DetectDcrCoaddSources

Python API summary

from lsst.pipe.tasks.dcrMultiBand import DetectDcrCoaddSources
classDetectDcrCoaddSources(schema=None, **kwargs)

Detect sources on a DCR coadd...

attributeconfig

Access configuration fields and retargetable subtasks.

methodrun(exposure, idFactory, expId)

! @brief Run detection on an exposure...

methodrunDataRef(patchRef)

! @brief Run detection on a coadd...

See also

See the DetectDcrCoaddSources 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)

scaleVariance

Default
lsst.pipe.tasks.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

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.

saveMetadata

Default
True
Field type
bool Field
Flag to enable/disable metadata saving for a task, enabled by default.