SkyDiffuseMap¶

class gammapy.image.models.SkyDiffuseMap(map, norm=1, meta=None, normalize=True, interp_kwargs=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`	Returns the effective radius of the sky region where the model evaluates to non-zero.
`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.

Attributes Documentation

evaluation_radius¶

Returns the effective radius of the sky region where the model evaluates to non-zero. For a DiffuseMap source, we fix it to half of the maximal dimension of the map.

Returns:	radius : `Angle` Radius in angular units.

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()`.