GoodDiaSourceSelector

class lsst.analysis.tools.actions.vector.GoodDiaSourceSelector(*args, **kw)

Bases: FlagSelector

Selects good DIA sources from diaSourceTables.

Attributes Summary

selectWhenFalse	Names of the flag columns to select on when False (List, default [])
selectWhenTrue	Names of the flag columns to select on when True (List, default [])

Methods Summary

__call__(data, **kwargs)	Select on the given flags
drpContext()
getInputSchema()	Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.
setDefaults()	Subclass hook for computing defaults.

Attributes Documentation

selectWhenFalse

Names of the flag columns to select on when False (List, default [])

selectWhenTrue

Names of the flag columns to select on when True (List, default [])

Methods Documentation

__call__(data: MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap | Tensor], **kwargs) → ndarray[Any, dtype[ScalarType]]

Select on the given flags

Parameters:

dataKeyedData

Returns:

resultVector

A mask of the objects that satisfy the given flag cuts.

Notes

Uses the columns in selectWhenFalse and selectWhenTrue to decide which columns to select on in each circumstance.

drpContext()

getInputSchema() → Tensor]]]

Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.

Returns:

resultKeyedDataSchema

The schema this action requires to be present when calling this action, keys are unformatted.

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.