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Neutrinos below 100 TeV from the southern sky employing refined veto techniques to IceCube data
Univ Canterbury, Dept Phys & Astron, Private Bag 4800, Christchurch, New Zealand.
DESY, D-15738 Zeuthen, Germany.
Univ Canterbury, Dept Phys & Astron, Private Bag 4800, Christchurch, New Zealand.
Univ Libre Bruxelles, Sci Fac, CP230, B-1050 Brussels, Belgium.
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2020 (English)In: Astroparticle physics, ISSN 0927-6505, E-ISSN 1873-2852, Vol. 116, article id 102392Article in journal (Refereed) Published
Abstract [en]

Many Galactic sources of gamma rays, such as supernova remnants, are expected to produce neutrinos with a typical energy cutoff well below 100 TeV. For the IceCube Neutrino Observatory located at the South Pole, the southern sky, containing the inner part of the Galactic plane and the Galactic Center, is a particularly challenging region at these energies, because of the large background of atmospheric muons. In this paper, we present recent advancements in data selection strategies for track-like muon neutrino events with energies below 100 TeV from the southern sky. The strategies utilize the outer detector regions as veto and features of the signal pattern to reduce the background of atmospheric muons to a level which, for the first time, allows IceCube searching for point-like sources of neutrinos in the southern sky at energies between 100 GeV and several TeV in the muon neutrino charged current channel. No significant clustering of neutrinos above background expectation was observed in four years of data recorded with the completed IceCube detector. Upper limits on the neutrino flux for a number of spectral hypotheses are reported for a list of astrophysical objects in the southern hemisphere. 

Place, publisher, year, edition, pages
ELSEVIER , 2020. Vol. 116, article id 102392
Keywords [en]
Neutrinos, Point sources, Veto techniques
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-400830DOI: 10.1016/j.astropartphys.2019.102392ISI: 000501416000004OAI: oai:DiVA.org:uu-400830DiVA, id: diva2:1385036
Funder
Swedish Research CouncilSwedish National Infrastructure for Computing (SNIC)Knut and Alice Wallenberg FoundationSwedish Polar Research SecretariatAvailable from: 2020-01-13 Created: 2020-01-13 Last updated: 2020-01-13Bibliographically approved

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Botner, OlgaBurgman, AlexanderHallgren, AllanPérez de los Heros, CarlosStröm, RickardUnger, Elisabeth

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