NumberSciSourcesMetricTask¶

NumberSciSourcesMetricTask computes the number of science sources created when processing data through image differencing (as the ip_diffim.numSciSources metric). It requires source catalogs (a src dataset) as input, and can operate at image-level or coarser granularity.

Processing summary¶

FractionDiaSourcesToSciSourcesMetricTask reads source catalogs (src datasets) and adds up the number of sources in those catalogs.

Python API summary¶

from lsst.ip.diffim.metrics import NumberSciSourcesMetricTask

classNumberSciSourcesMetricTask(**kwargs): Task that computes the number of cataloged science sources...

attributeconfig: Access configuration fields and retargetable subtasks.

methodrun(sources): Count the number of science sources...

See also

See the NumberSciSourcesMetricTask API reference for complete details.

Butler datasets¶

Input datasets¶

sources: The catalog type for science sources (default: src).

Retargetable subtasks¶

No subtasks.

Configuration fields¶

connections¶

Data type: lsst.pipe.base.config.Connections
Field type: ConfigField

Configurations describing the connections of the PipelineTask to datatypes