SkyDiffuseCube

class gammapy.cube.models.SkyDiffuseCube(map, norm=1, meta=None, interp_kwargs=None, name='diffuse', filename=None, obs_id='Global')

Bases: gammapy.cube.models.SkyModelBase

Cube sky map template model (3D).

This is for a 3D map with an energy axis. Use SkyDiffuseMap for 2D maps.

Parameters:

map : Map

Map template

norm : float

Norm parameter (multiplied with map values)

meta : dict, optional

Meta information, meta[‘filename’] will be used for serialization

interp_kwargs : dict

Interpolation keyword arguments passed to gammapy.maps.Map.interp_by_coord. Default arguments are {‘interp’: ‘linear’, ‘fill_value’: 0}.

Attributes Summary

evaluation_radius	Angle
frame
map
meta
norm
parameters	Parameters (Parameters)
position	SkyCoord

Methods Summary

__call__(self, lon, lat, energy)	Call self as a function.
copy(self)	A shallow copy
evaluate(self, lon, lat, energy)	Evaluate model.
read(filename, \*\*kwargs)	Read map from FITS file.
to_dict(self[, selection])

Attributes Documentation

evaluation_radius

Angle

frame

map

meta

norm

parameters

Parameters (Parameters)

position

SkyCoord

Methods Documentation

__call__(self, lon, lat, energy)

Call self as a function.

copy(self)

A shallow copy

evaluate(self, lon, lat, energy)

Evaluate model.

classmethod read(filename, **kwargs)

Read map from FITS file.

The default unit used if none is found in the file is cm-2 s-1 MeV-1 sr-1.

Parameters:

filename : str

FITS image filename.

to_dict(self, selection='all')