RefMatchTask¶
RefMatchTask
matches a source catalog with objects from a reference
catalog.
Processing summary¶
RefMatchTask
runs this sequence of operations:
- Find position reference stars that overlap the exposure.
- Match input source catalog to the position reference stars.
- Return statistics on quality of match.
Python API summary¶
from lsst.meas.astrom.ref_match import RefMatchTask
-
class
(refObjLoader, schema=None, **kwargs)RefMatchTask
Match an input source catalog with objects from a reference catalog
...
-
attribute
config
Access configuration fields and retargetable subtasks.
See also
See the RefMatchTask
API reference for complete details.
Retargetable subtasks¶
matcher¶
- Default
lsst.meas.astrom.matchOptimisticB.matchOptimisticBContinued.MatchOptimisticBTask
- Field type
ConfigurableField
reference object/source matcher
referenceSelection¶
- Default
lsst.meas.algorithms.sourceSelector.ReferenceSourceSelectorTask
- Field type
ConfigurableField
Selection of reference sources
sourceSelection¶
- Default
lsst.meas.algorithms.sourceSelector.ScienceSourceSelectorTask
- Field type
ConfigurableField
Selection of science sources
Configuration fields¶
matchDistanceSigma¶
- Default
2
- Field type
float
RangeField
- Range
- [0,inf)
the maximum match distance is set to mean_match_distance + matchDistanceSigma*std_dev_match_distance; ignored if not fitting a WCS