Speaker
Oleg Kalashev
(Institute for Nuclear Research RAS, Moscow, Russia)
Description
We propose a machine-learning-based method to test various
hypotheses about possible sources of ultra-high-energy cosmic rays (UHECR)
using their arrival directions. We test the discriminating power of
the method on the recently proposed realistic UHECR origin scenario [1], assuming several particular nearby active galaxies as source candidates.
[1] Phys.Rev. D96 (2017) no.8, 083006
Primary authors
Oleg Kalashev
(Institute for Nuclear Research RAS, Moscow, Russia)
Maxim Pshirkov
(Moscow, INR & Sternberg Astron. Inst.)
Mikhail Zotov
(SINP, Moscow)
