The role of environment and AGN feedback in quenching local galaxies: comparing cosmological hydrodynamical simulations to the SDSS

We present an analysis of the quenching of local observed and simulated galaxies, including an investigation of the dependence of quiescence on both intrinsic and environmental parameters. We apply an advanced machine learning technique utilizing random forest classification to predict when galaxies...

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Bibliographic Details

Published in:	Monthly notices of the Royal Astronomical Society Vol. 528; no. 3; pp. 4891 - 4921
Main Authors:	Goubert, Paul H, Bluck, Asa F L, Piotrowska, Joanna M, Maiolino, Roberto
Format:	Journal Article
Language:	English
Published:	London Oxford University Press 01.03.2024
Subjects:	Active galactic nuclei Classification Galaxies Machine learning Parameter estimation Parameter uncertainty Quenching Satellite observation Simulation Sky surveys (astronomy) Star formation Stars & galaxies galaxies: formation galaxies: evolution galaxies: star formation
ISSN:	0035-8711, 1365-2966
Online Access:	Get full text
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