Extragalactic and galactic gamma-rays and neutrinos from annihilating dark matter
Rouzbeh Allahverdi, Sheldon Campbell, Bhaskar Dutta

TL;DR
This paper explores how gamma-ray and neutrino signals from dark matter annihilation, both galactic and extragalactic, can provide insights into dark matter's particle nature, emphasizing the importance of neutrino observations for distinguishing models.
Contribution
It analyzes the complementarity of gamma-ray and neutrino signals from dark matter annihilation within supersymmetric models, highlighting the potential of neutrino signals to differentiate theories.
Findings
Neutrino signals can distinguish between different dark matter models with similar gamma-ray signatures.
Galactic and extragalactic signals' dominance depends on halo substructure contributions.
Neutrino observations from the galactic center could be more revealing than gamma-ray observations.
Abstract
We describe cosmic gamma-ray and neutrino signals of dark matter annihilation, explaining how the complementarity of these signals provides additional information that, if observable, can enlighten the particle nature of dark matter. This is discussed in the context of exploiting the separate galactic and extragalactic components of the signal, using the spherical halo model distribution of dark matter. We motivate the discussion with supersymmetric extensions of the standard model of particle physics. We consider the minimal supersymmetric standard model (MSSM) where both neutrinos and gamma-rays are produced from annihilations. We also consider a gauged B-L, baryon number minus lepton number, extension of the MSSM, where annihilation can be purely to heavy right-handed neutrinos. We compare the galactic and extragalactic components of these signals, and conclude that it is not yet…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
