yaw.redshifts

This module implements a special containers that compute and describe redshift distributions. These containers provide methods for error and covariance estimation, plotting and computing mean redshifts.

True redshift distributions can be expressed through the HistData class and can be computed from the true_redshifts() method of BaseCatalog.

Clustering redshift estimates can be expressed through the RedshiftData class. Its different constructor methods, from_corrdata() and from_corrfuncs(), provide easy interfaces to compute the clustering redshifts and to mitigate the evolving galaxy bias, if the corresponding autocorrelation functions (e.g. of the reference sample) are known.

Classes

HistData(binning, data, samples, method[, ...])	Container for histogram data.
RedshiftData(binning, data, samples, method)	Container class object for redshift estimates.