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Classifier for centrality determination with zero-degree calorimeter at the cooling-storage-ring external-target experiment
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作者 Biao Zhang Li‑Ke Liu +3 位作者 Hua Pei Shu‑Su Shi Nu Xu Ya‑Ping Wang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2023年第11期168-173,共6页
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(B... 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. 展开更多
关键词 ZDC Boosted decision trees MULTI-CLASSIFICATION IQMD Centrality determination
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