Nuclear Fuel Accountancy with via HPC and Anti-Neutrino Data

通过 HPC 和反中微子数据进行核燃料核算

• 批准号: 2021478
• 金额: --
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2021478
• 关键词: Nuclear; Fuel; Accountancy; via; HPC

The Verification Instrument for the Direct Assay of Reactors at Range (VIDARR) is a detector designed to measure (v_e) from reactors for safeguarding and non-proliferation purposes. The VIDARR detector is based upon the ECal technology, designed and built by the UK for the T2K experiment's near-detector. Anti-neutrinos are detected in VIDARR via inverse B decay (IBD).The PhD use GEANT4 simulations to characterise the behaviour of the upgraded detector. Machine learning is used to develop a trigger using a support vector machine (SVM). By comparing simulation to data collected from the detector it is possible to achieve a full characterisation of the VIDARR detector using big data analysis techniques and high performance computing (HPC).

在靶场直接测定反应堆的核查仪器（VIDARR）是一种探测器，旨在为保障和不扩散目的测量反应堆的（v_e）。VIDARR探测器基于ECal技术，由英国为T2K实验的近探测器设计和制造。VIDARR通过反B衰变（IBD）检测到反中微子。博士使用GEANT 4模拟来验证升级后的检测器的行为。机器学习用于使用支持向量机（SVM）来开发触发器。通过将模拟与从探测器收集的数据进行比较，可以使用大数据分析技术和高性能计算（HPC）来实现VIDARR探测器的完整表征。