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...

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

hasFakes¶

Default: False
Field type: bool Field

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

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

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