SkyModelBase

class gammapy.modeling.models.SkyModelBase(**kwargs)[source]

Bases: gammapy.modeling.models.core.Model

Sky model base class

Attributes Summary

default_parameters

parameters

Parameters (Parameters)

Methods Summary

__call__(self, lon, lat, energy)

Call self as a function.

copy(self)

A deep copy.

create(tag, \*args, \*\*kwargs)

Create a model instance.

evaluate_geom(self, geom)

from_dict(data)

to_dict(self)

Create dict for YAML serialisation

Attributes Documentation

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

Parameters (Parameters)

Methods Documentation

__call__(self, lon, lat, energy)[source]

Call self as a function.

copy(self)

A deep copy.

static create(tag, *args, **kwargs)

Create a model instance.

Examples

>>> from gammapy.modeling import Model
>>> spectral_model = Model.create("PowerLaw2SpectralModel", amplitude="1e-10 cm-2 s-1", index=3)
>>> type(spectral_model)
gammapy.modeling.models.spectral.PowerLaw2SpectralModel
evaluate_geom(self, geom)[source]
classmethod from_dict(data)
to_dict(self)

Create dict for YAML serialisation