lsst.pipe.tasks geda066a9bb+d0de8bc8db
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lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConfig Class Reference
Inheritance diagram for lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConfig:
lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConnections

Public Member Functions

Tuple[Set, Set] get_columns_in (self)
 

Static Public Attributes

 match_tract_catalog
 
 refcat_sharding_type
 
 target_sharding_type
 
 cat_ref
 
 cat_target
 
 skymap
 
 cat_output_ref
 
 cat_output_target
 

Detailed Description

Configure a MatchTractCatalogTask, including a configurable matching subtask.

Definition at line 168 of file match_tract_catalog.py.

Member Function Documentation

◆ get_columns_in()

Tuple[Set, Set] lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConfig.get_columns_in ( self)
Get the set of input columns required for matching.

Returns
-------
columns_ref : `set` [`str`]
    The set of required input catalog column names.
columns_target : `set` [`str`]
    The set of required target catalog column names.

Definition at line 189 of file match_tract_catalog.py.

Member Data Documentation

◆ cat_output_ref

lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConnections.cat_output_ref
staticinherited
Initial value:
= cT.Output(
doc="Reference matched catalog with indices of target matches",
name="match_ref_{name_input_cat_ref}_{name_input_cat_target}",
storageClass="ArrowAstropy",
dimensions=("tract", "skymap"),
)

Definition at line 71 of file match_tract_catalog.py.

◆ cat_output_target

lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConnections.cat_output_target
staticinherited
Initial value:
= cT.Output(
doc="Target matched catalog with indices of reference matches",
name="match_target_{name_input_cat_ref}_{name_input_cat_target}",
storageClass="ArrowAstropy",
dimensions=("tract", "skymap"),
)

Definition at line 77 of file match_tract_catalog.py.

◆ cat_ref

lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConnections.cat_ref
staticinherited
Initial value:
= cT.Input(
doc="Reference object catalog to match from",
name="{name_input_cat_ref}",
storageClass="ArrowAstropy",
dimensions=("tract", "skymap"),
deferLoad=True,
)

Definition at line 51 of file match_tract_catalog.py.

◆ cat_target

lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConnections.cat_target
staticinherited
Initial value:
= cT.Input(
doc="Target object catalog to match",
name="{name_input_cat_target}",
storageClass="ArrowAstropy",
dimensions=("tract", "skymap"),
deferLoad=True,
)

Definition at line 58 of file match_tract_catalog.py.

◆ match_tract_catalog

lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConfig.match_tract_catalog
static
Initial value:
= pexConfig.ConfigurableField(
target=MatchTractCatalogSubTask,
doc="Task to match sources in a reference tract catalog with a target catalog",
)

Definition at line 174 of file match_tract_catalog.py.

◆ refcat_sharding_type

lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConfig.refcat_sharding_type
static
Initial value:
= pexConfig.ChoiceField[str](
doc="The type of sharding (spatial splitting) for the reference catalog",
allowed={"tract": "Tract-based shards", "none": "No sharding at all"},
default="tract",
)

Definition at line 178 of file match_tract_catalog.py.

◆ skymap

lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConnections.skymap
staticinherited
Initial value:
= cT.Input(
doc="Input definition of geometry/bbox and projection/wcs for coadded exposures",
name=BaseSkyMap.SKYMAP_DATASET_TYPE_NAME,
storageClass="SkyMap",
dimensions=("skymap",),
)

Definition at line 65 of file match_tract_catalog.py.

◆ target_sharding_type

lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogConfig.target_sharding_type
static
Initial value:
= pexConfig.ChoiceField[str](
doc="The type of sharding (spatial splitting) for the target catalog",
allowed={"tract": "Tract-based shards", "none": "No sharding at all"},
default="tract",
)

Definition at line 183 of file match_tract_catalog.py.


The documentation for this class was generated from the following file: