Prefer a chat interface with context about you and your work?
Hierarchical Bayesian inference of galaxy redshift distributions from photometric surveys
Accurately characterizing the redshift distributions of galaxies is essential for analysing deep photometric surveys and testing cosmological models. We present a technique to simultaneously infer redshift distributions and individual redshifts from photometric galaxy catalogues. Our model constructs a piecewise constant representation (effectively a histogram) of the distribution of galaxy types …