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Nuclear forensics - a methodology providing clues on the origin of illicitly trafficked nuclear materials

机译:核法证学-一种提供关于非法贩运核材料来源的线索的方法

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摘要

Reports on seizures of nuclear material (i.e., uranium or plutonium) and of radioactive sources continue to attract the attention of the public and are a reason for concern due to the hazard associated with such material. Once the material has been detected and secured, the questions on the intended use, the radiological hazard and the origin of the material need to be answered. Classical forensic techniques address the criminalistic part of the case, i.e., the identification of the suspect criminal. The phenomenon of nuclear smuggling and illicit trafficking of nuclear material has led to the development of a new branch of science: nuclear forensics. The key issue is the identification of the origin of the material, in order to improve the physical protection measures and prevent future thefts or diversions. The key challenge is the specificity and complexity of the nuclear area and the particular requirements for handling such material. Nuclear forensic science makes use of analytical techniques that were actually developed for applications related to the nuclear fuel cycle, hence appropriate and safe handling of the samples during the investigations is assured. For interpretation of the results, nuclear forensic science relies to a large extent on the expertise and experience of the investigating scientists. Knowledge in areas such as radiochemistry, nuclear physics, reactor physics, materials science and in the nuclear fuel cycle are required. The conclusions, however, need to be supported by reference data wherever possible.
机译:关于扣押核材料(即铀或p)和放射源的报告继续引起公众关注,由于与这种材料有关的危险,令人关注。一旦检测到并固定了材料,就需要回答有关预期用途,放射危害和材料来源的问题。经典的取证技术解决了案件的犯罪部分,即识别犯罪嫌疑人。核走私和非法贩运核材料的现象导致了科学的新分支的发展:核法证学。关键问题是识别材料的来源,以改善实物保护措施并防止将来的盗窃或转移用途。关键挑战是核地区的特殊性和复杂性以及处理此类材料的特殊要求。核法证科学利用为核燃料循环相关应用而实际开发的分析技术,因此可以确保在调查过程中对样本进行适当且安全的处理。为了解释结果,核法证科学在很大程度上取决于研究科学家的专业知识和经验。需要诸如放射化学,核物理学,反应堆物理学,材料科学以及核燃料循环等领域的知识。但是,结论应尽可能得到参考数据的支持。

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