Applying machine learning to determine impact parameter in nuclear physics experiments

C.Y. Tsang, 2 Yongjia Wang, M.B. Tsang, 2 J. Estee, 2 T. Isobe, M. Kaneko, 5 M. Kurata-Nishimura, J.W. Lee, Fupeng Li, 7 Qingfeng Li, 8 W.G. Lynch, 2 T. Murakami, 5 R. Wang, Dan Cozma, Rohit Kumar, Akira Ono, and Ying-Xun Zhang National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, Michigan 48824, USA Department of Physics, Michigan State University, East Lansing, Michigan 48824, USA School of Science, Huzhou University, Huzhou 313000, China RIKEN Nishina Center, Hirosawa 2-1, Wako, Saitama 351-0198, Japan Department of Physics, Kyoto University, Kita-shirakawa, Kyoto 606-8502, Japan Department of Physics, Korea University, Seoul 02841, Republic of Korea College of Science, Zhejiang University of Technology, Hangzhou 310014, China Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China IFIN-HH, Reactorului 30, 077125 Mǎgurele-Bucharest, Romania Department of Physics, Tohoku University, Sendai 980-8578, Japan China Institute of Atomic Energy, Beijing 102413, China (Dated: July 30, 2021)