SkyModel

class gammapy.cube.models.SkyModel(spatial_model, spectral_model, name='source')

Bases: gammapy.cube.models.SkyModelBase

Sky model component.

This model represents a factorised sky model. It has a Parameters combining the spatial and spectral parameters.

TODO: add possibility to have a temporal model component also.

Parameters:

spatial_model : SkySpatialModel

Spatial model (must be normalised to integrate to 1)

spectral_model : SpectralModel

Spectral model

name : str

Model identifier

Attributes Summary

evaluation_radius	Angle
frame
name
parameters	Parameters (Parameters)
position	SkyCoord
spatial_model	SkySpatialModel
spectral_model	SpectralModel

Methods Summary

__call__(self, lon, lat, energy)	Call self as a function.
copy(self, \*\*kwargs)	Copy SkyModel
evaluate(self, lon, lat, energy)	Evaluate the model at given points.
to_dict(self[, selection])

Attributes Documentation

evaluation_radius

Angle

frame

name

parameters

Parameters (Parameters)

position

SkyCoord

spatial_model

SkySpatialModel

spectral_model

SpectralModel

Methods Documentation

__call__(self, lon, lat, energy)

Call self as a function.

copy(self, **kwargs)

Copy SkyModel

evaluate(self, lon, lat, energy)

Evaluate the model at given points.

The model evaluation follows numpy broadcasting rules.

Return differential surface brightness cube. At the moment in units: cm-2 s-1 TeV-1 deg-2

Parameters:

lon, lat : Quantity

Spatial coordinates

energy : Quantity

Energy coordinate

Returns:

value : Quantity

Model value at the given point.

to_dict(self, selection='all')