XSsirf

class sherpa.astro.xspec.XSsirf(name='sirf')

Bases: sherpa.astro.xspec.XSAdditiveModel

The XSPEC sirf model: self-irradiated funnel.

The model is described at [1].

tin

The inner temperature (at the inner, inside-the-funnel photosphere), in keV.

rin

The inner (inner, inside-the-fulle photosphere) radius in “spherisation radius” units (see [1] for details).

rout

The outer photosphere radius in “spherisation radius” units

theta

The half-opening angle of the cone, in degrees.

incl

The inclination angle of the funnel, in degrees. Affects mainly self-occultation and relativistic boost effects.

valpha

The velocity law exponent.

gamma

The adiabatic index. It affects the inner, hotter parts of the flow, therefore we set is to 4/3 by default.

mdot

The mass ejection rate in Eddington (critical) units.

irrad

The number of iterations for irradiation.

norm

The normalization of the model.

References

[1]	(1, 2) https://heasarc.gsfc.nasa.gov/xanadu/xspec/manual/XSmodelSirf.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)

calc(pars, xlo, *args, **kwargs)

get_center()

guess(dep, *args, **kwargs)

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)

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()

set_center(*args, **kwargs)

startup(cache)

Called before a model may be evaluated multiple times.

See also

teardown()

teardown()

Called after a model may be evaluated multiple times.

See also

setup()