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Uncovering dark matter density profiles in dwarf galaxies with graph neural networks

T Nguyen, S Mishra-Sharma, R Williams, L Necib - Physical Review D, 2023 - APS
Astrophysics paper astro-ph.CO Suggest

… We introduce a new method that leverages simulation-based inference and graph-based machine learning in order to infer the dark matter density profiles of dwarf …

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BibTeX

@misc{nguyen2022uncovering,
title={Uncovering dark matter density profiles in dwarf galaxies with graph neural networks},
author={Tri Nguyen and Siddharth Mishra-Sharma and Reuel Williams and Lina Necib},
year={2022},
eprint={2208.12825},
archivePrefix={arXiv},
primaryClass={id='astro-ph.CO' full_name='Cosmology and Nongalactic Astrophysics' is_active=True alt_name=None in_archive='astro-ph' is_general=False description='Phenomenology of early universe, cosmic microwave background, cosmological parameters, primordial element abundances, extragalactic distance scale, large-scale structure of the universe. Groups, superclusters, voids, intergalactic medium. Particle astrophysics dark energy, dark matter, baryogenesis, leptogenesis, inflationary models, reheating, monopoles, WIMPs, cosmic strings, primordial black holes, cosmological gravitational radiation'}
}

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