NormGauss1D¶
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class
sherpa.models.basic.NormGauss1D(name='normgauss1d')[source] [edit on github]¶ Bases:
sherpa.models.model.RegriddableModel1DOne-dimensional normalised gaussian function.
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fwhm¶ The Full-Width Half Maximum of the gaussian. It is related to the sigma value by: FWHM = sqrt(8 * log(2)) * sigma.
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pos¶ The center of the gaussian.
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ampl¶ The amplitude refers to the integral of the model over the range -infinity to infinity.
See also
Notes
The functional form of the model for points is:
f(x) = ampl * exp(-4 * log(2) * (x - pos)^2 / fwhm^2) ---------------------------------------------- sqrt(pi / (4 * log(2))) * fwhm
and for an integrated grid it is the integral of this over the bin.
Attributes Summary
thawedparhardmaxesthawedparhardminsthawedparmaxesthawedparminsthawedparsMethods 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)reset()set_center(pos, *args, **kwargs)startup()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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thawedparhardmaxes¶
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thawedparhardmins¶
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thawedparmaxes¶
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thawedparmins¶
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thawedpars¶
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]¶
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get_center()[source] [edit on github]¶
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guess(dep, *args, **kwargs)[source] [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(*arrays) [edit on github]¶
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reset() [edit on github]¶
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set_center(pos, *args, **kwargs)[source] [edit on github]¶
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startup() [edit on github]¶ Called before a model may be evaluated multiple times.
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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