Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

DUNE Collaboration

doi:10.1140/epjc/s10052-023-11733-2

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

DUNE Collaboration

CERN
University of Liverpool
University of Oxford
Fermi National Accelerator Laboratory
Universidad del Atlántico
Universidade Tecnológica Federal do Paraná
Georgian Technical University
Brookhaven National Laboratory
University of Bristol
Universidade Estadual de Campinas
University of Houston
Lawrence Berkeley National Laboratory
Variable Energy Cyclotron Centre India
University of Warwick
Université Grenoble Alpes
University of Rochester
University of Catania
National Institute for Nuclear Physics
University of Colorado Boulder
Kansas State University
Swiss Federal Institute of Technology Zurich
Augustana University
CIEMAT
University of Valencia
University of Santiago de Compostela
Argonne National Laboratory
STFC Rutherford Appleton Laboratory
University of Ferrara
Université d'Antananarivo
Laboratório de Instrumentação e Física Experimental de Partículas
Joint Institute for Nuclear Research
SLAC National Accelerator Laboratory
University of Basel
Universidad de Colima
University of Manchester
Columbia University
Universidad EIA
University of Texas at Arlington
University of Sussex
University of Cincinnati
Kyiv National Taras Shevchenko University
Institut de Physique des 2 Infinis de Lyon
Universidad Nacional de Ingeniería, Peru

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

The Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1 ± 0.6 % and 84.1 ± 0.6 %, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation.

Original language	English
Article number	618
Journal	European Physical Journal C
Volume	83
Issue number	7
DOIs	https://doi.org/10.1140/epjc/s10052-023-11733-2
State	Published - Jul 2023

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@article{0db9931946f74c9c85f1ef5d9b7f5057,

title = "Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora",

abstract = "The Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80\% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1 ± 0.6 \% and 84.1 ± 0.6 \%, respectively. The efficiencies measured for test-beam data are shown to be within 5\% of those predicted by the simulation.",

author = "DUNE Collaboration and Abud, \{A. Abed\} and B. Abi and R. Acciarri and Acero, \{M. A.\} and Adames, \{M. R.\} and G. Adamov and M. Adamowski and D. Adams and M. Adinolfi and C. Adriano and A. Aduszkiewicz and J. Aguilar and Z. Ahmad and J. Ahmed and B. Aimard and F. Akbar and B. Ali-Mohammadzadeh and K. Allison and Monsalve, \{S. Alonso\} and M. AlRashed and C. Alt and A. Alton and R. Alvarez and P. Amedo and J. Anderson and C. Andreopoulos and M. Andreotti and M. Andrews and F. Andrianala and S. Andringa and N. Anfimov and A. Ankowski and M. Antoniassi and M. Antonova and A. Antoshkin and S. Antusch and A. Aranda-Fernandez and L. Arellano and Arnold, \{L. O.\} and Arroyave, \{M. A.\} and J. Asaadi and L. Asquith and A. Aurisano and V. Aushev and D. Autiero and \{Ayala Lara\}, V. and C. Jung and C. McGrew and C. Riccio and R. Shrock",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s).",

year = "2023",

month = jul,

doi = "10.1140/epjc/s10052-023-11733-2",

language = "English",

volume = "83",

journal = "European Physical Journal C",

issn = "1434-6044",

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T1 - Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

AU - DUNE Collaboration

AU - Abud, A. Abed

AU - Abi, B.

AU - Acciarri, R.

AU - Acero, M. A.

AU - Adames, M. R.

AU - Adamov, G.

AU - Adamowski, M.

AU - Adams, D.

AU - Adinolfi, M.

AU - Adriano, C.

AU - Aduszkiewicz, A.

AU - Aguilar, J.

AU - Ahmad, Z.

AU - Ahmed, J.

AU - Aimard, B.

AU - Akbar, F.

AU - Ali-Mohammadzadeh, B.

AU - Allison, K.

AU - Monsalve, S. Alonso

AU - AlRashed, M.

AU - Alt, C.

AU - Alton, A.

AU - Alvarez, R.

AU - Amedo, P.

AU - Anderson, J.

AU - Andreopoulos, C.

AU - Andreotti, M.

AU - Andrews, M.

AU - Andrianala, F.

AU - Andringa, S.

AU - Anfimov, N.

AU - Ankowski, A.

AU - Antoniassi, M.

AU - Antonova, M.

AU - Antoshkin, A.

AU - Antusch, S.

AU - Aranda-Fernandez, A.

AU - Arellano, L.

AU - Arnold, L. O.

AU - Arroyave, M. A.

AU - Asaadi, J.

AU - Asquith, L.

AU - Aurisano, A.

AU - Aushev, V.

AU - Autiero, D.

AU - Ayala Lara, V.

AU - Jung, C.

AU - McGrew, C.

AU - Riccio, C.

AU - Shrock, R.

PY - 2023/7

Y1 - 2023/7

N2 - The Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1 ± 0.6 % and 84.1 ± 0.6 %, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation.

AB - The Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1 ± 0.6 % and 84.1 ± 0.6 %, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation.

UR - https://www.scopus.com/pages/publications/85165264169

U2 - 10.1140/epjc/s10052-023-11733-2

DO - 10.1140/epjc/s10052-023-11733-2

M3 - Article

AN - SCOPUS:85165264169

SN - 1434-6044

VL - 83

JO - European Physical Journal C

JF - European Physical Journal C

IS - 7

M1 - 618

ER -

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

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