https://doi.org/10.1051/epjconf/201921003003
Search for a correlation between the UHECRs measured by the Pierre Auger Observatory and the Telescope Array and the neutrino candidate events from IceCube and ANTARES
1
APC, Univ Paris Diderot, CNRS/IN2P3, CEA/Irfu, Obs de Paris, Sorbonne Paris Cite, France
2
IFIC Instituto de Física Corpuscular (CSIC Universitat de València) c/ Catedrático José Beltràn, 2 E-46980 Paterna, Valencia, Spain
3
Institut Universitaire de France, 75005 Paris, France
4
Départment de physique nucléaire et corpusculaire, Université de Genève, Genève, Switzerland
5
RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germany
6
Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano e INFN, Milan, Italy
7
Institut de Physique Nucléaire d’Orsay (IPNO), CNRS-IN2P3, Orsay, France
8
Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ, Brazil
9
Centro Atómico Bariloche, S.C de Bariloche, Argentina
10
Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba, Japan
11
Service de Physique Théorique, Université Libre de Bruxelles, Ixelles, Belgium
* e-mail: lorenzo.caccianiga(at)unimi.it
Published online: 17 May 2019
High-energy neutrinos are expected to be produced by the interaction of accelerated particles near the acceleration sites. For this reason, it is intresting to search for correlation in the arrival directions of ultra–high energy cosmic rays (UHECRs) and HE neutrinos. We present here the results of a search for correlations between UHECR events measured by the Pierre Auger Observatory and Telescope Array and high-energy neutrino candidate events from IceCube and ANTARES. We perform a cross-correlation analysis, where the angular separation between the arrival directions of UHECRs and neutrinos is scanned. When comparing the results with the expectations from a null hypothesis contemplating an isotropic distribution of neutrinos or of UHECR we obtain post-trial p-values of the order of ~ 10 2.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
