DESI DR2 reference mocks: clustering results from Uchuu-BGS and LRG
E. Fern\'andez-Garc\'ia, F. Prada, A. Smith, J. DeRose, A. J. Ross, S. Bailey, M. S. Wang, Z. Ding, C. Guandalin, C. Lamman, R. Vaisakh, R. Kehoe, J. Lasker, T. Ishiyama, S. M. Moore, S. Cole, M. Siudek, A. Amalbert, A. Salcedo, A. Hearin, B. Joachimi, A. Rocher, S. Saito

TL;DR
This paper presents the creation of high-fidelity mock galaxy catalogues based on the Uchuu simulation, accurately reproducing clustering and galaxy properties for DESI, aiding in cosmological analyses.
Contribution
The work introduces a novel application of the SHAM technique to the Uchuu simulation for generating realistic galaxy mocks up to redshift 1.1 for DESI.
Findings
Mocks reproduce observed clustering within 5-10% accuracy.
Successfully captured stellar mass and luminosity dependence of clustering.
Provided robust tools for DESI lightcone generation.
Abstract
The aim of this work is to construct mock galaxy catalogues that accurately reproduce the redshift evolution of galaxy number density, clustering statistics, and baryonic properties, such as stellar mass for luminous red galaxies (LRGs) and absolute magnitude in the -band for the bright galaxy sample (BGS), based on the first three years of observations from the Dark Energy Spectroscopic Instrument (DESI). To achieve this, we applied the subhalo abundance matching (SHAM) technique to the Uchuu -body simulation, which follows the evolution of 2.1 trillion particles within a volume of , assuming a Planck base-CDM cosmology. Using SHAM, we populated Uchuu subhalos with LRGs and BGS-BRIGHT () galaxies up to redshift , assigning stellar masses to LRGs and luminosities to BGS galaxies (up to ). Furthermore, we…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Seismic Imaging and Inversion Techniques · Cryospheric studies and observations
