Predictions of hydrodynamic simulations for direct dark matter detection

14th International Conference on Topics in Astroparticle and Underground Physics

物理学;天文学

Bozorgnia, Nassim^1 ; Calore, Francesca^1 ; Schaller, Matthieu^2 ; Lovell, Mark^1,3 ; Bertone, Gianfranco^1 ; Frenk, Carlos S.^2 ; Crain, Robert A.^4 ; Navarro, Julio F.^5,6 ; Schaye, Joop^7 ; Theuns, Tom^2

GRAPPA, University of Amsterdam, Science Park 904, GL Amsterdam

1090, Netherlands^1

Institute for Computational Cosmology, Durham University, South Road, Durham

DH1 3LE, United Kingdom^2

Instituut-Lorentz for Theoretical Physics, Niels Bohrweg 2, CA Leiden

NL-2333, Netherlands^3

Astrophysics Research Institute, Liverpool John Moores University, 146 Brownlow Hill, Liverpool

L3 5RF, United Kingdom^4

Department of Physics and Astronomy, University of Victoria, Victoria

BC

V8P 5C2, Canada^5

Senior CIfAR, Fellow, Canada^6

Leiden Observatory, Leiden University, PO Box 9513, RA Leiden

NL-2300, Netherlands^7

关键词: Dark matter;    Dark matter detection;    Direct detection;    Galaxy formations;    Hydrodynamic simulation;    Maxwellian distribution;    Milky ways;    Speed distributions;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/718/4/042007/pdf
DOI  :  10.1088/1742-6596/718/4/042007

学科分类：天文学(综合)

来源: IOP

【 摘 要 】

We study the effects of galaxy formation on dark matter direct detection using hydrodynamic simulations obtained from the "Evolution and Assembly of GaLaxies and their Environments" (EAGLE) and APOSTLE projects. We extract the local dark matter density and velocity distribution of the simulated Milky Way analogues, and use them directly to perform an analysis of current direct detection data. The local dark matter density of the Milky Way-like galaxies is 0.41-0.73 GeV/cm3, and a Maxwellian distribution (with best fit peak speed of 223-289 km/s) describes well the local dark matter speed distribution. We find that the consistency between the result of different direct detection experiments cannot be improved by using the dark matter distribution of the simulated haloes.