ConstantFluxSpatialModel#

class gammapy.modeling.models.ConstantFluxSpatialModel(**kwargs)[source]#

Bases: gammapy.modeling.models.spatial.SpatialModel

Spatially constant flux spatial model.

For more information see Constant spatial model.

Attributes Summary

`covariance`
`default_parameters`
`evaluation_bin_size_min`
`evaluation_radius`
`evaluation_region`	Evaluation region
`frame`
`frozen`	Frozen status of a model, True if all parameters are frozen
`is_energy_dependent`
`parameters`	Parameters (`Parameters`)
`phi_0`
`position`
`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`(**kwargs)
`evaluate`(lon, lat)	Evaluate model.
`evaluate_geom`(geom)	Evaluate model.
`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])	Evaluate model.
`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.
`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 (`RectangleSkyRegion`).
`unfreeze`()	Restore parameters frozen status to default

Attributes Documentation

covariance#

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

evaluation_bin_size_min#

evaluation_radius = None#

evaluation_region#: Evaluation region

frame = 'icrs'#

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

is_energy_dependent#

parameters#: Parameters (Parameters)

phi_0#

position = None#

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 = ['ConstantFluxSpatialModel', 'const-flux']#

type#

Methods Documentation

__call__(lon, lat, energy=None)#: Call evaluate method

copy(**kwargs)#

static evaluate(lon, lat)[source]#: Evaluate model.

static evaluate_geom(geom)[source]#: Evaluate model.

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

static integrate_geom(geom, oversampling_factor=None)[source]#: Evaluate model.

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

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)[source]#: Create dict for YAML serilisation

to_region(**kwargs)[source]#: Model outline (RectangleSkyRegion).

unfreeze()#: Restore parameters frozen status to default