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Methods and stability tests associated with the sterile neutrino search using improved high-energy νμ event reconstruction 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 Delaware
  • Marquette University
  • Harvard University
  • University of Utah
  • RWTH Aachen 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
  • Uppsala University
  • University of Rochester
  • University of Maryland, College Park
  • University of Padua
  • University of Kansas
  • University of Alabama
  • Karlsruhe Institute of Technology
  • Johannes Gutenberg University Mainz
  • Georgia Institute of Technology
  • Adelaide University
  • Drexel University
  • University of Nevada, Las Vegas

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

We provide supporting details for the search for a 3+1 sterile neutrino using data collected over 10.7 years at the IceCube Neutrino Observatory. The analysis uses atmospheric muon-flavored neutrinos from 0.5 to 100 TeV that traverse Earth to reach the IceCube detector and finds a best-fit point at sin2(2θ24)=0.16 and Δm412=3.5 eV2 with a goodness-of-fit p value of 12% and consistency with the null hypothesis of no oscillations to sterile neutrinos with a p value of 3.1%. Several improvements were made over past analyses, which are reviewed in this article, including upgrades to the reconstruction and the study of sources of systematic uncertainty. We provide details of the fit quality and discuss stability tests that split the data for separate samples, comparing results. We find that the fits are consistent between split datasets.

Original languageEnglish
Article number092009
JournalPhysical Review D
Volume110
Issue number9
DOIs
StatePublished - Nov 1 2024

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