ExponentialCutoffPowerLaw1D¶
- class astropy.modeling.powerlaws.ExponentialCutoffPowerLaw1D(amplitude, x_0, alpha, x_cutoff, **constraints)[source] [edit on github]¶
Bases: astropy.modeling.Fittable1DModel
One dimensional power law model with an exponential cutoff.
Parameters: amplitude : float
Model amplitude
x_0 : float
Reference point
alpha : float
Power law index
x_cutoff : float
Cutoff point
See also
Notes
Model formula (with
for amplitude and 
for alpha):
Attributes Summary
alpha amplitude input_names list() -> new empty list param_names list() -> new empty list x_0 x_cutoff Methods Summary
eval(*args, **kwargs) Deprecated since version 1.0.
evaluate(x, amplitude, x_0, alpha, x_cutoff) One dimensional exponential cutoff power law model function fit_deriv(x, amplitude, x_0, alpha, x_cutoff) One dimensional exponential cutoff power law derivative with respect to parameters Attributes Documentation
- alpha¶
- amplitude¶
- input_names = ['x']¶
- param_names = ['amplitude', 'x_0', 'alpha', 'x_cutoff']¶
- x_0¶
- x_cutoff¶
Methods Documentation
- static eval(*args, **kwargs) [edit on github]¶
Deprecated since version 1.0: The eval method is deprecated and may be removed in a future version. Use ExponentialCutoffPowerLaw1D.evaluate instead.
One dimensional exponential cutoff power law model function
- static evaluate(x, amplitude, x_0, alpha, x_cutoff)[source] [edit on github]¶
One dimensional exponential cutoff power law model function
- static fit_deriv(x, amplitude, x_0, alpha, x_cutoff)[source] [edit on github]¶
One dimensional exponential cutoff power law derivative with respect to parameters