SNCadenceMetric

class rubin_sim.maf.metrics.SNCadenceMetric(metric_name='SNCadenceMetric', mjd_col='observationStartMJD', ra_col='fieldRA', dec_col='fieldDec', filter_col='filter', m5_col='fiveSigmaDepth', exptime_col='visitExposureTime', night_col='night', obsid_col='observationId', nexp_col='numExposures', vistime_col='visitTime', coadd=True, lim_sn=None, **kwargs)

Bases: BaseMetric

Metric to estimate the redshift limit for faint supernovae (x1,color) = (-2.0,0.2)

Parameters:

liststr, optional

Name of the columns used to estimate the metric

coaddbool, optional

to make “coaddition” per night (uses snStacker) Default True

lim_snclass, optional

Reference data used to estimate redshift values (interpolation)

Methods Summary

run(data_slice[, slice_point])

Calculate metric values.

Methods Documentation

run(data_slice, slice_point=None)

Calculate metric values.

Parameters:

data_slicenumpy.recarray

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.