The DESI $N$-body Simulation Project I: Testing the Robustness of Simulations for the DESI Dark Time Survey
Cameron Grove, Chia-Hsun Chuang, Ningombam Chandrachani Devi, Lehman, Garrison, Benjamin L'Huillier, Yu Feng, John Helly, C\'esar, Hern\'andez-Aguayo, Shadab Alam, Hanyu Zhang, Yu Yu, Shaun Cole, Daniel, Eisenstein, Peder Norberg, Risa Wechsler, David Brooks, Kyle Dawson, Martin

TL;DR
This study compares three N-body simulation codes at various resolutions to assess their accuracy and robustness for the DESI Dark Time Survey, confirming their suitability for large-scale cosmological analysis.
Contribution
It provides a comprehensive comparison of simulation codes and resolutions, establishing their reliability for DESI's large-scale structure analysis.
Findings
Systematic errors in halo clustering are below DESI statistical errors for scales >20 h^{-1} Mpc.
Simulations with 2.1×10^9 h^{-1} M_sun resolution are sufficiently converged.
Codes agree within 1% on matter power spectra for k ≤ 10 h Mpc^{-1}.
Abstract
Analysis of large galaxy surveys requires confidence in the robustness of numerical simulation methods. The simulations are used to construct mock galaxy catalogs to validate data analysis pipelines and identify potential systematics. We compare three -body simulation codes, ABACUS, GADGET, and SWIFT, to investigate the regimes in which their results agree. We run -body simulations at three different mass resolutions, , , and M, matching phases to reduce the noise within the comparisons. We find systematic errors in the halo clustering between different codes are smaller than the DESI statistical error for Mpc in the correlation function in redshift space. Through the resolution comparison we find that simulations run with a mass resolution of M are…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Scientific Research and Discoveries
