The CAMELS project: public data release. Villaescusa-Navarro, F., Genel, S., Anglés-Alcázar, D., Perez, L. A., Villanueva-Domingo, P., Wadekar, D., Shao, H., Mohammad, F. G., Hassan, S., Moser, E., Lau, E. T., Valle, L. F. M. P., Nicola, A., Thiele, L., Jo, Y., Philcox, O. H. E., Oppenheimer, B. D., Tillman, M., Hahn, C., Kaushal, N., Pisani, A., Gebhardt, M., Delgado, A. M., Caliendo, J., Kreisch, C., Wong, K. W. K., Coulton, W. R., Eickenberg, M., Parimbelli, G., Ni, Y., Steinwandel, U. P., La Torre, V., Dave, R., Battaglia, N., Nagai, D., Spergel, D. N., Hernquist, L., Burkhart, B., Narayanan, D., Wandelt, B., Somerville, R. S., Bryan, G. L., Viel, M., Li, Y., Irsic, V., Kraljic, K., & Vogelsberger, M. arXiv:2201.01300 [astro-ph], January, 2022. arXiv: 2201.01300
Paper abstract bibtex 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-\${\textbackslash}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 \textbackslashurl\https://camels.readthedocs.io\.
@article{villaescusa-navarro_camels_2022,
title = {The {CAMELS} project: public data release},
shorttitle = {The {CAMELS} project},
url = {http://arxiv.org/abs/2201.01300},
abstract = {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-\${\textbackslash}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 {\textbackslash}url\{https://camels.readthedocs.io\}.},
urldate = {2022-01-13},
journal = {arXiv:2201.01300 [astro-ph]},
author = {Villaescusa-Navarro, Francisco and Genel, Shy and Anglés-Alcázar, Daniel and Perez, Lucia A. and Villanueva-Domingo, Pablo and Wadekar, Digvijay and Shao, Helen and Mohammad, Faizan G. and Hassan, Sultan and Moser, Emily and Lau, Erwin T. and Valle, Luis Fernando Machado Poletti and Nicola, Andrina and Thiele, Leander and Jo, Yongseok and Philcox, Oliver H. E. and Oppenheimer, Benjamin D. and Tillman, Megan and Hahn, ChangHoon and Kaushal, Neerav and Pisani, Alice and Gebhardt, Matthew and Delgado, Ana Maria and Caliendo, Joyce and Kreisch, Christina and Wong, Kaze W. K. and Coulton, William R. and Eickenberg, Michael and Parimbelli, Gabriele and Ni, Yueying and Steinwandel, Ulrich P. and La Torre, Valentina and Dave, Romeel and Battaglia, Nicholas and Nagai, Daisuke and Spergel, David N. and Hernquist, Lars and Burkhart, Blakesley and Narayanan, Desika and Wandelt, Benjamin and Somerville, Rachel S. and Bryan, Greg L. and Viel, Matteo and Li, Yin and Irsic, Vid and Kraljic, Katarina and Vogelsberger, Mark},
month = jan,
year = {2022},
note = {arXiv: 2201.01300},
keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning},
}
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L.","Viel, M.","Li, Y.","Irsic, V.","Kraljic, K.","Vogelsberger, M."],"bibdata":{"bibtype":"article","type":"article","title":"The CAMELS project: public data release","shorttitle":"The CAMELS project","url":"http://arxiv.org/abs/2201.01300","abstract":"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-\\${\\textbackslash}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. 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