{"title":"Application experiment and partial improvement of traditional muon scattering imaging algorithm","authors":"Jinye Wang, Yunping Qi, Liangwen Chen","doi":"10.1117/12.2689701","DOIUrl":null,"url":null,"abstract":"Muons produced by cosmic rays can be used to reconstruct images by analyzing their energy and angle information after passing through a medium. These subatomic particles have strong penetrating ability and are sensitive to high-Z (high atomic number) materials, making them ideal for large-scale structural imaging and nuclear material detection, which is critical for maintaining nuclear safety. However, muon tomography faces challenges such as low natural muon flux and difficulties in image reconstruction. Therefore, developing effective imaging reconstruction algorithms is crucial for muon tomography. In this study, we present modifications to the ASR algorithm, then apply the modified version to experimental data. Our results show that the images reconstructed using the modified ASR algorithm exhibit good quality, indicating the algorithm's effectiveness.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"268 1-2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"4th International Conference on Information Science, Electrical and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2689701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Muons produced by cosmic rays can be used to reconstruct images by analyzing their energy and angle information after passing through a medium. These subatomic particles have strong penetrating ability and are sensitive to high-Z (high atomic number) materials, making them ideal for large-scale structural imaging and nuclear material detection, which is critical for maintaining nuclear safety. However, muon tomography faces challenges such as low natural muon flux and difficulties in image reconstruction. Therefore, developing effective imaging reconstruction algorithms is crucial for muon tomography. In this study, we present modifications to the ASR algorithm, then apply the modified version to experimental data. Our results show that the images reconstructed using the modified ASR algorithm exhibit good quality, indicating the algorithm's effectiveness.