Bozorgnia, N. and Calore, F. and Schaller, M. and Lovell, M. and Bertone, G. and Frenk, C.S. and Crain, R.A. and Navarro, J.F. and Schaye, J. and Theuns, T. (2016) 'Simulated Milky Way analogues : implications for dark matter direct searches.', Journal of cosmology and astroparticle physics., 2016 (5). 024.
We study the implications of galaxy formation on dark matter direct detection using high resolution hydrodynamic simulations of Milky Way-like galaxies simulated within the EAGLE and APOSTLE projects. We identify Milky Way analogues that satisfy observational constraints on the Milky Way rotation curve and total stellar mass. We then extract the dark matter density and velocity distribution in the Solar neighbourhood for this set of Milky Way analogues, and use them to analyse the results of current direct detection experiments. For most Milky Way analogues, the event rates in direct detection experiments obtained from the best fit Maxwellian distribution (with peak speed of 223–289 km/s) are similar to those obtained directly from the simulations. As a consequence, the allowed regions and exclusion limits set by direct detection experiments in the dark matter mass and spin-independent cross section plane shift by a few GeV compared to the Standard Halo Model, at low dark matter masses. For each dark matter mass, the halo-to-halo variation of the local dark matter density results in an overall shift of the allowed regions and exclusion limits for the cross section. However, the compatibility of the possible hints for a dark matter signal from DAMA and CDMS-Si and null results from LUX and SuperCDMS is not improved.
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||https://doi.org/10.1088/1475-7516/2016/05/024|
|Publisher statement:||This is an author-created, un-copyedited version of an article published in Journal of cosmology and astroparticle physics. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://doi.org/10.1088/1475-7516/2016/05/024|
|Date accepted:||04 April 2016|
|Date deposited:||23 June 2017|
|Date of first online publication:||11 May 2016|
|Date first made open access:||23 June 2017|
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