TemplateSpatialModel

class gammapy.modeling.models.TemplateSpatialModel(map, meta=None, normalize=True, interp_kwargs=None, filename=None)

Bases: gammapy.modeling.models.SpatialModel

Spatial sky map template model.

For more information see Template spatial model.

Parameters

mapMap

Map template.

metadict, optional

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

normalizebool

Normalize the input map so that it integrates to unity.

interp_kwargsdict

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

Attributes Summary

covariance
default_parameters
evaluation_bin_size_min
evaluation_radius	Evaluation radius (Angle).
evaluation_region	Evaluation region
frame
frozen	Frozen status of a model, True if all parameters are frozen
is_energy_dependent
map	Template map (Map)
parameters	Parameters (Parameters)
phi_0
position	SkyCoord
position_error	Get 95% containment position error as (EllipseSkyRegion)
position_lonlat	Spatial model center position (lon, lat) in rad and frame of the model
tag
type

Methods Summary

__call__(lon, lat[, energy])	Call evaluate method
copy()	A deep copy.
evaluate(lon, lat[, energy])
evaluate_geom(geom)	Evaluate model on Geom
freeze()	Freeze all parameters
from_dict(data)
from_parameters(parameters, **kwargs)	Create model from parameter list
from_position(position, **kwargs)	Define the position of the model using a sky coord
integrate_geom(geom[, oversampling_factor])	Integrate model on Geom or RegionGeom.
plot([ax, geom])	Plot spatial model.
plot_error([ax])	Plot position error
plot_grid([geom])	Plot spatial model energy slices in a grid.
plot_interative([ax, geom])	Plot spatial model.
read(filename[, normalize])	Read spatial template model from FITS image.
reassign(datasets_names, new_datasets_names)	Reassign a model from one dataset to another
to_dict([full_output])	Create dict for YAML serilisation
to_region(**kwargs)	Model outline from template map boundary (RectangleSkyRegion).
unfreeze()	Restore parameters frozen status to default
write([overwrite])

Attributes Documentation

covariance

default_parameters = <gammapy.modeling.parameter.Parameters object>

evaluation_bin_size_min

evaluation_radius

Evaluation radius (Angle).

Set to half of the maximal dimension of the map.

evaluation_region

Evaluation region

frame

frozen

Frozen status of a model, True if all parameters are frozen

is_energy_dependent

map

Template map (Map)

parameters

Parameters (Parameters)

phi_0

position

SkyCoord

position_error

Get 95% containment position error as (EllipseSkyRegion)

position_lonlat

Spatial model center position (lon, lat) in rad and frame of the model

tag = ['TemplateSpatialModel', 'template']

type

Methods Documentation

__call__(lon, lat, energy=None)

Call evaluate method

copy()

A deep copy.

evaluate(lon, lat, energy=None)

evaluate_geom(geom)

Evaluate model on Geom

Parameters

geomWcsGeom

Returns

Map

freeze()

Freeze all parameters

classmethod from_dict(data)

classmethod from_parameters(parameters, **kwargs)

Create model from parameter list

Parameters

parametersParameters

Parameters for init

Returns

modelModel

Model instance

classmethod from_position(position, **kwargs)

Define the position of the model using a sky coord

Parameters

positionSkyCoord

Position

Returns

modelSpatialModel

Spatial model

integrate_geom(geom, oversampling_factor=None)

Integrate model on Geom or RegionGeom.

Integration is performed by simple rectangle approximation, the pixel center model value is multiplied by the pixel solid angle. An oversampling factor can be used for precision. By default, this parameter is set to None and an oversampling factor is automatically estimated based on the model estimation maximal bin width.

For a RegionGeom, the model is integrated on a tangent WCS projection in the region.

Parameters

geomWcsGeom or RegionGeom

The geom on which the integration is performed

oversampling_factorint or None

The oversampling factor to use for integration. Default is None: the factor is estimated from the model minimimal bin size

Returns

Map or gammapy.maps.RegionNDMap, containing

the integral value in each spatial bin.

plot(ax=None, geom=None, **kwargs)

Plot spatial model.

Parameters

axAxes, optional

Axis

geomWcsGeom, optional

Geom to use for plotting.

**kwargsdict

Keyword arguments passed to plot()

Returns

axAxes, optional

Axis

plot_error(ax=None, **kwargs)

Plot position error

Parameters

axAxes, optional

Axis

**kwargsdict

Keyword arguments passed to plot()

Returns

axAxes, optional

Axis

plot_grid(geom=None, **kwargs)

Plot spatial model energy slices in a grid.

Parameters

geomWcsGeom, optional

Geom to use for plotting.

**kwargsdict

Keyword arguments passed to plot()

Returns

axAxes, optional

Axis

plot_interative(ax=None, geom=None, **kwargs)

Plot spatial model.

Parameters

axAxes, optional

Axis

geomWcsGeom, optional

Geom to use for plotting.

**kwargsdict

Keyword arguments passed to plot()

Returns

axAxes, optional

Axis

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

Read spatial template model from FITS image. If unit is not given in the FITS header the default is sr-1.

Parameters

filenamestr

FITS image filename.

normalizebool

Normalize the input map so that it integrates to unity.

kwargsdict

Keyword arguments passed to Map.read().

reassign(datasets_names, new_datasets_names)

Reassign a model from one dataset to another

Parameters

datasets_namesstr or list

Name of the datasets where the model is currently defined

new_datasets_namesstr or list

Name of the datasets where the model should be defined instead. If multiple names are given the two list must have the save length, as the reassignment is element-wise.

Returns

modelModel

Reassigned model.

to_dict(full_output=False)

Create dict for YAML serilisation

to_region(**kwargs)

Model outline from template map boundary (RectangleSkyRegion).

unfreeze()

Restore parameters frozen status to default

write(overwrite=False)