*******************************************************************************
Sun Mar 31 18:25:05 2019


FIT:    data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f)
        format = x:z
        x range restricted to [-0.350000 : 0.350000]
        #datapoints = 61
        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 6.8921709826e+01   0.00e+00  1.45e-02    1.000000e+00   1.000000e-02   1.000000e-02   1.000000e-02   1.000000e-02
   7 1.0899302818e-03  -3.50e-09  1.45e-09    4.526362e+00  -1.884367e-02  -9.987706e-01   3.477741e+00  -1.160925e+02

After 7 iterations the fit converged.
final sum of squares of residuals : 0.00108993
rel. change during last iteration : -3.5015e-14

degrees of freedom    (FIT_NDF)                        : 56
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00441169
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.9463e-05

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 4.52636          +/- 0.08294      (1.832%)
b               = -0.0188437       +/- 0.01696      (90.01%)
c               = -0.998771        +/- 0.0007036    (0.07044%)
d               = 3.47774          +/- 0.3977       (11.44%)
e               = -116.093         +/- 1.553        (1.338%)

correlation matrix of the fit parameters:
                a      b      c      d      e      
a               1.000 
b              -0.557  1.000 
c              -0.397  0.071  1.000 
d               0.634 -0.946 -0.076  1.000 
e              -0.925  0.715  0.220 -0.828  1.000 


*******************************************************************************
Sun Mar 31 18:25:05 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 = 61
        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 8.2603634573e-06   0.00e+00  1.25e+00    2.279070e+02   4.753540e-01
3162 2.9816772650e-06  -8.18e-01  1.25e-03    3.679300e+02   3.740005e-01

After 3162 iterations the fit converged.
final sum of squares of residuals : 2.98168e-06
rel. change during last iteration : -8.18278e-06

degrees of freedom    (FIT_NDF)                        : 59
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000224804
variance of residuals (reduced chisquare) = WSSR/ndf   : 5.05369e-08

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a3              = 367.93           +/- 48.09        (13.07%)
b3              = 0.374001         +/- 0.02445      (6.538%)

correlation matrix of the fit parameters:
                a3     b3     
a3              1.000 
b3             -1.000  1.000 


*******************************************************************************
Sun Mar 31 18:25:17 2019


FIT:    data read from 'compile_spin_data.dat' u  ($4*1000):(($9-zero)/zero*1.e6  > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0)
        format = x:z
        #datapoints = 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 1.3991584737e+08   0.00e+00  1.01e+03    5.800000e-03   1.000000e-01   1.000000e-01   1.000000e-01
   7 1.8404666633e-04  -3.18e-02  1.01e-04    5.609914e-04   2.189894e-05  -5.053770e-03  -3.723430e-08

After 7 iterations the fit converged.
final sum of squares of residuals : 0.000184047
rel. change during last iteration : -3.18156e-07

degrees of freedom    (FIT_NDF)                        : 30
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00247687
variance of residuals (reduced chisquare) = WSSR/ndf   : 6.13489e-06

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.000560991      +/- 8.976e-07    (0.16%)
b               = 2.18989e-05      +/- 5.448e-05    (248.8%)
c               = -0.00505377      +/- 0.0005104    (10.1%)
d               = -3.72343e-08     +/- 4.772e-08    (128.2%)

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 


*******************************************************************************
Sun Mar 31 18:25:18 2019


FIT:    data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0)
        format = x:z
        #datapoints = 60
        residuals are weighted equally (unit weight)

function used for fitting: h(x)
	h(x) = -a1*x**2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a1           
   0 3.5797279059e-05   0.00e+00  2.48e-01    5.800000e-04
   5 3.0911175607e-32   0.00e+00  2.48e-06    5.818044e-04

After 5 iterations the fit converged.
final sum of squares of residuals : 3.09112e-32
abs. change during last iteration : 0


Hmmmm.... Sum of squared residuals is zero. Can't compute errors.

Final set of parameters 
======================= 

a1              = 0.000581804