CrowdingM5Metric

class rubin_sim.maf.metrics.CrowdingM5Metric(crowding_error=0.1, filtername='r', seeing_col='seeingFwhmGeom', metric_name=None, maps=['StellarDensityMap'], **kwargs)

Bases: BaseMetric

Return the magnitude at which the photometric error exceeds crowding_error threshold.

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.