CompoundSpectralModel

class gammapy.modeling.models.CompoundSpectralModel

Bases: CovarianceMixin, SpectralModel

Arithmetic combination of two spectral models.

For more information see Compound spectral model.

Attributes Summary

default_parameters
parameters	Parameters as a Parameters object.
parameters_unique_names
tag

Methods Summary

__call__(energy)	Call self as a function.
evaluate(energy, *args)
from_dict(data, **kwargs)
to_dict([full_output])	Create dictionary for YAML serialisation.

Attributes Documentation

default_parameters = <gammapy.modeling.parameter.Parameters object>

parameters

parameters_unique_names

tag = ['CompoundSpectralModel', 'compound']

Methods Documentation

__call__(energy)

Call self as a function.

evaluate(energy, *args)

classmethod from_dict(data, **kwargs)

to_dict(full_output=False)

Create dictionary for YAML serialisation.

__init__(model1, model2, operator)

classmethod __new__(*args, **kwargs)