论文标题
使用MUON散射断层扫描和多元分析中的核垃圾桶中的物质鉴定
Material Identification in Nuclear Waste Drums using Muon Scattering Tomography and Multivariate Analysis
论文作者
论文摘要
雄性散射断层扫描用于非侵入性核废料表征。我们在此报告有关特征歧视器和多元分析技术的结合，以定位和识别核废料鼓中的材料。在成功培训和优化算法之后，他们将对一系列材料配置进行测试，以评估系统的性能和局限性。该系统能够在〜几个\ text {cm}刻度上正确识别铀，铁和铅对象。该系统对小铀对象的敏感性也被确定为$ 0.90^{+0.07} _ { - 0.12} $，误报$ 0.12^{+0.12} _ { - 0.07} $。
The use of muon scattering tomography for the non-invasive characterisation of nuclear waste is well established. We report here on the application of a combination of feature discriminators and multivariate analysis techniques to locate and identify materials in nuclear waste drums. After successful training and optimisation of the algorithms they are then tested on a range of material configurations to assess the system's performance and limitations. The system is able to correctly identify uranium, iron and lead objects on a ~few \text{cm} scale. The system's sensitivity to small uranium objects is also established as $0.90^{+0.07}_{-0.12}$, with a false positive rate of $0.12^{+0.12}_{-0.07}$.
