Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
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Published version
Author(s)
Type
Journal Article
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. Specif-
ically, 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.
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. Specif-
ically, 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.
Date Issued
2023-07-14
Date Acceptance
2023-06-20
Citation
European Physical Journal C: Particles and Fields, 2023, 83 (7)
ISSN
1124-1861
Publisher
SpringerOpen
Journal / Book Title
European Physical Journal C: Particles and Fields
Volume
83
Issue
7
Copyright Statement
© The Author(s) 2023. Funded by SCOAP3. SCOAP3 supports the goals of the International Year of Basic Sciences for Sustainable Development. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001061746600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Physical Sciences
Physics
Physics, Particles & Fields
Science & Technology
Publication Status
Published
Article Number
ARTN 618