Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube

The IceCube Collaboration

Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube

The IceCube Collaboration

Physics and Astronomy

Michigan State University
Loyola University Chicago
German Electron Synchrotron
University of Canterbury
Université libre de Bruxelles
University of Copenhagen
Oskar Klein Centre
University of Geneva
Karlsruhe Institute of Technology
University of Delaware
Harvard University
Marquette University
Pennsylvania State University
Friedrich-Alexander University Erlangen-Nürnberg
University of Wisconsin-Madison
Massachusetts Institute of Technology
South Dakota School of Mines & Technology
University of California at Irvine
University of California at Berkeley
Ohio State University
University of Wuppertal
Ruhr University Bochum
Technical University of Munich
University of Rochester
University of Maryland, College Park
University of Padua
University of Kansas
Moscow Engineering Physics Institute
Lawrence Berkeley National Laboratory
RWTH Aachen University
Johannes Gutenberg University Mainz
Uppsala University

Research output: Contribution to journal › Conference article › peer-review

Abstract

The IceCube Neutrino Observatory observes neutrinos interacting deep within the South Pole ice. It consists of 5,160 digital optical modules, which are embedded within a cubic kilometer of ice, over depths of 1,450 m to 2,450 m. At the lower center of the array is the DeepCore subdetector. Its denser sensor configuration lowers the observable energy threshold to the GeV-scale, facilitating the study of atmospheric neutrino oscillations. The precise reconstruction of neutrino direction is critical in the measurements of oscillation parameters. This work presents a method to reconstruct the zenith angle of GeV-scale events in IceCube by using a convolutional neural network and compares the result to that of the current likelihood-based reconstruction algorithm.

Original language	English
Article number	1054
Journal	Proceedings of Science
Volume	395
State	Published - Mar 18 2022
Event	37th International Cosmic Ray Conference, ICRC 2021 - Virtual, Berlin, Germany Duration: Jul 12 2021 → Jul 23 2021

Cite this

@article{4f42d11aad394832abe95b3d4c9f8b8e,

title = "Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube",

abstract = "The IceCube Neutrino Observatory observes neutrinos interacting deep within the South Pole ice. It consists of 5,160 digital optical modules, which are embedded within a cubic kilometer of ice, over depths of 1,450 m to 2,450 m. At the lower center of the array is the DeepCore subdetector. Its denser sensor configuration lowers the observable energy threshold to the GeV-scale, facilitating the study of atmospheric neutrino oscillations. The precise reconstruction of neutrino direction is critical in the measurements of oscillation parameters. This work presents a method to reconstruct the zenith angle of GeV-scale events in IceCube by using a convolutional neural network and compares the result to that of the current likelihood-based reconstruction algorithm.",

author = "\{The IceCube Collaboration\} and Shiqi Yu and R. Abbasi and M. Ackermann and J. Adams and Aguilar, \{J. A.\} and M. Ahlers and M. Ahrens and C. Alispach and Alves, \{A. A.\} and Amin, \{N. M.\} and R. An and K. Andeen and T. Anderson and G. Anton and C. Arg{\"u}elles and Y. Ashida and S. Axani and X. Bai and Balagopal, \{A. V.\} and A. Barbano and Barwick, \{S. W.\} and B. Bastian and V. Basu and S. Baur and R. Bay and Beatty, \{J. J.\} and Becker, \{K. H.\} and \{Becker Tjus\}, J. and C. Bellenghi and S. BenZvi and D. Berley and E. Bernardini and Besson, \{D. Z.\} and G. Binder and D. Bindig and E. Blaufuss and S. Blot and M. Boddenberg and F. Bontempo and J. Borowka and S. B{\"o}ser and O. Botner and J. B{\"o}ttcher and E. Bourbeau and F. Bradascio and J. Braun and S. Bron and J. Brostean-Kaiser and S. Browne and J. Kiryluk",

note = "Publisher Copyright: {\textcopyright} Copyright owned by the author(s).; 37th International Cosmic Ray Conference, ICRC 2021 ; Conference date: 12-07-2021 Through 23-07-2021",

year = "2022",

month = mar,

day = "18",

language = "English",

volume = "395",

journal = "Proceedings of Science",

issn = "1824-8039",

}

TY - JOUR

T1 - Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube

AU - The IceCube Collaboration

AU - Yu, Shiqi

AU - Abbasi, R.

AU - Ackermann, M.

AU - Adams, J.

AU - Aguilar, J. A.

AU - Ahlers, M.

AU - Ahrens, M.

AU - Alispach, C.

AU - Alves, A. A.

AU - Amin, N. M.

AU - An, R.

AU - Andeen, K.

AU - Anderson, T.

AU - Anton, G.

AU - Argüelles, C.

AU - Ashida, Y.

AU - Axani, S.

AU - Bai, X.

AU - Balagopal, A. V.

AU - Barbano, A.

AU - Barwick, S. W.

AU - Bastian, B.

AU - Basu, V.

AU - Baur, S.

AU - Bay, R.

AU - Beatty, J. J.

AU - Becker, K. H.

AU - Becker Tjus, J.

AU - Bellenghi, C.

AU - BenZvi, S.

AU - Berley, D.

AU - Bernardini, E.

AU - Besson, D. Z.

AU - Binder, G.

AU - Bindig, D.

AU - Blaufuss, E.

AU - Blot, S.

AU - Boddenberg, M.

AU - Bontempo, F.

AU - Borowka, J.

AU - Böser, S.

AU - Botner, O.

AU - Böttcher, J.

AU - Bourbeau, E.

AU - Bradascio, F.

AU - Braun, J.

AU - Bron, S.

AU - Brostean-Kaiser, J.

AU - Browne, S.

AU - Kiryluk, J.

PY - 2022/3/18

Y1 - 2022/3/18

N2 - The IceCube Neutrino Observatory observes neutrinos interacting deep within the South Pole ice. It consists of 5,160 digital optical modules, which are embedded within a cubic kilometer of ice, over depths of 1,450 m to 2,450 m. At the lower center of the array is the DeepCore subdetector. Its denser sensor configuration lowers the observable energy threshold to the GeV-scale, facilitating the study of atmospheric neutrino oscillations. The precise reconstruction of neutrino direction is critical in the measurements of oscillation parameters. This work presents a method to reconstruct the zenith angle of GeV-scale events in IceCube by using a convolutional neural network and compares the result to that of the current likelihood-based reconstruction algorithm.

AB - The IceCube Neutrino Observatory observes neutrinos interacting deep within the South Pole ice. It consists of 5,160 digital optical modules, which are embedded within a cubic kilometer of ice, over depths of 1,450 m to 2,450 m. At the lower center of the array is the DeepCore subdetector. Its denser sensor configuration lowers the observable energy threshold to the GeV-scale, facilitating the study of atmospheric neutrino oscillations. The precise reconstruction of neutrino direction is critical in the measurements of oscillation parameters. This work presents a method to reconstruct the zenith angle of GeV-scale events in IceCube by using a convolutional neural network and compares the result to that of the current likelihood-based reconstruction algorithm.

UR - https://www.scopus.com/pages/publications/85145020020

M3 - Conference article

AN - SCOPUS:85145020020

SN - 1824-8039

VL - 395

JO - Proceedings of Science

JF - Proceedings of Science

M1 - 1054

T2 - 37th International Cosmic Ray Conference, ICRC 2021

Y2 - 12 July 2021 through 23 July 2021

ER -

Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube

Abstract

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