NumberUnassociatedDiaObjectsMetricTask¶

NumberUnassociatedDiaObjectsMetricTask computes the number of DIAObjects that are not updated when processing data through source association (as the ap_association.numUnassociatedDiaObjects metric). It requires task metadata as input. While the task can operate at image-level or coarser granularity, the current algorithm may double-count objects and should not be run on multiple visits.

Processing summary¶

NumberUnassociatedDiaObjectsMetricTask reads AssociationTask statistics from task metadata associated with one or more processed images. It uses these statistics to count the number of unassociated DIAObjects when processing those images.

Python API summary¶

from lsst.ap.association.metrics import NumberUnassociatedDiaObjectsMetricTask

classNumberUnassociatedDiaObjectsMetricTask(**kwargs): Task that computes the number of previously-known DIAObjects that do not have detected DIASources in an image, visit, etc...

attributeconfig: Access configuration fields and retargetable subtasks.

methodrun(metadata): Compute a measurement from science task metadata...

Butler datasets¶

Input datasets¶

metadata: The metadata of the top-level pipeline task (e.g., CharacterizeImageTask, DiaPipeTask) being instrumented.

Retargetable subtasks¶

No subtasks.

Configuration fields¶

connections¶

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

Configurations describing the connections of the PipelineTask to datatypes

metadataDimensions¶

Default: ['detector', 'instrument', 'visit']
Field type: str ListField

Override for the dimensions of the ‘metadata’ input, when instrumenting Tasks that don’t produce one metadata object per visit.

saveLogOutput¶

Default: True
Field type: bool Field

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

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