Redshift estimates

The pair counts from the correlation measurements can be sampled and converted to a correlation function, measured in bins of redshifts. This can be achieved with the following class, which store measurements, jackknife samples, and estimates of the covariance matrix, as well as methods to save the data to files or plotting them:

CorrData(binning, data, samples)

Container for a correlation functino measured in bins of redshift.

The final redshift estimate (including optional bias mitigation) can be computed from a cross correlation function measurement (and optional autocorrelation measurements) with the following container. It provides similar functionality as the CorrData above:

RedshiftData(binning, data, samples)

Container for a clustering redshift estimate.

In case a data catalog has point redshifts attached, the following class can be used to compute a redshift histogram with similar utility methods as those above:

HistData(binning, data, samples)

Container for a redshift histogram.