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Search for γ-Ray Line Signals from Dark Matter Annihilations in the Inner Galactic Halo from 10 Years of Observations with H.E.S.S.

H. Abdallah et al. (H.E.S.S. Collaboration)
Phys. Rev. Lett. 120, 201101 – Published 15 May 2018
Physics logo See Synopsis: Ten-Year Search Finds No Signs of Dark Matter Annihilation
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Abstract

Spectral lines are among the most powerful signatures for dark matter (DM) annihilation searches in very-high-energy γ rays. The central region of the Milky Way halo is one of the most promising targets given its large amount of DM and proximity to Earth. We report on a search for a monoenergetic spectral line from self-annihilations of DM particles in the energy range from 300 GeV to 70 TeV using a two-dimensional maximum likelihood method taking advantage of both the spectral and spatial features of the signal versus background. The analysis makes use of Galactic center observations accumulated over ten years (2004–2014) with the H.E.S.S. array of ground-based Cherenkov telescopes. No significant γ-ray excess above the background is found. We derive upper limits on the annihilation cross section σv for monoenergetic DM lines at the level of 4×1028cm3s1 at 1 TeV, assuming an Einasto DM profile for the Milky Way halo. For a DM mass of 1 TeV, they improve over the previous ones by a factor of 6. The present constraints are the strongest obtained so far for DM particles in the mass range 300 GeV–70 TeV. Ground-based γ-ray observations have reached sufficient sensitivity to explore relevant velocity-averaged cross sections for DM annihilation into two γ-ray photons at the level expected from the thermal relic density for TeV DM particles.

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  • Received 23 October 2017
  • Revised 5 March 2018

DOI:https://doi.org/10.1103/PhysRevLett.120.201101

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

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Ten-Year Search Finds No Signs of Dark Matter Annihilation

Published 15 May 2018

A search for gamma rays from dark matter annihilation comes up empty while improving constraints on parameters of candidate dark matter particles known as WIMPs.

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Vol. 120, Iss. 20 — 18 May 2018

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