no code implementations • 11 Mar 2023 • S. Li, I. Ostrovskiy, Z. Li, L. Yang, S. Al Kharusi, G. Anton, I. Badhrees, P. S. Barbeau, D. Beck, V. Belov, T. Bhatta, M. Breidenbach, T. Brunner, G. F. Cao, W. R. Cen, C. Chambers, B. Cleveland, M. Coon, A. Craycraft, T. Daniels, L. Darroch, S. J. Daugherty, J. Davis, S. Delaquis, A. Der Mesrobian-Kabakian, R. DeVoe, J. Dilling, A. Dolgolenko, M. J. Dolinski, J. Echevers, W. Fairbank Jr., D. Fairbank, J. Farine, S. Feyzbakhsh, P. Fierlinger, Y. S. Fu, D. Fudenberg, P. Gautam, R. Gornea, G. Gratta, C. Hall, E. V. Hansen, J. Hoessl, P. Hufschmidt, M. Hughes, A. Iverson, A. Jamil, C. Jessiman, M. J. Jewell, A. Johnson, A. Karelin, L. J. Kaufman, T. Koffas, R. Krücken, A. Kuchenkov, K. S. Kumar, Y. Lan, A. Larson, B. G. Lenardo, D. S. Leonard, G. S. Li, C. Licciardi, Y. H. Lin, R. MacLellan, T. McElroy, T. Michel, B. Mong, D. C. Moore, K. Murray, O. Njoya, O. Nusair, A. Odian, A. Perna, A. Piepke, A. Pocar, F. Retière, A. L. Robinson, P. C. Rowson, J. Runge, S. Schmidt, D. Sinclair, K. Skarpaas, A. K. Soma, V. Stekhanov, M. Tarka, S. Thibado, J. Todd, T. Tolba, T. I. Totev, R. Tsang
Generative Adversarial Networks trained on samples of simulated or actual events have been proposed as a way of generating large simulated datasets at a reduced computational cost.
no code implementations • 18 Jul 2019 • C. A. Argüelles, A. J. Aurisano, B. Batell, J. Berger, M. Bishai, T. Boschi, N. Byrnes, A. Chatterjee, A. Chodos, T. Coan, Y. Cui, A. de Gouvêa, P. B. Denton, A. De Roeck, W. Flanagan, R. P. Gandrajula, A. Hatzikoutelis, M. Hostert, B. Jones, B. J. Kayser, K. J. Kelly, D. Kim, J. Kopp, A. Kubik, K. Lang, I. Lepetic, P. Machado, C. A Moura, F. Olness, J. C. Park, S. Pascoli, S. Prakash, L. Rogers, I. Safa, A. Schneider, K. Scholberg, S. Shin, I. M. Shoemaker, G. Sinev, B. Smithers, A. Sousa, Y. Sui, V. Takhistov, J. Thomas, J. Todd, Y. -D. Tsai, Y. -T. Tsai, D. Vanegas Forero, J. Yu, C. Zhang
With the advent of a new generation of neutrino experiments which leverage high-intensity neutrino beams for precision measurements, it is timely to explore physics topics beyond the standard neutrino-related physics.
High Energy Physics - Phenomenology High Energy Physics - Experiment