MeanCampaignFrequencyMetric

class rubin_sim.maf.metrics.MeanCampaignFrequencyMetric(mjd_col='observationStartMJD', exp_time_col='visitExposureTime', min_exp_time=20, night_col='night', **kwargs)

Bases: BaseMetric

Calculate the mean separation between nights, within a season - then the mean over the campaign. Calculate per season, to avoid any influence from season gaps.

Methods Summary

run(data_slice, slice_point)

Calculate metric values.

Methods Documentation

run(data_slice, slice_point)

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.