LogParabola1D¶
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class
astropy.modeling.powerlaws.
LogParabola1D
(amplitude=1, x_0=1, alpha=1, beta=0, **kwargs)[source] [edit on github]¶ Bases:
astropy.modeling.Fittable1DModel
One dimensional log parabola model (sometimes called curved power law).
Parameters: amplitude : float
Model amplitude
x_0 : float
Reference point
alpha : float
Power law index
beta : float
Power law curvature
Notes
Model formula (with
for
amplitude
andfor
alpha
andfor
beta
):Attributes Summary
alpha
amplitude
beta
input_units
param_names
x_0
Methods Summary
evaluate
(x, amplitude, x_0, alpha, beta)One dimensional log parabola model function fit_deriv
(x, amplitude, x_0, alpha, beta)One dimensional log parabola derivative with respect to parameters Attributes Documentation
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alpha
¶
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amplitude
¶
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beta
¶
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input_units
¶
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param_names
= ('amplitude', 'x_0', 'alpha', 'beta')¶
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x_0
¶
Methods Documentation
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static
evaluate
(x, amplitude, x_0, alpha, beta)[source] [edit on github]¶ One dimensional log parabola model function
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static
fit_deriv
(x, amplitude, x_0, alpha, beta)[source] [edit on github]¶ One dimensional log parabola derivative with respect to parameters
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