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The dark matter component of the Gaia radially anisotropic substructure

Bozorgnia, N.; Fattahi, A.; Frenk, C.S.; Cheek, A.; Cerdeño, D.G.; Gómez, F.A.; Grand, R.J.J.; Marinacci, F.

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Authors

N. Bozorgnia

A. Cheek

D.G. Cerdeño

F.A. Gómez

R.J.J. Grand

F. Marinacci



Abstract

We study the properties of the dark matter component of the radially anisotropic stellar population recently identified in the Gaia data, using magneto-hydrodynamical simulations of Milky Way-like halos from the Auriga project. We identify 10 simulated galaxies that approximately match the rotation curve and stellar mass of the Milky Way. Four of these have an anisotropic stellar population reminiscent of the Gaia structure. We find an anti-correlation between the dark matter mass fraction of this population in the Solar neighbourhood and its orbital anisotropy. We estimate the local dark matter density and velocity distribution for halos with and without the anisotropic stellar population, and use them to simulate the signals expected in future xenon and germanium direct detection experiments. We find that a generalized Maxwellian distribution fits the dark matter halo integrals of the Milky Way-like halos containing the radially anisotropic stellar population. For dark matter particle masses below approximately 10 GeV, direct detection exclusion limits for the simulated halos with the anisotropic stellar population show a mild shift towards smaller masses compared to the commonly adopted Standard Halo Model.

Citation

Bozorgnia, N., Fattahi, A., Frenk, C., Cheek, A., Cerdeño, D., Gómez, F., …Marinacci, F. (2020). The dark matter component of the Gaia radially anisotropic substructure. Journal of Cosmology and Astroparticle Physics, 2020(7), Article 036. https://doi.org/10.1088/1475-7516/2020/07/036

Journal Article Type Article
Acceptance Date May 22, 2020
Online Publication Date Jul 15, 2020
Publication Date 2020-07
Deposit Date Oct 20, 2020
Publicly Available Date Jul 15, 2021
Journal Journal of Cosmology and Astroparticle Physics
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 2020
Issue 7
Article Number 036
DOI https://doi.org/10.1088/1475-7516/2020/07/036

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