High-performance Generic Neutrino Detection in a LArTPC near the Earth's Surface with the MicroBooNE Detector
MicroBooNE collaboration, P. Abratenko, M. Alrashed, R. An, J. Anthony, J. Asaadi, A. Ashkenazi, S. Balasubramanian, B. Baller, C. Barnes, G. Barr, V. Basque, L… 展开作者
MicroBooNE collaboration, P. Abratenko, M. Alrashed, R. An, J. Anthony, J. Asaadi, A. Ashkenazi, S. Balasubramanian, B. Baller, C. Barnes, G. Barr, V. Basque, L. Bathe-Peters, O. Benevides Rodrigues, S. Berkman, A. Bhanderi, A. Bhat, M. Bishai, A. Blake, T. Bolton, L. Camilleri, D. Caratelli, I. Caro Terrazas, R. Castillo Fernandez, F. Cavanna, G. Cerati, Y. Chen, E. Church, D. Cianci, J. M. Conrad, M. Convery, L. Cooper-Troendle, J. I. Crespo-Anadon, M. Del Tutto, D. Devitt, R. Diurba, L. Domine, R. Dorrill, K. Duffy, S. Dytman, B. Eberly, A. Ereditato, L. Escudero Sanchez, J. J. Evans, G. A. Fiorentini Aguirre, R. S. Fitzpatrick, B. T. Fleming, N. Foppiani, D. Franco, A. P. Furmanski, D. Garcia-Gamez, S. Gardiner, G. Ge, S. Gollapinni, O. Goodwin, E. Gramellini, P. Green, H. Greenlee, W. Gu, R. Guenette, P. Guzowski, L. Hagaman, E. Hall, P. Hamilton, O. Hen, G. A. Horton-Smith, A. Hourlier, E. C. Huang, R. Itay, C. James, J. Jan de Vries, X. Ji, L. Jiang, J. H. Jo, R. A. Johnson, Y. J. Jwa, N. Kamp, N. Kaneshige, G. Karagiorgi, W. Ketchum, B. Kirby, M. Kirby, T. Kobilarcik, I. Kreslo, R. LaZur, I. Lepetic, K. Li, Y. Li, B. R. Littlejohn, D. Lorca, W. C. Louis, X. Luo, A. Marchionni, C. Mariani, D. Marsden, J. Marshall, J. Martin-Albo, D. A. Martinez Caicedo, K. Mason, A. Mastbaum, N. McConkey, V. Meddage, T. Mettler, K. Miller, J. Mills, K. Mistry, T. Mohayai, A. Mogan, J. Moon, M. Mooney, A. F. Moor, C. D. Moore, L. Mora Lepin, J. Mousseau, M. Murphy, D. Naples, A. Navrer-Agasson, R. K. Neely, P. Nienaber, J. Nowak, O. Palamara, V. Paolone, A. Papadopoulou, V. Papavassiliou, S. F. Pate, A. Paudel, Z. Pavlovic, E. Piasetzky, I. Ponce-Pinto, D. Porzio, S. Prince, X. Qian, J. L. Raaf, V. Radeka, A. Rafique, M. Reggiani-Guzzo, L. Ren, L. Rochester, J. Rodriguez Rondon, H. E. Rogers, M. Rosenberg, M. Ross-Lonergan, B. Russell, G. Scanavini, D. W. Schmitz, A. Schukraft, W. Seligman, M. H. Shaevitz, R. Sharankova, J. Sinclair, A. Smith, E. L. Snider, M. Soderberg, S. Soldner-Rembold, S. R. Soleti, P. Spentzouris, J. Spitz, M. Stancari, J. St. John, T. Strauss, K. Sutton, S. Sword-Fehlberg, A. M. Szelc, N. Tagg, W. Tang, K. Terao, C. Thorpe, M. Toups, Y. -T. Tsai, S. Tufanli, M. A. Uchida, T. Usher, W. Van De Pontseele, B. Viren, M. Weber, H. Wei, Z. Williams, S. Wolbers, T. Wongjirad, M. Wospakrik, W. Wu, E. Yandel, T. Yang, G. Yarbrough, L. E. Yates, H. W. Yu, G. P. Zeller, J. Zennamo, C. Zhang
备注：
8 pages, 2 figures
发表信息：
Expanded into a long paper and published in Phys. Rev. Applied 15, 064071 (2021)
Large Liquid Argon Time Projection Chambers (LArTPCs) are being increasingly adopted in neutrino oscillation experiments because of their superb imaging capabilities through the combination of both tracking and calorimetry in a fully active volume. Active LArTPC neutrino detectors at or near the Earth's surface, such as the MicroBooNE experiment, present a unique analysis challenge because of the large flux of cosmic-ray muons and the slow drift of ionization electrons. We present a novel Wire-Cell-based high-performance generic neutrino-detection technique implemented in MicroBooNE. The cosmic-ray background is reduced by a factor of 1.4$\times10^{5}$ resulting in a 9.7\% cosmic contamination in the selected neutrino candidate events, for visible energies greater than 200~MeV, while the neutrino signal efficiency is retained at 88.4\% for $ν_μ$ charged-current interactions in the fiducial volume in the same energy region. This significantly improved performance compared to existing reconstruction algorithms, marks a major milestone toward reaching the scientific goals of LArTPC neutrino oscillation experiments operating near the Earth's surface.
Wire-Cell 3D Pattern Recognition Techniques for Neutrino Event Reconstruction in Large LArTPCs: Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation
Measurement of the Flux-Averaged Inclusive Charged-Current Electron Neutrino and Antineutrino Cross Section on Argon using the NuMI Beam and the MicroBooNE Detector
A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
Yale University（耶鲁大学）；Kansas State University（堪萨斯州立大学）；Illinois Institute of Technology（伊利诺伊理工学院）；University of Cambridge（剑桥大学）；University of Texas, Arlington（德克萨斯大学阿灵顿分校）；Massachusetts Institute of Technology（麻省理工学院）；Universität Bern（伯尔尼大学）；Fermi National Accelerator Laboratory（费米国家加速器实验室）；University of Michigan（密歇根大学）；University of Oxford（牛津大学）；Brookhaven National Laboratory（布鲁克海文国家实验室）；TUBITAK Space Technologies Research Institute（土耳其科学技术研究理事会空间技术研究所）；Syracuse University（雪城大学）；Pacific Northwest National Laboratory（太平洋西北国家实验室）；Lancaster University（兰卡斯特大学）
First application of a liquid argon time projection chamber for the search for intranuclear neutron-antineutron transitions and annihilation in $^{40}$Ar using the MicroBooNE detector
