class rubin_sim.maf.maf_contrib.SNMetric(m5_col='fiveSigmaDepth', seeing_col='finSeeing', sky_b_col='filtSkyBrightness', exp_t_col='visitExpTime', filter_col='filter', metric_name='SNMetric', filter=None, mag=None, **kwargs)

Bases: BaseMetric

Calculate the signal to noise metric in a given filter for an object of a given magnitude. We assume point source aperture photometry and assume that we do the measurement over the stack

Methods Summary

run(data_slice[, slice_point])

Calculate metric values.

Methods Documentation

run(data_slice, slice_point=None)

Calculate metric values.


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.

metricValue: int float or object

The metric value at each slice_point.