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Developing new anal...
Developing new analysis tools for near surface radio-based neutrino detectors
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- Anker, A. (author)
- Univ Calif Irvine, Dept Phys & Astron, Irvine, CA 92697 USA.;SLAC Natl Accelerator Lab, Menlo Pk, CA 94025 USA.
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- Baldi, P. (author)
- Univ Calif Irvine, Dept Informat & Comp Sci, Irvine, CA 92697 USA.
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- Barwick, S. W. (author)
- Univ Calif Irvine, Dept Phys & Astron, Irvine, CA 92697 USA.
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- Beise, Jakob (author)
- Uppsala universitet,Högenergifysik
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- Besson, D. Z. (author)
- Univ Kansas, Dept Phys & Astron, Lawrence, KS 66045 USA.
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- Chen, P. (author)
- Natl Taiwan Univ, Dept Phys, Taipei 10617, Taiwan.;Natl Taiwan Univ, Leung Ctr Cosmol & Particle Astrophys, Taipei 10617, Taiwan.
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- Gaswint, G. (author)
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA 92697, U.S.A
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- Glaser, Christian (author)
- Uppsala universitet,Högenergifysik
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- Hallgren, Allan, 1951- (author)
- Uppsala universitet,Högenergifysik
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- Hanson, J. C. (author)
- Whittier Coll, Dept Phys, Whittier, CA 90602 USA.
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- Klein, S. R. (author)
- Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA.
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- Kleinfelder, S. A. (author)
- Univ Calif Irvine, Dept Elect Engn & Comp Sci, Irvine, CA 92697 USA.
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- Lahmann, R. (author)
- Friedrich Alexander Univ Erlangen Nurnberg, ECAP, D-91058 Erlangen, Germany.
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- Liu, J. (author)
- Natl Taiwan Univ, Dept Phys, Taipei 10617, Taiwan.;Natl Taiwan Univ, Leung Ctr Cosmol & Particle Astrophys, Taipei 10617, Taiwan.
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- Nam, J. (author)
- Natl Taiwan Univ, Dept Phys, Taipei 10617, Taiwan.;Natl Taiwan Univ, Leung Ctr Cosmol & Particle Astrophys, Taipei 10617, Taiwan.
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- Nelles, A. (author)
- Deutsch Elektronen Synchrotron DESY, D-15738 Zeuthen, Germany.
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Paul, M. P. (author)
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Persichilli, C. (author)
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- Plaisier, I. (author)
- ECAP, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany;Deutsches Elektronen-Synchrotron DESY, Zeuthen 15738, Germany
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- Rice-Smith, R. (author)
- Univ Calif Irvine, Dept Phys & Astron, Irvine, CA 92697 USA.
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- Tatar, J. (author)
- Univ Calif Irvine, Res Cyberinfrastruct Ctr, Irvine, CA 92697 USA.
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- Terveer, K. (author)
- ECAP, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany
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- Wang, S. -h. (author)
- Natl Taiwan Univ, Dept Phys, Taipei 10617, Taiwan.;Natl Taiwan Univ, Leung Ctr Cosmol & Particle Astrophys, Taipei 10617, Taiwan.
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- Zhao, L. (author)
- Univ Calif Irvine, Dept Phys & Astron, Irvine, CA 92697 USA.;Johns Hopkins Univ, William H Miller Dept Phys & Astron 3, Baltimore, MD 21218 USA.
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Univ Calif Irvine, Dept Phys & Astron, Irvine, CA 92697 USA;SLAC Natl Accelerator Lab, Menlo Pk, CA 94025 USA. Univ Calif Irvine, Dept Informat & Comp Sci, Irvine, CA 92697 USA. (creator_code:org_t)
- Institute of Physics Publishing (IOPP), 2023
- 2023
- English.
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In: Journal of Cosmology and Astroparticle Physics. - : Institute of Physics Publishing (IOPP). - 1475-7516. ; :10
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- The ARIANNA experiment is an Askaryan radio detector designed to measure high-energy neutrino induced cascades within the Antarctic ice. Ultra-high-energy neutrinos above 1016 eV have an extremely low flux, so experimental data captured at trigger level need to be classified correctly to retain as much neutrino signal as possible. We first describe two new physics-based neutrino selection methods, or "cuts", (the updown and dipole cut) that extend the previously published analysis to a specialized ARIANNA station with 8 antenna channels, which is double the number used in the prior analysis. For a standard trigger with a threshold signal to noise ratio at 4.4, the new cuts produce a neutrino efficiency of > 95% per station-year of operation, while rejecting 99.93% of the background (corresponding to 53 remaining experimental background events). When the new cuts are combined with a pre-viously developed cut using neutrino waveform templates, all background is removed at no change of efficiency. In addition, the neutrino efficiency is extrapolated to 1,000 station-years of operation, obtaining 91%. This work then introduces a new selection method (the deep learning cut) to augment the identification of neutrino events by using deep learning meth-ods and compares the efficiency to the physics-based analysis. The deep learning cut gives 99% signal efficiency per station-year of operation while rejecting 99.997% of the background (corresponding to 2 remaining experimental background events), which are subsequently re-moved by the waveform template cut at no significant change in efficiency. The results of the deep learning cut were verified using measured cosmic rays which shows that the simulations do not introduce artifacts with respect to experimental data. The paper demonstrates that the background rejection and signal efficiency of near surface antennas meets the require-ments of a large scale future array, as considered in baseline design of the radio component of IceCube-Gen2.
Subject headings
- NATURVETENSKAP -- Fysik -- Subatomär fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Subatomic Physics (hsv//eng)
Keyword
- Machine learning
- neutrino astronomy
- neutrino detectors
- ultra high energy photons and neutrinos
Publication and Content Type
- ref (subject category)
- art (subject category)
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To the university's database
- By the author/editor
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Anker, A.
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Baldi, P.
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Barwick, S. W.
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Beise, Jakob
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Besson, D. Z.
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Chen, P.
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show more...
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Gaswint, G.
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Glaser, Christia ...
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Hallgren, Allan, ...
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Hanson, J. C.
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Klein, S. R.
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Kleinfelder, S. ...
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Lahmann, R.
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Liu, J.
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Nam, J.
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Nelles, A.
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Paul, M. P.
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Persichilli, C.
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Plaisier, I.
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Rice-Smith, R.
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Tatar, J.
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Terveer, K.
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Wang, S. -h.
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Zhao, L.
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Physical Science ...
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and Subatomic Physic ...
- Articles in the publication
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Journal of Cosmo ...
- By the university
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Uppsala University