Given two dataframes from LSDB, projected bins, and other correlation arguments, call gundam correlation counting.
This may necessitate calling fortran code from corrgi (or adding a new method to gundam to accept np arrays directly), instead of going through gundam's existing python API, as they rely on astropy.Table and will calculate the bin projection for each call.
Corrgi is already able to compute the angular correlation counts, and it has been prepared to further wrap the redshift and projected functions. Closed by #8.
Given two dataframes from LSDB, projected bins, and other correlation arguments, call gundam correlation counting.
This may necessitate calling fortran code from corrgi (or adding a new method to gundam to accept np arrays directly), instead of going through gundam's existing python API, as they rely on
astropy.Table
and will calculate the bin projection for each call.