DetectCoaddSourcesConfig#

class lsst.pipe.tasks.multiBand.DetectCoaddSourcesConfig(*args, **kw)#

Bases: PipelineTaskConfig

Configuration parameters for the DetectCoaddSourcesTask

Attributes Summary

`coaddName`	Name of coadd (`str`, default `'deep'`)
`connections`	Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
`detection`	Source detection (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.dynamicDetection.DynamicDetectionConfig'>`)
`doScaleVariance`	Scale variance plane using empirical noise? (`bool`, default `True`)
`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`	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.
`scaleVariance`	Variance rescaling (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.scaleVariance.ScaleVarianceConfig'>`)
`useCellCoadds`	Whether to use cell coadds? (`bool`, default `False`)
`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.
`writeOnlyBackgrounds`	If true, only save the background models.

Methods Summary

setDefaults()

Subclass hook for computing defaults.

Attributes Documentation

coaddName#: Name of coadd (str, default 'deep')

connections: pexConfig.ConfigField#: Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.

detection#: Source detection (ConfigurableInstance, default <class 'lsst.meas.algorithms.dynamicDetection.DynamicDetectionConfig'>)

doScaleVariance#: Scale variance plane using empirical noise? (bool, default True)

forceExactBinning#: Check that the background bin size evenly divides the patch inner region, and crop the outer region to an integer number of bins. (bool, default False)

hasFakes#: Should be set to True if fake sources have been inserted into the input data. (bool, default False)

idGenerator#: Configuration for how to generate catalog IDs from data IDs. (SkyMapIdGeneratorConfig, default <class 'lsst.meas.base._id_generator.SkyMapIdGeneratorConfig'>)

saveLogOutput#: Flag to enable/disable saving of log output for a task, enabled by default. (bool, default True)

scaleVariance#: Variance rescaling (ConfigurableInstance, default <class 'lsst.meas.algorithms.scaleVariance.ScaleVarianceConfig'>)

useCellCoadds#: Whether to use cell coadds? (bool, default False)

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. (bool, default True)

writeOnlyBackgrounds#: If true, only save the background models. (bool, default False)

Methods Documentation

setDefaults()#: Subclass hook for computing defaults.

Notes#

Derived Config classes that must compute defaults rather than using the Field instances’s defaults should do so here. To correctly use inherited defaults, implementations of setDefaults must call their base class’s setDefaults.