Simulation and experimental comparison of the performance of four-corner-readout plastic scintillator muon-detector system  

作　　者：Lie He Si-Yuan Luo Xiang-Man Liu Yu-Cheng Zou Hai-Feng Zhang Wan-Cheng Xiao Yu-He Huang Xiao-Dong Wang 

机构地区：[1]School of Nuclear Science and Technology,University of South China,Hengyang 421001,China [2]Key Laboratory of Advanced Nuclear Energy Design and Safety(MOE),University of South China,Hengyang 421001,China [3]Institute of Modern Physics,Chinese Academy of Sciences,Lanzhou 730000,China [4]School of Nuclear Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China [5]School of Nuclear Science and Technology,Lanzhou University,Lanzhou 730000,China [6]School of Physical Sciences,University of Science and Technology of China,Hefei 230026,China

出　　处：《Nuclear Science and Techniques》2024年第11期1-12,共12页核技术（英文）

基　　金：supported by the National Natural Science Foundation of China(Nos.12275120,11875163);Ministry of Science and Technology of China(No.2020YFE0202001);Science and Technology Innovation Program of Hunan Province(No.2022RC1202);Hunan Provincial Natural Science Foundation(No.2021JJ20006).

摘　　要：Cosmic-ray muons are highly penetrating background-radiation particles found in natural environments.In this study,we develop and test a plastic scintillator muon detector based on machine-learning algorithms.The detector underwent muon position-resolution tests at the Institute of Modern Physics in Lanzhou using a multiwire drift chamber(MWDC)experimental platform.In the simulation,the same structural and performance parameters were maintained to ensure the reliability of the simulation results.The Gaussian process regression(GPR)algorithm was used as the position-reconstruction algorithm owing to its optimal performance.The results of the Time Difference of Arrival algorithm were incorporated as one of the features of the GPR model to reconstruct the muon hit positions.The accuracy of the position reconstruction was evaluated by comparing the experimental results with Geant4 simulation results.In the simulation,large-area plastic scintillator detectors achieved a position resolution better than 20 mm.In the experimental-platform tests,the position resolutions of the test detectors were 27.9 mm.We also analyzed factors affecting the position resolution,including the critical angle of the total internal reflection of the photomultiplier tubes and distribution of muons in the MWDC.Simulations were performed to image both large objects and objects with different atomic numbers.The results showed that the system could image high-and low-Z materials in the constructed model and distinguish objects with significant density differences.This study demonstrates the feasibility of the proposed system,thereby providing a new detector system for muon-imaging applications.

关 键 词：Monte Carlo simulation Muon tomography TDOA Machine learning Image reconstruction 

分 类 号：TL812[核科学技术—核技术及应用]