XScutoffpl¶
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class
sherpa.astro.xspec.
XScutoffpl
(name='cutoffpl')[source] [edit on github]¶ Bases:
sherpa.astro.xspec.XSAdditiveModel
The XSPEC cutoffpl model: power law, high energy exponential cutoff.
The model is described at [1].
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PhoIndex
¶ The power law photon index.
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HighECut
¶ The e-folding energy of the exponential rolloff, in keV.
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norm
¶ The normalization of the model. See [1] for details, as its meaning depends on whether the “POW_EMIN” or “POW_EMAX” keywords have been set with
set_xsxset
.
See also
XSbknpower
,XSbkn2pow
,XSpowerlaw
,XSzcutoffpl
,XSzpowerlw
References
[1] (1, 2) https://heasarc.gsfc.nasa.gov/xanadu/xspec/manual/XSmodelCutoffpl.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
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thawedparhardmaxes
¶
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thawedparhardmins
¶
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thawedparmaxes
¶
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thawedparmins
¶
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thawedpars
¶
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version_enabled
= True¶
Methods Documentation
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apply
(outer, *otherargs, **otherkwargs) [edit on github]¶
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calc
(pars, xlo, *args, **kwargs) [edit on github]¶
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get_center
() [edit on github]¶
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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.
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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)
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reset
() [edit on github]¶
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set_center
(*args, **kwargs) [edit on github]¶
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startup
(cache) [edit on github]¶ Called before a model may be evaluated multiple times.
See also
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teardown
() [edit on github]¶ Called after a model may be evaluated multiple times.
See also
setup()
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