1. The Uchuu-universe machine data set: galaxies in and around clusters
- Author
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Han Aung, Daisuke Nagai, Anatoly Klypin, Peter Behroozi, Mohamed H Abdullah, Tomoaki Ishiyama, Francisco Prada, Enrique Pérez, Javier López Cacheiro, José Ruedas, and Ministerio de Ciencia e Innovación (España)
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Methods: numerical ,Large-scale structure of Universe ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,Dark matter ,FOS: Physical sciences ,Astronomy and Astrophysics ,Galaxies: clusters: general ,Cosmology: theory ,Astrophysics - Astrophysics of Galaxies ,Astrophysics - Cosmology and Nongalactic Astrophysics - 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 haloes in the Uchuu N-body cosmological simulation. It includes a variety of baryonic properties for all galaxies down to ∼5 × 108 M⊙ with haloes in a mass range of 1010 < Mhalo/M⊙ < 5 × 1015 up to redshift z = 10. Uchuu-UM includes more than 104 cluster-size haloes in a volume of 8(h−1Gpc)3, reproducing observed stellar mass functions across the redshift range of z = 0−7, 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 haloes. Overall, the number density profile of galaxies in dark matter haloes follows the dark matter profile, with the profile becoming steeper around the splashback radius and flattening at larger radii. The number density profile of galaxies tends to be steeper for larger stellar masses and depends on the colour of galaxies, with red galaxies having steeper slopes at all radii than blue galaxies. The quenched fraction exhibits a strong dependence on the stellar mass and increases towards the inner regions of clusters. The publicly available Uchuu-UM galaxy catalogue presented here can serve to model ongoing and upcoming large galaxy surveys. © 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society., DN and HA acknowledge support from Yale University and the Yale Center for Research Computing facilities and staff. HA also acknowledges support from the Zuckerman Postdoctoral Scholars Program while completing this work. T.I. has been supported by IAAR Research Support Program at Chiba University Japan, MEXT/JSPS KAKENHI (grant numbers JP19KK0344, JP21F51024, and JP21H01122), MEXT as ‘Program for Promoting Researches on the Supercomputer Fugaku’ (JPMXP1020200109), and JICFuS. FP, AK, EP, JR thank the support of the Spanish Ministry of Science and Innovation funding grant PGC2018-101931-B-I00., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001131-S).
- Published
- 2022
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