CalcSn#
- class lsst.analysis.tools.actions.vector.CalcSn(*args, **kw)#
Bases:
VectorActionCalculate the signal-to-noise ratio from a single flux vector.
Attributes Summary
Flux type (vector key) to calculate the S/N.
Suffix to add to fluxType to specify the uncertainty column (
str, default'Err')Methods Summary
__call__(data, **kwargs)Call self as a function.
Return the schema an
AnalysisActionexpects 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[ndarray[tuple[Any, ...], dtype[_ScalarT]]] | type[Scalar] | type[HealSparseMap] | type[Tensor] | type[Mapping]]]#
Return the schema an
AnalysisActionexpects to be present in the arguments supplied to the __call__ method.Returns#
- result
KeyedDataSchema The schema this action requires to be present when calling this action, keys are unformatted.
- result