This work was supported in part by the National Nature Science Foundation of China (NSFC) (Nos. 11927901 and 12175084), the National Key Research and Development Program of China (Nos. 2020YFE0202002 and 2022YFA1604900), and the Fundamental Research Funds for the Central Universities (No. CCNU22QN005).
机构署名：
本校为第一且通讯机构
院系归属：
物理科学与技术学院
摘要：
The zero-degree calorimeter (ZDC) plays a crucial role toward determining the centrality in the Cooling-Storage-Ring External-target Experiment (CEE) at the Heavy Ion Research Facility in Lanzhou. A boosted decision tree (BDT) multi-classification algorithm was employed to classify the centrality of the collision events based on the raw features from ZDC such as the number of fired channels and deposited energy. The data from simulated
$$^{238}\textrm{U}$$
+
$$^{238}\textrm{U}$$
collisions at 500
$$\mathrm{MeV/u}$$...
