Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in 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
For a large liquid argon time projection chamber (LArTPC) operating on or near the Earth's surface to detect neutrino interactions, the rejection of cosmogenic background is a critical and challenging task because of the large cosmic ray flux and the long drift time of the TPC. We introduce a superior cosmic background rejection procedure based on the Wire-Cell three-dimensional (3D) event reconstruction for LArTPCs. From an initial 1:20,000 neutrino to cosmic-ray background ratio, we demonstrate these tools on data from the MicroBooNE experiment and create a high performance generic neutrino event selection with a cosmic contamination of 14.9\% (9.7\%) for a visible energy region greater than O(200)~MeV. The neutrino interaction selection efficiency is 80.4\% and 87.6\% for inclusive $ν_μ$ charged-current and $ν_e$ charged-current interactions, respectively. 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
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）
DarkSide-20k: A 20 Tonne Two-Phase LAr TPC for Direct Dark Matter Detection at LNGS
在操作DarkSide-50探测器的成功经验的基础上，DarkSide合作组织将建造DarkSide-20 k，这是一种直接WIMP搜索探测器，使用两相液体氩时间投影室（LArTPC），有效（基准）质量为23 t（20 t）。DarkSide-20 k LArTPC将被部署在一个护盾/否决器内，在圆柱形的水切伦科夫否决器（WCV）内有一个球形的液体闪烁器否决器（LSV）。DarkSide-50的运行表明，在应用脉冲形状分析之前，当使用从地下源提取的氩时，占主导地位的$^{39}$ Ar背景显著降低。从DarkSide-50的数据，与MC模拟和分析建模相结合，显示了一个拒绝因子之间的歧视$\gt3\times10^9$的电子和核反冲是可以实现的。这与否决系统的使用一起，是解锁大LArTPC探测器质量的关键，同时保持“无仪器背景”实验，在计划曝光期间，在WIMP搜索区域内预计发生不到0.1个事件（PDMATHAMO引起的核反冲除外）的实验。DarkSide-20 k将具有比原位测量的超低背景。对于$1$ TeV $/c^2$（$10$ TeV $/c^2$）质量的WIMP，这将给出$1.2\times10^{-47}$ cm $^2$（$1.1\times10^{-46}$ cm $^2$）的WIMP-核子截面的灵敏度，在5年运行期间产生100 t/年的无任何仪器背景的曝光。DarkS…
