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Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

Author(s)
Abud, A. A.; Abi, B.; Acciarri, R.; Acero, M. A.; Adames, M. R.; Adamov, G.; Adamowski, M.; Adams, D.; Adinolfi, M.; Adriano, C.; Aduszkiewicz, A.; Aguilar, J.; Ahmad, Z.; Ahmed, J.; Aimard, B.; Akbar, F.; Ali-Mohammadzadeh, B.; Allison, K.; Monsalve, S. A.; AlRashed, M.; ... Show more Show less
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Abstract
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 $$\pm 0.6$$ ± 0.6 % and 84.1 $$\pm 0.6$$ ± 0.6 %, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation.
Date issued
2023-07-14
URI
https://hdl.handle.net/1721.1/151128
Department
Massachusetts Institute of Technology. Department of Physics
Publisher
Springer Berlin Heidelberg
Citation
The European Physical Journal C. 2023 Jul 14;83(7):618
Version: Final published version

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