SkyModel

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

Copy SkyModel

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

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')