Simulations for a next-generation UHECR observatory
Foteini Oikonomou, Kumiko Kotera, Filipe B. Abdalla

TL;DR
This paper investigates the potential of future ultra-high energy cosmic ray observatories to detect anisotropy in arrival directions, focusing on the lower energy range and the ability to discriminate between astrophysical models with increased statistics.
Contribution
It demonstrates that a significant increase in event statistics can enable discrimination between different UHECR source models, especially with composition information and high source density.
Findings
An order-of-magnitude increase in statistics improves model discrimination.
Detecting anisotropy is feasible with over 2000 events if composition is proton-dominated.
Anisotropy detection is possible with over 1000 events if sources are biased like galaxy clusters.
Abstract
We explore the potential of a future, ultra-high energy cosmic ray (UHECR) experiment, that is able to overcome the limitation of low statistics, to detect anisotropy in the arrival directions of UHECRs. We concentrate on the lower energy range of future instruments (E > 50 EeV), where, if the UHECR source number density is not too low, the sources should be numerous enough to imprint a clustering pattern in the sky, and thus possibly in the UHECR arrival directions. Under these limits, the anisotropy signal should be dominated by the clustering of astrophysical sources per-se in the large-scale structures, and not the clustering of events around individual sources. We study the potential for a statistical discrimination between different astrophysical models which we parametrise by the number density of UHECR sources, the possible bias of the UHECR accelerators with respect to the…
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