SpatialModel¶
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class
gammapy.modeling.models.SpatialModel(**kwargs)[source]¶ Bases:
gammapy.modeling.models.core.ModelSpatial model base class.
Attributes Summary
Parameters (
Parameters)Spatial model center position
Get 95% containment position error as (
EllipseSkyRegion)Methods Summary
__call__(lon, lat[, energy])Call evaluate method
copy()A deep copy.
create(tag[, model_type])Create a model instance.
evaluate_geom(geom)from_dict(data)from_parameters(parameters, **kwargs)Create model from parameter list
integrate_geom(geom)Integrate model on
Geom.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.
to_dict([full_output])Create dict for YAML serilisation
Attributes Documentation
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covariance¶
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default_parameters= <gammapy.modeling.parameter.Parameters object>¶
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is_energy_dependent¶
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parameters¶ Parameters (
Parameters)
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phi_0¶
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position¶ Spatial model center position
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position_error¶ Get 95% containment position error as (
EllipseSkyRegion)
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type¶
Methods Documentation
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copy()¶ A deep copy.
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static
create(tag, model_type=None, *args, **kwargs)¶ Create a model instance.
Examples
>>> from gammapy.modeling.models import Model >>> spectral_model = Model.create("pl-2", model_type="spectral", amplitude="1e-10 cm-2 s-1", index=3) >>> type(spectral_model) gammapy.modeling.models.spectral.PowerLaw2SpectralModel
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classmethod
from_dict(data)¶
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classmethod
from_parameters(parameters, **kwargs)¶ Create model from parameter list
- Parameters
- parameters
Parameters Parameters for init
- parameters
- Returns
- model
Model Model instance
- model
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