Direct discovery · Physics · Computer science

CAMELS builds a simulation suite for machine-learning cosmology

CAMELS builds a simulation suite for machine-learning cosmology.

Summary

The arXiv paper presents CAMELS, a suite of 4,233 cosmological simulations designed to train machine-learning algorithms. It varies cosmological and astrophysical parameters and illustrates uses including parameter estimation, symbolic regression, generative modelling, dimensionality reduction and anomaly detection.

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