GaussianAbsorption1D¶
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class
astropy.modeling.functional_models.
GaussianAbsorption1D
[source] [edit on github]¶ Bases:
astropy.modeling.Fittable1DModel
One dimensional Gaussian absorption line model.
Parameters: amplitude : float
Amplitude of the gaussian absorption.
mean : float
Mean of the gaussian.
stddev : float
Standard deviation of the gaussian.
Other Parameters: fixed : a dict
A dictionary
{parameter_name: boolean}
of parameters to not be varied during fitting. True means the parameter is held fixed. Alternatively thefixed
property of a parameter may be used.tied : dict
A dictionary
{parameter_name: callable}
of parameters which are linked to some other parameter. The dictionary values are callables providing the linking relationship. Alternatively thetied
property of a parameter may be used.bounds : dict
eqcons : list
A list of functions of length
n
such thateqcons[j](x0,*args) == 0.0
in a successfully optimized problem.ineqcons : list
A list of functions of length
n
such thatieqcons[j](x0,*args) >= 0.0
is a successfully optimized problem.See also
Notes
Model formula:
\[f(x) = 1 - A e^{- \frac{\left(x - x_{0}\right)^{2}}{2 \sigma^{2}}}\]Attributes Summary
amplitude
mean
param_names
stddev
Methods Summary
evaluate
(x, amplitude, mean, stddev)GaussianAbsorption1D model function. fit_deriv
(x, amplitude, mean, stddev)GaussianAbsorption1D model function derivatives. Attributes Documentation
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amplitude
¶
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mean
¶
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param_names
= ('amplitude', 'mean', 'stddev')¶
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stddev
¶
Methods Documentation
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static
evaluate
(x, amplitude, mean, stddev)[source] [edit on github]¶ GaussianAbsorption1D model function.
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static
fit_deriv
(x, amplitude, mean, stddev)[source] [edit on github]¶ GaussianAbsorption1D model function derivatives.
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