62 citations · 117 across the 21 of their papers we have counts for
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astro-ph.IM2026
Deep Spectroscopy with DESI for Photometric Redshift Training and Calibration
Biprateep Dey, Jeffrey A. Newman, Tianqing Zhang +62
Deep spectroscopic samples can be used to improve photometric redshift (photo-) estimates and reduce uncertainties on redshift distributions. Such improvements can increase the…
astro-ph.IM2026
Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS
Ashod Khederlarian, Brett H. Andrews, Jeffrey A. Newman +2
Photometric redshifts (photo-'s) will be crucial for studies of galaxy evolution, large-scale structure, and transients with the Nancy Grace Roman Space Telescope. Deep learning…