The CAMELS multifield data set: Learning the universe’s fundamental parameters with artificial intelligence
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
IOP
Abstract
We present the Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) Multifield Data set
(CMD), a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of
cosmic gas, dark matter, and stars from more than 2000 distinct simulated universes at several cosmic times. The
2D maps and 3D grids represent cosmic regions that span ∼100 million light-years and have been generated from
thousands of state-of-the-art hydrodynamic and gravity-only N-body simulations from the CAMELS project.
Designed to train machine-learning models, CMD is the largest data set of its kind containing more than 70 TB of
data. In this paper we describe CMD in detail and outline a few of its applications. We focus our attention on one
such task, parameter inference, formulating the problems we face as a challenge to the community.
Description
Keywords
CAMELS project, Cosmology and Astrophysics with Machine Learning Simulations, Hydrodynamic equations
Citation
Villaescusa-Navarro.F. et al. (2022). ApJS 259 61