SpatialModel

class gammapy.modeling.models.SpatialModel(**kwargs)

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)

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)

Evaluate model on Geom.

classmethod from_dict(data)

plot(self, 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

to_dict(self)

Create dict for YAML serilisation