PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.
J., Almaini, O., Hartley, W
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Post-starburst galaxies at cosmic noon show very low radio detection rates and compact weak sources, consistent with short-lived low-luminosity AGN, while older quiescent galaxies exhibit stronger extended radio emission.
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Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS
PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.
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Tracing Radio AGN-Driven Quenching in Post-Starburst Galaxies at Cosmic Noon
Post-starburst galaxies at cosmic noon show very low radio detection rates and compact weak sources, consistent with short-lived low-luminosity AGN, while older quiescent galaxies exhibit stronger extended radio emission.