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Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

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Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora. / DUNE Collaboration ; Blake, A.; Brailsford, D. et al.
In: European Physical Journal C, Vol. 83, 618, 14.07.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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DUNE Collaboration, Blake A, Brailsford D, Cross R, Mouster G, Nowak JA et al. Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora. European Physical Journal C. 2023 Jul 14;83:618. doi: 10.1140/epjc/s10052-023-11733-2

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DUNE Collaboration ; Blake, A. ; Brailsford, D. et al. / Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora. In: European Physical Journal C. 2023 ; Vol. 83.

Bibtex

@article{a7fefd7d919346dd9bc45ca75ac64006,
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$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation. ",
keywords = "hep-ex, physics.ins-det",
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 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 A. Blake and D. Brailsford and R. Cross and G. Mouster and Nowak, {J. A.} and P. Ratoff",
year = "2023",
month = jul,
day = "14",
doi = "10.1140/epjc/s10052-023-11733-2",
language = "English",
volume = "83",
journal = "European Physical Journal C",

}

RIS

TY - JOUR

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 - 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 - Blake, A.

AU - Brailsford, D.

AU - Cross, R.

AU - Mouster, G.

AU - Nowak, J. A.

AU - Ratoff, P.

PY - 2023/7/14

Y1 - 2023/7/14

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$\pm0.6$% and 84.1$\pm0.6$%, 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$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation.

KW - hep-ex

KW - physics.ins-det

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

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

M3 - Journal article

VL - 83

JO - European Physical Journal C

JF - European Physical Journal C

M1 - 618

ER -