XSbknpower

class sherpa.astro.xspec.XSbknpower(name='bknpower')[source] [edit on github]

Bases: sherpa.astro.xspec.XSAdditiveModel

The XSPEC bknpower model: broken power law.

The model is described at [1].

PhoIndx1

The power law photon index for energies less than BreakE.

BreakE

The break energy, in keV.

PhoIndx2

The power law photon index for energies greater than BreakE.

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

XSbkn2pow, XScutoffpl, XSpowerlaw, XSzbknpower, XSzcutoffpl, XSzpowerlw

References

[1](1, 2) https://heasarc.gsfc.nasa.gov/xanadu/xspec/manual/XSmodelBknpower.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)
reset()
set_center(*args, **kwargs)
startup() 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)[source] [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) [edit on github]
reset() [edit on github]
set_center(*args, **kwargs) [edit on github]
startup() [edit on github]

Called before a model may be evaluated multiple times.

See also

teardown()

teardown() [edit on github]

Called after a model may be evaluated multiple times.

See also

setup()