Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching

Journal Article · Wed Jun 30 00:00:00 EDT 2021 · Journal of Instrumentation

DOI:https://doi.org/10.1088/1748-0221/16/06/p06043· OSTI ID:1836523

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.

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.

• Research Organization: Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Univ. of Michigan, Ann Arbor, MI (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF); USDOE Office of Science (SC), Nuclear Physics (NP)
• Contributing Organization: MicroBooNE Collaboration; MicroBooNE; The MicroBooNE Collaboration
• Grant/Contract Number: SC0020262; AC02-07CH11359; SC0012704; SC0007859
• OSTI ID: 1836523
• Alternate ID(s): OSTI ID: 1764046; OSTI ID: 1773125; OSTI ID: 1866746
• Report Number(s): FERMILAB-PUB-20-578-ND; arXiv:2011.01375; BNL-221211-2021-JAAM
• Journal Information: Journal of Instrumentation, Vol. 16, Issue 06; ISSN 1748-0221
• Publisher: Institute of Physics (IOP)
• Country of Publication: United States
• Language: English

Related Subjects

47 OTHER INSTRUMENTATION
LArTPC
MicroBooNE
Wire-Cell
3D imaging
charge-light matching
clustering
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
73 NUCLEAR PHYSICS AND RADIATION PHYSICS
Data processing methods
Neutrino detectors
Pattern recognition
cluster finding
calibration and fitting methods
Time projection chambers