XSvmcflow¶
-
class
sherpa.astro.xspec.
XSvmcflow
(name='vmcflow')[source] [edit on github]¶ Bases:
sherpa.astro.xspec.XSAdditiveModel
The XSPEC vmcflow model: cooling flow, mekal.
The model is described at [1]. The results of this model depend on the cosmology settings set with
set_xscosmo
.-
lowT
¶ The minimum temperature, in keV.
-
highT
¶ The maxmimum temperature, in keV.
-
He, C, N, O, Ne, Na, Mg, Al, Si, S, Ar, Ca, Fe, Ni
The abundance relative to Solar.
-
redshift
¶ The redshift of the plasma.
-
switch
¶ If 0, the mekal code is run to evaluate the model; if 1 then interpolation of the mekal data is used; if 2 then interpolation of APEC data is used. See [1] for more details. This parameter can not be thawed.
-
norm
¶ The mass accretion rate (solar mass per year).
References
[1] (1, 2) https://heasarc.gsfc.nasa.gov/xanadu/xspec/manual/XSmodelMkcflow.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
() [edit on github]¶ Called after a model may be evaluated multiple times.
See also
setup()
-