DetectCoaddSourcesTask

Python API summary

from lsst.pipe.tasks.multiBand import DetectCoaddSourcesTask
classDetectCoaddSourcesTask(schema=None, **kwargs)

Detect sources on a single filter coadd...

attributeconfig

Access configuration fields and retargetable subtasks.

methodrun(exposure, idFactory, expId)

Run detection on an exposure...

See also

See the DetectCoaddSourcesTask API reference for complete details.

Retargetable subtasks

detection

Default

lsst.meas.algorithms.dynamicDetection.DynamicDetectionTask

Field type

ConfigurableField

Source detection

insertFakes

Default

lsst.pipe.tasks.fakes.BaseFakeSourcesTask

Field type

ConfigurableField

Injection of fake sources for testing purposes (must be retargeted) Deprecated: insertFakes is no longer supported. This config will be removed after v24.

scaleVariance

Default

lsst.meas.algorithms.scaleVariance.ScaleVarianceTask

Field type

ConfigurableField

Variance rescaling

Configuration fields

coaddName

Default
'deep'
Field type

str Field

Name of coadd

connections

Data type

lsst.pipe.base.config.Connections

Field type

ConfigField

Configurations describing the connections of the PipelineTask to datatypes

doInsertFakes

Default
False
Field type

bool Field

Run fake sources injection task Deprecated: doInsertFakes is no longer supported. This config will be removed after v24.

doScaleVariance

Default
True
Field type

bool Field

Scale variance plane using empirical noise?

hasFakes

Default
False
Field type

bool Field

Should be set to True if fake sources have been inserted into the input data.

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.