%0 Journal Article
%T Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
%A DUNE Collaboration (Abud, A. A. et al
%A Amedo, P.
%A Antonova, M.
%A Barenboim, G.
%A Cervera-Villanueva, A.
%A De Romeri, V.
%A Fernandez Menendez, P.
%A Garcia-Peris, M. A.
%A Martin-Albo, J.
%A Martinez-Mirave, P.
%A Mena, O.
%A Molina Bueno, L.
%A Novella, P.
%A Pompa, F.
%A Rocabado Rocha, J. L.
%A Sorel, M.
%A Ternes, C. A.
%A Tortola, M.
%A Valle, J. W. F.
%J European Physical Journal C
%D 2023
%V 83
%N 7
%I Springer
%@ 1434-6044
%G English
%F DUNECollaborationAbud_etal2023
%O WOS:001061746600005
%O exported from refbase (https://references.ific.uv.es/refbase/show.php?record=5721), last updated on Mon, 30 Oct 2023 15:56:42 +0000
%X 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.
%R 10.1140/epjc/s10052-023-11733-2
%U https://arxiv.org/abs/2206.14521
%U https://doi.org/10.1140/epjc/s10052-023-11733-2
%P 618 - 25pp