BrokenPowerLaw1D¶

class astropy.modeling.powerlaws.BrokenPowerLaw1D(amplitude=1, x_break=1, alpha_1=1, alpha_2=1, **kwargs)[source] [edit on github]¶

Bases: astropy.modeling.Fittable1DModel

One dimensional power law model with a break.

Parameters:

amplitude : float

Model amplitude at the break point.

x_break : float

Break point.

alpha_1 : float

Power law index for x < x_break.

alpha_2 : float

Power law index for x > x_break.

Notes

Model formula (with A for amplitude and \alpha_1 for alpha_1 and \alpha_2 for alpha_2):

f(x) = \left \{ \begin{array}{ll} A (x / x_{break}) ^ {-\alpha_1} & : x < x_{break} \\ A (x / x_{break}) ^ {-\alpha_2} & : x > x_{break} \\ \end{array} \right.

Attributes Summary

`alpha_1`
`alpha_2`
`amplitude`
`input_units`
`param_names`
`x_break`

Methods Summary

`evaluate`(x, amplitude, x_break, alpha_1, alpha_2)	One dimensional broken power law model function
`fit_deriv`(x, amplitude, x_break, alpha_1, …)	One dimensional broken power law derivative with respect to parameters

Attributes Documentation

alpha_1¶

alpha_2¶

amplitude¶

input_units¶

param_names = ('amplitude', 'x_break', 'alpha_1', 'alpha_2')¶

x_break¶

Methods Documentation

static evaluate(x, amplitude, x_break, alpha_1, alpha_2)[source] [edit on github]¶: One dimensional broken power law model function

static fit_deriv(x, amplitude, x_break, alpha_1, alpha_2)[source] [edit on github]¶: One dimensional broken power law derivative with respect to parameters

Navigation

BrokenPowerLaw1D¶