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 granularity.

Processing summary¶

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

Python API summary¶

from lsst.ip.diffim.metrics import NumberSciSourcesMetricTask

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

attributeconfig: Access configuration fields and retargetable subtasks.

methodrun(sources): Count the number of primary 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.NumberSciSourcesMetricConfigConnections
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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