Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching. (30th June 2021)

• Record Type: Journal Article
• Authors: Abratenko, P.; Alrashed, M.; An, R.; Anthony, J.; Asaadi, J.; Ashkenazi, A.; Balasubramanian, S.; Baller, B.; Barnes, C.; Barr, G.; Basque, V.; Bathe-Peters, L.; Benevides Rodrigues, O.; Berkman, S.; Bhanderi, A.; Bhat, A.; Bishai, M.; Blake, A.; Bolton, T.; Camilleri, L.; Caratelli, D.; Caro Terrazas, I.; Castillo Fernandez, R.; Cavanna, F.; Cerati, G.; Chen, Y.; Church, E.; Cianci, D.; Conrad, J.M.; Convery, M.; Cooper-Troendle, L.; Crespo-Anadón, J.I.; Del Tutto, M.; Devitt, D.; Diurba, R.; Domine, L.; Dorrill, R.; Duffy, K.; Dytman, S.; Eberly, B.; Ereditato, A.; Escudero Sanchez, L.; Evans, J.J.; Fiorentini Aguirre, G.A.; Fitzpatrick, R.S.; Fleming, B.T.; Foppiani, N.; Franco, D.; Furmanski, A.P.; Garcia-Gamez, D.; Gardiner, S.; Ge, G.; Gollapinni, S.; Goodwin, O.; Gramellini, E.; Green, P.; Greenlee, H.; Gu, W.; Guenette, R.; Guzowski, P.; Hall, E.; Hamilton, P.; Hen, O.; Horton-Smith, G.A.; Hourlier, A.; Huang, E.C.; Itay, R.; James, C.; Jan de Vries, J.; Ji, X.; Jiang, L.; Jo, J.H.; Johnson, R.A.; Jwa, Y.-J.; Kamp, N.; Karagiorgi, G.; Ketchum, W.; Kirby, B.; Kirby, M.; Kobilarcik, T.; Kreslo, I.; LaZur, R.; Lepetic, I.; Li, K.; Li, Y.; Littlejohn, B.R.; Lorca, D.; Louis, W.C.; Luo, X.; Marchionni, A.; Marcocci, S.; Mariani, C.; Marsden, D.; Marshall, J.; Martin-Albo, J.; Martinez Caicedo, D.A.; Mason, K.; Mastbaum, A.; McConkey, N.; Meddage, V.; Mettler, T.; Miller, K.; Mills, J.; Mistry, K.; Mogan, A.; Mohayai, T.; Moon, J.; Mooney, M.; Moor, A.F.; Moore, C.D.; Mousseau, J.; Murphy, M.; Naples, D.; Navrer-Agasson, A.; Neely, R.K.; Nienaber, P.; Nowak, J.; Palamara, O.; Paolone, V.; Papadopoulou, A.; Papavassiliou, V.; Pate, S.F.; Paudel, A.; Pavlovic, Z.; Piasetzky, E.; Ponce-Pinto, I.D.; Porzio, D.; Prince, S.; Qian, X.; Raaf, J.L.; Radeka, V.; Rafique, A.; Reggiani-Guzzo, M.; Ren, L.; Rochester, L.; Rodriguez Rondon, J.; Rogers, H.E.; Rosenberg, M.; Ross-Lonergan, M.; Russell, B.; Scanavini, G.; Schmitz, D.W.; Schukraft, A.; Shaevitz, M.H.; Sharankova, R.; Sinclair, J.; Smith, A.; Snider, E.L.; Soderberg, M.; Söldner-Rembold, S.; Soleti, S.R.; Spentzouris, P.; Spitz, J.; Stancari, M.; St. John, J.; Strauss, T.; Sutton, K.; Sword-Fehlberg, S.; Szelc, A.M.; Tagg, N.; Tang, W.; Terao, K.; Thorpe, C.; Toups, M.; Tsai, Y.-T.; Tufanli, S.; Uchida, M.A.; Usher, T.; Van De Pontseele, W.; Viren, B.; Weber, M.; Wei, H.; Williams, Z.; Wolbers, S.; Wongjirad, T.; Wospakrik, M.; Wu, W.; Yang, T.; Yarbrough, G.; Yates, L.E.; Yu, H.W.; Zeller, G.P.; Zennamo, J.; Zhang, C.;
• Other Names: collab.
• Is Part Of: Journal of instrumentation. Volume 16:Number 6(2021)
• Publication Date: 2021-06-30
• Subjects: Data processing methods -- Neutrino detectors -- Pattern recognition, cluster finding, calibration and fitting methods -- Time projection chambers; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/16/06/P06043
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current and future neutrino experiments that rely on massive LArTPCs create a need for new ideas and reconstruction approaches. Wire-Cell, proposed in recent years, is a novel tomographic event reconstruction method for LArTPCs. The Wire-Cell 3D imaging approach capitalizes on charge, sparsity, time, and geometry information to reconstruct a topology-agnostic 3D image of the ionization electrons prior to pattern recognition. A second novel method, the many-to-many charge-light matching, then pairs the TPC charge activity to the detected scintillation light signal, thus enabling a powerful rejection of cosmic-ray muons in the MicroBooNE detector. A robust processing of the scintillation light signal and an appropriate clustering of the reconstructed 3D image are fundamental to this technique. In this paper, we describe the principles and algorithms of these techniques and their successful application in the MicroBooNE experiment. A quantitative evaluation of the performance of these techniques is presented. Using these techniques, a 95% efficient pre-selection of neutrino charged-current events is achieved with a 30-fold reduction of non-beam-coincident cosmic-ray muons, and about 80% of the selected neutrino charged-current events are reconstructed with at least 70% completeness and 80% purity.