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Search for correlations between the arrival directions of IceCube neutrino events and ultrahigh-energy cosmic rays detected by the Pierre Auger Observatory and the Telescope Array
Univ Adelaide, Dept Phys, Adelaide, SA 5005, Australia..
Tech Univ Munich, D-85748 Garching, Germany..
DESY, D-15735 Zeuthen, Germany..
Univ Canterbury, Dept Phys & Astron, Private Bag 4800, Christchurch 1, New Zealand..
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2016 (English)In: Journal of Cosmology and Astroparticle Physics, E-ISSN 1475-7516, no 1, article id 037Article in journal (Refereed) Published
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Abstract [en]

This paper presents the results of different searches for correlations between very high-energy neutrino candidates detected by IceCube and the highest-energy cosmic rays measured by the Pierre Auger Observatory and the Telescope Array. We first consider samples of cascade neutrino events and of high-energy neutrino-induced muon tracks, which provided evidence for a neutrino flux of astrophysical origin, and study their cross-correlation with the ultrahigh-energy cosmic ray (UHECR) samples as a function of angular separation. We also study their possible directional correlations using a likelihood method stacking the neutrino arrival directions and adopting different assumptions on the size of the UHECR magnetic deflections. Finally, we perform another likelihood analysis stacking the UHECR directions and using a sample of through-going muon tracks optimized for neutrino point-source searches with sub-degree angular resolution. No indications of correlations at discovery level are obtained for any of the searches performed. The smallest of the p-values comes from the search for correlation between UHECRs with IceCube high-energy cascades, a result that should continue to be monitored.

Place, publisher, year, edition, pages
2016. no 1, article id 037
Keywords [en]
neutrino experiments, ultra high energy cosmic rays, cosmic ray experiments, neutrino astronomy
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
URN: urn:nbn:se:uu:diva-280919DOI: 10.1088/1475-7516/2016/01/037ISI: 000369734300037OAI: oai:DiVA.org:uu-280919DiVA, id: diva2:912287
Funder
Swedish Research CouncilSwedish Polar Research SecretariatSwedish National Infrastructure for Computing (SNIC)Knut and Alice Wallenberg FoundationGerman Research Foundation (DFG)Danish National Research FoundationEU, FP7, Seventh Framework Programme, FP7-PEOPLE-2012-IEF-328826EU, FP7, Seventh Framework Programme, PIRSES-2009-GA-246806 PIOF-GA-2013-624803Available from: 2016-03-16 Created: 2016-03-16 Last updated: 2023-03-28Bibliographically approved

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Boersma, David J.Botner, OlgaEuler, SebastianHallgren, Allande Los Heros, Carlos PerezTaavola, Henric

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