*******************************************************************************
Fri Nov 11 19:46:35 2022


FIT:    data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror
        format = x:z:s

Current data point
=========================
#               = 1 out of 53
x               = -0.00216       
z               = 0.1            
s               = 0              

BREAK: Zero error value in data file

*******************************************************************************
Fri Nov 11 19:47:20 2022


FIT:    data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror
        format = x:z:s

Current data point
=========================
#               = 1 out of 52
x               = -0.00204       
z               = 0.1            
s               = 0              

BREAK: Zero error value in data file

*******************************************************************************
Fri Nov 11 19:48:09 2022


FIT:    data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror
        format = x:z:s
        #datapoints = 51
function used for fitting: f(x)
	f(x) = offset + slope*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   slope         offset       
   0 1.5194919124e+08   0.00e+00  1.31e+03    1.000000e+00   1.000000e+00
   5 5.9283342630e+03  -2.73e-01  1.31e-02   -1.898261e+00   6.730592e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 5928.33
rel. change during last iteration : -2.72983e-06

degrees of freedom    (FIT_NDF)                        : 49
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 10.9994
variance of residuals (reduced chisquare) = WSSR/ndf   : 120.986
p-value of the Chisq distribution (FIT_P)              : 0

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
slope           = -1.89826         +/- 0.7042       (37.1%)
offset          = 0.0673059        +/- 0.001013     (1.505%)

correlation matrix of the fit parameters:
                slope  offset 
slope           1.000 
offset         -0.567  1.000 


*******************************************************************************
Fri Nov 11 19:48:09 2022


FIT:    data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($4*1.e6*ttp) yerror
        format = x:z:s
        #datapoints = 51
function used for fitting: f(x)
	f(x) = offset + slope*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   slope         offset       
   0 7.5934124368e+04   0.00e+00  6.11e+01   -1.898261e+00   6.730592e-02
   4 5.9283342630e+03  -5.88e-06  6.11e-03   -2.731528e+00   9.685072e-02

After 4 iterations the fit converged.
final sum of squares of residuals : 5928.33
rel. change during last iteration : -5.87889e-11

degrees of freedom    (FIT_NDF)                        : 49
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 10.9994
variance of residuals (reduced chisquare) = WSSR/ndf   : 120.986
p-value of the Chisq distribution (FIT_P)              : 0

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
slope           = -2.73153         +/- 1.013        (37.1%)
offset          = 0.0968507        +/- 0.001458     (1.505%)

correlation matrix of the fit parameters:
                slope  offset 
slope           1.000 
offset         -0.567  1.000