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_slice
numpy.ndarray
, (N,) Values passed to metric by the slicer, which the metric will use to calculate metric values at each slice_point.
- slice_point
dict
or None Dictionary of slice_point metadata passed to each metric. E.g. the ra/dec of the healpix pixel or opsim fieldId.
- data_slice
- Returns: