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Classification of high energy muon bundles and single muons from the southern sky in IceCube

  • Icecube Collaboration
  • Loyola University Chicago
  • German Electron Synchrotron
  • University of Canterbury
  • University of Wisconsin-Madison
  • Institute of Physics Bhubaneswar
  • Université libre de Bruxelles
  • University of Copenhagen
  • TU Dortmund University
  • University of Kansas
  • University of Delaware
  • Marquette University
  • Harvard University
  • University of Utah
  • Michigan State University
  • South Dakota School of Mines & Technology
  • University of California at Irvine
  • Technical University of Munich
  • University of California at Berkeley
  • Ohio State University
  • Ruhr University Bochum
  • Chalmers University of Technology
  • RWTH Aachen University
  • Uppsala University
  • University of Rochester
  • University of Maryland, College Park
  • University of Padua
  • National Institute for Nuclear Physics
  • University of Alabama
  • Karlsruhe Institute of Technology
  • Johannes Gutenberg University Mainz
  • Georgia Institute of Technology
  • Queen's University Kingston
  • Adelaide University
  • Drexel University

Research output: Contribution to journalConference articlepeer-review

Abstract

The IceCube Neutrino Observatory, located at the geographic South Pole, uses the glacial ice volume to detect astrophysical neutrinos. Detection of the neutrinos from the northern sky provides the opportunity to use a large effective volume. However, as the cross-section increases with energy, most high-energy neutrinos are absorbed by the Earth. On the other hand, probing down-going PeV neutrinos from the southern sky becomes challenging because of the large cosmic ray induced muon backgrounds. This contribution presents a method for classifying atmospheric muon bundles and single muons by analyzing the lateral and longitudinal characteristics of through-going track-like events from the southern sky. Muons generated in cosmic ray air showers form muon bundles, exhibiting a lateral spread spanning tens of meters within IceCube. We explore the time residual feature for the observed Cherenkov light to separate bundles from single muons. We also utilize energy losses along the track, which lead to fluctuations in the light intensity: bundles follow a smooth pattern, whereas single muons are more stochastic. A Boosted Decision Tree algorithm is trained on simulated, well-reconstructed cosmic ray and neutrino events to classify neutrino-induced single muons and cosmic ray bundles.

Original languageEnglish
Article number979
JournalProceedings of Science
Volume501
DOIs
StatePublished - 30 Dec 2025
Event39th International Cosmic Ray Conference, ICRC 2025 - Geneva, Switzerland
Duration: 15 Jul 202524 Jul 2025

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