

*******************************************************************************
Tue Oct 24 02:24:04 2017


FIT:    data read from "20171005-all.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 500
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.28196e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707253

initial set of free parameter values

a               = 1
b               = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 923871
rel. change during last iteration : -3.77204e-09

degrees of freedom    (FIT_NDF)                        : 498
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 43.0716
variance of residuals (reduced chisquare) = WSSR/ndf   : 1855.16

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

a               = 525.335          +/- 371.3        (70.69%)
b               = 199.937          +/- 7.551        (3.777%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.967  1.000 


*******************************************************************************
Tue Oct 24 02:24:04 2017


FIT:    data read from "20171005-all.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 500
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.26292e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.96613

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 896315
rel. change during last iteration : -2.77934e-10

degrees of freedom    (FIT_NDF)                        : 498
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 42.4244
variance of residuals (reduced chisquare) = WSSR/ndf   : 1799.83

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

aa              = 461.066          +/- 110.6        (23.99%)
bb              = -218.927         +/- 103          (47.04%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:24:04 2017


FIT:    data read from "20171005-all.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 500
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.45978e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.96613

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 44.6037
rel. change during last iteration : -1.73479e-13

degrees of freedom    (FIT_NDF)                        : 498
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.299275
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0895656

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

aaa             = -3139.92         +/- 0.7803       (0.02485%)
bbb             = 3139.95          +/- 0.7265       (0.02314%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
