Standoff α-Radioactive Contamination Imaging via Enhanced Radioluminescence Detection

作者：Zeqian Wu, Mei Xu, Qingbo Wang, Biao Yuan, Sheng Qi, Weiqi Huang, Jian-Kuen Wu, Yonghong Wang, K. Y. Shan, Zhi‐Ling Hou, Jinxing Cheng · 发表于：IEEE Transactions on Nuclear Science · 年份：2025 · DOI：10.1109/tns.2025.3620131 · 被引用次数：2 · 研究领域：Radiation Detection and Scintillator Technologies、Nuclear Physics and Applications、Radioactive contamination and transfer

Alpha-emitting actinides pose critical environmental risks due to their high ionizing potential and potential for internal exposure via aerosol inhalation. However, conventional detection methods are constrained by the short attenuation length of α-rays (239Pu sources demonstrates sub-1.5% relative error in mapping complex "C"-shaped contamination patterns through improved image reconstruction algorithms, with a spatial resolution of 0.031 m². The adaptive efficiency calibration algorithm further enables real-time quantification of surface activity under variable scanning angles by optimizing the translation from raw scan data to contamination maps, addressing critical limitations in nuclear emergency response by enabling rapid, non-contact contamination mapping, and establishes a framework for high-precision actinide monitoring in decommissioning scenarios.