SkyDiffuseMap

class gammapy.image.models.SkyDiffuseMap(map, norm=1, meta=None, normalize=True, interp_kwargs=None, filename=None)

Bases: gammapy.image.models.SkySpatialModel

Spatial sky map template model (2D).

This is for a 2D image. Use SkyDiffuseCube for 3D cubes with an energy axis.

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

normalize : bool

Normalize the input map so that it integrates to unity.

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	Evaluation radius (Angle).
filename
frame
map
meta
norm
parameters	Parameters (Parameters)
position	SkyCoord

Methods Summary

__call__(self, lon, lat)	Call evaluate method
copy(self)	A deep copy.
evaluate(self, lon, lat, norm)	Evaluate model.
normalize(self)	Normalize the diffuse map model so that it integrates to unity.
read(filename[, normalize])	Read spatial template model from FITS image.
to_dict(self[, selection])

Attributes Documentation

evaluation_radius

Evaluation radius (Angle).

Set to half of the maximal dimension of the map.

filename

frame

map

meta

norm

parameters

Parameters (Parameters)

position

SkyCoord

Methods Documentation

__call__(self, lon, lat)

Call evaluate method

copy(self)

A deep copy.

evaluate(self, lon, lat, norm)

Evaluate model.

normalize(self)

Normalize the diffuse map model so that it integrates to unity.

classmethod read(filename, normalize=True, **kwargs)

Read spatial template model from FITS image.

The default unit used if none is found in the file is sr-1.

Parameters:

filename : str

FITS image filename.

normalize : bool

Normalize the input map so that it integrates to unity.

kwargs : dict

Keyword arguments passed to Map.read().

to_dict(self, selection='all')