doScaleVariance = Field(dtype=bool, default=True, doc="Scale variance plane using empirical noise?")
scaleVariance = ConfigurableField(target=ScaleVarianceTask, doc="Variance rescaling")
detection = ConfigurableField(target=DynamicDetectionTask, doc="Source detection")
coaddName = Field(dtype=str, default="deep", doc="Name of coadd")
doInsertFakes = Field(dtype=bool, default=False,
doc="Run fake sources injection task")
insertFakes = ConfigurableField(target=BaseFakeSourcesTask,
doc="Injection of fake sources for testing "
"purposes (must be retargeted)")
hasFakes = Field(
dtype=bool,
default=False,
doc="Should be set to True if fake sources have been inserted into the input data."
)
def setDefaults(self):
super().setDefaults()
self.detection.thresholdType = "pixel_stdev"
self.detection.isotropicGrow = True
# Coadds are made from background-subtracted CCDs, so any background subtraction should be very basic
self.detection.reEstimateBackground = False
self.detection.background.useApprox = False
self.detection.background.binSize = 4096
self.detection.background.undersampleStyle = 'REDUCE_INTERP_ORDER'
self.detection.doTempWideBackground = True # Suppress large footprints that overwhelm the deblender
## @addtogroup LSST_task_documentation
## @{
## @page DetectCoaddSourcesTask
## @ref DetectCoaddSourcesTask_ "DetectCoaddSourcesTask"
## @copybrief DetectCoaddSourcesTask
## @}
class DetectCoaddSourcesTask(PipelineTask, CmdLineTask):
r
Definition at line 221 of file multiBand.py.
