Bases: astropy.modeling.core.Parametric1DModel
One dimensional log parabola model (sometimes called curved power law).
Parameters : | amplitude : float
x_0 : float
alpha : float
beta : float
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Notes
Model formula (with A for amplitude and \alpha for alpha and \beta for beta):
f(x) = A \left(\frac{x}{x_{0}}\right)^{- \alpha - \beta \log{\left (\frac{x}{x_{0}} \right )}}
Attributes Summary
alpha | |
amplitude | |
beta | |
param_names | list() -> new empty list |
x_0 |
Methods Summary
deriv(x, amplitude, x_0, alpha, beta) | One dimensional log parabola derivative |
eval(x, amplitude, x_0, alpha, beta) | One dimenional log parabola model function |
Attributes Documentation
Methods Documentation
One dimensional log parabola derivative
One dimenional log parabola model function