Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
Metadatos
Afficher la notice complèteAuteur
Abud, A. Abed; García Gámez, Diego; Nicolás Arnaldos, Francisco Javier; Zamorano García, Bruno; DUNE CollaborationEditorial
Springer Nature
Date
2023-07-14Referencia bibliográfica
Abud, A.A., Abi, B., Acciarri, R. et al. Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora. Eur. Phys. J. C 83, 618 (2023). [https://doi.org/10.1140/epjc/s10052-023-11733-2]
Patrocinador
CERN; CERN management; CERN EP; European Union (EU); H2020-EU; Acciones Marie Sklodowska-Curie (MSCA); CAM, Fundacion "La Caixa"; Junta de Andalucia-FEDER, Spain; Spanish Government; Xunta de GaliciaRésumé
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.