DESI DR2 Reference Mocks: Clustering results from UCHUU ELGs and QSOs

arXiv:2606.28559 · astro-ph.CO, astro-ph.GA · Submitted 2026-06-26 · Read on arXiv

R. Vaisakh, J. Lasker, R. Kehoe, A. Amalbert, N. Khan, E. Fernandez-Garcia, F. Prada, M. S. Wang, J. DeRose, S. Bailey, A. J. Ross, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, F. J. Castander, T. Claybaugh, K. S. Dawson, A. de la Macorra, S. Ferraro, J. E. Forero-Romero, E. Gaztanaga, Satya Gontcho A Gontcho, G. Gutierrez, C. Hahn, M. Ishak, R. Joyce, S. Juneau, T. Kisner, A. Kremin, C. Lamman, M. Landriau, M. E. Levi, M. Manera, R. Miquel, A. D. Myers, S. Nadathur, W. J. Percival, I. Perez-Rafols, G. Rossi, E. Sanchez, D. Schlegel, H. Seo, G. Tarle, B. A. Weaver, R. Zhou, H. Zou

astro-ph.CO, astro-ph.GA

Submitted: 2026-06-26

Comments: 30 pages, 18 figures

Code: https://github.com/cosmodesi/pycorr

License: http://creativecommons.org/licenses/by/4.0/

The gist: High-redshift galaxy clustering provides a powerful probe of the growth of structure, testing models of dark matter, dark energy, and galaxy formation during the epoch when the Universe was rapidly

Terminology

Abstract

High-redshift galaxy clustering provides a powerful probe of the growth of structure, testing models of dark matter, dark energy, and galaxy formation during the epoch when the Universe was rapidly evolving. Emission line galaxies (ELGs) and quasars (QSOs) are used as tracers of dark matter by the Dark Energy Spectroscopic Instrument (DESI) to probe this redshift regime. We present results from ELG and QSO mock catalogs created from the Uchuu N-body simulation and tuned to DESI Data Release 2 (DR2) clustering. Employing a modified subhalo abundance matching (SHAM) technique, we populate Uchuu halos and subhalos with QSOs between 0.8 < z < 2.1. For ELGs, we modify this method to select satellite galaxies with low velocities relative to their associated central halos, and populate a separate set of Uchuu halos and subhalos with ELGs between 0.8 < z < 1.6. In this paper, we reproduce the redshift evolution of number density and clustering statistics across the fitted range of scales. We also measure the large-scale clustering bias of both the data and mock samples. These results improve simulated lightcone construction from cosmological models and enhance our understanding of the galaxy-halo connection.

Sources

Related papers