A Bayesian analysis of the 27 highest energy cosmic rays detected by the Pierre Auger Observatory
Laura J. Watson, Daniel J. Mortlock, Andrew H. Jaffe (Imperial College, London)

TL;DR
This paper applies a Bayesian analysis to the 27 highest energy cosmic rays detected by the Pierre Auger Observatory, providing a more comprehensive statistical approach to assess their potential origin from active galactic nuclei.
Contribution
It introduces a fully Bayesian methodology that incorporates more information and avoids problematic parameter tuning in analyzing UHECR-AGN correlations.
Findings
Approximately 15% of UHECRs originate from known AGNs.
The hypothesis that all UHECRs come from AGNs is rejected.
The correlation between UHECRs and AGNs is unlikely to be coincidental.
Abstract
It is possible that ultra-high energy cosmic rays (UHECRs) are generated by active galactic nuclei (AGNs), but there is currently no conclusive evidence for this hypothesis. Several reports of correlations between the arrival directions of UHECRs and the positions of nearby AGNs have been made, the strongest detection coming from a sample of 27 UHECRs detected by the Pierre Auger Observatory (PAO). However, the PAO results were based on a statistical methodology that not only ignored some relevant information (most obviously the UHECR arrival energies but also some of the information in the arrival directions) but also involved some problematic fine-tuning of the correlation parameters. Here we present a fully Bayesian analysis of the PAO data (collected before 2007 September), which makes use of more of the available information, and find that a fraction F_AGN = 0.15^(+0.10)_(-0.07) of…
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