Anisotropic quenching is detected at the highest redshift yet and linked to preprocessing dominating over intrahalo effects by ~20% along the major axis in a delay-then-rapid quenching model informed by cluster accretion histories.
Measuring the Resolved Star Formation Main Sequence in TNG100: Fitting Technique Matters
3 Pith papers cite this work. Polarity classification is still indexing.
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SHAMe-SF modeling of small-scale DESI ELG clustering delivers 6% precision on σ8 and Ωm h², matching full DR1 results with 1% volume.
Machine-learning analysis of TNG100 galaxies finds global properties (black-hole mass, halo mass) control quenching while local stellar density controls ongoing star formation.
citing papers explorer
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Anisotropic quenching beyond $z=1$ and its implications for preprocessing around high-redshift galaxy clusters
Anisotropic quenching is detected at the highest redshift yet and linked to preprocessing dominating over intrahalo effects by ~20% along the major axis in a delay-then-rapid quenching model informed by cluster accretion histories.
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Understanding the regulation of star formation within TNG100 galaxies on kpc-scales using machine learning I: Global versus local
Machine-learning analysis of TNG100 galaxies finds global properties (black-hole mass, halo mass) control quenching while local stellar density controls ongoing star formation.