skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Indirect searches of dark matter via polynomial spectral features

Journal Article · · Journal of Cosmology and Astroparticle Physics
;  [1]
  1. Service de Physique Théorique, Université Libre de Bruxelles,Boulevard du Triomphe, CP225, Brussels, 1050 (Belgium)

We derive the spectra arising from non-relativistic dark matter annihilations or decays into intermediary particles with arbitrary spin, which subsequently produce neutrinos or photons via two-body decays. Our approach is model independent and predicts spectral features restricted to a kinematic box. The overall shape within that box is a polynomial determined by the polarization of the decaying particle. We illustrate our findings with two examples. First, with the neutrino spectra arising from dark matter annihilations into the massive Standard Model gauge bosons. Second, with the gamma-ray and neutrino spectra generated by dark matter annihilations into hypothetical massive spin-2 particles. Our results are in particular applicable to the 750 GeV diphoton excess observed at the LHC if interpreted as a spin-0 or spin-2 particle coupled to dark matter. We also derive limits on the dark matter annihilation cross section into this resonance from the non-observation of the associated gamma-ray spectral features by the H.E.S.S. telescope.

Sponsoring Organization:
SCOAP3, CERN, Geneva (Switzerland)
OSTI ID:
22572130
Journal Information:
Journal of Cosmology and Astroparticle Physics, Vol. 2016, Issue 08; Other Information: PUBLISHER-ID: JCAP08(2016)023; OAI: oai:repo.scoap3.org:16772; cc-by Article funded by SCOAP3. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 License. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.; Country of input: International Atomic Energy Agency (IAEA); ISSN 1475-7516
Country of Publication:
United States
Language:
English