@misc{10481/85804,
year = {2023},
month = {7},
url = {https://hdl.handle.net/10481/85804},
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 +/- 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.},
organization = {CERN},
organization = {CERN management},
organization = {CERN EP},
organization = {European Union (EU)},
organization = {H2020-EU},
organization = {Acciones Marie Sklodowska-Curie (MSCA)},
organization = {CAM, Fundacion "La Caixa"},
organization = {Junta de Andalucia-FEDER, Spain},
organization = {Spanish Government},
organization = {Xunta de Galicia},
publisher = {Springer Nature},
title = {Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora},
doi = {10.1140/epjc/s10052-023-11733-2},
author = {Abud, A. Abed and García Gámez, Diego and Nicolás Arnaldos, Francisco Javier and Zamorano García, Bruno and DUNE Collaboration},
}