A stellar bar is detected in the gas-rich galaxy GN20 at z=4.055, showing that gas-rich disks can support rapid stellar bar formation in the early universe.
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5 Pith papers cite this work. Polarity classification is still indexing.
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75% of massive compact quiescent galaxies at z~0 require three-component photometric models (bulge + disk + envelope), versus only 7% of mass-matched control quiescent galaxies.
A Hubble-like sequence of galaxy morphologies exists by redshift 4, with low-mass galaxies as persistent star-forming disks and massive galaxies following either stable disk or rapid compaction-quenching paths.
The SFR-M_* relation develops a high-mass decline at low redshifts, driven mainly by morphological quenching from internal structure rather than environmental effects on star-forming galaxies.
Neo, a cGAN, super-resolves HSC images to HST-like quality and improves galaxy morphological parameter accuracy by factors of 2-10.
citing papers explorer
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A stellar bar hidden in an extreme gas-rich disk galaxy at z=4.055
A stellar bar is detected in the gas-rich galaxy GN20 at z=4.055, showing that gas-rich disks can support rapid stellar bar formation in the early universe.
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Small and Complex I: The Three Component Structure of $z \sim 0$ Massive Compact Quiescent Galaxies
75% of massive compact quiescent galaxies at z~0 require three-component photometric models (bulge + disk + envelope), versus only 7% of mass-matched control quiescent galaxies.
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The Hubble sequence in JWST CEERS from unbiased galaxy morphologies
A Hubble-like sequence of galaxy morphologies exists by redshift 4, with low-mass galaxies as persistent star-forming disks and massive galaxies following either stable disk or rapid compaction-quenching paths.
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The Evolution of the SFR-M_* relation at 0.1<z<4: Environmental and Morphological Dependencies
The SFR-M_* relation develops a high-mass decline at low redshifts, driven mainly by morphological quenching from internal structure rather than environmental effects on star-forming galaxies.
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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.