******************************************************************************* Mon Apr 8 19:46:22 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 1.3991474393e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 9.0822034133e-04 -6.85e-03 1.01e-04 5.447914e-04 2.009893e-04 -8.364065e-03 2.169579e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.00090822 rel. change during last iteration : -6.85462e-08 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00550218 variance of residuals (reduced chisquare) = WSSR/ndf : 3.0274e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000544791 +/- 1.994e-06 (0.366%) b = 0.000200989 +/- 0.000121 (60.21%) c = -0.00836406 +/- 0.001134 (13.56%) d = 2.16958e-07 +/- 1.06e-07 (48.86%) 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 ******************************************************************************* Mon Apr 8 19:46:24 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 6.8029158972e-04 0.00e+00 2.46e-01 5.800000e-04 5 6.2833464436e-33 0.00e+00 2.46e-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 19:46:28 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 6.7261511362e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1500324579e-03 -2.62e-09 1.43e-09 5.064528e+00 -3.309874e-02 -9.987727e-01 -1.527188e-01 -1.124917e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00115003 rel. change during last iteration : -2.62087e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00457271 variance of residuals (reduced chisquare) = WSSR/ndf : 2.09097e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.06453 +/- 0.08614 (1.701%) b = -0.0330987 +/- 0.01787 (53.98%) c = -0.998773 +/- 0.0007293 (0.07302%) d = -0.152719 +/- 0.433 (283.5%) e = -112.492 +/- 1.656 (1.472%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Mon Apr 8 19:46:28 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 3.6659600472e-02 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3073 2.7332399071e-06 -1.57e-01 1.24e-03 3.548348e+02 3.747954e-01 After 3073 iterations the fit converged. final sum of squares of residuals : 2.73324e-06 rel. change during last iteration : -1.56979e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000217083 variance of residuals (reduced chisquare) = WSSR/ndf : 4.71248e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 354.835 +/- 46.78 (13.18%) b3 = 0.374795 +/- 0.02471 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Apr 9 08:18:50 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 1.3991585139e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 5.9522621115e-05 -1.04e-01 1.01e-04 5.421384e-04 -5.841841e-05 -8.173406e-03 2.519642e-08 After 7 iterations the fit converged. final sum of squares of residuals : 5.95226e-05 rel. change during last iteration : -1.04229e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00140858 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98409e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000542138 +/- 5.105e-07 (0.09416%) b = -5.84184e-05 +/- 3.098e-05 (53.03%) c = -0.00817341 +/- 0.0002903 (3.551%) d = 2.51964e-08 +/- 2.714e-08 (107.7%) 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 08:18:50 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 = 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 6.3637797852e-06 0.00e+00 2.46e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.46e-06 5.792392e-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 = 0.000579239 ******************************************************************************* Tue Apr 9 08:18:54 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 08:18:54 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 08:19:19 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 = 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 08:19:19 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 = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 08:19:26 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 08:19:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 08:19:34 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 08:19:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 10 13:47:07 2019 FIT: data read from 'compile_spin_data.dat' u 8:($20<1.e7 ? ($28):1/0) format = x:z x range restricted to [-0.00300000 : 0.00400000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 5.7641199386e+01 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 7 2.4607057255e-09 -1.49e-01 5.77e-08 4.901478e-06 8.035548e+00 9.790764e-01 After 7 iterations the fit converged. final sum of squares of residuals : 2.46071e-09 rel. change during last iteration : -1.49251e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.6888e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.47401e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.90148e-06 +/- 1.013e-06 (20.68%) b = 8.03555 +/- 0.001075 (0.01338%) c = 0.979076 +/- 0.4451 (45.46%) correlation matrix of the fit parameters: a b c a 1.000 b 0.071 1.000 c -0.385 -0.740 1.000 ******************************************************************************* Wed Apr 10 14:08:35 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + a2*cos(b2*x) +dk*x**3 +ek*x**4 BREAK: Need via and either parameter list or file ******************************************************************************* Wed Apr 10 14:08:54 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + a2*cos(b2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223923378e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 1.4016252028e-04 -8.46e-03 5.62e-04 -3.608875e-03 -1.017303e-03 -9.981626e-01 -5.522090e-06 3.355965e-07 After 8 iterations the fit converged. final sum of squares of residuals : 0.000140163 rel. change during last iteration : -8.45869e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00164178 variance of residuals (reduced chisquare) = WSSR/ndf : 2.69543e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.00360887 +/- 4.399e-06 (0.1219%) bk = -0.0010173 +/- 8.764e-05 (8.615%) ck = -0.998163 +/- 0.0002602 (0.02607%) dk = -5.52209e-06 +/- 3.417e-07 (6.188%) ek = 3.35596e-07 +/- 1.31e-08 (3.903%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:10:39 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + a2*cos(b2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 1.4016252028e-04 0.00e+00 5.68e-01 -3.608875e-03 -1.017303e-03 -9.981626e-01 -5.522090e-06 3.355965e-07 1 1.4016252028e-04 -2.11e-09 5.68e-02 -3.608875e-03 -1.017303e-03 -9.981626e-01 -5.522090e-06 3.355965e-07 After 1 iterations the fit converged. final sum of squares of residuals : 0.000140163 rel. change during last iteration : -2.10788e-14 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00164178 variance of residuals (reduced chisquare) = WSSR/ndf : 2.69543e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.00360887 +/- 4.399e-06 (0.1219%) bk = -0.0010173 +/- 8.764e-05 (8.615%) ck = -0.998163 +/- 0.0002602 (0.02607%) dk = -5.52209e-06 +/- 3.417e-07 (6.188%) ek = 3.35596e-07 +/- 1.31e-08 (3.903%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:11:16 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 4.1697905891e+01 0.00e+00 5.68e-01 -3.608875e-03 -1.017303e-03 -9.981626e-01 -5.522090e-06 3.355965e-07 4 2.5783248391e+01 -3.94e-01 5.68e-05 -1.332403e-05 -4.079396e-03 -7.951874e-01 -3.589629e-06 -3.017880e-06 After 4 iterations the fit converged. final sum of squares of residuals : 25.7832 rel. change during last iteration : -3.94216e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.704153 variance of residuals (reduced chisquare) = WSSR/ndf : 0.495832 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -1.3324e-05 +/- 0.001887 (1.416e+04%) bk = -0.0040794 +/- 0.03759 (921.4%) ck = -0.795187 +/- 0.1116 (14.03%) dk = -3.58963e-06 +/- 0.0001465 (4082%) ek = -3.01788e-06 +/- 5.619e-06 (186.2%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:11:37 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 2.7060953041e+00 0.00e+00 3.94e-01 -1.332403e-05 -4.079396e-03 -7.951874e-01 -3.589629e-06 -3.017880e-06 6 2.4641081171e-04 -7.55e-07 3.94e-07 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956253e-07 -1.169487e-06 After 6 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -7.54728e-12 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:15:13 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:15:13 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 = 56 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 3.5605227379e+02 0.00e+00 4.51e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 4.0844874379e-06 -8.13e-05 4.51e-07 -2.408750e+01 -2.218543e-02 -9.999668e-01 -1.235884e-01 2.315195e+00 After 6 iterations the fit converged. final sum of squares of residuals : 4.08449e-06 rel. change during last iteration : -8.12977e-10 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000282998 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0088e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -24.0875 +/- 0.005891 (0.02446%) bk = -0.0221854 +/- 0.001234 (5.564%) ck = -0.999967 +/- 4.517e-05 (0.004517%) dk = -0.123588 +/- 0.03151 (25.5%) ek = 2.31519 +/- 0.1144 (4.943%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.611 1.000 ck -0.362 0.055 1.000 dk 0.553 -0.902 -0.043 1.000 ek -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:15:13 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:17:06 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:17:06 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 = 56 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 3.5605227379e+02 0.00e+00 4.51e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 4.0844874379e-06 -8.13e-05 4.51e-07 -2.408750e+01 -2.218543e-02 -9.999668e-01 -1.235884e-01 2.315195e+00 After 6 iterations the fit converged. final sum of squares of residuals : 4.08449e-06 rel. change during last iteration : -8.12977e-10 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000282998 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0088e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -24.0875 +/- 0.005891 (0.02446%) bk = -0.0221854 +/- 0.001234 (5.564%) ck = -0.999967 +/- 4.517e-05 (0.004517%) dk = -0.123588 +/- 0.03151 (25.5%) ek = 2.31519 +/- 0.1144 (4.943%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.611 1.000 ck -0.362 0.055 1.000 dk 0.553 -0.902 -0.043 1.000 ek -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:17:06 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:18:09 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:18:09 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 = 56 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 3.5605227379e+02 0.00e+00 4.51e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 4.0844874379e-06 -8.13e-05 4.51e-07 -2.408750e+01 -2.218543e-02 -9.999668e-01 -1.235884e-01 2.315195e+00 After 6 iterations the fit converged. final sum of squares of residuals : 4.08449e-06 rel. change during last iteration : -8.12977e-10 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000282998 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0088e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -24.0875 +/- 0.005891 (0.02446%) bk = -0.0221854 +/- 0.001234 (5.564%) ck = -0.999967 +/- 4.517e-05 (0.004517%) dk = -0.123588 +/- 0.03151 (25.5%) ek = 2.31519 +/- 0.1144 (4.943%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.611 1.000 ck -0.362 0.055 1.000 dk 0.553 -0.902 -0.043 1.000 ek -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:18:09 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:19:20 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:19:20 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 = 56 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 3.5605227379e+02 0.00e+00 4.51e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 4.0844874379e-06 -8.13e-05 4.51e-07 -2.408750e+01 -2.218543e-02 -9.999668e-01 -1.235884e-01 2.315195e+00 After 6 iterations the fit converged. final sum of squares of residuals : 4.08449e-06 rel. change during last iteration : -8.12977e-10 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000282998 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0088e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -24.0875 +/- 0.005891 (0.02446%) bk = -0.0221854 +/- 0.001234 (5.564%) ck = -0.999967 +/- 4.517e-05 (0.004517%) dk = -0.123588 +/- 0.03151 (25.5%) ek = 2.31519 +/- 0.1144 (4.943%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.611 1.000 ck -0.362 0.055 1.000 dk 0.553 -0.902 -0.043 1.000 ek -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:19:20 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:21:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:21:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:21:08 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 3.8583739387e+02 0.00e+00 4.51e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 5.1960403980e-06 -2.09e-05 4.51e-07 -2.409969e+01 -2.132728e-02 -9.999469e-01 -1.533159e-01 2.558313e+00 After 6 iterations the fit converged. final sum of squares of residuals : 5.19604e-06 rel. change during last iteration : -2.09174e-10 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000316107 variance of residuals (reduced chisquare) = WSSR/ndf : 9.99239e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -24.0997 +/- 0.005472 (0.02271%) bk = -0.0213273 +/- 0.001355 (6.351%) ck = -0.999947 +/- 5.01e-05 (0.00501%) dk = -0.153316 +/- 0.03405 (22.21%) ek = 2.55831 +/- 0.105 (4.105%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.621 1.000 ck -0.358 0.034 1.000 dk 0.513 -0.899 -0.014 1.000 ek -0.780 0.817 0.137 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:28:57 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z ******************************************************************************* Wed Apr 10 14:29:18 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:30:48 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:30:48 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:30:51 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 3.8583739387e+02 0.00e+00 4.51e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 5.1960403980e-06 -2.09e-05 4.51e-07 -2.409969e+01 -2.132728e-02 -9.999469e-01 -1.533159e-01 2.558313e+00 After 6 iterations the fit converged. final sum of squares of residuals : 5.19604e-06 rel. change during last iteration : -2.09174e-10 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000316107 variance of residuals (reduced chisquare) = WSSR/ndf : 9.99239e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -24.0997 +/- 0.005472 (0.02271%) bk = -0.0213273 +/- 0.001355 (6.351%) ck = -0.999947 +/- 5.01e-05 (0.00501%) dk = -0.153316 +/- 0.03405 (22.21%) ek = 2.55831 +/- 0.105 (4.105%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.621 1.000 ck -0.358 0.034 1.000 dk 0.513 -0.899 -0.014 1.000 ek -0.780 0.817 0.137 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:34:01 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:34:01 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:34:05 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 3.8583739387e+02 0.00e+00 4.51e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 5.1960403980e-06 -2.09e-05 4.51e-07 -2.409969e+01 -2.132728e-02 -9.999469e-01 -1.533159e-01 2.558313e+00 After 6 iterations the fit converged. final sum of squares of residuals : 5.19604e-06 rel. change during last iteration : -2.09174e-10 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000316107 variance of residuals (reduced chisquare) = WSSR/ndf : 9.99239e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -24.0997 +/- 0.005472 (0.02271%) bk = -0.0213273 +/- 0.001355 (6.351%) ck = -0.999947 +/- 5.01e-05 (0.00501%) dk = -0.153316 +/- 0.03405 (22.21%) ek = 2.55831 +/- 0.105 (4.105%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.621 1.000 ck -0.358 0.034 1.000 dk 0.513 -0.899 -0.014 1.000 ek -0.780 0.817 0.137 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:35:00 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:35:00 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:35:04 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 1.3641948671e+02 0.00e+00 4.47e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 17 3.1063033826e-27 -1.15e-11 4.47e-02 3.042000e-03 -7.463453e-12 -1.000000e+00 1.298998e-07 6.037564e-06 After 17 iterations the fit converged. final sum of squares of residuals : 3.1063e-27 rel. change during last iteration : -1.15485e-16 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.03496e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 1.07114e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.003042 +/- 1.334e-10 (4.385e-06%) bk = -7.46345e-12 +/- 2.843e-13 (3.81%) ck = -1 +/- 4.634e-15 (4.634e-13%) dk = 1.299e-07 +/- 8.05e-09 (6.197%) ek = 6.03756e-06 +/- 8.785e-07 (14.55%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk 0.011 1.000 ck -0.769 -0.027 1.000 dk -0.335 -0.453 -0.136 1.000 ek -0.801 -0.187 0.326 0.802 1.000 ******************************************************************************* Wed Apr 10 14:38:53 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:38:53 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:38:57 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 14:40:16 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:40:16 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:43:10 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:43:10 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:44:58 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:44:58 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:45:01 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 1.3641948671e+02 0.00e+00 4.47e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 17 3.1063033826e-27 -1.15e-11 4.47e-02 3.042000e-03 -7.463453e-12 -1.000000e+00 1.298998e-07 6.037564e-06 After 17 iterations the fit converged. final sum of squares of residuals : 3.1063e-27 rel. change during last iteration : -1.15485e-16 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.03496e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 1.07114e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.003042 +/- 1.334e-10 (4.385e-06%) bk = -7.46345e-12 +/- 2.843e-13 (3.81%) ck = -1 +/- 4.634e-15 (4.634e-13%) dk = 1.299e-07 +/- 8.05e-09 (6.197%) ek = 6.03756e-06 +/- 8.785e-07 (14.55%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk 0.011 1.000 ck -0.769 -0.027 1.000 dk -0.335 -0.453 -0.136 1.000 ek -0.801 -0.187 0.326 0.802 1.000 ******************************************************************************* Wed Apr 10 14:45:44 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:45:44 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:45:47 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 1.3641948671e+02 0.00e+00 4.47e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 17 3.1063033826e-27 -1.15e-11 4.47e-02 3.042000e-03 -7.463453e-12 -1.000000e+00 1.298998e-07 6.037564e-06 After 17 iterations the fit converged. final sum of squares of residuals : 3.1063e-27 rel. change during last iteration : -1.15485e-16 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.03496e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 1.07114e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.003042 +/- 1.334e-10 (4.385e-06%) bk = -7.46345e-12 +/- 2.843e-13 (3.81%) ck = -1 +/- 4.634e-15 (4.634e-13%) dk = 1.299e-07 +/- 8.05e-09 (6.197%) ek = 6.03756e-06 +/- 8.785e-07 (14.55%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk 0.011 1.000 ck -0.769 -0.027 1.000 dk -0.335 -0.453 -0.136 1.000 ek -0.801 -0.187 0.326 0.802 1.000 ******************************************************************************* Wed Apr 10 14:46:23 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:46:23 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:46:27 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 1.3641948671e+02 0.00e+00 4.47e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 17 3.1063033826e-27 -1.15e-11 4.47e-02 3.042000e-03 -7.463453e-12 -1.000000e+00 1.298998e-07 6.037564e-06 After 17 iterations the fit converged. final sum of squares of residuals : 3.1063e-27 rel. change during last iteration : -1.15485e-16 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.03496e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 1.07114e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.003042 +/- 1.334e-10 (4.385e-06%) bk = -7.46345e-12 +/- 2.843e-13 (3.81%) ck = -1 +/- 4.634e-15 (4.634e-13%) dk = 1.299e-07 +/- 8.05e-09 (6.197%) ek = 6.03756e-06 +/- 8.785e-07 (14.55%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk 0.011 1.000 ck -0.769 -0.027 1.000 dk -0.335 -0.453 -0.136 1.000 ek -0.801 -0.187 0.326 0.802 1.000 ******************************************************************************* Wed Apr 10 14:46:41 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:46:41 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:46:45 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 1.3641948671e+02 0.00e+00 4.47e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 17 3.1063033826e-27 -1.15e-11 4.47e-02 3.042000e-03 -7.463453e-12 -1.000000e+00 1.298998e-07 6.037564e-06 After 17 iterations the fit converged. final sum of squares of residuals : 3.1063e-27 rel. change during last iteration : -1.15485e-16 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.03496e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 1.07114e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.003042 +/- 1.334e-10 (4.385e-06%) bk = -7.46345e-12 +/- 2.843e-13 (3.81%) ck = -1 +/- 4.634e-15 (4.634e-13%) dk = 1.299e-07 +/- 8.05e-09 (6.197%) ek = 6.03756e-06 +/- 8.785e-07 (14.55%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk 0.011 1.000 ck -0.769 -0.027 1.000 dk -0.335 -0.453 -0.136 1.000 ek -0.801 -0.187 0.326 0.802 1.000 ******************************************************************************* Wed Apr 10 14:50:23 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:50:23 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:50:26 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 1.3641948671e+02 0.00e+00 4.47e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 17 3.1063033826e-27 -1.15e-11 4.47e-02 3.042000e-03 -7.463453e-12 -1.000000e+00 1.298998e-07 6.037564e-06 After 17 iterations the fit converged. final sum of squares of residuals : 3.1063e-27 rel. change during last iteration : -1.15485e-16 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.03496e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 1.07114e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.003042 +/- 1.334e-10 (4.385e-06%) bk = -7.46345e-12 +/- 2.843e-13 (3.81%) ck = -1 +/- 4.634e-15 (4.634e-13%) dk = 1.299e-07 +/- 8.05e-09 (6.197%) ek = 6.03756e-06 +/- 8.785e-07 (14.55%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk 0.011 1.000 ck -0.769 -0.027 1.000 dk -0.335 -0.453 -0.136 1.000 ek -0.801 -0.187 0.326 0.802 1.000 ******************************************************************************* Wed Apr 10 14:51:29 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:51:29 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:51:33 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-0.450000 : 0.450000] #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 1.3641948671e+02 0.00e+00 4.47e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 17 3.1063033826e-27 -1.15e-11 4.47e-02 3.042000e-03 -7.463453e-12 -1.000000e+00 1.298998e-07 6.037564e-06 After 17 iterations the fit converged. final sum of squares of residuals : 3.1063e-27 rel. change during last iteration : -1.15485e-16 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.03496e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 1.07114e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.003042 +/- 1.334e-10 (4.385e-06%) bk = -7.46345e-12 +/- 2.843e-13 (3.81%) ck = -1 +/- 4.634e-15 (4.634e-13%) dk = 1.299e-07 +/- 8.05e-09 (6.197%) ek = 6.03756e-06 +/- 8.785e-07 (14.55%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk 0.011 1.000 ck -0.769 -0.027 1.000 dk -0.335 -0.453 -0.136 1.000 ek -0.801 -0.187 0.326 0.802 1.000 ******************************************************************************* Wed Apr 10 14:52:58 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 14:52:58 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 14:53:01 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 15:36:52 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 15:36:52 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 15:36:56 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 15:36:56 2019 FIT: data read from 'compile_spin_data.dat' u ($28*100):(ff($28))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 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 1.5125011428e+05 0.00e+00 7.85e+01 3.533510e+02 3.818235e-01 4543 1.3016594565e-06 -5.33e-01 7.85e-04 7.134710e+02 3.339389e-02 After 4543 iterations the fit converged. final sum of squares of residuals : 1.30166e-06 rel. change during last iteration : -5.33179e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000153839 variance of residuals (reduced chisquare) = WSSR/ndf : 2.36665e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 713.471 +/- 96.46 (13.52%) b3 = 0.0333939 +/- 0.002257 (6.76%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 15:38:18 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Wed Apr 10 15:38:18 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 10 15:38:21 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Wed Apr 10 15:38:21 2019 FIT: data read from 'compile_spin_data.dat' u ($28*100):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 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 1.5636504062e+05 0.00e+00 7.85e+01 3.533510e+02 3.818235e-01 22 5.8567496860e-27 0.00e+00 7.85e-09 1.556459e+02 7.147923e-05 After 22 iterations the fit converged. final sum of squares of residuals : 5.85675e-27 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.03192e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 1.06486e-28 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 155.646 +/- 0.0311 (0.01998%) b3 = 7.14792e-05 +/- 7.138e-09 (0.009986%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 15:44:51 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z ******************************************************************************* Thu Apr 11 15:45:42 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z ******************************************************************************* Thu Apr 11 15:45:52 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z #datapoints = 57 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 3.5340294089e+01 0.00e+00 2.63e-02 1.000000e+00 1.000000e+00 2896 2.1235500567e-05 -9.47e-01 2.63e-05 1.547221e+02 5.565532e-01 After 2896 iterations the fit converged. final sum of squares of residuals : 2.12355e-05 rel. change during last iteration : -9.47018e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000621369 variance of residuals (reduced chisquare) = WSSR/ndf : 3.861e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 154.722 +/- 21.04 (13.6%) b3 = 0.556553 +/- 0.03791 (6.812%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 15:47:01 2019 FIT: data read from 'compile_spin_data.dat' u ($28*100):(ff($28/1000.))*1.e6 format = x:z #datapoints = 57 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 1.1659785858e+05 0.00e+00 6.37e+01 1.547221e+02 5.565532e-01 4062 1.9001231459e-17 -7.08e-02 6.37e-08 1.664312e-04 6.707309e-02 After 4062 iterations the fit converged. final sum of squares of residuals : 1.90012e-17 rel. change during last iteration : -7.07875e-07 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.87773e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 3.45477e-19 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.000166431 +/- 2.263e-05 (13.6%) b3 = 0.0670731 +/- 0.004567 (6.808%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 15:48:46 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 15:48:46 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 15:48:50 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 15:48:50 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 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 4.7893768110e+06 0.00e+00 7.12e+02 3.533510e+02 3.818235e-01 5 2.4440250054e-11 -4.74e-05 7.12e-03 6.873776e-07 3.811502e-01 After 5 iterations the fit converged. final sum of squares of residuals : 2.44403e-11 rel. change during last iteration : -4.73733e-10 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.66609e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.44368e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 6.87378e-07 +/- 1.079e-07 (15.7%) b3 = 0.38115 +/- 0.01804 (4.733%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.063 1.000 ******************************************************************************* Thu Apr 11 16:03:56 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.4455352148e-07 0.00e+00 8.85e-05 1.664312e-04 6.707309e-02 4906 3.2275318113e-18 -2.74e-01 8.85e-10 4.010547e-04 4.318375e-03 After 4906 iterations the fit converged. final sum of squares of residuals : 3.22753e-18 rel. change during last iteration : -2.73663e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42244e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 5.86824e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.000401055 +/- 5.43e-05 (13.54%) b3 = 0.00431837 +/- 0.0002925 (6.773%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:05:20 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:05:20 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:05:23 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:05:23 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 4.7893768110e+06 0.00e+00 7.12e+02 3.533510e+02 3.818235e-01 5 2.4440250054e-11 -4.74e-05 7.12e-03 6.873776e-07 3.811502e-01 After 5 iterations the fit converged. final sum of squares of residuals : 2.44403e-11 rel. change during last iteration : -4.73733e-10 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.66609e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.44368e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 6.87378e-07 +/- 1.079e-07 (15.7%) b3 = 0.38115 +/- 0.01804 (4.733%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.063 1.000 ******************************************************************************* Thu Apr 11 16:06:22 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:06:22 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:06:26 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:06:26 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.1091465417e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 5 2.8478831022e-11 -5.66e-05 5.88e-03 5.888849e-07 4.745788e-01 After 5 iterations the fit converged. final sum of squares of residuals : 2.84788e-11 rel. change during last iteration : -5.66033e-10 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19581e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.17797e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 5.88885e-07 +/- 1.131e-07 (19.2%) b3 = 0.474579 +/- 0.02169 (4.57%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.048 1.000 ******************************************************************************* Thu Apr 11 16:07:24 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z #datapoints = 57 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 3.2275318113e-18 0.00e+00 1.28e-06 4.010547e-04 4.318375e-03 2768 1.8856777546e-18 -2.90e-01 1.28e-09 5.239904e-04 3.777630e-03 After 2768 iterations the fit converged. final sum of squares of residuals : 1.88568e-18 rel. change during last iteration : -2.89603e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.85162e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 3.42851e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.00052399 +/- 7.089e-05 (13.53%) b3 = 0.00377763 +/- 0.0002556 (6.765%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:07:41 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:07:41 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:07:46 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:07:46 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.1091465417e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 5 2.8478831022e-11 -5.66e-05 5.88e-03 5.888849e-07 4.745788e-01 After 5 iterations the fit converged. final sum of squares of residuals : 2.84788e-11 rel. change during last iteration : -5.66033e-10 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19581e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.17797e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 5.88885e-07 +/- 1.131e-07 (19.2%) b3 = 0.474579 +/- 0.02169 (4.57%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.048 1.000 ******************************************************************************* Thu Apr 11 16:08:45 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 = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:08:45 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:08:49 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:08:49 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.1091465417e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 5 2.8478831022e-11 -5.66e-05 5.88e-03 5.888849e-07 4.745788e-01 After 5 iterations the fit converged. final sum of squares of residuals : 2.84788e-11 rel. change during last iteration : -5.66033e-10 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19581e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.17797e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 5.88885e-07 +/- 1.131e-07 (19.2%) b3 = 0.474579 +/- 0.02169 (4.57%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.048 1.000 ******************************************************************************* Thu Apr 11 16:09:01 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z #datapoints = 57 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 1.8856777546e-18 0.00e+00 1.28e-06 5.239904e-04 3.777630e-03 1964 1.4115975062e-18 -3.53e-01 1.28e-09 6.052458e-04 3.514772e-03 After 1964 iterations the fit converged. final sum of squares of residuals : 1.4116e-18 rel. change during last iteration : -3.528e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.60204e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 2.56654e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.000605246 +/- 8.185e-05 (13.52%) b3 = 0.00351477 +/- 0.0002377 (6.762%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:09:49 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Apr 11 16:09:52 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Apr 11 16:10:11 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f) format = x:z x range restricted to [-35.0000 : 35.0000] ******************************************************************************* Thu Apr 11 16:10:11 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Apr 11 16:11:06 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 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 1.4115975062e-18 0.00e+00 1.28e-06 6.052458e-04 3.514772e-03 1168 1.2133293675e-18 -3.01e-01 1.28e-09 6.526312e-04 3.384704e-03 After 1168 iterations the fit converged. final sum of squares of residuals : 1.21333e-18 rel. change during last iteration : -3.01465e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.48528e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 2.20605e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.000652631 +/- 8.824e-05 (13.52%) b3 = 0.0033847 +/- 0.0002288 (6.76%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:12:12 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 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 1.2133293675e-18 0.00e+00 1.28e-06 6.526312e-04 3.384704e-03 608 1.1228502429e-18 -4.67e-01 1.28e-09 6.783157e-04 3.319973e-03 After 608 iterations the fit converged. final sum of squares of residuals : 1.12285e-18 rel. change during last iteration : -4.66855e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.42883e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 2.04155e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.000678316 +/- 9.17e-05 (13.52%) b3 = 0.00331997 +/- 0.0002244 (6.759%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:12:19 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 1.1228502429e-18 0.00e+00 1.28e-06 6.783157e-04 3.319973e-03 274 1.0798170660e-18 -1.12e-01 1.28e-09 6.916512e-04 3.287797e-03 After 274 iterations the fit converged. final sum of squares of residuals : 1.07982e-18 rel. change during last iteration : -1.1152e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.40118e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 1.9633e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.000691651 +/- 9.35e-05 (13.52%) b3 = 0.0032878 +/- 0.0002222 (6.759%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:13:05 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:13:05 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:13:09 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:13:09 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28/1000.))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.1091465417e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 5 2.8478831022e-11 -5.66e-05 5.88e-03 5.888849e-07 4.745788e-01 After 5 iterations the fit converged. final sum of squares of residuals : 2.84788e-11 rel. change during last iteration : -5.66033e-10 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19581e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.17797e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 5.88885e-07 +/- 1.131e-07 (19.2%) b3 = 0.474579 +/- 0.02169 (4.57%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.048 1.000 ******************************************************************************* Thu Apr 11 16:16:21 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:16:21 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:16:25 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:16:25 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.0982998792e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 8 2.4307138287e+01 -8.86e-01 5.88e-06 6.868444e-01 3.905463e-01 After 8 iterations the fit converged. final sum of squares of residuals : 24.3071 rel. change during last iteration : -8.86384e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.664792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.441948 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.686844 +/- 0.107 (15.58%) b3 = 0.390546 +/- 0.01749 (4.479%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.042 1.000 ******************************************************************************* Thu Apr 11 16:20:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:20:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:20:08 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:20:08 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.0982998792e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 8 2.4307138287e+01 -8.86e-01 5.88e-06 6.868444e-01 3.905463e-01 After 8 iterations the fit converged. final sum of squares of residuals : 24.3071 rel. change during last iteration : -8.86384e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.664792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.441948 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.686844 +/- 0.107 (15.58%) b3 = 0.390546 +/- 0.01749 (4.479%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.042 1.000 ******************************************************************************* Thu Apr 11 16:20:44 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:20:44 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:20:48 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:20:48 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.0982998792e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 8 2.4307138287e+01 -8.86e-01 5.88e-06 6.868444e-01 3.905463e-01 After 8 iterations the fit converged. final sum of squares of residuals : 24.3071 rel. change during last iteration : -8.86384e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.664792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.441948 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.686844 +/- 0.107 (15.58%) b3 = 0.390546 +/- 0.01749 (4.479%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.042 1.000 ******************************************************************************* Thu Apr 11 16:22:41 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:22:41 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:22:45 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:22:45 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.0982998792e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 8 2.4307138287e+01 -8.86e-01 5.88e-06 6.868444e-01 3.905463e-01 After 8 iterations the fit converged. final sum of squares of residuals : 24.3071 rel. change during last iteration : -8.86384e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.664792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.441948 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.686844 +/- 0.107 (15.58%) b3 = 0.390546 +/- 0.01749 (4.479%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.042 1.000 ******************************************************************************* Thu Apr 11 16:24:41 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:24:41 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:24:45 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:24:45 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.0982998792e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 8 2.4307138287e+01 -8.86e-01 5.88e-06 6.868444e-01 3.905463e-01 After 8 iterations the fit converged. final sum of squares of residuals : 24.3071 rel. change during last iteration : -8.86384e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.664792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.441948 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.686844 +/- 0.107 (15.58%) b3 = 0.390546 +/- 0.01749 (4.479%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.042 1.000 ******************************************************************************* Thu Apr 11 16:25:31 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 56 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 6.2950710937e+01 0.00e+00 1.40e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0084173876e-03 -8.84e-09 1.40e-09 5.181563e+00 -2.450170e-02 -9.987868e-01 -2.745798e-01 -1.129448e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00100842 rel. change during last iteration : -8.83775e-14 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00444667 variance of residuals (reduced chisquare) = WSSR/ndf : 1.97729e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.18156 +/- 0.09256 (1.786%) b = -0.0245017 +/- 0.0194 (79.16%) c = -0.998787 +/- 0.0007097 (0.07106%) d = -0.27458 +/- 0.4951 (180.3%) e = -112.945 +/- 1.798 (1.592%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.611 1.000 c -0.362 0.055 1.000 d 0.553 -0.902 -0.043 1.000 e -0.850 0.766 0.180 -0.863 1.000 ******************************************************************************* Thu Apr 11 16:25:31 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 = 56 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9392368853e-05 0.00e+00 1.21e+00 2.279070e+02 4.753540e-01 3051 2.5909564070e-06 -9.25e-03 1.21e-03 3.533510e+02 3.818235e-01 After 3051 iterations the fit converged. final sum of squares of residuals : 2.59096e-06 rel. change during last iteration : -9.24534e-08 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219045 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79807e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 353.351 +/- 48.27 (13.66%) b3 = 0.381824 +/- 0.02609 (6.834%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Thu Apr 11 16:25:35 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.7223286712e+11 0.00e+00 5.62e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.4641081171e-04 -4.82e-03 5.62e-04 -7.577370e-04 -1.008812e-04 -9.993977e-01 -7.956254e-07 -1.169487e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.000246411 rel. change during last iteration : -4.8174e-08 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00217685 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73867e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000757737 +/- 5.833e-06 (0.7698%) bk = -0.000100881 +/- 0.0001162 (115.2%) ck = -0.999398 +/- 0.000345 (0.03452%) dk = -7.95625e-07 +/- 4.53e-07 (56.94%) ek = -1.16949e-06 +/- 1.737e-08 (1.485%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.620 1.000 ck -0.358 0.033 1.000 dk 0.512 -0.899 -0.013 1.000 ek -0.779 0.818 0.136 -0.904 1.000 ******************************************************************************* Thu Apr 11 16:25:35 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 57 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.0982998792e+06 0.00e+00 5.88e+02 2.279070e+02 4.753540e-01 8 2.4307138287e+01 -8.86e-01 5.88e-06 6.868444e-01 3.905463e-01 After 8 iterations the fit converged. final sum of squares of residuals : 24.3071 rel. change during last iteration : -8.86384e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.664792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.441948 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.686844 +/- 0.107 (15.58%) b3 = 0.390546 +/- 0.01749 (4.479%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.042 1.000 ******************************************************************************* Wed Apr 24 14:56:48 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 14:56:48 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 = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 14:56:52 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 14:56:52 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.3265565838e+06 0.00e+00 6.16e+02 2.279070e+02 4.753540e-01 4 2.9989778063e+01 0.00e+00 6.16e+05 5.791088e-01 4.741708e-01 After 4 iterations the fit converged. final sum of squares of residuals : 29.9898 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.712953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.508301 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 0.579109 +/- 0.1067 (18.42%) b3 = 0.474171 +/- 0.0202 (4.26%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.076 1.000 ******************************************************************************* Wed Apr 24 15:11:25 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:11:25 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:11:29 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:11:29 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(ff($28*1000))*1.e6 format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: nn(x) nn(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 4.5050265065e+13 0.00e+00 6.16e+02 2.279070e+02 4.753540e-01 8 2.7721228650e+13 -7.05e-11 6.16e+10 5.823739e+05 5.444666e+00 After 8 iterations the fit converged. final sum of squares of residuals : 2.77212e+13 rel. change during last iteration : -7.04559e-16 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 685457 variance of residuals (reduced chisquare) = WSSR/ndf : 4.69851e+11 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 582374 +/- 1.017e+05 (17.47%) b3 = 5.44467 +/- 0.0234 (0.4297%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -0.336 1.000 ******************************************************************************* Wed Apr 24 15:13:22 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:13:22 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:13:27 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:14:08 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:14:08 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:14:12 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:26:39 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:26:39 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 = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:26:43 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:28:13 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:28:13 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 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:28:17 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:31:15 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:31:15 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:31:19 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:33:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:33:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:33:30 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:35:17 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:35:17 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:35:20 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:47:22 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:47:22 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:47:26 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8180639013e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2293626248e-01 -3.70e-06 5.46e-04 -7.156543e-04 -7.775361e-03 -1.006706e+00 2.253086e-05 -1.644858e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.222936 rel. change during last iteration : -3.69725e-11 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0630952 variance of residuals (reduced chisquare) = WSSR/ndf : 0.003981 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.000715654 +/- 0.0001609 (22.48%) bk = -0.00777536 +/- 0.003189 (41.02%) ck = -1.00671 +/- 0.009924 (0.9858%) dk = 2.25309e-05 +/- 1.247e-05 (55.35%) ek = -1.64486e-06 +/- 4.924e-07 (29.94%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:52:15 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) -ax2 +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values ******************************************************************************* Wed Apr 24 15:52:42 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) -ak2 +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 9.8179696143e+11 0.00e+00 5.46e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 2.2111242823e-01 -9.31e-07 5.46e-04 7.697484e-04 -7.685437e-03 -6.397371e-03 2.206630e-05 -2.250996e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.221112 rel. change during last iteration : -9.30946e-12 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0628366 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00394844 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.000769748 +/- 0.0001602 (20.82%) bk = -0.00768544 +/- 0.003176 (41.33%) ck = -0.00639737 +/- 0.009883 (154.5%) dk = 2.20663e-05 +/- 1.242e-05 (56.29%) ek = -2.251e-06 +/- 4.904e-07 (21.78%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 15:53:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:53:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:53:38 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x)-ak2 +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak ak2 bk ck dk ek 0 9.8179696143e+11 0.00e+00 4.98e+04 1.000000e+00 1.500000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 10 2.0770680377e-01 -2.02e-06 4.98e-06 2.332491e-02 9.092273e+00 -6.319971e-03 -1.717042e-03 1.501208e-05 -1.145492e-05 After 10 iterations the fit converged. final sum of squares of residuals : 0.207707 rel. change during last iteration : -2.02048e-11 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0614531 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00377649 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.0233249 +/- 0.01197 (51.33%) ak2 = 9.09227 +/- 4.03 (44.32%) bk = -0.00631997 +/- 0.00319 (50.47%) ck = -0.00171704 +/- 0.00998 (581.2%) dk = 1.50121e-05 +/- 1.271e-05 (84.67%) ek = -1.14549e-05 +/- 4.909e-06 (42.85%) correlation matrix of the fit parameters: ak ak2 bk ck dk ek ak 1.000 ak2 1.000 1.000 bk 0.219 0.227 1.000 ck 0.244 0.249 0.053 1.000 dk -0.287 -0.295 -0.925 -0.061 1.000 ek -0.996 -0.995 -0.147 -0.236 0.208 1.000 ******************************************************************************* Wed Apr 24 15:54:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:54:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:54:38 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x)-ak2 +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak ak2 bk ck dk ek 0 9.8179696143e+11 0.00e+00 4.98e+04 1.000000e+00 1.500000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 10 2.0770680377e-01 -2.02e-06 4.98e-06 2.332491e-02 9.092273e+00 -6.319971e-03 -1.717042e-03 1.501208e-05 -1.145492e-05 After 10 iterations the fit converged. final sum of squares of residuals : 0.207707 rel. change during last iteration : -2.02048e-11 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0614531 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00377649 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.0233249 +/- 0.01197 (51.33%) ak2 = 9.09227 +/- 4.03 (44.32%) bk = -0.00631997 +/- 0.00319 (50.47%) ck = -0.00171704 +/- 0.00998 (581.2%) dk = 1.50121e-05 +/- 1.271e-05 (84.67%) ek = -1.14549e-05 +/- 4.909e-06 (42.85%) correlation matrix of the fit parameters: ak ak2 bk ck dk ek ak 1.000 ak2 1.000 1.000 bk 0.219 0.227 1.000 ck 0.244 0.249 0.053 1.000 dk -0.287 -0.295 -0.925 -0.061 1.000 ek -0.996 -0.995 -0.147 -0.236 0.208 1.000 ******************************************************************************* Wed Apr 24 15:59:38 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 15:59:38 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 15:59:43 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x)-ak2 +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak ak2 bk ck dk ek 0 9.7613982741e+11 0.00e+00 7.92e+04 1.000000e+00 1.500000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 3.0821031137e-06 -2.47e-10 7.92e+00 -3.926985e-03 -6.670560e-02 -2.175168e-04 6.020079e-05 -2.455299e-08 1.276860e-07 After 11 iterations the fit converged. final sum of squares of residuals : 3.0821e-06 rel. change during last iteration : -2.47341e-15 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000413797 variance of residuals (reduced chisquare) = WSSR/ndf : 1.71228e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.00392698 +/- 0.0001032 (2.628%) ak2 = -0.0667056 +/- 0.03496 (52.41%) bk = -0.000217517 +/- 2.269e-05 (10.43%) ck = 6.02008e-05 +/- 0.0002165 (359.6%) dk = -2.4553e-08 +/- 8.936e-08 (364%) ek = 1.27686e-07 +/- 4.186e-08 (32.78%) correlation matrix of the fit parameters: ak ak2 bk ck dk ek ak 1.000 ak2 1.000 1.000 bk 0.217 0.224 1.000 ck 0.604 0.612 0.202 1.000 dk -0.308 -0.315 -0.927 -0.230 1.000 ek -0.997 -0.997 -0.158 -0.587 0.245 1.000 ******************************************************************************* Wed Apr 24 16:02:34 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):($11/$13*$8*f0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x) -ak2 +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak bk ck dk ek 0 2.2111242823e-01 0.00e+00 1.56e-01 7.697484e-04 -7.685437e-03 -6.397371e-03 2.206630e-05 -2.250996e-06 1 2.2111242823e-01 0.00e+00 1.56e-02 7.697484e-04 -7.685437e-03 -6.397371e-03 2.206630e-05 -2.250996e-06 After 1 iterations the fit converged. final sum of squares of residuals : 0.221112 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0628366 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00394844 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = 0.000769748 +/- 0.0001602 (20.82%) bk = -0.00768544 +/- 0.003176 (41.33%) ck = -0.00639737 +/- 0.009883 (154.5%) dk = 2.20663e-05 +/- 1.242e-05 (56.29%) ek = -2.251e-06 +/- 4.904e-07 (21.78%) correlation matrix of the fit parameters: ak bk ck dk ek ak 1.000 bk -0.649 1.000 ck -0.357 -0.004 1.000 dk 0.591 -0.922 0.013 1.000 ek -0.826 0.835 0.120 -0.912 1.000 ******************************************************************************* Wed Apr 24 16:17:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 16:17:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 16:17:34 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak2*cos(bk2*x)-ak2 +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak ak2 bk ck dk ek 0 9.7613982741e+11 0.00e+00 7.92e+04 1.000000e+00 1.500000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 3.0821031137e-06 -2.47e-10 7.92e+00 -3.926985e-03 -6.670560e-02 -2.175168e-04 6.020079e-05 -2.455299e-08 1.276860e-07 After 11 iterations the fit converged. final sum of squares of residuals : 3.0821e-06 rel. change during last iteration : -2.47341e-15 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000413797 variance of residuals (reduced chisquare) = WSSR/ndf : 1.71228e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.00392698 +/- 0.0001032 (2.628%) ak2 = -0.0667056 +/- 0.03496 (52.41%) bk = -0.000217517 +/- 2.269e-05 (10.43%) ck = 6.02008e-05 +/- 0.0002165 (359.6%) dk = -2.4553e-08 +/- 8.936e-08 (364%) ek = 1.27686e-07 +/- 4.186e-08 (32.78%) correlation matrix of the fit parameters: ak ak2 bk ck dk ek ak 1.000 ak2 1.000 1.000 bk 0.217 0.224 1.000 ck 0.604 0.612 0.202 1.000 dk -0.308 -0.315 -0.927 -0.230 1.000 ek -0.997 -0.997 -0.158 -0.587 0.245 1.000 ******************************************************************************* Wed Apr 24 16:20:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 16:20:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 16:20:34 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = ak*x**2+bk*x+ck + ak3*cos(bk3*x)-ak3 +dk*x**3 +ek*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda ak ak3 bk ck dk ek 0 9.7613982741e+11 0.00e+00 7.92e+04 1.000000e+00 1.500000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 11 3.0821031137e-06 -2.47e-10 7.92e+00 -3.926985e-03 -6.670560e-02 -2.175168e-04 6.020079e-05 -2.455299e-08 1.276860e-07 After 11 iterations the fit converged. final sum of squares of residuals : 3.0821e-06 rel. change during last iteration : -2.47341e-15 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000413797 variance of residuals (reduced chisquare) = WSSR/ndf : 1.71228e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== ak = -0.00392698 +/- 0.0001032 (2.628%) ak3 = -0.0667056 +/- 0.03496 (52.41%) bk = -0.000217517 +/- 2.269e-05 (10.43%) ck = 6.02008e-05 +/- 0.0002165 (359.6%) dk = -2.4553e-08 +/- 8.936e-08 (364%) ek = 1.27686e-07 +/- 4.186e-08 (32.78%) correlation matrix of the fit parameters: ak ak3 bk ck dk ek ak 1.000 ak3 1.000 1.000 bk 0.217 0.224 1.000 ck 0.604 0.612 0.202 1.000 dk -0.308 -0.315 -0.927 -0.230 1.000 ek -0.997 -0.997 -0.158 -0.587 0.245 1.000 ******************************************************************************* Wed Apr 24 16:34:14 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 16:34:14 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 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 16:34:18 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 s5 amp wave_number 0 9.3910624154e+13 0.00e+00 6.38e+05 1.000000e+00 -2.500000e+01 1.000000e+00 2.279070e+02 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Apr 24 16:35:01 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 16:35:01 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 367.154 +/- 48.41 (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 ******************************************************************************* Wed Apr 24 16:35:05 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 9.3910624154e+13 0.00e+00 6.82e+05 1.000000e+00 -2.500000e+01 1.000000e+00 2.279070e+02 1.000000e+00 1.500000e+00 7.800000e-02 1099 3.7362687068e-06 -1.00e+00 6.82e-03 3.190929e-04 -2.075765e-04 -3.307353e-03 -7.952099e-08 2.704570e-08 1.380216e+00 2.475456e-02 After 1099 iterations the fit converged. final sum of squares of residuals : 3.73627e-06 rel. change during last iteration : -9.99581e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000468808 variance of residuals (reduced chisquare) = WSSR/ndf : 2.19781e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.000319093 +/- 0.0002968 (93.02%) a1 = -0.000207577 +/- 2.6e-05 (12.52%) a2 = -0.00330735 +/- 8.678 (2.624e+05%) a3 = -7.9521e-08 +/- 1.026e-07 (129%) a4 = 2.70457e-08 +/- 0.0002199 (8.132e+05%) amp = 1.38022 +/- 4.256e+04 (3.084e+06%) wave_number = 0.0247546 +/- 127.6 (5.156e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.082 1.000 a2 -0.574 0.143 1.000 a3 -0.097 -0.929 -0.154 1.000 a4 0.573 -0.143 -1.000 0.154 1.000 amp -0.574 0.143 1.000 -0.153 -1.000 1.000 wave_number 0.574 -0.143 -1.000 0.153 1.000 -1.000 1.000 ******************************************************************************* Wed Apr 24 17:11:54 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 + aa2*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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 17:11:54 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 3.6430630305e+01 0.00e+00 5.42e-03 1.000000e+00 4.753540e-01 5631 2.8111794699e-06 -1.10e-01 5.42e-06 3.736356e+02 3.712982e-01 After 5631 iterations the fit converged. final sum of squares of residuals : 2.81118e-06 rel. change during last iteration : -1.1007e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000220156 variance of residuals (reduced chisquare) = WSSR/ndf : 4.84686e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 373.636 +/- 49.26 (13.18%) b3 = 0.371298 +/- 0.02448 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 24 17:12:01 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 9.3946256648e+13 0.00e+00 6.82e+05 1.000000e+00 1.000000e+00 1.000000e+00 2.279070e+02 1.000000e+00 1.500000e+00 7.800000e-02 1099 3.7362692711e-06 -1.00e+00 6.82e-03 3.190931e-04 -2.075765e-04 -3.307356e-03 -7.952102e-08 2.704559e-08 1.380188e+00 2.475472e-02 After 1099 iterations the fit converged. final sum of squares of residuals : 3.73627e-06 rel. change during last iteration : -9.99605e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000468808 variance of residuals (reduced chisquare) = WSSR/ndf : 2.19781e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.000319093 +/- 0.0002968 (93.02%) a1 = -0.000207577 +/- 2.6e-05 (12.52%) a2 = -0.00330736 +/- 8.678 (2.624e+05%) a3 = -7.9521e-08 +/- 1.026e-07 (129%) a4 = 2.70456e-08 +/- 0.0002199 (8.132e+05%) amp = 1.38019 +/- 4.256e+04 (3.084e+06%) wave_number = 0.0247547 +/- 127.6 (5.156e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.082 1.000 a2 -0.574 0.143 1.000 a3 -0.097 -0.929 -0.154 1.000 a4 0.573 -0.143 -1.000 0.154 1.000 amp -0.574 0.143 1.000 -0.153 -1.000 1.000 wave_number 0.574 -0.143 -1.000 0.153 1.000 -1.000 1.000 ******************************************************************************* Wed Apr 24 17:12:54 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) 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 + aa2*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 6.7018050352e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.1444050418e-03 -2.92e-09 1.43e-09 5.266182e+00 -4.140901e-02 -9.987832e-01 -2.689922e-02 -1.141005e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00114441 rel. change during last iteration : -2.91797e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00456151 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08074e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.26618 +/- 0.08593 (1.632%) b = -0.041409 +/- 0.01782 (43.04%) c = -0.998783 +/- 0.0007275 (0.07284%) d = -0.0268992 +/- 0.432 (1606%) e = -114.101 +/- 1.652 (1.448%) 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 ******************************************************************************* Wed Apr 24 17:12:54 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) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 367.154 +/- 48.41 (13.18%) b3 = 0.374564 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Apr 24 17:12:58 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 9.7613982741e+11 0.00e+00 7.34e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 1189 3.7390266098e-06 -9.99e-01 7.34e-03 3.196289e-04 -2.075552e-04 -3.295084e-03 -7.963866e-08 2.583130e-08 1.380840e+00 2.510575e-02 After 1189 iterations the fit converged. final sum of squares of residuals : 3.73903e-06 rel. change during last iteration : -9.98536e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000468981 variance of residuals (reduced chisquare) = WSSR/ndf : 2.19943e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.000319629 +/- 0.0002969 (92.9%) a1 = -0.000207555 +/- 2.601e-05 (12.53%) a2 = -0.00329508 +/- 7.978 (2.421e+05%) a3 = -7.96387e-08 +/- 1.026e-07 (128.8%) a4 = 2.58313e-08 +/- 0.0002079 (8.049e+05%) amp = 1.38084 +/- 3.805e+04 (2.755e+06%) wave_number = 0.0251058 +/- 115.7 (4.608e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.082 1.000 a2 -0.574 0.143 1.000 a3 -0.097 -0.929 -0.154 1.000 a4 0.573 -0.143 -1.000 0.154 1.000 amp -0.574 0.143 1.000 -0.153 -1.000 1.000 wave_number 0.574 -0.143 -1.000 0.153 1.000 -1.000 1.000 ******************************************************************************* Thu Apr 25 06:58:30 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 1.3991585139e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 5.9522621115e-05 -1.04e-01 1.01e-04 5.421384e-04 -5.841841e-05 -8.173406e-03 2.519642e-08 After 7 iterations the fit converged. final sum of squares of residuals : 5.95226e-05 rel. change during last iteration : -1.04229e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00140858 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98409e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000542138 +/- 5.105e-07 (0.09416%) b = -5.84184e-05 +/- 3.098e-05 (53.03%) c = -0.00817341 +/- 0.0002903 (3.551%) d = 2.51964e-08 +/- 2.714e-08 (107.7%) 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 ******************************************************************************* Thu Apr 25 06:58:31 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 6.3637797852e-06 0.00e+00 2.46e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.46e-06 5.792392e-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 = 0.000579239 ******************************************************************************* Thu Apr 25 08:20:54 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) = -b2*x**2 +b1*x +b0 + b3*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b1 b2 b3 0 1.3991585139e+08 0.00e+00 1.01e+03 1.000000e-01 1.000000e-01 5.800000e-03 1.000000e-01 7 5.9522621115e-05 -1.04e-01 1.01e-04 -8.173406e-03 -5.841841e-05 5.421384e-04 2.519642e-08 After 7 iterations the fit converged. final sum of squares of residuals : 5.95226e-05 rel. change during last iteration : -1.04229e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00140858 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98409e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00817341 +/- 0.0002903 (3.551%) b1 = -5.84184e-05 +/- 3.098e-05 (53.03%) b2 = 0.000542138 +/- 5.105e-07 (0.09416%) b3 = 2.51964e-08 +/- 2.714e-08 (107.7%) correlation matrix of the fit parameters: b0 b1 b2 b3 b0 1.000 b1 -0.000 1.000 b2 0.554 -0.000 1.000 b3 0.000 -0.898 0.000 1.000 ******************************************************************************* Thu Apr 25 08:24:42 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) = -b2*x**2 +b1*x +b0 + b3*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b1 b2 b3 0 1.3991585139e+08 0.00e+00 1.01e+03 1.000000e-01 1.000000e-01 5.800000e-03 1.000000e-01 7 5.9522621115e-05 -1.04e-01 1.01e-04 -8.173406e-03 -5.841841e-05 5.421384e-04 2.519642e-08 After 7 iterations the fit converged. final sum of squares of residuals : 5.95226e-05 rel. change during last iteration : -1.04229e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00140858 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98409e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00817341 +/- 0.0002903 (3.551%) b1 = -5.84184e-05 +/- 3.098e-05 (53.03%) b2 = 0.000542138 +/- 5.105e-07 (0.09416%) b3 = 2.51964e-08 +/- 2.714e-08 (107.7%) correlation matrix of the fit parameters: b0 b1 b2 b3 b0 1.000 b1 -0.000 1.000 b2 0.554 -0.000 1.000 b3 0.000 -0.898 0.000 1.000 ******************************************************************************* Thu Apr 25 08:24:43 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 = 61 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 6.3637797852e-06 0.00e+00 2.46e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.46e-06 5.792392e-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 ======================= a2 = 0.000579239