Simulation-based inference on the color distribution of z~2 massive galaxies yields a quenched fraction of 0.24 and a quenching timescale distribution with mode 97 Myr and median 182 Myr.
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8 Pith papers cite this work. Polarity classification is still indexing.
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JWST data show massive quiescent galaxies in high-redshift proto-clusters formed and quenched simultaneously, with AGN signatures, indicating environmental triggering of quenching.
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.
Resolved photometry of four high-redshift quiescent galaxies reveals negative color gradients that lower estimated stellar masses by 0.1 dex relative to slit measurements, reducing model tensions under an age-driven interpretation.
Multiple galaxy formation simulations show that low-mass quenched galaxies at z>3 are predominantly environmentally quenched satellites, often only temporarily so, and match JWST observations.
Massive quiescent galaxies at cosmic noon are compact and bulge-dominated with inside-out quenching, where inner regions formed stars ~0.5 Gyr earlier and quenched faster than outskirts.
Massive quiescent galaxies at high redshifts show elevated fractions in small-scale overdensities, indicating environmental quenching via galaxy interactions plays a major role.
New high-redshift quiescent galaxy sample shows size decreasing with redshift and wavelength, with stellar mass plus redshift sufficient to predict size but large residual scatter.
citing papers explorer
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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.