The CAMELS project: public data release

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-α 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{this https URL}.

The CAMELS project: public data release, Francisco Villaescusa-NavarroShy GenelDaniel Anglés-AlcázarLucia A. PerezPablo Villanueva-DomingoDigvijay WadekarHelen ShaoFaizan G. MohammadSultan HassanEmily MoserErwin T. LauLuis Fernando Machado Poletti ValleAndrina NicolaLeander ThieleYongseok JoOliver H. E. PhilcoxBenjamin D. OppenheimerMegan TillmanChangHoon HahnNeerav KaushalAlice PisaniMatthew GebhardtAna Maria DelgadoJoyce CaliendoChristina KreischKaze W.K. WongWilliam R. CoultonMichael EickenbergGabriele ParimbelliYueying NiUlrich P. SteinwandelValentina La TorreRomeel DaveNicholas BattagliaDaisuke NagaiDavid N. SpergelLars HernquistBlakesley BurkhartDesika NarayananBenjamin WandeltRachel S. SomervilleGreg L. BryanMatteo VielYin LiVid IrsicKatarina KraljicMark Vogelsberger, More than 350 Tb of data from thousands of simulations publicly available at this https URL, arXiv:2201.01300