*******************************************************************************
Thu Oct  5 14:02:32 2017


FIT:    data read from "20171005-evolution1D_4x7_100Times.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x+b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 4.8453053176e+06   0.00e+00  7.07e-01    1.000000e+00   1.000000e+00
   5 1.6409518325e+05  -9.52e-05  7.07e-06   -3.129336e+03   2.663203e+02

After 5 iterations the fit converged.
final sum of squares of residuals : 164095
rel. change during last iteration : -9.51616e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 40.9199
variance of residuals (reduced chisquare) = WSSR/ndf   : 1674.44

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = -3129.34         +/- 2384         (76.19%)
b               = 266.32           +/- 37.57        (14.11%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.994  1.000 


*******************************************************************************
Thu Oct  5 14:02:32 2017


FIT:    data read from "20171005-evolution1D_4x7_100Times.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
	g(x)=aa*x+bb
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   aa            bb           
   0 4.8067339365e+06   0.00e+00  9.56e-01    1.000000e+00   1.000000e+00
   5 1.5824530732e+05  -3.08e-07  9.56e-06    1.317597e+03  -9.801188e+02

After 5 iterations the fit converged.
final sum of squares of residuals : 158245
rel. change during last iteration : -3.0782e-12

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 40.1839
variance of residuals (reduced chisquare) = WSSR/ndf   : 1614.75

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
aa              = 1317.6           +/- 566.5        (43%)
bb              = -980.119         +/- 514.9        (52.53%)

correlation matrix of the fit parameters:
                aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Thu Oct  5 14:02:32 2017


FIT:    data read from "20171005-evolution1D_4x7_100Times.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

function used for fitting: h(x)
	h(x)=aaa*x+bbb
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   aaa           bbb          
   0 8.1385601354e+06   0.00e+00  9.56e-01    1.000000e+00   1.000000e+00
   5 2.1970491829e+01  -1.63e-02  9.56e-06   -3.136035e+03   3.136342e+03

After 5 iterations the fit converged.
final sum of squares of residuals : 21.9705
rel. change during last iteration : -1.62953e-07

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.473486
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.224189

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
aaa             = -3136.04         +/- 6.675        (0.2129%)
bbb             = 3136.34          +/- 6.067        (0.1934%)

correlation matrix of the fit parameters:
                aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000