power_law_dndh¶

rubin_sim.maf.metrics.power_law_dndh(hvalues, hindex=0.33, no=None, ho=None, **kwargs)¶

Power law distribution of objects.

Parameters:

hvaluesnumpy.ndarray: The H values corresponding to each metricValue (must be the same length). The hvalues are expected to be evenly spaced.
hindexfloat, optional: The power-law index expected for the H value distribution. Default is 0.33 (dN/dH = 10^(hindex * H) ).
nofloat, optional
ho: `float`, optional: If no and ho are specified, this provides an anchor for the power law distribution, so that the expected number no of objects at ho is returned. Do not need to be set if just doing comparative weighting.

Returns: