*******************************************************************************
Tue Jun 19 07:47:48 2018


FIT:    data read from 'calo_histogram.dat' u 2:3
        format = x:z
        x range restricted to [-71.3194 : 725.081]
        #datapoints = 30450
        residuals are weighted equally (unit weight)

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

iter      chisq       delta/lim  lambda   a             b             c             d            
   0 2.9335016995e+05   0.00e+00  1.17e-02    1.000000e+00   1.000000e+00   1.000000e+00   1.000000e+00

Current data point
=========================
#               = 662 out of 30450
x               = 2.83272        
z               = 0              

Current set of parameters
=========================
a               = 2.83272        
b               = -1.07267       
c               = -1.51871       
d               = -0.0802958     

BREAK: Undefined value during function evaluation

*******************************************************************************
Tue Jun 19 07:49:19 2018


FIT:    data read from 'calo_histogram.dat' u 2:3
        format = x:z
        x range restricted to [-71.3194 : 725.081]
        #datapoints = 30450
        residuals are weighted equally (unit weight)

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

Warning: Initial value of parameter 'd' is zero.
iter      chisq       delta/lim  lambda   a             b             c             d            
   0 2.1599877928e+06   0.00e+00  5.48e+02    3.000000e+01   5.000000e-03   1.000000e+00   1.000000e-30
BREAK: Singular matrix in Invert_RtR

*******************************************************************************
Tue Jun 19 07:53:46 2018


FIT:    data read from 'calo_histogram.dat' u 2:3
        format = x:z
        x range restricted to [0.00000 : 600.000]
        #datapoints = 25200
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = a*exp(-x*b)*(1+e*cos(c*x+d))
fitted parameters initialized with current variable values

Warning: Initial value of parameter 'd' is zero.
iter      chisq       delta/lim  lambda   a             b             c             d             e            
   0 1.0598437914e+06   0.00e+00  2.45e+03    1.500000e+01   5.000000e-03   2.000000e+01   1.000000e-30   1.000000e+00
BREAK: Singular matrix in Invert_RtR

*******************************************************************************
Tue Jun 19 08:09:36 2018


FIT:    data read from 'calo_histogram.dat' u 2:3
        format = x:z
        x range restricted to [0.00000 : 600.000]
        #datapoints = 25200
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = a*exp(-x*b)*(1+e*cos(c*x+d))
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b             c             d             e            
   0 1.4396654226e+06   0.00e+00  3.24e+02    3.000000e+01   8.400000e-03   2.000000e+01   1.000000e-30  -1.000000e-01
BREAK: Singular matrix in Invert_RtR

*******************************************************************************
Tue Jun 19 08:10:08 2018


FIT:    data read from 'calo_histogram.dat' u 2:3
        format = x:z
        x range restricted to [0.00000 : 600.000]
        #datapoints = 25200
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = a*exp(-x*b)*(1+e*cos(c*x+d))
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b             c             d            
   0 1.4253841908e+05   0.00e+00  1.50e+00    1.108228e+01   1.678796e-02   2.001752e+01   1.000000e-30
BREAK: Singular matrix in Invert_RtR

*******************************************************************************
Tue Jun 19 08:11:46 2018


FIT:    data read from 'calo_histogram.dat' u 2:3
        format = x:z
        x range restricted to [0.00000 : 600.000]
        #datapoints = 25200
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = a*exp(-x*b)*(1+e*cos(c*x+d))
fitted parameters initialized with current variable values

Warning: Initial value of parameter 'e' is zero.
iter      chisq       delta/lim  lambda   a             b             c             e            
   0 1.4267516683e+06   0.00e+00  5.77e+00    3.000000e+01   8.400000e-03   2.000000e+01   1.000000e-30
BREAK: Singular matrix in Invert_RtR

*******************************************************************************
Tue Jun 19 08:12:55 2018


FIT:    data read from 'calo_histogram.dat' u 2:3
        format = x:z
        x range restricted to [0.00000 : 600.000]
        #datapoints = 25200
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = a*exp(-x*b)*(1+e*cos(c*x+d))
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b             c             e            
   0 1.4396950874e+06   0.00e+00  3.62e+02    3.000000e+01   8.400000e-03   2.000000e+01  -1.000000e-01
   5 1.4253148604e+05  -2.07e-01  3.62e-03    1.108211e+01   1.678765e-02   2.001762e+01  -1.080910e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 142531
rel. change during last iteration : -2.06565e-06

degrees of freedom    (FIT_NDF)                        : 25196
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 2.37843
variance of residuals (reduced chisquare) = WSSR/ndf   : 5.65691

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 11.0821          +/- 0.09679      (0.8734%)
b               = 0.0167877        +/- 0.0002057    (1.225%)
c               = 20.0176          +/- 0.02361      (0.1179%)
e               = -0.0108091       +/- 0.009396     (86.93%)

correlation matrix of the fit parameters:
                a      b      c      e      
a               1.000 
b               0.713  1.000 
c              -0.016 -0.013  1.000 
e               0.041  0.026 -0.369  1.000