In my project to match GALEX and SDSS sources, I am modeling the
distribution of all close coincidences (on the sky) between GALEX and
SDSS catalog entries as a sum of two distributions, one for false
matches and one for true matches. These two distributions are
differently constrained; for example in the false match distribution
the GALEX and SDSS properties should be separable
, and the
angular distribution should be consistent with little or no
clustering.
Unfortunately, as I mentioned a few days ago, the true match distribution has the freedom, in what I am currently doing, to mimic the false distribution (though the false match distribution does not have the freedom to mimic the true distribution). I experimented with hacky ways to deal with this today, and decided that I must figure out and take a principled approach.
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