Paricle Identification at VAMOS++ with Machine Learning Techniques
Y. Cho, Y. H. Kim, S. Choi,J. Park,S. Bae,K. I. Hahn,Y. Son,A. Navin,A. Lemasson,M. Rejmund,D. Ramos,D. Ackermann,A. Utepov, C. Fourgeres,J. C. Thomas,J. Goupil,G. Fremont,G. de France,Y. X. Watanabe,Y. Hirayama,S. Jeong,T. Niwase,H. Miyatake,P. Schury,M. Rosenbusch,K. Chae,C. Kim, S. Kim,G. M. Gu, M. J. Kim,P. John,A. N. Andreyev,W. Korten,F. Recchia,G. de Angelis,R. Perez Vidal,K. Rezynkina,J. Ha,F. Didierjean,P. Marini, D. Treasa,I. Tsekhanovich,J. Dudouet,S. Bhattacharyya,G. Mukherjee,R. Banik, S. Bhattacharya,M. Mukai NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS（2023）
Key words
VAMOS plus plus,Machine learning,Multi-nucleon transfer reaction
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