TY  - JOUR
AU  - Villaescusa-Navarro, F. et al
AU  - Villanueva-Domingo, P.
PY  - 2023
DA  - 2023//
TI  - The CAMELS Project: Public Data Release
T2  - Astrophys. J. Suppl. Ser.
JO  - Astrophysical Journal Supplement Series
SP  - 54 - 14pp
VL  - 265
IS  - 2
PB  - IOP Publishing Ltd
KW  - Cosmology
KW  - Hydrodynamical simulations
KW  - Astrostatistics
KW  - Galaxy formation
AB  - 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 4233 cosmological simulations, 2049 N-body simulations, and 2184 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 catalogs, power spectra, bispectra, Lya spectra, probability distribution functions, halo radial profiles, and X-rays photon lists. We also release over 1000 catalogs that contain billions of galaxies from CAMELS-SAM: a large collection of N-body simulations that have been combined with the Santa Cruz semianalytic 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 .
SN  - 0067-0049
UR  - https://arxiv.org/abs/2201.01300
UR  - https://doi.org/10.3847/1538-4365/acbf47
DO  - 10.3847/1538-4365/acbf47
LA  - English
N1  - WOS:000964876300001
ID  - Villaescusa-Navarro+Villanueva-Domingo2023
ER  -