D. Caratelli, W. Foreman, A. Friedland, S. Gardiner, I. Gil-Botella, G. Karagiorgi, M. Kirby, G. Lehmann Miotto, B. R. Littlejohn, M. Mooney, J. Reichenbacher, … 展开作者
D. Caratelli, W. Foreman, A. Friedland, S. Gardiner, I. Gil-Botella, G. Karagiorgi, M. Kirby, G. Lehmann Miotto, B. R. Littlejohn, M. Mooney, J. Reichenbacher, A. Sousa, K. Scholberg, J. Yu, T. Yang, S. Andringa, J. Asaadi, T. J. C. Bezerra, F. Capozzi, F. Cavanna, E. Church, A. Himmel, T. Junk, J. Klein, I. Lepetic, S. Li, P. Sala, H. Schellman, M. Sorel, J. Wang, M. H. L. S. Wang, W. Wu, J. Zennamo, M. A. Acero, M. R. Adames, H. Amar, D. A. Andrade, C. Andreopoulos, A. M. Ankowski, M. A. Arroyave, V. Aushev, M. A. Ayala-Torres, P. Baldi, C. Backhouse, A. B. Balantekin, W. A. Barkhouse, P. Barham Alzas, J. L. Barrow, J. B. R. Battat, M. C. Q. Bazetto, J. F. Beacom, B. Behera, G. Bellettini, J. Berger, A. T. Bezerra, J. Bian, B. Bilki, B. Bles, T. Bolton, L. Bomben, M. Bonesini, C. Bonilla-Diaz, F. Boran, A. N. Borkum, N. Bostan, D. Brailsford, A. Branca, G. Brunetti, T. Cai, A. Chappell, N. Charitonidis, P. H. P. Cintra, E. Conley, T. E. Coan, P. Cova, L. M. Cremaldi, J. I. Crespo-Anadon, C. Cuesta, R. Dallavalle, G. S. Davies, S. De, P. Dedin Neto, M. Delgado, N. Delmonte, P. B. Denton, A. De Roeck, R. Dharmapalan, Z. Djurcic, F. Dolek, S. Doran, R. Dorrill, K. E. Duffy, B. Dutta, O. Dvornikov, S. Edayath, J. J. Evans, A. C. Ezeribe, A. Falcone, M. Fani, J. Felix, Y. Feng, L. Fields, P. Filip, G. Fiorillo, D. Franco, D. Garcia-Gamez, A. Giri, O. Gogota, S. Gollapinni, M. Goodman, E. Gramellini, R. Gran, P. Granger, C. Grant, S. E. Greenberg, M. Groh, R. Guenette, D. Guffanti, D. A. Harris, A. Hatzikoutelis, K. M. Heeger, M. Hernandez Morquecho, K. Herner, J. Ho, P C. Holanda, N. Ilic, C. M. Jackson, W. Jang, H. -Th. Janka, J. H. Jo, F. R. Joaquim, R. S. Jones, N. Jovancevic, Y. -J. Jwa, D. Kalra, D. M. Kaplan, I. Katsioulas, E. Kearns, K. J. Kelly, E. Kemp, W. Ketchum, A. Kish, L. W. Koerner, T. Kosc, K. Kothekar, I. Kreslo, S. Kubota, V. A. Kudryavtsev, P. Kumar, T. Kutter, J. Kvasnicka, I. Lazanu, T. LeCompte, Y. Li, Y. Liu, M. Lokajicek, W. C. Louis, K. B. Luk, X. Luo, P. A. N. Machado, I. M. Machulin, K. Mahn, M. Man, R. C. Mandujano, J. Maneira, A. Marchionni, D. Marfatia, F. Marinho, C. Mariani, C. M. Marshall, F. Martinez Lopez, D. A. Martinez Caicedo, A. Mastbaum, M. Matheny, N. McConkey, P. Mehta, O. E. B. Messer, A. Minotti, O. G. Miranda, P. Mishra, I. Mocioiu, A. Mogan, R. Mohanta, T. Mohayai, C. Montanari, L. M. Montano Zetina, A. F. Moor, D. Moretti, C. A. Moura, L. M. Mualem, J. Nachtman, S. Narita, A. Navrer-Agasson, M. Nebot-Guinot, J. Nikolov, J. A. Nowak, J. P. Ochoa-Ricoux, E. O'Connor, Y. Onel, Y. Onishchuk, G. D. Orebi Gann, V. Pandey, E. G. Parozzi, S. Parveen, M. Parvu, R. B. Patterson, L. Paulucci, V. Pec, S. J. M. Peeters, F. Pompa, N. Poonthottathil, S. S. Poudel, F. Psihas, A. Rafique, B. J. Ramson, J. S. Real, A. Rikalo, M. Ross-Lonergan, B. Russell, S. Sacerdoti, N. Sahu, D. A. Sanders, D. Santoro, M. V. Santos, C. R. Senise, P. N. Shanahan, H. R Sharma, R. K. Sharma, W. Shi, S. Shin, J. Singh, J. Singh, L. Singh, P. Singh, V. Singh, M. Soderberg, S. Soldner-Rembold, J. Soto-Oton, K. Spurgeon, A. F. Steklain, F. Stocker, T. Stokes, J. Strait, M. Strait, T. Strauss, L. Suter, R. Svoboda, A. M. Szelc, M. Szydagis, E. Tarpara, E. Tatar, F. Terranova, G. Testera, N. Chithirasree, N. Todorovic, A. Tonazzo, M. Torti, F. Tortorici, M. Toups, D. Q. Tran, M. Travar, Y. -D. Tsai, Y. -T. Tsai, S. Z. Tu, J. Urheim, H. Utaegbulam, S. Valder, G. A. Valdiviesso, R. Valentim, S. Vergani, B. Viren, A. Vranicar, B. Wang, D. Waters, P. Weatherly, M. Weber, H. Wei, S. Westerdale, L. H. Whitehead, D. Whittington, A. Wilkinson, R. J. Wilson, M. Worcester, K. Wresilo, B. Yaeggy, G. Yang, J. Zalesak, B. Zamorano, J. Zuklin
In this white paper, we outline some of the scientific opportunities and challenges related to detection and reconstruction of low-energy (less than 100 MeV) signatures in liquid argon time-projection chamber (LArTPC) detectors. Key takeaways are summarized as follows. 1) LArTPCs have unique sensitivity to a range of physics and astrophysics signatures via detection of event features at and below the few tens of MeV range. 2) Low-energy signatures are an integral part of GeV-scale accelerator neutrino interaction final states, and their reconstruction can enhance the oscillation physics sensitivities of LArTPC experiments. 3) BSM signals from accelerator and natural sources also generate diverse signatures in the low-energy range, and reconstruction of these signatures can increase the breadth of BSM scenarios accessible in LArTPC-based searches. 4) Neutrino interaction cross sections and other nuclear physics processes in argon relevant to sub-hundred-MeV LArTPC signatures are poorly understood. Improved theory and experimental measurements are needed. Pion decay-at-rest sources and charged particle and neutron test beams are ideal facilities for experimentally improving this understanding. 5) There are specific calibration needs in the low-energy range, as well as specific needs for control and understanding of radiological and cosmogenic backgrounds. 6) Novel ideas for future LArTPC technology that enhance low-energy capabilities should be explored. These include novel charge enhancement and readout systems, enhanced photon detection, low radioactivity argon, and xenon doping. 7) Low-energy signatures, whether steady-state or part of a supernova burst or larger GeV-scale event topology, have specific triggering, DAQ and reconstruction requirements that must be addressed outside the scope of conventional GeV-scale data collection and analysis pathways.
Scintillation light detection in the 6-m drift length ProtoDUNE Dual Phase liquid argon TPC
深地下中微子实验（DUNE）是长基线中微子振荡研究、中微子天体物理学和核子衰变研究的前沿实验。ProtoDUNE-Dual Phase（DP）是一个6x6 x6 m $^3$液氩时间投影室（LArTPC），于2019-2020年在CERN中微子平台上运行，作为DUNE远探测器的原型。在ProtoDUNE-DP中，LArTPC中宇宙μ子产生的闪烁和电致发光由放置在离电离轨道7米远的光电倍增管收集。在本文中，我们提出了性能的ProtoDUNE-DP光子探测系统，比较不同的波长移动技术和使用的氙掺杂LAr作为一个有前途的选择，为未来的大型LArTPC。闪烁光的产生和传播过程进行了分析，并与模拟进行了比较，提高了对液态氩特性的理解。
Modeling Light Signals Using Data from the First Pulsed Neutron Source Program at the DUNE Vertical Drift ColdBox Test Facility at CERN Neutrino Platform
Fermi National Accelerator Laboratory（费米国家加速器实验室）；Stony Brook University, SUNY（石溪大学，纽约州立大学）；South Dakota School of Mines and Technology（南达科他矿业和理工学院）；CERN（欧洲核子研究中心）；Tel Aviv University（特拉维夫大学）；University of Milano-Bicocca（米兰比可卡大学）；Argonne National Laboratory（阿贡国家实验室）；Colorado State University（科罗拉多州立大学）；Laboratoire d’Annecy-le-Vieux de Physique des Particules（昂纳西勒沃粒子物理实验室）；Università degli Studi di Milano（米兰大学）；University of California Davis（加州大学戴维斯分校）；Los Alamos National Laboratory（洛斯阿拉莫斯国家实验室）；University of Minnesota Twin Cities（明尼苏达大学双城分校）
Wire-Cell 3D Pattern Recognition Techniques for Neutrino Event Reconstruction in Large LArTPCs: Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation
Physics at the Edge: Benchmarking Quantisation Techniques and the Edge TPU for Neutrino Interaction Recognition
King’s College London（伦敦国王学院）；University of Cambridge（剑桥大学）；University of Rochester（罗切斯特大学）；Fermi National Accelerator Laboratory（费米国家加速器实验室）；Politecnico di Milano（米兰理工大学）
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers
Stanford University（斯坦福大学）；SLAC National Accelerator Laboratory（SLAC国家加速器实验室）
