Proton-proton interactions at the Highest Energies: the Grey-Disk and the Core-Corona models
Ruben Concei\c{c}\~ao, M\'ario Pimenta

TL;DR
This paper combines Grey-Disk and Core-Corona models to explain features of ultra-high-energy cosmic ray interactions, suggesting a proton-dominated spectrum from extragalactic sources with implications for cosmic ray composition.
Contribution
It introduces a novel combined model scenario that accounts for observed cosmic ray features and discusses its consistency with various observational data.
Findings
Explains $X_{max}$ and $N_bc$ distributions at highest energies.
Proposes a proton-dominated cosmic ray spectrum from extragalactic sources.
Suggests significant implications for understanding UHECR sources and composition.
Abstract
In this letter, the Grey-Disk and the Core-Corona models are combined in a scenario that aims to explain different unexpected features observed in the interactions of the highest energy particles in the Earth's atmosphere. In particular, the observed distributions of and are explained, assuming that the ultra-high-energy cosmic ray spectrum is dominated by protons produced by a few extra-galactic sources with different injection spectra and maximum energy cutoffs. The compliance of this heterodox scenario with other relevant observations as the instep region in the energy spectrum, the event-by-event correlations between and the detected signal at the ground and the absence of detection, so far, of UHE neutrinos or photons, are also briefly discussed. If confirmed, such a scenario would dramatically change the present understanding of the UHECR…
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.
Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Solar and Space Plasma Dynamics · Gamma-ray bursts and supernovae
