COSMOS2020: Exploring the dawn of quenching for massive galaxies at 3 < z < 5 with a new colour selection method
Katriona M. L. Gould, Gabriel Brammer, Francesco Valentino, Katherine, E. Whitaker, John R. Weaver, Claudia del P. Lagos, Francesca Rizzo,, Maximilien Franco, Bau-Ching Hseih, Olivier Ilbert, Shuowen Jin, Georgios, Magdis, Henry J. McCracken, Bahram Mobasher, Marko Shuntov

TL;DR
This study introduces a new rest-frame colour selection method based on a Gaussian Mixture Model to identify massive quiescent galaxies at redshifts 3 to 5, revealing early quenching in galaxy evolution.
Contribution
The paper presents a novel GMM-based colour selection technique that outperforms traditional methods at high redshift, enabling more accurate identification of quiescent galaxies at 3<z<5.
Findings
GMM/$NUVU-VJ$ method outperforms classical $UVJ$ selection at z>3.
Overlap between different colour selection methods is only 50-80%.
Number density of quiescent galaxies more than doubles from z~5 to z~3.
Abstract
We select and characterise a sample of massive (log(MM) quiescent galaxies (QGs) at in the latest COSMOS2020 catalogue. QGs are selected using a new rest-frame colour selection method, based on their probability of belonging to the quiescent group defined by a Gaussian Mixture Model (GMM) trained on rest-frame colours () of similarly massive galaxies at . We calculate the quiescent probability threshold above which a galaxy is classified as quiescent using simulated galaxies from the SHARK semi-analytical model. We find that at in SHARK, the GMM/ method out-performs classical rest-frame selection and is a viable alternative. We select galaxies as quiescent based on their probability in COSMOS2020 at , and compare the selected sample to both and selected samples. We find that although the…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Gamma-ray bursts and supernovae
