Conditional normalising flows trained on mock multi-band images recover the redshift distribution of unresolved galaxies with sub-percent accuracy in mean and width, under idealized simulation-matched conditions.
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Probabilistic redshift estimation of unresolved galaxies from multi-band background light maps
Conditional normalising flows trained on mock multi-band images recover the redshift distribution of unresolved galaxies with sub-percent accuracy in mean and width, under idealized simulation-matched conditions.