Litcius/Paper detail

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, Mark Adamowski, D. L. Adams, M. Adinolfi, C. Adriano, Antoni Aduszkiewicz, J. Aguilar, Zahid Ahmad, J. Ahmed, B. Aimard, F. Akbar, B. Ali-Mohammadzadeh, K. K. Allison, S. Alonso Monsalve, M. Alrashed, C. Alt, A. Alton, R. Alvarez, P. Amedo, John Anderson, C. Andreopoulos, M. Andreotti, M. P. Andrews, F. Andrianala, S. Andringa, Н. Анфимов, Artur M. Ankowski, M. Antoniassi, M. Antonova, A. Antoshkin, Stefan Antusch, Alfredo Aranda, L. Arellano, L. O. Arnold, M. A. Arroyave, J. Asaadi, L. Asquith, A. Aurisano, V. Aushev, D. Autiero, V. Ayala Lara, M. Ayala-Torres, F. Azfar, H.O. Back, H.O. Back, J. J. Back, C. Backhouse, I. Bagaturia, L. Bagby, N. Balashov, S. Balasubramanian, Pierre Baldi, B. Baller, B. Bambah, F. Barão, Gabriela Barenboim, Gareth J. Barker, Wayne Barkhouse, C. Barnes, G. Barr, J. Barranco Monarca, A. L. F. de Barros, N. Barros, J. Barrow, A. Basharina-Freshville, A. Bashyal, V. Basque, C. Batchelor, James Battat, Francesca De Battisti, F. Bay, M. C. Q. Bazetto, J. L. Bazo Alba, J. F. Beacom, E. Bechetoille, B. Behera, E. Belchior Batista Das Chagas, L. Bellantoni, G. Bellettini, Vincenzo Bellini, O. Beltramello, N. Benekos, C. Benitez Montiel, F. Neves, J. Berger, S. Berkman, P. Bernardini, R. M. Berner, A. Bersani, S. Bertolucci, M. Betancourt, A. Betancur Rodríguez, A. J. Bevan, Y. Bezawada, Anibal Bezerra

2023The European Physical Journal C16 citationsDOIOpen Access PDF

Abstract

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 $$\pm 0.6$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>±</mml:mo> <mml:mn>0.6</mml:mn> </mml:mrow> </mml:math> % and 84.1 $$\pm 0.6$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>±</mml:mo> <mml:mn>0.6</mml:mn> </mml:mrow> </mml:math> %, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation.

Topics & Concepts

Particle identificationNeutrinoAlgorithmProjection (relational algebra)DetectorPhysicsNuclear physicsMachine learningComputer scienceOpticsParticle physics theoretical and experimental studiesNeutrino Physics ResearchParticle Detector Development and Performance