Papers › The Quijote simulations

The Quijote simulations

11 Sep 2019arXiv:1909.05273links table onlyarchive 2025-07-28

Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh Kodi Ramanah, Tom Charnock, Elena Giusarma, Yin Li, Erwan Allys, Antoine Brochard, Cora Uhlemann, Chi-Ting Chiang, Siyu He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D. Kreisch, Andrina Nicola, Justin Alsing, Roman Scoccimarro, Licia Verde, Matteo Viel, Shirley Ho, Stephane Mallat, Benjamin Wandelt, David N. Spergel

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The Quijote simulations are a set of 44,100 full N-body simulations spanning more than 7,000 cosmological models in the {Ωₘ, Ω_b, h, nₛ, σ₈, M_ν, w } hyperplane. At a single redshift the simulations contain more than 8.5 trillions of particles over a combined volume of 44,100 (h⁻¹Gpc)³; each simulation follow the evolution of 256³, 512³ or 1024³ particles in a box of 1 h⁻¹Gpc length. Billions of dark matter halos and cosmic voids have been identified in the simulations, whose runs required more than 35 million core hours. The Quijote simulations have been designed for two main purposes: 1) to quantify the information content on cosmological observables, and 2) to provide enough data to train machine learning algorithms. In this paper we describe the simulations and show a few of their applications. We also release the Petabyte of data generated, comprising hundreds of thousands of simulation snapshots at multiple redshifts, halo and void catalogs, together with millions of summary statistics such as power spectra, bispectra, correlation functions, marked power spectra, and estimated probability density functions.

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