XSnteea

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

Bases: sherpa.astro.xspec.XSAdditiveModel

The XSPEC nteea model: non-thermal pair plasma.

The model is described at [1].

l_nth

The nonthermal electron compactness.

l_bb

The blackbody compactness.

f_refl

The scaling factor for reflection. This is 1 for an isotropic source above the disk.

kT_bb

The blackbody temperature in eV.

g_max

The maximum Lorentz factor.

l_th

The thermal compactness. Set to 0 for a pure nonthermal plasma.

tau_p

The Thomson optical depth of ionization electrons.

G_inj

The electron injection index (0 for monoenergetic injection).

g_min

The minimum Lorentz factor of the power law injection (not used for monoenergetic injection).

g_0

The minimum Lorentz factor for nonthermal reprocessing, in the range (1, g_min].

radius

The radius in cm (for Coulomb/bremsstrahlung only).

pair_esc

The pair escape rate in c.

cosIncl

The cosine of the inclination angle.

Fe_abund

The iron abundance relative to that set by the set_xsabund function.

redshift

The redshift of the source.

norm

The normalization of the model: see [1] for more details.

Notes

The precision of the numerical integration can be changed by using the set_xsxset function to set the value of the NTEEA_PRECISION keyword, which defines the fractional precision. The default is 0.01 (1%).

References

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

teardown() [edit on github]

Called after a model may be evaluated multiple times.

See also

setup()