Classifier for centrality determination with zero-degree calorimeter at the cooling-storage-ring external-target experiment

作     者：Biao Zhang Li‑Ke Liu Hua Pei Shu‑Su Shi Nu Xu Ya‑Ping Wang Biao Zhang;Li-Ke Liu;Hua Pei;Shu-Su Shi;Nu Xu;Ya-Ping Wang

作者机构：Key Laboratory of Quark and Lepton Physics(MOE)and Institute of Particle PhysicsCentral China Normal UniversityWuhan 430079China 

出 版 物：《Nuclear Science and Techniques》 (核技术（英文）)

年 卷 期：2023年第34卷第11期

页      面：168-173页

核心收录：

学科分类：0711[理学-系统科学] 08[工学] 0827[工学-核科学与技术] 082701[工学-核能科学与工程] 0701[理学-数学] 

基　　金：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) the Fundamental Research Funds for the Central Universities(No.CCNU22QN005). 

主　　题：ZDC Boosted decision trees Multi-classification IQMD Centrality determination 

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)U+^(238)U collisions at 500 MeV∕u,generated by the IQMD event generator and subsequently modeled using the GEANT4 package,were employed to train and test the BDT model.The results showed the high accuracy of the multi-classification model adopted in ZDC for centrality determination,which is robust against variations in different factors of detector geometry and response.This study demon-strates the good performance of CEE-ZDC in determining the centrality in nucleus-nucleus collisions.