SpatialModel¶

class gammapy.modeling.models.SpatialModel(**kwargs)[source]¶

Bases: gammapy.modeling.models.core.Model

Spatial model base class.

Attributes Summary

`default_parameters`
`parameters`	Parameters (`Parameters`)
`phi_0`
`position`	Spatial model center position
`position_error`	Get 95% containment position error as (`EllipseSkyRegion`)

Methods Summary

`__call__`(self, lon, lat)	Call evaluate method
`copy`(self)	A deep copy.
`create`(tag, \args, \\*kwargs)	Create a model instance.
`evaluate_geom`(self, geom)	Evaluate model on `Geom`.
`from_dict`(data)
`plot`(self[, ax, geom])	Plot spatial model.
`to_dict`(self)	Create dict for YAML serilisation

Attributes Documentation

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

parameters¶: Parameters (Parameters)

phi_0¶

position¶: Spatial model center position

position_error¶: Get 95% containment position error as (EllipseSkyRegion)

Methods Documentation

__call__(self, lon, lat)[source]¶: Call evaluate method

copy(self)¶: A deep copy.

static create(tag, *args, **kwargs)¶

Create a model instance.

Examples

>>> from gammapy.modeling import Model
>>> spectral_model = Model.create("PowerLaw2SpectralModel", amplitude="1e-10 cm-2 s-1", index=3)
>>> type(spectral_model)
gammapy.modeling.models.spectral.PowerLaw2SpectralModel

evaluate_geom(self, geom)[source]¶: Evaluate model on Geom.

classmethod from_dict(data)¶

plot(self, ax=None, geom=None, **kwargs)[source]¶

Plot spatial model.

Parameters

axAxes, optional: Axis
geomWcsGeom, optional: Geom to use for plotting.
**kwargsdict: Keyword arguments passed to plot()

Returns

axAxes, optional: Axis

to_dict(self)[source]¶: Create dict for YAML serilisation