Machine learning uncovers new cosmological information
Cosmology and Nongalactic Astrophysics
2018-10-30 v1
Abstract
Large cosmological datasets have been probing the properties of our universe and constraining the parameters of dark matter and dark energy with increasing precision. Deep learning techniques have shown potential to be smarter, and to greatly outperform human-designed statistics.
Keywords
Cite
@article{arxiv.1810.12220,
title = {Machine learning uncovers new cosmological information},
author = {Zoltán Haiman},
journal= {arXiv preprint arXiv:1810.12220},
year = {2018}
}
Comments
A lightly edited version of this submission appeared as an invited News & Views article in the October 29 issue of Nature Astronomy