Kavli Affiliate: David N. Spergel
| First 5 Authors: Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo
| Summary:
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS)
project was developed to combine cosmology with astrophysics through thousands
of cosmological hydrodynamic simulations and machine learning. CAMELS contains
4,233 cosmological simulations, 2,049 N-body and 2,184 state-of-the-art
hydrodynamic simulations that sample a vast volume in parameter space. In this
paper we present the CAMELS public data release, describing the characteristics
of the CAMELS simulations and a variety of data products generated from them,
including halo, subhalo, galaxy, and void catalogues, power spectra, bispectra,
Lyman-$alpha$ spectra, probability distribution functions, halo radial
profiles, and X-rays photon lists. We also release over one thousand catalogues
that contain billions of galaxies from CAMELS-SAM: a large collection of N-body
simulations that have been combined with the Santa Cruz Semi-Analytic Model. We
release all the data, comprising more than 350 terabytes and containing 143,922
snapshots, millions of halos, galaxies and summary statistics. We provide
further technical details on how to access, download, read, and process the
data at url{https://camels.readthedocs.io}.
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