SnSelector¶
- class lsst.analysis.tools.actions.vector.SnSelector(*args, **kw)¶
- Bases: - SelectorBase- Selects points that have S/N > threshold in the given flux type. - Attributes Summary - The bands to apply the signal to noise cut in.Takes precedence if bands passed to call ( - List, default- [])- Flux type to calculate the S/N in. - Maximum S/N to include in the sample (to allow S/N ranges). - Key to use when populating plot info, ignored if empty string ( - str, default- '')- The S/N threshold to remove sources with. - Suffix to add to fluxType to specify uncertainty column ( - str, default- 'Err')- Methods Summary - __call__(data, **kwargs)- Makes a mask of objects that have S/N greater than self.threshold in self.fluxType - Return the schema an - AnalysisActionexpects to be present in the arguments supplied to the __call__ method.- Attributes Documentation - bands¶
- The bands to apply the signal to noise cut in.Takes precedence if bands passed to call ( - List, default- [])
 - Methods Documentation - __call__(data: MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap | Tensor], **kwargs) ndarray[Any, dtype[ScalarType]]¶
- Makes a mask of objects that have S/N greater than self.threshold in self.fluxType - Parameters:
- dataKeyedData
- The data to perform the selection on. 
 
- data
- Returns:
- resultVector
- A mask of the objects that satisfy the given S/N cut. 
 
- result
 
 - getInputSchema() Tensor]]]¶
- Return the schema an - AnalysisActionexpects 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. 
 
- result