XSjet¶
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class
sherpa.astro.xspec.
XSjet
(name='jet')[source] [edit on github]¶ Bases:
sherpa.astro.xspec.XSAdditiveModel
The XSPEC jet model: Leptonic relativistic jet model.
The model is described at 1.
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mass
¶ Black hole mass, in solar masses.
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Dco
¶ Comoving distance, as in XSoptxagnf.
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log_mdot
¶ log (accretion power / Eddington luminosity), in units of log L / logLEdd. See 1 for a full discussion of this parameter.
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thetaobs
¶ The inclination angle (deg) between the jet axis and line of sight.
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BulkG
¶ Bulk lorentz factor of the jet.
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phi
¶ The angular size scale - in radians - of the jet acceleration region as seen from the black hole. See 1 for more details.
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zdiss
¶ The vertical distance from the black hole of the jet dissipation region, in units of Rg=GM/c^2. See 1 for more details.
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B
¶ The magnetic field (in Gauss) in the jet.
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logPrel
¶ The log of the power injected in relativisitic particles, which is measured in ergs/s.
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gmin_inj
¶ The minimum lorentz factor of the injected electrons.
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gbreak
¶ The lorentz factor of the break in injected electron distribution.
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gmax
¶ The maximum lorentz factor.
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s1
¶ The injected index of the electron distribution below the break.
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s2
¶ The injected index of the electron distribution above the break.
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z
¶ The cosmological redshift corresponding to the Dco parameter.
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norm
¶ MUST BE FIXED AT UNITY as the jet spectrum normalisation is set by the relativisitic particle power.
See also
Notes
This model is only available when used with XSPEC 12.10.0 or later.
References
Attributes Summary
The hard maximum values for the thawed parameters.
The hard minimum values for the thawed parameters.
Access to the maximum limits for the thawed parameters
Access to the minimum limits for the thawed parameters
Access to the thawed parameters of the model
Methods Summary
apply
(outer, *otherargs, **otherkwargs)calc
(pars, xlo, *args, **kwargs)Evaluate the model on a grid.
guess
(dep, *args, **kwargs)Set an initial guess for the parameter values.
regrid
(*args, **kwargs)The class RegriddableModel1D allows the user to evaluate in the requested space then interpolate onto the data space.
reset
()Reset the parameter values.
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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ndim
= 1¶
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thawedparhardmaxes
¶ The hard maximum values for the thawed parameters.
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thawedparhardmins
¶ The hard minimum values for the thawed parameters.
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thawedparmaxes
¶ Access to the maximum limits for the thawed parameters
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thawedparmins
¶ Access to the minimum limits for the thawed parameters
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thawedpars
¶ Access to the thawed parameters of the model
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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]¶ Evaluate the model on a grid.
- Parameters
p (sequence of numbers) – The parameter values to use. The order matches the
pars
field.*args – The model grid. The values can be scalar or arrays, and the number depends on the dimensionality of the model and whether it is being evaluated over an integrated grid or at a point (or points).
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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
(*args, **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]¶ Reset the parameter values.
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set_center
(*args, **kwargs) [edit on github]¶
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startup
(cache=False) [edit on github]¶ Called before a model may be evaluated multiple times.
- Parameters
cache (bool, optional) – Should a cache be used when evaluating the models.
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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