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Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2 using Deep Learning. (arXiv:2203.08161v2 [astro-ph.GA] UPDATED)
Nov. 9, 2022, 2:12 a.m. | Abdullah Bazarov, María Benito, Gert Hütsi, Rain Kipper, Joosep Pata, Sven Põder
cs.LG updates on arXiv.org arxiv.org
The abundance of dark matter (DM) subhalos orbiting a host galaxy is a
generic prediction of the cosmological framework, and is a promising way to
constrain the nature of DM. In this paper, we investigate the use of machine
learning-based tools to quantify the magnitude of phase-space perturbations
caused by the passage of DM subhalos. A simple binary classifier and an anomaly
detection model are proposed to estimate if stars or star particles close to DM
subhalos are statistically detectable …
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