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首页> 外文会议>Advances in Nuclear Nonproliferation Technology and Policy Conference 2018 >Recent Developments and Emerging Research Challenges in Monte Carlo Transport Sensitivity Methods for Nuclear Nonproliferation
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Recent Developments and Emerging Research Challenges in Monte Carlo Transport Sensitivity Methods for Nuclear Nonproliferation

机译：核不扩散蒙特卡洛输运敏感性方法的最新发展和新兴研究挑战

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摘要

Monte Carlo perturbation methods provide an accurateand efficient means of computing sensitivity coefficients to alarge number of parameters within a simulation. These maybe applied to discern the parameters that are most significantto a response, quantify uncertainties, guide optimization forinverse problems, give insight into the design of experimentsto better improve data relevant to applications, help constrainphysics model parameters, and certainly other applications.This summary discussed two perturbation applications relevantto nuclear nonproliferation that are currently undergoingactive research.The first of these is the application of Monte Carlo perturbationtechniques to geometry. While this is an old idea,there have been recent developments in the past few years thatmake the calculation of geometric sensitivities more practical.The second application is computing the sensitivity tocorrelated responses with a specific focus on those relevant tothe nuclear fission process and multiplicity statistics, which areof practical concern to the nuclear nonproliferation community.This area has received less attention and is an area whereadditional research would be beneficial.
机译：蒙特卡洛摄动法提供了一种精确的\ n \ n高效的方法，可以计算模拟中对大量参数的敏感系数。这些可用于识别响应中最重要的参数，量化不确定性，指导针对反问题的优化，深入了解实验设计\ r \ n以更好地改善与应用程序，帮助约束\ r \ n物理模型参数以及某些其他应用程序。\ r \ n此摘要讨论了与核不扩散相关的两个扰动应用程序，它们正在接受\ n \ n活跃的研究。\ r \ n第一个是蒙特卡罗摄动技术在几何学中的应用。尽管这是一个古老的主意，但过去几年的最新发展使几何灵敏度的计算更加实用。第二个应用程序是使用以下方法计算对相关响应的灵敏度：重点关注与核裂变过程和多重性统计有关的那些，这是核不扩散界实际关注的。\ r \ n该领域受到的关注较少，是其他领域研究将是有益的。

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