A simplified likelihood treating photometric contamination as a redshift-dependent Gaussian mean shift is strongly favored by Bayes factor over the BEAMS two-component model and improves cosmological constraints on the DES-Dovekie sample.
Lewis, Getdist: a python package for analysing monte carlo samples, Journal of Cosmology and Astroparticle Physics2025(2025) 025
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Modeling the probability distribution for cosmological analysis with photometrically classified samples
A simplified likelihood treating photometric contamination as a redshift-dependent Gaussian mean shift is strongly favored by Bayes factor over the BEAMS two-component model and improves cosmological constraints on the DES-Dovekie sample.