NumberDeblendedSourcesMetricTask¶

NumberDeblendedSourcesMetricTask computes the number of science sources deblended when processing data through single-frame processing (as the pipe_tasks.numDeblendedSciSources metric). It requires source catalogs (by default, a src dataset) as input, and operates at image-level granularity.

Processing summary¶

NumberDeblendedSourcesMetricTask reads source catalogs (src datasets, by default) and adds up the number of deblended top-level sources in those catalogs. Sky sources, and sources that are themselves the result of deblending, are not counted.

Python API summary¶

from lsst.pipe.tasks.metrics import NumberDeblendedSourcesMetricTask

classNumberDeblendedSourcesMetricTask(**kwargs): Task that computes the number of science sources that have been deblended...

attributeconfig: Access configuration fields and retargetable subtasks.

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

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

saveLogOutput¶

Default: True
Field type: bool Field

Flag to enable/disable saving of log output for a task, enabled by default.

saveMetadata¶

Default: True
Field type: bool Field

Flag to enable/disable metadata saving for a task, enabled by default.

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