DetectCoaddSourcesTask

Python API summary

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

! @anchor DetectCoaddSourcesTask_...

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 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)

scaleVariance

Default
lsst.pipe.tasks.scaleVariance.ScaleVarianceTask
Field type
ConfigurableField
Variance rescaling

Configuration fields

coaddName

Default
'deep'
Field type
str Field
Name of coadd

detectionSchema

Data type
lsst.pipe.base.config.InitOutputDatasetConfig
Field type
ConfigField
Schema of the detection catalog

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?

exposure

Data type
lsst.pipe.base.config.InputDatasetConfig
Field type
ConfigField
Exposure on which detections are to be performed

outputBackgrounds

Data type
lsst.pipe.base.config.OutputDatasetConfig
Field type
ConfigField
Output Backgrounds used in detection

outputExposure

Data type
lsst.pipe.base.config.OutputDatasetConfig
Field type
ConfigField
Exposure post detection

outputSources

Data type
lsst.pipe.base.config.OutputDatasetConfig
Field type
ConfigField
Detected sources catalog

quantum

Data type
lsst.pipe.base.config.QuantumConfig
Field type
ConfigField
configuration for PipelineTask quantum