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ONLINE STATISTICAL ANALYSIS OF NEUTRON TIME INTERVALS USING BAYESIAN PROBABILITY ANALYSIS

机译:贝叶斯概率分析的中子时间间隔在线统计

摘要

Embodiments for providing rapid characterization of an unknown nuclear source are described. A sequential Bayesian particle filter is used to analyze in real time the neutron inter-arrival times to estimate the multiplication of the source, the mass of the spontaneously fissioning isotope, the neutron detection efficiency, and the neutron lifetime. A method defines an array of trial solutions, each specifying a combination of fissile parameters characterizing the source; determines a first time interval between a first neutron and a second neutron detected by the neutron detector; calculates a probability distribution of an array of the parameter values; determines additional time intervals between each subsequent successive pairs of neutrons detected by the neutron detector; and refines the probability distribution based on the additional time intervals using a recursive Bayesian process to estimate the most probable combination of parameter values.
机译:描述了用于提供未知核源的快速表征的实施例。使用顺序贝叶斯粒子滤波器实时分析中子到达时间,以估计源的倍增,自发裂变同位素的质量,中子探测效率和中子寿命。一种方法定义了一系列试验解决方案,每个解决方案都指定了表征源的裂变参数的组合。确定由中子检测器检测到的第一中子与第二中子之间的第一时间间隔;计算参数值数组的概率分布;确定由中子探测器探测到的每个随后的连续中子对之间的附加时间间隔;并使用递归贝叶斯过程基于附加的时间间隔来优化概率分布,以估计参数值的最可能组合。

著录项

  • 公开/公告号US2013304396A1

    专利类型

  • 公开/公告日2013-11-14

    原文格式PDF

  • 申请/专利权人 SEAN E. WALSTON;

    申请/专利号US201213466829

  • 发明设计人 SEAN E. WALSTON;

    申请日2012-05-08

  • 分类号G06F19/00;

  • 国家 US

  • 入库时间 2022-08-21 16:07:01

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