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Directionality measurement of CNO neutrinos with Borexino detector

  • the Borexino collaboration
  • University of Milan
  • Department of Chemical Engineering
  • Laboratori Nazionali del Gran Sasso
  • Princeton University
  • University of Genova
  • Moscow State University
  • Petersburg Nuclear Phys. Inst.
  • Université Paris Diderot
  • Gran Sasso Science Institute
  • Joint Inst. for Nuclear Research
  • Johannes Gutenberg University
  • Jagiellonian University
  • Forestry Academy of Sciences of Ukraine
  • University of London
  • Institute for Nuclear Research (MTA-ATOMKI)
  • Forschungszentrum Jülich (FZJ)
  • RWTH Aachen University
  • National Research Centre "Kurchatov Institute"
  • National Research Nuclear University MEPhI
  • Università di Perugia
  • University of Massachusetts Amherst
  • Universitá di L'Aquila
  • Virginia Polytechnic Institute and State University
  • Technical University of Munich
  • Technische Universität Dresden

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

In the following, the first measurement of CNO solar neutrinos obtained by Borexino by exploiting the directional information retained by solar neutrino is summarized [1]. The Correlated Integrated Directionality (CID) method makes use of the sub-dominant Cherenkov light emitted by the Borexino liquid scintillator to correlate between the first few detected photons in each event and the known position of the Sun for each event and, therefore, to discriminate between the signal and the radioactive background on a statistical basis. By applying this technique to the complete 2007-2021 Borexino dataset, the hypothesis of no CNO neutrinos is rejected with >5σ posterior probability, without making use of any information on the background levels in the scintillator.

Original languageEnglish
Article number158
JournalProceedings of Science
Volume441
StatePublished - 22 Mar 2024
Event18th International Conference on Topics in Astroparticle and Underground Physics, TAUP 2023 - Vienna, Austria
Duration: 28 Aug 20231 Sep 2023

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