******************************************************************************* Tue Apr 9 14:57:13 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 6.6258923007e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1508125542e-03 -3.43e-09 1.43e-09 5.267808e+00 1.277408e-01 -9.987772e-01 -6.572118e-02 -1.141854e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00115081 rel. change during last iteration : -3.42931e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00457426 variance of residuals (reduced chisquare) = WSSR/ndf : 2.09239e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26781 +/- 0.08617 (1.636%) b = 0.127741 +/- 0.01787 (13.99%) c = -0.998777 +/- 0.0007295 (0.07304%) d = -0.0657212 +/- 0.4332 (659.1%) e = -114.185 +/- 1.656 (1.451%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Tue Apr 9 14:57:13 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 7.7144340631e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3140 2.9078098673e-06 -7.17e-01 1.24e-03 3.668996e+02 3.745639e-01 After 3140 iterations the fit converged. final sum of squares of residuals : 2.90781e-06 rel. change during last iteration : -7.16952e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223908 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01347e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.9 +/- 48.37 (13.18%) b3 = 0.374564 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Apr 9 14:57:51 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 6.6258923007e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1508125542e-03 -3.43e-09 1.43e-09 5.267808e+00 1.277408e-01 -9.987772e-01 -6.572118e-02 -1.141854e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00115081 rel. change during last iteration : -3.42931e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00457426 variance of residuals (reduced chisquare) = WSSR/ndf : 2.09239e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26781 +/- 0.08617 (1.636%) b = 0.127741 +/- 0.01787 (13.99%) c = -0.998777 +/- 0.0007295 (0.07304%) d = -0.0657212 +/- 0.4332 (659.1%) e = -114.185 +/- 1.656 (1.451%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Tue Apr 9 14:57:51 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 7.7144340631e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3140 2.9078098673e-06 -7.17e-01 1.24e-03 3.668996e+02 3.745639e-01 After 3140 iterations the fit converged. final sum of squares of residuals : 2.90781e-06 rel. change during last iteration : -7.16952e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223908 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01347e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.9 +/- 48.37 (13.18%) b3 = 0.374564 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Apr 9 16:16:14 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 6.6258923007e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1508125542e-03 -3.43e-09 1.43e-09 5.267808e+00 1.277408e-01 -9.987772e-01 -6.572118e-02 -1.141854e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00115081 rel. change during last iteration : -3.42931e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00457426 variance of residuals (reduced chisquare) = WSSR/ndf : 2.09239e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26781 +/- 0.08617 (1.636%) b = 0.127741 +/- 0.01787 (13.99%) c = -0.998777 +/- 0.0007295 (0.07304%) d = -0.0657212 +/- 0.4332 (659.1%) e = -114.185 +/- 1.656 (1.451%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Tue Apr 9 16:16:14 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 7.7144340631e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3140 2.9078098673e-06 -7.17e-01 1.24e-03 3.668996e+02 3.745639e-01 After 3140 iterations the fit converged. final sum of squares of residuals : 2.90781e-06 rel. change during last iteration : -7.16952e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223908 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01347e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.9 +/- 48.37 (13.18%) b3 = 0.374564 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Apr 9 16:16:25 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991586971e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.1189633211e-05 -1.01e-01 1.01e-04 5.433964e-04 -3.386659e-05 -8.033536e-03 -7.278423e-10 After 7 iterations the fit converged. final sum of squares of residuals : 6.11896e-05 rel. change during last iteration : -1.01131e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00142816 variance of residuals (reduced chisquare) = WSSR/ndf : 2.03965e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000543396 +/- 5.176e-07 (0.09524%) b = -3.38666e-05 +/- 3.141e-05 (92.75%) c = -0.00803354 +/- 0.0002943 (3.664%) d = -7.27842e-10 +/- 2.752e-08 (3781%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.000 1.000 c 0.554 -0.000 1.000 d 0.000 -0.898 0.000 1.000 ******************************************************************************* Tue Apr 9 16:16:26 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 = 61 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 4.3348585572e-05 0.00e+00 2.46e-01 5.800000e-04 6 7.5751136426e-32 0.00e+00 2.46e-01 5.780144e-04 After 6 iterations the fit converged. final sum of squares of residuals : 7.57511e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000578014 ******************************************************************************* Tue Apr 9 16:16:46 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 6.6258923007e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1508125542e-03 -3.43e-09 1.43e-09 5.267808e+00 1.277408e-01 -9.987772e-01 -6.572118e-02 -1.141854e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00115081 rel. change during last iteration : -3.42931e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00457426 variance of residuals (reduced chisquare) = WSSR/ndf : 2.09239e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26781 +/- 0.08617 (1.636%) b = 0.127741 +/- 0.01787 (13.99%) c = -0.998777 +/- 0.0007295 (0.07304%) d = -0.0657212 +/- 0.4332 (659.1%) e = -114.185 +/- 1.656 (1.451%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Tue Apr 9 16:16:46 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 7.7144340631e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3140 2.9078098673e-06 -7.17e-01 1.24e-03 3.668996e+02 3.745639e-01 After 3140 iterations the fit converged. final sum of squares of residuals : 2.90781e-06 rel. change during last iteration : -7.16952e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223908 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01347e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.9 +/- 48.37 (13.18%) b3 = 0.374564 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000