SkyDiffuseMap

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

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)[source]

Evaluate model.

normalize(self)[source]

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

classmethod read(filename, normalize=True, **kwargs)[source]

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')