PIRSA:17030092

Gamma-ray Constraints on Decaying Dark Matter and Implications for IceCube

Rodd, N. (2017). Gamma-ray Constraints on Decaying Dark Matter and Implications for IceCube. Perimeter Institute. https://pirsa.org/17030092

Rodd, Nicholas. Gamma-ray Constraints on Decaying Dark Matter and Implications for IceCube. Perimeter Institute, Mar. 28, 2017, https://pirsa.org/17030092 

          @misc{ pirsa_PIRSA:17030092,
            doi = {10.48660/17030092},
            url = {https://pirsa.org/17030092},
            author = {Rodd, Nicholas},
            keywords = {Particle Physics},
            language = {en},
            title = {Gamma-ray Constraints on Decaying Dark Matter and Implications for IceCube},
            publisher = {Perimeter Institute},
            year = {2017},
            month = {mar},
            note = {PIRSA:17030092 see, \url{https://pirsa.org}}
          }

Nicholas Rodd

Massachusetts Institute of Technology (MIT)

Talk number
PIRSA:17030092
Collection
Talk Type
Subject
Abstract

Utilizing the Fermi measurement of the gamma-ray spectrum toward the Galactic Center, we derive some of the strongest constraints to date on the dark matter (DM) lifetime in the mass range from hundreds of MeV to above an EeV. Our profile-likelihood based analysis relies on 413 weeks of Fermi Pass 8 data from 200 MeV to 2 TeV, along with up-to-date models for diffuse gamma-ray emission within the Milky Way. We model Galactic and extragalactic DM decay and include contributions to the DM-induced gamma-ray flux resulting from both primary emission and inverse-Compton scattering of primary electrons and positrons. For the extragalactic flux, we also calculate the spectrum associated with cascades of high-energy gamma-rays scattering off of the cosmic background radiation. We argue that a decaying DM interpretation for the 10 TeV-1 PeV neutrino flux observed by IceCube is disfavored by our constraints. We interpret the results in terms of individual final states and in the context of simplified scenarios such as a hidden-sector glueball model.