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Title: Detecting boosted dark matter from the Sun with large volume neutrino detectors

Journal Article · · Journal of Cosmology and Astroparticle Physics
 [1];  [2];  [3]
  1. SLAC National Accelerator Laboratory, Menlo Park, CA 94025 (United States)
  2. Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5 (Canada)
  3. Stanford Institute of Theoretical Physics, Physics Department, Stanford University, Stanford, CA 94305 (United States)

We study novel scenarios where thermal dark matter (DM) can be efficiently captured in the Sun and annihilate into boosted dark matter. In models with semi-annihilating DM, where DM has a non-minimal stabilization symmetry, or in models with a multi-component DM sector, annihilations of DM can give rise to stable dark sector particles with moderate Lorentz boosts. We investigate both of these possibilities, presenting concrete models as proofs of concept. Both scenarios can yield viable thermal relic DM with masses O(1)-O(100) GeV. Taking advantage of the energetic proton recoils that arise when the boosted DM scatters off matter, we propose a detection strategy which uses large volume terrestrial detectors, such as those designed to detect neutrinos or proton decays. In particular, we propose a search for proton tracks pointing towards the Sun. We focus on signals at Cherenkov-radiation-based detectors such as Super-Kamiokande (SK) and its upgrade Hyper-Kamiokande (HK). We find that with spin-dependent scattering as the dominant DM-nucleus interaction at low energies, boosted DM can leave detectable signals at SK or HK, with sensitivity comparable to DM direct detection experiments while being consistent with current constraints. Our study provides a new search path for DM sectors with non-minimal structure.

OSTI ID:
22381997
Journal Information:
Journal of Cosmology and Astroparticle Physics, Vol. 2015, Issue 02; Other Information: Country of input: International Atomic Energy Agency (IAEA); ISSN 1475-7516
Country of Publication:
United States
Language:
English

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