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Representing the uncertainty structure of the factorial moments of (252)~Cf and (238,240,242)~pu

机译:表示(252)〜Cf和(238,240,242)〜pu阶乘矩的不确定性结构

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Event triggered passive neutron time-correlation autocorrelation analysis is a widely used technique for the nondestructive assay of Pu in international nuclear safeguards. We are interested m how (252)~Cf may be used as a calibration surrogate for Pu samples because representative Pu items are rarely available and (252)~Cf is far easier to obtain and use than Pu This raises the question of how uncertainties in basic nuclear data might impact the metrology chain. There is currently no comprehensive and coherent framework to address this question This work represents the first attempt to create a suitable statistical model of the neutron emission parameters (factorial moments, delayed neutrons, and (24O)~Pu-effective weighting coefficients) including the correlation structure, which can be used to propagate nuclear data uncertainties through a neutron multiplicity counter analysis.
机译:事件触发的被动中子时间相关自相关分析是国际核保障体系中Pu的无损检测中广泛使用的技术。我们感兴趣的是,如何将(252)〜Cf用作Pu样品的校准替代品,因为很少有代表性的Pu项,并且(252)〜Cf比Pu更容易获得和使用。这引起了一个问题,即基本核数据可能会影响计量链。当前没有一个全面,连贯的框架来解决这个问题。这项工作代表了建立一个合适的中子发射参数(因子矩,延迟中子和(24O)〜Pu-有效加权系数)包括相关性的统计模型的尝试。结构,可用于通过中子多重计数器分析来传播核数据的不确定性。

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