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A New Search for Neutrino Point Sources with IceCube

  • The IceCube Collaboration
  • Loyola University Chicago
  • German Electron Synchrotron
  • University of Canterbury
  • Université libre de Bruxelles
  • University of Copenhagen
  • The Oskar Klein Centre
  • University of Geneva
  • Karlsruhe Institute of Technology
  • University of Delaware
  • Harvard University
  • Marquette University
  • Pennsylvania State University
  • Friedrich-Alexander University Erlangen-Nürnberg
  • 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
  • Technical University of Munich
  • University of Rochester
  • University of Maryland, College Park
  • University of Padua
  • University of Kansas
  • Moscow Engineering Physics Institute
  • Lawrence Berkeley National Laboratory
  • RWTH Aachen University
  • Johannes Gutenberg University Mainz
  • Uppsala University

Research output: Contribution to journalConference articlepeer-review

Abstract

The IceCube Neutrino Observatory, deployed inside the deep glacial ice at the South Pole, is the largest neutrino telescope in the world. While eight years have passed since IceCube discovered a diffuse flux of high-energy astrophysical neutrinos, the sources of the vast majority of these neutrinos remain unknown. Here, we present a new search for neutrino point sources that improves the accuracy of the statistical analysis, especially in the low energy regime. We replaced the usual Gaussian approximations of IceCube’s point spread function with precise numerical representations, obtained from simulations, and combined them with new machine learning-based estimates of event energies and angular errors. Depending on the source properties, the new analysis provides improved source localization, flux characterization and thereby discovery potential (by up to 30%) over previous works. The analysis will be applied to IceCube data that has been recorded with the full 86-string detector configuration from 2011 to 2020 and includes improved detector calibration.

Original languageEnglish
Article number1138
JournalProceedings of Science
Volume395
StatePublished - Mar 18 2022
Event37th International Cosmic Ray Conference, ICRC 2021 - Virtual, Berlin, Germany
Duration: Jul 12 2021Jul 23 2021

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