Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

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 De...

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Detalles Bibliográficos
Autores: Abud, A. Abed, Amedo, P., Antonova, M., Barenboim, Gabriela, Cervera Villanueva, Anselmo, De Romeri, V., Fernandez Menendez, P., García-Peris, M.A., Martín-Albo, Justo, Martínez-Miravé, Pablo, Mena, Olga, Molina Bueno, Laura, Novella, Pau, Pompa, Federica, Rocabado Rocha, J.L., Sorel, Michel, Ternes, C.A, Tórtola, Mariam, Valle, J.W.F., DUNE Collaboration
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/364133
Acceso en línea:http://hdl.handle.net/10261/364133
Access Level:acceso abierto
Descripción
Sumario: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.