StellarLocusFitAction¶

class lsst.analysis.tools.actions.keyedData.StellarLocusFitAction(*args, **kw)¶

Bases: KeyedDataAction

Determine Stellar Locus fit parameters from given input Vectors.

Attributes Summary

The parameters to use for the stellar locus fit.

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.
`getOutputSchema`()	Return the schema an `AnalysisAction` will produce, if the `__call__` method returns `KeyedData`, otherwise this may return None.

Attributes Documentation

stellarLocusFitDict¶: The parameters to use for the stellar locus fit. The default parameters are examples and are not useful for any of the fits. The dict needs to contain xMin/xMax/yMin/yMax which are the limits of the initial box for fitting the stellar locus, mHW and bHW are the initial intercept and gradient for the fitting. (Dict, default {'xMin': 0.1, 'xMax': 0.2, 'yMin': 0.1, 'yMax': 0.2, 'mHW': 0.5, 'bHW': 0.0})

Methods Documentation

__call__(data: MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap], **kwargs) → MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap]¶: Call self as a function.

getInputSchema() → HealSparseMap]]]¶

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.

getOutputSchema() → HealSparseMap]]]¶

Return the schema an AnalysisAction will produce, if the __call__ method returns KeyedData, otherwise this may return None.

Returns:

resultKeyedDataSchema or None: The schema this action will produce when returning from call. This will be unformatted if any templates are present. Should return None if action does not return KeyedData.