Indirect searches of dark matter via polynomial spectral features
Camilo Garcia-Cely, Julian Heeck

TL;DR
This paper develops a model-independent method to predict spectral features from dark matter annihilations or decays involving intermediary particles with arbitrary spin, producing neutrinos or photons with characteristic polynomial-shaped spectra within a kinematic box.
Contribution
It introduces a novel, model-independent framework to derive spectral features from dark matter interactions involving particles of any spin, focusing on polynomial spectral shapes within a kinematic box.
Findings
Spectral features are restricted to a kinematic box with polynomial shape.
Application to Standard Model gauge bosons and hypothetical spin-2 particles.
Derived limits on dark matter annihilation cross section from gamma-ray observations.
Abstract
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…
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.
