A Bayesian self-clustering analysis of the highest energy cosmic rays detected by the Pierre Auger Observatory
作者： Alexander Khanin , Daniel J. Mortlock
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摘要: Cosmic rays are protons and atomic nuclei that flow into our Solar system reach the Earth with energies of up to ∼10 21 eV. The sources ultrahigh energy cosmic (UHECRs) E 10 19 eV remain unknown, although there theoretical reasons think at least some come from active galactic (AGNs). One way assess different hypotheses is by analysing arrival directions UHECRs, in particular their self-clustering. We have developed a fully Bayesian approach self-clustering points on sphere, which we apply UHECR directions. analysis based multistep enables application model comparison cases weak prior information. applied this 69 highest events recorded Pierre Auger Observatory, largest current data set. do not detect self-clustering, but simulations show consistent AGN-sourced for set size. Data sets several hundred UHECRs would be sufficient clustering AGN model. Samples magnitude expected produced future experiments, such as Japanese Experiment Module Extreme Universe Space Observatory.
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