PriorParameter

class gammapy.modeling.PriorParameter

Bases: Parameter

Parameter of a Prior.

A prior is a probability density function of a model parameter and can take different forms, including but not limited to Gaussian distributions and uniform distributions. The prior includes information or knowledge about the dataset or the parameters of the fit.

Parameters:

namestr

Name.

valuefloat or Quantity

Value.

unitUnit or str, optional

Unit. Default is “”.

Examples

For a usage example see Priors tutorial.

Methods Summary

to_dict()

Convert to dictionary.

Methods Documentation

to_dict()

Convert to dictionary.

__init__(name, value, unit='', scale=1, min=nan, max=nan, error=0, scale_method='scale10', scale_transform='lin')

classmethod __new__(*args, **kwargs)