Nuclear Fuel Accountancy with via HPC and Anti-Neutrino Data
Nuclear Fuel Accountancy with via HPC and Anti-Neutrino Data
批准号:
2021478
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
靶场反应堆直接分析检定仪(VIDARR)是一种为安全和防扩散目的而设计的用于测量反应堆的(V_E)的探测器。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。反中微子是通过逆B衰变(IBD)在VIDARR中探测到的。PHD使用GEANT4模拟来表征升级后的探测器的行为。机器学习被用来使用支持向量机(SVM)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)来实现对VIDARR探测器的全面表征。
英文摘要
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).
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国内基金
海外基金
面向Fuel2X的稳定自维持“冷焰”动力学及产物调控
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批准号:--
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项目类别:面上项目
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资助金额:58万元
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批准年份:2021
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负责人:张扬
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依托单位: