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Discovering the building blocks of dark matter halo density profiles with neural networks. (arXiv:2203.08827v2 [astro-ph.CO] UPDATED)
May 16, 2022, 1:11 a.m. | Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
cs.LG updates on arXiv.org arxiv.org
The density profiles of dark matter halos are typically modeled using
empirical formulae fitted to the density profiles of relaxed halo populations.
We present a neural network model that is trained to learn the mapping from the
raw density field containing each halo to the dark matter density profile. We
show that the model recovers the widely-used Navarro-Frenk-White (NFW) profile
out to the virial radius, and can additionally describe the variability in the
outer profile of the halos. The neural …
arxiv astro building dark matter networks neural networks profiles
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