A JWST census detects neutral ISM absorption in 76 of 309 galaxies at 0.6<z<4 and outflows in 26, indicating AGN-driven neutral outflows dominate in quiescent systems at cosmic noon.
G., F \"o rster Schreiber N
5 Pith papers cite this work. Polarity classification is still indexing.
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The size-mass relation for star-forming galaxies at 0.6 < z ≤ 4 shows a gradient in slope with rest-frame wavelength, crossing at ~10^9.5 solar masses proposed as the transition between diffuse and compact morphologies.
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.
Neo, a cGAN, super-resolves HSC images to HST-like quality and improves galaxy morphological parameter accuracy by factors of 2-10.
COLIBRE simulations match observed galaxy stellar mass functions, star formation rates, and quenched fractions from z=17 to z=0, including JWST massive quiescent galaxies at high redshift.
citing papers explorer
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A Census of Na D-traced neutral ISM and outflows at $0.6<z<4$
A JWST census detects neutral ISM absorption in 76 of 309 galaxies at 0.6<z<4 and outflows in 26, indicating AGN-driven neutral outflows dominate in quiescent systems at cosmic noon.
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CANUCS/Technicolor Data Release 2: A Catalogue of Galaxy Structural Parameters in up to 29 HST+JWST bands and a Multi-Wavelength Exploration of the Galaxy Size-Mass Relation at $0.6 < z \leq 4$
The size-mass relation for star-forming galaxies at 0.6 < z ≤ 4 shows a gradient in slope with rest-frame wavelength, crossing at ~10^9.5 solar masses proposed as the transition between diffuse and compact morphologies.
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Morphological and Star Formation Properties of Cosmic Noon Massive Quiescent Galaxies
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.
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Photometric Super-Resolution for Improving Galaxy Morphological Measurements using Conditional Generative Adversarial Networks
Neo, a cGAN, super-resolves HSC images to HST-like quality and improves galaxy morphological parameter accuracy by factors of 2-10.