Simplified Dark Matter Models Confront the Gamma Ray Excess

TL;DR

This paper evaluates simplified dark matter models against gamma ray excess data from the Galactic Center, constraining parameters and identifying the most supported dark matter candidate.

Contribution

It introduces a Bayesian framework to compare different dark matter models with multiple experimental constraints, highlighting the Majorana fermion as the most favored candidate.

Findings

Majorana fermion dark matter is most supported by data.

Dark matter mass and coupling parameters are tightly constrained.

The model fits the gamma ray excess with current experimental data.

Abstract

Inspired by the excess of gamma rays from the Galactic Center, we confront a number of simplified dark matter models with experimental data. Assuming a single dark matter particle coupled to standard matter via a spin-0 mediator, we compare model evidences for Majorana fermion, real scalar and real vector dark matter candidates. We consider dark matter annihilation into various fermionic final states contributing to the observed differential gamma ray flux. Our likelihood function also includes the dark matter relic density, its elastic scattering cross section with nuclei, and collider limits. Using Bayesian inference we confine the mass and couplings strengths of the dark matter and mediator particle. Our results show that, if the gamma ray excess is due to dark matter the above parameters are well constrained by the observations. We find that the Majorana fermion dark matter model is supported the most by the data.