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Application of machine learning in the determination of impact parameter in theSn132+Sn124system
Physical Review C ( IF 3.2 ) Pub Date : 2021-09-07 , DOI: 10.1103/physrevc.104.034608
Fupeng Li , Yongjia Wang , Zepeng Gao , Pengcheng Li , Hongliang Lü , Qingfeng Li , C. Y. Tsang , M. B. Tsang

Background: Sn132+Sn124 collisions at a beam energy of 270 MeV/nucleon were performed at the Radioactive Isotope Beam Factory (RIBF) in RIKEN to investigate the nuclear equation of state. Reconstructing the impact parameter is one of the important tasks in the experiment as it relates to many observables.

中文翻译:

机器学习在Sn132+Sn124系统冲击参数测定中的应用

背景: 132+124 碰撞能量为 270 电动汽车/核子在 RIKEN 的放射性同位素束工厂 (RIBF) 进行,以研究核状态方程。重建影响参数是实验中的重要任务之一,因为它涉及到许多可观察量。
更新日期:2021-09-07
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