--------------------------- fit_line ---------------------------

   Data set: Capella(1318), Mkn 421(457), and Sim_1318; hist_index = 6

   Fit around: 15 A   (0.826567 keV)

Using count data
  Variable parameters = 3
            Data bins = 12
  Best fit chi-square =  8.6223e+00
Normalized chi-square =  9.5803e-01
Using count data
marquardt:  Too many iterations:  no decrease in chi-square
marquardt:  Too many iterations:  no decrease in chi-square

  ROI CORE counts: 65115.7

  Parameters for the CORE fit:

gauss(1)+poly(1)
 idx      param             tie-to  freeze         value          min          max
  1  gauss[1].area               0     0     6.2981766e+04    6.512e+03    6.512e+05
  2  gauss[1].center             0     0     1.4999993e+01    1.489e+01    1.511e+01
  3  gauss[1].sigma              0     0     7.2313618e-03    1.532e-03    3.830e-02
  4  poly[1].a0                  0     1     0.0000000e+00    0.000e+00    6.512e+05
  5  poly[1].a1                  0     1     0.0000000e+00   -1.000e+00    1.000e+00
  6  poly[1].a2                  0     1     0.0000000e+00   -1.000e+00    1.000e+00

  E/dE for the CORE fit = 882.68
   ( 784.148 to 982.385, 90 percent confidence )

Using count data
  Variable parameters = 2
            Data bins = 70
  Best fit chi-square =  5.7619e+01
Normalized chi-square =  8.4734e-01

  ROI WING counts: -14.0499

  Parameters for the WINGS fit:

lorentz(1)
 idx      param             tie-to  freeze         value          min          max
  1  lorentz[1].area             0     0    -4.1916555e+02   -4.215e+02   -4.215e+00
  2  lorentz[1].center           0     1     1.4999993e+01    1.489e+01    1.511e+01
  3  lorentz[1].fwhm             0     0     6.5225456e-02    3.600e-03    9.000e-02