Classifier for centrality determination with zero-degree calorimeter at the cooling-storage-ring external-target experiment
- Resource Type
- Academic Journal
- Authors
- Biao Zhang; Li-Ke Liu; Hua Pei; Shu-Su Shi; Nu Xu; Ya-Ping Wang
- Source
- 核技术(英文版) / Nuclear Science and Techniques. 34(11):168-173
- Subject
- ZDC
Boosted decision trees
Multi-classification
IQMD
Centrality determination
- Language
- Chinese
- ISSN
- 1001-8042
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 238U+238U 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.