DetectCoaddSourcesTask¶
Python API summary¶
from lsst.pipe.tasks.multiBand import DetectCoaddSourcesTask
-
class
DetectCoaddSourcesTask
(schema=None, **kwargs) Detect sources on a single filter coadd
...
- attributeconfig
Access configuration fields and retargetable subtasks.
See also
See the DetectCoaddSourcesTask
API reference for complete details.
Retargetable subtasks¶
detection¶
Source detection
scaleVariance¶
- Default
lsst.meas.algorithms.scaleVariance.ScaleVarianceTask
- Field type
Variance rescaling
Configuration fields¶
coaddName¶
Name of coadd
connections¶
- Data type
lsst.pipe.base.config.DetectCoaddSourcesConfigConnections
- Field type
Configurations describing the connections of the PipelineTask to datatypes
doScaleVariance¶
Scale variance plane using empirical noise?
forceExactBinning¶
Check that the background bin size evenly divides the patch inner region, and crop the outer region to an integer number of bins.
hasFakes¶
Should be set to True if fake sources have been inserted into the input data.
idGenerator¶
- Data type
lsst.meas.base._id_generator.SkyMapIdGeneratorConfig
- Field type
Configuration for how to generate catalog IDs from data IDs.
saveLogOutput¶
Flag to enable/disable saving of log output for a task, enabled by default.
useCellCoadds¶
Whether to use cell coadds?
writeEmptyBackgrounds¶
If true, save a placeholder background with NaNs in all bins (but the right geometry) when there are no pixels to compute a background from. This can be useful if a later task combines backgrounds from multiple patches as input.
writeOnlyBackgrounds¶
If true, only save the background models.