Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

Abud, A Abed, Abi, B, Acciarri, R, Acero, MA, Adames, MR, Adamov, G, Adamowski, M, Adams, D, Adinolfi, M, Adriano, C
et al (show 1217 more authors) (2023) Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora. EUROPEAN PHYSICAL JOURNAL C, 83 (7). 618-.

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<jats:title>Abstract</jats:title><jats:p>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/<jats:italic>c</jats:italic> charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1<jats:inline-formula><jats:alternatives><jats:tex-math>$$\pm 0.6$$</jats:tex-math><mml:math xmlns:mml=""> <mml:mrow> <mml:mo>±</mml:mo> <mml:mn>0.6</mml:mn> </mml:mrow> </mml:math></jats:alternatives></jats:inline-formula>% and 84.1<jats:inline-formula><jats:alternatives><jats:tex-math>$$\pm 0.6$$</jats:tex-math><mml:math xmlns:mml=""> <mml:mrow> <mml:mo>±</mml:mo> <mml:mn>0.6</mml:mn> </mml:mrow> </mml:math></jats:alternatives></jats:inline-formula>%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation.</jats:p>

Item Type: Article
Uncontrolled Keywords: Bioengineering
Divisions: Faculty of Science and Engineering > School of Physical Sciences
Depositing User: Symplectic Admin
Date Deposited: 03 Oct 2023 16:17
Last Modified: 16 Mar 2024 02:48
DOI: 10.1140/epjc/s10052-023-11733-2
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