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
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class
NumberUnassociatedDiaObjectsMetricTask Task that computes the number of previously-known DIAObjects that do not have detected DIASources in an image, visit, etc
...
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attribute
config Access configuration fields and retargetable subtasks.
See also
See the NumberUnassociatedDiaObjectsMetricTask API reference for complete details.
Butler datasets¶
Input datasets¶
metadata- The metadata of the top-level command-line task (e.g.,
ProcessCcdTask,ApPipeTask) being instrumented. Because the metadata produced by each top-level task is a different Butler dataset type, this dataset must be explicitly configured when runningNumberUnassociatedDiaObjectsMetricTaskor aMetricsControllerTaskthat contains it.
Retargetable subtasks¶
No subtasks.
Configuration fields¶
connections¶
- Data type
lsst.pipe.base.config.Connections- Field type
ConfigField