

*******************************************************************************
Sat Oct  7 12:11:35 2017


FIT:    data read from "20171007_3dFit_all.csv" every ::1 using 1:5
        format = x:z
        #datapoints = 400
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.08985e+09       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707107

initial set of free parameter values

a               = 1
b               = 1

After 2 iterations the fit converged.
final sum of squares of residuals : 2.34752e+08
rel. change during last iteration : -6.88157e-06

degrees of freedom    (FIT_NDF)                        : 398
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 768.004
variance of residuals (reduced chisquare) = WSSR/ndf   : 589830

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

a               = -168.685         +/- 1.208e+06    (7.161e+05%)
b               = 1463.12          +/- 117.2        (8.012%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.945  1.000 


*******************************************************************************
Sat Oct  7 12:11:35 2017


FIT:    data read from "20171007_3dFit_all.csv" every ::1 using 3:5
        format = x:z
        #datapoints = 400
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.08907e+09       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.855277

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 1.32414e+08
rel. change during last iteration : -4.04224e-13

degrees of freedom    (FIT_NDF)                        : 398
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 576.8
variance of residuals (reduced chisquare) = WSSR/ndf   : 332699

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aa              = -10433           +/- 594.9        (5.702%)
bb              = 8544.05          +/- 404.8        (4.737%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -0.997  1.000 


*******************************************************************************
Sat Oct  7 12:11:35 2017


FIT:    data read from "20171007_3dFit_all.csv" every ::1 using 3:4
        format = x:z
        #datapoints = 400
        residuals are weighted equally (unit weight)

function used for fitting: h(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 3.69084e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.855277

initial set of free parameter values

aaa             = 1
bbb             = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 17055.3
rel. change during last iteration : -3.67716e-12

degrees of freedom    (FIT_NDF)                        : 398
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.54618
variance of residuals (reduced chisquare) = WSSR/ndf   : 42.8525

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aaa             = -335             +/- 6.751        (2.015%)
bbb             = 323.487          +/- 4.594        (1.42%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -0.997  1.000 


*******************************************************************************
Sat Oct  7 12:11:35 2017


FIT:    data read from "20171007_3dFit_all.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 400
        residuals are weighted equally (unit weight)

function used for fitting: i(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 3.74103e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707136

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 18560.2
rel. change during last iteration : -9.79115e-11

degrees of freedom    (FIT_NDF)                        : 398
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.82888
variance of residuals (reduced chisquare) = WSSR/ndf   : 46.6336

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aaaa            = -7152.05         +/- 151.4        (2.117%)
bbbb            = 159.156          +/- 1.378        (0.8657%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -0.969  1.000 
