AMS-02 antiprotons and dark matter: Trimmed hints and robust bounds
Francesca Calore, Marco Cirelli, Laurent Derome, Yoann Genolini, David, Maurin, Pierre Salati, and Pasquale D. Serpico

TL;DR
This paper analyzes 4-year AMS-02 antiproton data to set robust bounds on dark matter annihilation, emphasizing the importance of error treatment and model dependencies, and finds no significant dark matter signal hints.
Contribution
It provides the most stringent antiproton bounds on dark matter annihilation to date, incorporating realistic error treatment and updated cosmic-ray propagation models.
Findings
No statistically significant dark matter signal detected.
Antiproton bounds exclude thermal dark matter up to TeV scale.
Bounds depend on propagation models and halo profiles.
Abstract
Based on 4 yr AMS-02 antiproton data, we present bounds on the dark matter (DM) annihilation cross section vs. mass for some representative final state channels. We use recent cosmic-ray propagation models, a realistic treatment of experimental and theoretical errors, and an updated calculation of input antiproton spectra based on a recent release of the PYTHIA code. We find that reported hints of a DM signal are statistically insignificant; an adequate treatment of errors is crucial for credible conclusions. Antiproton bounds on DM annihilation are among the most stringent ones, probing thermal DM up to the TeV scale. The dependence of the bounds upon propagation models and the DM halo profile is also quantified. A preliminary estimate reaches similar conclusions when applied to the 7 years AMS-02 dataset, but also suggests extra caution as for possible future claims of DM excesses.
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.
