JWST observations of absorption lines in z~3 galaxies show inclination-dependent gas flows, with face-on systems exhibiting stronger outflows and inclined systems more inflows.
J., Almaini, O., Hartley, W
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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.
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.
Reports a catalog of 519 cluster candidates (74 at z>1.5) from VIDEO fields via AMICO and WaZP, shows red-sequence galaxies consistent with passive evolution since high redshift, and evaluates MOONRISE detection strategies up to z~1.7.
citing papers explorer
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Unprecedented Constraints on Gas Flows at High Redshift Using Deep JWST/NIRSpec Observations from the LyC22, EXCELS, and AURORA Surveys
JWST observations of absorption lines in z~3 galaxies show inclination-dependent gas flows, with face-on systems exhibiting stronger outflows and inclined systems more inflows.
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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.
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Galaxy clusters in the VIDEO fields: detection and characterisation in the context of MOONRISE
Reports a catalog of 519 cluster candidates (74 at z>1.5) from VIDEO fields via AMICO and WaZP, shows red-sequence galaxies consistent with passive evolution since high redshift, and evaluates MOONRISE detection strategies up to z~1.7.