DISTINGUISH: Detection of explosive substances by tomographic inspection using neutron and gamma-ray spectroscopy

区别:使用中子和伽马射线光谱仪通过断层扫描检测爆炸性物质

基本信息

  • 批准号:
    EP/C008022/1
  • 负责人:
  • 金额:
    $ 30.1万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2006
  • 资助国家:
    英国
  • 起止时间:
    2006 至 无数据
  • 项目状态:
    已结题

项目摘要

There is a need for inspection systems that are able to detect explosives (or drugs) hidden in for example luggage. These systems are most efficient if they can inspect the object without having to investigate by hand. e.g. a person does not have to search each piece of luggage or container. Explosives almost universally comprise hydrogen, carbon, nitrogen and oxygen is different ratios. A system that will detect elements like these is based on sending a beam of neutrons into the system. The different elements will emit gamma rays of different energies which are unique to the isotopes concerned. These gamma rays can be measured accurately with a germanium gamma-ray detector and hence the amount of each element determined. This information can then be used to determined the ratios of the four elements and hence whether explosives (or drugs etc.) are present. By using modern technology the germanium detector can also be used to make an image of the object under investigate, similar to an airport baggage scanner. In this case the gamma-rays and scattered neutrons will be detected simultaneously to make a clearer image. By the end of the project we hope to have demonstrated in the laboratory that these ideas are effective and to determine the potential sensitivity.
需要有一种检查系统,能够探测到隐藏在行李中的爆炸物(或毒品)。如果这些系统可以在不需要人工检查的情况下检查物体,那么它们是最有效的。一个人不必搜查每件行李或容器。炸药几乎普遍由不同比例的氢、碳、氮和氧组成。探测这类元素的系统是基于向系统中发射一束中子。不同的元素会发出不同能量的伽马射线,这是同位素所特有的。这些伽马射线可以用锗伽马射线探测器精确测量,从而确定每种元素的含量。这些信息可以用来确定四种元素的比例,从而确定是否存在爆炸物(或毒品等)。通过使用现代技术,锗探测器也可以用来制作被调查物体的图像,类似于机场行李扫描仪。在这种情况下,伽马射线和散射中子将同时被探测到,以获得更清晰的图像。在项目结束时,我们希望在实验室中证明这些想法是有效的,并确定潜在的灵敏度。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Malcolm Joyce其他文献

Malcolm Joyce的其他文献

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{{ truncateString('Malcolm Joyce', 18)}}的其他基金

Capture gamma-ray Assessment in Nuclear Energy (C-GANE)
核能中捕获伽马射线评估 (C-GANE)
  • 批准号:
    EP/X038327/1
  • 财政年份:
    2023
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
JUNO: A Network for Japan - UK Nuclear Opportunities
JUNO:日本-英国核机会网络
  • 批准号:
    EP/P013600/2
  • 财政年份:
    2023
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
Advancing Location Accuracy via Collimated Nuclear Assay for Decommissioning Robotic Applications (ALACANDRA)
通过用于退役机器人应用的准直核分析提高定位精度 (ALACANDRA)
  • 批准号:
    EP/V026941/1
  • 财政年份:
    2021
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
Autonomous Inspection for Responsive and Sustainable Nuclear Fuel Manufacture (AIRS-NFM)
响应性和可持续核燃料制造的自主检查(AIRS-NFM)
  • 批准号:
    EP/V051059/1
  • 财政年份:
    2021
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
AMS-UK: A UK Accelerator Mass Spectrometry Facility for Nuclear Fission Research
AMS-UK:英国用于核裂变研究的加速器质谱设施
  • 批准号:
    EP/T01136X/1
  • 财政年份:
    2019
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
JUNO: A Network for Japan - UK Nuclear Opportunities
JUNO:日本-英国核机会网络
  • 批准号:
    EP/P013600/1
  • 财政年份:
    2016
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
Digital fast neutron assay of uranium
铀的数字快中子测定
  • 批准号:
    EP/P008062/1
  • 财政年份:
    2016
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
Technology development to evaluate dose rate distribution in PCV and to search for fuel debris submerged in water
开发技术来评估 PCV 中的剂量率分布并寻找淹没在水中的燃料碎片
  • 批准号:
    EP/N017749/1
  • 财政年份:
    2015
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
Imaging and location of fast neutron emissions by real-time time-of-flight
通过实时飞行时间对快中子发射进行成像和定位
  • 批准号:
    EP/M02489X/1
  • 财政年份:
    2015
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant
A centre for Advanced Digital Radiometric Instrumentation for Applied Nuclear Activities (ADRIANA)
应用核活动先进数字辐射仪器中心 (ADRIANA)
  • 批准号:
    EP/L025671/1
  • 财政年份:
    2014
  • 资助金额:
    $ 30.1万
  • 项目类别:
    Research Grant

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Graphon mean field games with partial observation and application to failure detection in distributed systems
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压缩式地下雷达成像:快速、智能地检测埋藏的爆炸物威胁
  • 批准号:
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SBIR Phase II: Reliable low-cost, low-power methane sensors for explosive limit detection
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