A CNN-GNN fusion model estimates triaxial cluster geometry from 2D X-ray, tSZ, and galaxy data in MillenniumTNG simulations, improving over spherical assumptions by 30% with R²=0.85 on major axis length and 71% accuracy on line-of-sight prolate orientations.
F., & Kragh Jespersen, C
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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.
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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning
A CNN-GNN fusion model estimates triaxial cluster geometry from 2D X-ray, tSZ, and galaxy data in MillenniumTNG simulations, improving over spherical assumptions by 30% with R²=0.85 on major axis length and 71% accuracy on line-of-sight prolate orientations.
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DeepDive: Simultaneous Formation of Massive Quiescent Galaxies in High-Redshift Galaxy Proto-clusters
JWST data show massive quiescent galaxies in high-redshift proto-clusters formed and quenched simultaneously, with AGN signatures, indicating environmental triggering of quenching.