SpatialModel¶
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class
gammapy.modeling.models.SpatialModel(**kwargs)[source]¶ Bases:
gammapy.modeling.models.core.ModelBaseSpatial model base class.
Attributes Summary
Evaluation radius
Evaluation region
Frozen status of a model, True if all parameters are frozen
Parameters (
Parameters)Spatial model center position (
SkyCoord)Get 95% containment position error as (
EllipseSkyRegion)Spatial model center position
(lon, lat)in rad and frame of the modelMethods Summary
__call__(lon, lat[, energy])Call evaluate method
copy()A deep copy.
evaluate_geom(geom)Evaluate model on
Geomfreeze()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
GeomorRegionGeom.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
unfreeze()Restore parameters frozen status to default
Attributes Documentation
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covariance¶
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default_parameters= <gammapy.modeling.parameter.Parameters object>¶
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evaluation_bin_size_min¶
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evaluation_radius¶ Evaluation radius
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evaluation_region¶ Evaluation region
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frozen¶ Frozen status of a model, True if all parameters are frozen
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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 (
SkyCoord)
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position_error¶ Get 95% containment position error as (
EllipseSkyRegion)
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position_lonlat¶ Spatial model center position
(lon, lat)in rad and frame of the model
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type¶
Methods Documentation
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copy()¶ A deep copy.
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freeze()¶ Freeze all parameters
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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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classmethod
from_position(position, **kwargs)[source]¶ Define the position of the model using a sky coord
- Parameters
- position
SkyCoord Position
- position
- Returns
- model
SpatialModel Spatial model
- model
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integrate_geom(geom, oversampling_factor=None)[source]¶ Integrate model on
GeomorRegionGeom.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
- geom
WcsGeomorRegionGeom 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
- geom
- Returns
Maporgammapy.maps.RegionNDMap, containingthe integral value in each spatial bin.
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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
- model
Model Reassigned model.
- model
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unfreeze()¶ Restore parameters frozen status to default
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