TY  - JOUR
AU  - DUNE Collaboration (Abud, A. A. et al
AU  - Amedo, P.
AU  - Antonova, M.
AU  - Barenboim, G.
AU  - Cervera-Villanueva, A.
AU  - De Romeri, V.
AU  - Fernandez Menendez, P.
AU  - Garcia-Peris, M. A.
AU  - Martin-Albo, J.
AU  - Martinez-Mirave, P.
AU  - Mena, O.
AU  - Molina Bueno, L.
AU  - Novella, P.
AU  - Pompa, F.
AU  - Rocabado Rocha, J. L.
AU  - Sorel, M.
AU  - Ternes, C. A.
AU  - Tortola, M.
AU  - Valle, J. W. F.
PY  - 2023
DA  - 2023//
TI  - Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
T2  - Eur. Phys. J. C
JO  - European Physical Journal C
SP  - 618 - 25pp
VL  - 83
IS  - 7
PB  - Springer
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 +/- 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.
SN  - 1434-6044
UR  - https://arxiv.org/abs/2206.14521
UR  - https://doi.org/10.1140/epjc/s10052-023-11733-2
DO  - 10.1140/epjc/s10052-023-11733-2
LA  - English
N1  - WOS:001061746600005
ID  - DUNECollaborationAbud_etal2023
ER  -