XScomptb¶
-
class
sherpa.astro.xspec.
XScomptb
(name='comptb')[source] [edit on github]¶ Bases:
sherpa.astro.xspec.XSAdditiveModel
The XSPEC comptb model: Thermal and bulk Comptonization of a seed blackbody-like spectrum.
The model is described at [1].
-
kTs
¶ The temperature of the seed photons, in keV.
-
gamma
¶ The index of the seed photon spectrum.
-
alpha
¶ The energy index of the Comptonization spectrum.
-
delta
¶ The bulk parameter, efficiency of bulk over thermal Comptonization.
-
kTe
¶ The temperature of the electrons, in keV.
-
log_A
¶ The log of the illuminating factor parameter (A).
-
norm
¶ The normalization of the seed photon spectrum: it is the same definition as used for the
XSbbody
model.
See also
References
[1] https://heasarc.gsfc.nasa.gov/xanadu/xspec/manual/XSmodelComptb.html Attributes Summary
thawedparhardmaxes
thawedparhardmins
thawedparmaxes
thawedparmins
thawedpars
version_enabled
Methods Summary
apply
(outer, *otherargs, **otherkwargs)calc
(pars, xlo, *args, **kwargs)get_center
()guess
(dep, *args, **kwargs)Set an initial guess for the parameter values. regrid
(*arrays, **kwargs)The class RegriddableModel1D allows the user to evaluate in the requested space then interpolate onto the data space. reset
()set_center
(*args, **kwargs)startup
(cache)Called before a model may be evaluated multiple times. teardown
()Called after a model may be evaluated multiple times. Attributes Documentation
-
thawedparhardmaxes
¶
-
thawedparhardmins
¶
-
thawedparmaxes
¶
-
thawedparmins
¶
-
thawedpars
¶
-
version_enabled
= True¶
Methods Documentation
-
apply
(outer, *otherargs, **otherkwargs) [edit on github]¶
-
calc
(pars, xlo, *args, **kwargs) [edit on github]¶
-
get_center
() [edit on github]¶
-
guess
(dep, *args, **kwargs) [edit on github]¶ Set an initial guess for the parameter values.
Attempt to set the parameter values, and ranges, for the model to match the data values. This is intended as a rough guess, so it is expected that the model is only evaluated a small number of times, if at all.
-
regrid
(*arrays, **kwargs) [edit on github]¶ The class RegriddableModel1D allows the user to evaluate in the requested space then interpolate onto the data space. An optional argument ‘interp’ enables the user to change the interpolation method.
Examples
>>> import numpy as np >>> from sherpa.models.basic import Box1D >>> mybox = Box1D() >>> request_space = np.arange(1, 10, 0.1) >>> regrid_model = mybox.regrid(request_space, interp=linear_interp)
-
reset
() [edit on github]¶
-
set_center
(*args, **kwargs) [edit on github]¶
-
startup
(cache) [edit on github]¶ Called before a model may be evaluated multiple times.
See also
-
teardown
() [edit on github]¶ Called after a model may be evaluated multiple times.
See also
setup()
-