QSONumberCountsMetric

class rubin_sim.maf.metrics.QSONumberCountsMetric(lsst_filter, m5_col='fiveSigmaDepth', units='mag', extinction_cut=1.0, filter_col='filter', metric_name='QSONumberCountsMetric', qlf_module='Shen20', qlf_model='A', sed_model='Richards06', zmin=0.3, zmax=None, **kwargs)

Bases: BaseMetric

Calculate the number of quasars expected with SNR>=5 according to the Shen et al. (2020) QLF - model A in the redshift range zmin < z < zmax. The 5 sigma depths are obtained using the ExgalM5 metric. Only quasars fainter than the saturation magnitude are counted.

By default, zmin is 0.3 and zmax is the minimum between 6.7 and the redshift at which the Lyman break matches the effective wavelength of the band. For bands izy, zmax is 6.7. This default choice is to match Table 10.2 for i-band quasar counts in the LSST Science book.

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.