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The Cosmic Graph Optimal Information Extraction from Large-Scale Structure using Catalogues

TL Makinen, T Charnock, P Lemos… - arXiv preprint arXiv …, 2022 - arxiv.org
Astrophysics paper astro-ph.CO Suggest

… We conclude by showing how trained gIMNN summaries can be used as optimal compressors in simulation-based inference density estimation. We include supplementary descriptions …

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BibTeX

@misc{makinen2022cosmicgraphoptimalinformation,
title={The Cosmic Graph Optimal Information Extraction from Large-Scale Structure using Catalogues},
author={T. Lucas Makinen and Tom Charnock and Pablo Lemos and Natalia Porqueres and Alan Heavens and Benjamin D. Wandelt},
year={2022},
eprint={2207.05202},
archivePrefix={arXiv},
primaryClass={astro-ph.CO},
doi={https//doi.org/10.21105/astro.2207.05202},
url={https//arxiv.org/abs/2207.05202},
}

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