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Extending the IceCube search for neutrino point sources in the Northern sky with additional years of data

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arxiv 2308.12742 v1 pith:EU5OMF35 submitted 2023-08-24 astro-ph.HE

classification astro-ph.HE
keywords icecubeneutrinodatanorthernyearssourcesadditionalonly
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The IceCube Neutrino Observatory is a one-cubic-kilometer-sized neutrino telescope deployed deep in the Antarctic ice at the South Pole. One of IceCube's major goals is finding the origins of astrophysical high-energy neutrinos. In 2022, IceCube identified the strongest point-like neutrino source so far, the active galaxy NGC 1068. Analyzing 9 years of muon-neutrino data from the Northern Sky recorded between 2011 and 2020, the emission from NGC 1068 is significant at 4.2$\,\sigma$. We present a planned extension to this search with additional years of data. One of these years includes data from 2010 when IceCube was only partially constructed. We discuss the improvement in sensitivity and discovery potential for neutrino point sources across the Northern sky. We show that by building on the established analysis techniques, previous observations could be improved, not only for NGC 1068 but for all possible sources in the Northern sky.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Measuring the Astrophysical Galactic Plane Neutrino Flux and Searching for Galactic PeVatrons using the IceCube Multi-Flavor Astrophysical Neutrino Sample

    astro-ph.HE 2025-07 conditional novelty 5.0 of 10

    The IceCube collaboration presents the combined multi-flavor ICEMAN sample and projects an improved galactic plane sensitivity with an expected 5.5 sigma Fermi pion-decay template significance.

  2. GraphNeT 2.0 -- A Deep Learning Library for Neutrino Telescopes

    hep-ex 2025-01 conditional novelty 5.0 of 10

    A detector-agnostic deep learning library for neutrino telescopes is updated to support multiple model architectures and experiment-specific data conversion.

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