SkyDiffuseMap

class gammapy.image.models.SkyDiffuseMap(map, norm=1, meta=None, normalize=True, interp_kwargs=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 Map.interp_by_coord(). Default arguments are {‘interp’: ‘linear’, ‘fill_value’: 0}.

Methods Summary

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

Methods Documentation

__call__(lon, lat)

Call evaluate method

copy()

A deep copy.

evaluate(lon, lat, norm)

Evaluate model.

normalize()

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().