Software for a “super-match” where the outcomes from the pairwise matching to Rubin data are
merged into a single catalogue from which an SED can be extracted. That super-match would be
the most likely combination of sources; hence this requires statistical development as well as
infrastructure for large-data handling.
@Tim-Naylor has started adding the extra documentation for this.
@Tim-Naylor and @Onoddil want to do a 3 way match to show supermatch for 3 different sources.
Have now taken HSC through the necessary pipeline process but there is only a small overlap in magnitude. This is sufficient
for the cross match and super match, so will have a true supermatch.