/- 46.82 (13.42%) b3 = 0.377802 +/- 0.02535 (6.711%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:30:56 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 = 35 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 1.3991476726e+08 0.00e+00 9.99e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 7.7497133641e-04 -6.12e-03 9.99e-05 5.491119e-04 1.820652e-04 -7.903316e-03 2.234144e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000774971 rel. change during last iteration : -6.12143e-08 degrees of freedom (FIT_NDF) : 31 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00499991 variance of residuals (reduced chisquare) = WSSR/ndf : 2.49991e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000549112 +/- 1.801e-06 (0.3279%) b = 0.000182065 +/- 0.0001099 (60.38%) c = -0.00790332 +/- 0.001009 (12.77%) d = 2.23414e-07 +/- 9.63e-08 (43.1%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.547 -0.009 1.000 d 0.004 -0.898 0.008 1.000 ******************************************************************************* Mon Apr 8 15:30:57 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 6.8029171348e-04 0.00e+00 2.50e-01 5.800000e-04 5 6.2833464436e-33 0.00e+00 2.50e-06 5.878661e-04 After 5 iterations the fit converged. final sum of squares of residuals : 6.28335e-33 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000587866 ******************************************************************************* Mon Apr 8 15:31:22 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 35 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 1.3991476726e+08 0.00e+00 9.99e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 7.7497133641e-04 -6.12e-03 9.99e-05 5.491119e-04 1.820652e-04 -7.903316e-03 2.234144e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000774971 rel. change during last iteration : -6.12143e-08 degrees of freedom (FIT_NDF) : 31 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00499991 variance of residuals (reduced chisquare) = WSSR/ndf : 2.49991e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000549112 +/- 1.801e-06 (0.3279%) b = 0.000182065 +/- 0.0001099 (60.38%) c = -0.00790332 +/- 0.001009 (12.77%) d = 2.23414e-07 +/- 9.63e-08 (43.1%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.547 -0.009 1.000 d 0.004 -0.898 0.008 1.000 ******************************************************************************* Mon Apr 8 15:31:23 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 6.8029171348e-04 0.00e+00 2.50e-01 5.800000e-04 5 6.2833464436e-33 0.00e+00 2.50e-06 5.878661e-04 After 5 iterations the fit converged. final sum of squares of residuals : 6.28335e-33 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000587866