MaxGapMetric

class rubin_sim.maf.metrics.MaxGapMetric(mjd_col='observationStartMJD', **kwargs)

Bases: BaseMetric

Find the maximum gap (in days) in between successive observations.

Useful for making sure there is an image within the last year that would make a good template image.

Parameters:

mjd_colstr, opt

The column name of the night of each observation.

Returns:

maxGapfloat

The maximum gap (in days) between visits.

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.