FM¶
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class
sherpa.astro.optical.
FM
(name='fm')[source] [edit on github]¶ Bases:
sherpa.models.model.RegriddableModel1D
UV extinction curve: Fitzpatrick and Massa 1988.
The UV extinction is calculated using 1. This model is intended to be used to modify another model (e.g. by multiplying the two together). It is for use when the independent axis is in Angstrom.
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ebv
¶ E(B-V)
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x0
¶ Position of the Drude bump.
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width
¶ Width of the Drude bump.
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c1
¶ The intercept of the linear term.
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c2
¶ The slope of the linear term.
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c3
¶ Normalization of the Drude bump.
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c4
¶ Normalization of the FUV curvature.
Notes
When evaluated on a binned grid, the lower-edges of the bins are used for the calculation.
References
- 1
Fitzpatrick and Massa 1988 http://adsabs.harvard.edu/abs/1988ApJ…328..734F
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
(p, x[, xhi])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
Methods Documentation
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apply
(outer, *otherargs, **otherkwargs) [edit on github]¶
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calc
(p, x, xhi=None, **kwargs)[source] [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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