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Published May 15, 2009 | Published
Journal Article Open

Dark matter in the Solar System. I. The distribution function of WIMPs at the Earth from solar capture

Abstract

The next generation of dark matter (DM) direct detection experiments and neutrino telescopes will probe large swaths of dark matter parameter space. In order to interpret the signals in these experiments, it is necessary to have good models of both the halo DM streaming through the Solar System and the population of DM bound to the Solar System. In this paper, the first in a series of three on DM in the Solar System, we present simulations of orbits of DM bound to the Solar System by solar capture in a toy solar system consisting of only the Sun and Jupiter, assuming that DM consists of a single species of weakly interacting massive particle (WIMP). We describe how the size of the bound WIMP population depends on the WIMP mass m_chi, spin-independent cross section sigma_p^(SI), and spin-dependent cross section sigma_p^(SD). Using a standard description of the Galactic DM halo, we find that the maximum enhancement to the direct detection event rate, consistent with current experimental constraints on the WIMP-nucleon cross section, is <1% relative to the event rate from halo WIMPs, while the event rate from neutrinos from WIMP annihilation in the center of the Earth is unlikely to meet the threshold of next-generation, km^3-sized (IceCube, KM3NeT) neutrino telescopes.

Additional Information

© 2009 The American Physical Society. Received 8 February 2009; published 28 May 2009. We thank Scott Tremaine for advising this project, and Aldo Serenelli and Carlos Penya-Garay for providing tables of isotope abundances in the Sun. We acknowledge financial support from NASA Grant Nos. NNG04GL47G and NNX08AH24G and from the Gordon and Betty Moore Foundation. The simulations were performed using computing resources at Princeton University supported by the Department of Astrophysical Sciences (NSF AST-0216105), the Department of Physics, and the TIGRESS High Performance Computing Center.

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August 21, 2023
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