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Reconstructing Neut...
Reconstructing Neutrino Energy using CNNs for GeV Scale IceCube Events
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- Abbasi, R. (author)
- Loyola Univ Chicago, Dept Phys, Chicago, IL 60660 USA
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- Botner, Olga (author)
- Uppsala universitet,Högenergifysik
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- Burgman, Alexander (author)
- Uppsala universitet,Högenergifysik,FREIA
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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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- O'Sullivan, Erin (author)
- Uppsala universitet,Högenergifysik
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- Pérez de los Heros, Carlos (author)
- Uppsala universitet,Högenergifysik
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- Sharma, Ankur (author)
- Uppsala universitet,Högenergifysik
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- Valtonen-Mattila, Nora (author)
- Uppsala universitet,Högenergifysik
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- Zhang, Z. (author)
- SUNY Stony Brook, Dept Phys & Astron, Stony Brook, NY 11794 USA
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(creator_code:org_t)
- Trieste, Italy : Sissa Medialab Srl, 2022
- 2022
- English.
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In: 37th International Cosmic Ray Conference (ICRC 2021). - Trieste, Italy : Sissa Medialab Srl.
- Related links:
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https://doi.org/10.2...
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https://uu.diva-port... (primary) (Raw object)
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https://pos.sissa.it...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- Measurements of neutrinos at and below 10 GeV provide unique constraints of neutrino oscillation parameters as well as probes of potential Non-Standard Interactions (NSI). The IceCube Neutrino Observatory's DeepCore array is designed to detect neutrinos down to GeV energies. IceCube has built the world's largest data set of neutrinos >10 GeV, making searches for NSI a computational challenge. This work describes the use of convolutional neural networks (CNNs) to improve the energy reconstruction resolution and speed of reconstructing O(10 GeV) neutrino events in IceCube. Compared to current likelihood-based methods which take seconds to minutes, the CNN is expected to provide approximately a factor of 2 improvement in energy resolution while reducing the reconstruction time per event to milliseconds, which is essential for processing large datasets.
Subject headings
- NATURVETENSKAP -- Fysik -- Subatomär fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Subatomic Physics (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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