CrowdingMagUncertMetric

class rubin_sim.maf.metrics.CrowdingMagUncertMetric(rmag=20.0, seeing_col='seeingFwhmGeom', units='mag', metric_name=None, filtername='r', maps=['StellarDensityMap'], **kwargs)

Bases: BaseMetric

Given a stellar magnitude, calculate the mean uncertainty on the magnitude from crowding.

Methods Summary

run(data_slice[, slice_point])

Calculate metric values.

Methods Documentation

run(data_slice, slice_point=None)

Calculate metric values.

Parameters:
data_slicenumpy.ndarray, (N,)

Values passed to metric by the slicer, which the metric will use to calculate metric values at each slice_point.

slice_pointdict or None

Dictionary of slice_point metadata passed to each metric. E.g. the ra/dec of the healpix pixel or opsim fieldId.

Returns:
metricValue: int float or object

The metric value at each slice_point.