CalcSn

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

Bases: VectorAction

Calculate the signal-to-noise ratio from a single flux vector.

Attributes Summary

fluxType	Flux type (vector key) to calculate the S/N.
uncertaintySuffix	Suffix to add to fluxType to specify the uncertainty column (str, default 'Err')

Methods Summary

__call__(data, **kwargs)	Call self as a function.
getInputSchema()	Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.

Attributes Documentation

fluxType

Flux type (vector key) to calculate the S/N. (str, default '{band}_psfFlux')

uncertaintySuffix

Suffix to add to fluxType to specify the uncertainty column (str, default 'Err')

Methods Documentation

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

Call self as a function.

getInputSchema() → Iterable[tuple[str, type[numpy.ndarray[tuple[Any, ...], numpy.dtype[_ScalarT]]] | type[lsst.analysis.tools.interfaces._interfaces.Scalar] | type[healsparse.healSparseMap.HealSparseMap] | type[lsst.analysis.tools.interfaces._interfaces.Tensor] | type[Mapping]]]

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.