The Uchuu-UniverseMachine dataset: Galaxies in and around Clusters
Han Aung, Daisuke Nagai, Anatoly Klypin, Peter Behroozi, Mohamed H., Abdullah, Tomoaki Ishiyama, Francisco Prada, Enrique P\'erez, Javier L\'opez, Cacheiro, Jos\'e Ruedas

TL;DR
This paper introduces the Uchuu-UniverseMachine galaxy catalogues, derived from the Uchuu simulation, providing detailed galaxy properties and distributions up to redshift 10, useful for modeling large galaxy surveys.
Contribution
The paper presents a new, extensive galaxy catalogue from the Uchuu simulation applying UniverseMachine, including more massive galaxies and detailed properties than previous catalogues.
Findings
Galaxy number density profiles follow dark matter profiles.
Red galaxies have steeper density profiles than blue galaxies.
Quenched fraction increases towards cluster centers.
Abstract
We present the public data release of the Uchuu-UM galaxy catalogues by applying the UniverseMachine algorithm to assign galaxies to the dark matter halos in the Uchuu -body cosmological simulation. It includes a variety of baryonic properties for all galaxies down to with halos in a mass range of up to redshift . Uchuu-UM includes more than cluster-size halos in a volume of , reproducing observed stellar mass functions across the redshift range of , galaxy quenched fractions, and clustering statistics at low redshifts. Compared to the previous largest UM catalogue, the Uchuu-UM catalogue includes significantly more massive galaxies hosted by large-mass dark matter halos. Overall, the number density profile of galaxies in dark matter halos follows the dark matter…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Computational Physics and Python Applications
