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Capture and inelastic gamma data for reaction libraries

机译:捕获和无弹性γ数据进行反应库

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Gamma-ray signatures from neutron capture and inelastic scattering reactions provide unambiguous information on the isotopes present in an unknown assembly. Active and passive interrogation technologies rely upon an accurate database of threat signals. However, there are known data gaps in the reaction libraries that are utilized in transport calculations. We describe how libraries may be augmented with improved data using statistical models to validate experimental data and extrapolation to unknown regions of the spectrum.
机译:来自中子捕获和非弹性散射反应的伽马射线签名提供了关于在未知组件中存在的同位素的明确信息。主动和被动询问技术依赖于威胁信号的准确数据库。然而,在运输计算中使用的反应文库中存在已知的数据间隙。我们描述了库可以使用统计模型来增强库的改进数据,以验证对频谱的未知区域的实验数据和推断。

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