Reconstruction of atmospheric neutrinos in DUNE’s horizontal-drift far-detector module

Abstract This paper reports on the capabilities in reconstructing and identifying atmospheric neutrino interactions in one of the Deep Underground Neutrino Experiment’s (DUNE) far detector modules, a liquid argon time projection chamber (LArTPC) with horizontal drift (FD-HD) of ionization electrons. The reconstruction is based upon the workflow developed for DUNE’s long-baseline oscillation analysis, with some necessary machine-learning models’ retraining and the addition of features relevant only to atmospheric neutrinos such as the neutrino direction reconstruction. Where relevant, the impact of the detection of the charged particles of the hadronic system is emphasized, and comparisons are carried out between the case when lepton-only information is considered in the reconstruction (as is the case for many neutrino oscillation experiments), versus when all particles identified in the LArTPC were included. Three neutrino direction reconstruction methods have been developed and studied for the atmospheric analyses: using lepton-only information, using all reconstructed particles, and using only correlations from reconstructed hits. The results indicate that incorporating more than just lepton information significantly improves the resolution of both neutrino direction and energy reconstruction. The angle reconstruction algorithms developed in this work result in no strong dependence on particle direction for reconstruction efficiencies or neutrino flavor identification. This comprehensive review of the reconstruction of atmospheric neutrinos in DUNE’s FD-HD LArTPC is the first step towards developing a first neutrino oscillation sensitivity analysis, which will ready DUNE for its first measurements.

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Publication Details

Journal
The European Physical Journal C
Published
2026-07-30
DOI
https://doi.org/10.1140/epjc/s10052-026-15911-w
Primary Topic
Neutrino Physics Research
Type
article
Field-Weighted Citation Impact
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article

Reconstruction of atmospheric neutrinos in DUNE’s horizontal-drift far-detector module

M. Alrashed, D. A. Andrade, C. Batchelor, D. Barrow et al.
The European Physical Journal C
Neutrino Physics Research
article

Reconstruction of atmospheric neutrinos in DUNE’s horizontal-drift far-detector module

M. Alrashed, D. A. Andrade, C. Batchelor, D. Barrow, B. Bambah, P. Baldi, F. Akbar, A. Alton, D. Benjamin, P. Amedo, F. Alemanno, J. L. Barrow, L. Bathe-Peters, V. Aushev, J.B.R. Battat, E. Belchior, C. Benitez Montiel, C. Andreopoulos, G. Barenboim, A. Aurisano, M. Adamowski, A. Belyaev, D. Asner, D. Auguste, D. Baigarashev, J. L. L. Bazo Alba, F. Bay, S. Ansarifard, F. Battisti, B. Behera, H. Amar, A. Balboni, S. Abbaslu, W. Baldini, G. Adamov, J. F. Beacom, N. S. Alex, F. Barão, D. Barbu, M. R. Adames, L. P. Accorsi, E. Arrieta Diaz, D. Antic, M. Arteropons, J. Baldonedo, E. Bechetoille, M. A. Arroyave, J. Bautista, Y. Bae, B. Bell, M. Ascencio, A. Bashyal, M. Bassani, A. Basharina-Freshville, K. Allison, D. Basu, P. Barham Alzás, M. B. Azam, A. Aman, M. A. Acero, D. Ávila Gómez, F. Anjarazafy, A. Aranda-Fernandez, A. Back, C. Adriano, R. Alvarez, O. Beltramello, M. Andreotti, A. Barros, E. Atkin, V. Basque, T. Araya-Santander, T. Alves, F. Andrianala, D. Autiero, I. Bagaturia, M. Antoniassi, G. Bell, R. Acciarri, L. Bagby, M. P. Andrews, J. Asaadi, G. Bellettini, W. Barkhouse, L. Asquith, G. J. Barker, N. Barros, F. Abd Alrahman, F. Azfar, L. Arellano, A. Ashkenazi, V. Bellini, G. Barr, B. Baller, J. J. Back, S. Balasubramanian, A. Abed Abud, J. Anderson, S. Andringa, L. Bellantoni
article en

Abstract

Abstract This paper reports on the capabilities in reconstructing and identifying atmospheric neutrino interactions in one of the Deep Underground Neutrino Experiment’s (DUNE) far detector modules, a liquid argon time projection chamber (LArTPC) with horizontal drift (FD-HD) of ionization electrons. The reconstruction is based upon the workflow developed for DUNE’s long-baseline oscillation analysis, with some necessary machine-learning models’ retraining and the addition of features relevant only to atmospheric neutrinos such as the neutrino direction reconstruction. Where relevant, the impact of the detection of the charged particles of the hadronic system is emphasized, and comparisons are carried out between the case when lepton-only information is considered in the reconstruction (as is the case for many neutrino oscillation experiments), versus when all particles identified in the LArTPC were included. Three neutrino direction reconstruction methods have been developed and studied for the atmospheric analyses: using lepton-only information, using all reconstructed particles, and using only correlations from reconstructed hits. The results indicate that incorporating more than just lepton information significantly improves the resolution of both neutrino direction and energy reconstruction. The angle reconstruction algorithms developed in this work result in no strong dependence on particle direction for reconstruction efficiencies or neutrino flavor identification. This comprehensive review of the reconstruction of atmospheric neutrinos in DUNE’s FD-HD LArTPC is the first step towards developing a first neutrino oscillation sensitivity analysis, which will ready DUNE for its first measurements.

The European Physical Journal CVol. 86(7)
Northern Illinois University (US), Florida State University (US), University of Pisa (IT), Louisiana State University (US), Argonne National Laboratory (US), Universidade Tecnológica Federal do Paraná (BR), Centre National de la Recherche Scientifique (FR), University of Minnesota (US), Fermi National Accelerator Laboratory (US), Georgian Technical University (GE), University of Antananarivo (MG), University of Padua (IT), University of Bucharest (RO), University of Lisbon (PT), University of Liverpool (GB), Augustana University (US), Istituto Nazionale di Fisica Nucleare (IT), Universitat de València (ES), University of Sussex (GB), Tel Aviv University (IL), Iowa State University (US), Illinois Institute of Technology (US), Universidade Estadual de Campinas (UNICAMP) (BR), South Dakota School of Mines and Technology (US), University of Colorado Boulder (US), The University of Texas at Arlington (US), Taras Shevchenko National University of Kyiv (UA), Kansas State University (US), Wellesley College (US), Universidade de Santiago de Compostela (ES), Brookhaven National Laboratory (US), University of Ferrara (IT), University of California, Irvine (US), University of Magdalena (CO), University of North Dakota (US), Université Paris-Saclay (FR), LIP - Laboratory of Instrumentation and Experimental Particle Physics (PT), Daresbury Laboratory (GB), Universidad Católica del Norte (CL), University of Colorado System (US), University of Manchester (GB), EIA University (CO), University of Bristol (GB), University of Hyderabad (IN), University of Catania (IT), University of Warwick (GB), University of Oxford (GB), Institute for Theoretical Physics and Modeling (AM), Istituto Nazionale di Fisica Nucleare, Sezione di Lecce (IT), Antalya Bilim University (TR), Twin Cities Orthopedics (US), Instituto de Física Corpuscular (ES), Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara (IT), Universidad del Atlántico (MX), Istituto Nazionale di Fisica Nucleare, Sezione di Catania (IT), Institut National de Physique Nucléaire et de Physique des Particules (FR), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (FR), Istituto Nazionale di Fisica Nucleare, Sezione di Milano (IT), Institute for Research in Fundamental Sciences (IR), Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (IT), Institute of Nuclear Physics of Lyon (FR), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), Institut de Physique des 2 Infinis de Lyon (FR), University of Houston (US), University College London (GB), Imperial College London (GB), The Ohio State University (US), University of Rochester (US), Indiana University (US), Universidade de Vigo (ES), University of Cincinnati (US), Pontificia Universidad Católica del Perú (PE), European Organization for Nuclear Research (CH), Drexel University (US), Universidad Nacional de Asunción (PY), Universidad de Colima (MX), University of Edinburgh (GB)
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