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Observation of high-energy neutrinos from the Galactic plane

  • Icecube Collaboration
  • Loyola University Chicago
  • German Electron Synchrotron
  • University of Canterbury
  • Université libre de Bruxelles
  • University of Copenhagen
  • Oskar Klein Centre
  • TU Dortmund University
  • Karlsruhe Institute of Technology
  • University of Delaware
  • Marquette University
  • Pennsylvania State University
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Harvard University
  • University of Wisconsin-Madison
  • Massachusetts Institute of Technology
  • South Dakota School of Mines & Technology
  • University of California at Irvine
  • University of California at Berkeley
  • Ohio State University
  • University of Wuppertal
  • Ruhr University Bochum
  • Uppsala University
  • Technical University of Munich
  • University of Rochester
  • University of Maryland, College Park
  • University of Padua
  • University of Kansas
  • Lawrence Berkeley National Laboratory
  • RWTH Aachen University
  • Johannes Gutenberg University Mainz
  • Georgia Institute of Technology
  • University of Geneva

Research output: Contribution to journalArticlepeer-review

305 Scopus citations

Abstract

The origin of high-energy cosmic rays, atomic nuclei that continuously impact Earth's atmosphere, is unknown. Because of deflection by interstellar magnetic fields, cosmic rays produced within the Milky Way arrive at Earth from random directions. However, cosmic rays interact with matter near their sources and during propagation, which produces high-energy neutrinos. We searched for neutrino emission using machine learning techniques applied to 10 years of data from the IceCube Neutrino Observatory. By comparing diffuse emission models to a background-only hypothesis, we identified neutrino emission from the Galactic plane at the 4.5s level of significance. The signal is consistent with diffuse emission of neutrinos from the Milky Way but could also arise from a population of unresolved point sources.

Original languageEnglish
Pages (from-to)1338-1343
Number of pages6
JournalScience
Volume380
Issue number6652
DOIs
StatePublished - Jun 30 2023

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