蒙特卡罗方法
灵敏度(控制系统)
统计物理学
临界性
蒙特卡罗分子模拟
物理
特征向量
核数据
而量子蒙特卡罗
动态蒙特卡罗方法
混合蒙特卡罗
统计物理中的蒙特卡罗方法
应用数学
计算物理学
核物理学
数学
中子
量子力学
马尔科夫蒙特卡洛
统计
工程类
电子工程
作者
Christopher Perfetti,Brian Claude Franke,Ron Kensek,Aaron Olson
标识
DOI:10.1080/00295639.2023.2184192
摘要
Sensitivity analysis methods have found extensive use in nuclear criticality safety applications for understanding the impact of uncertain nuclear data on eigenvalue estimates. Significant uncertainty exists in nuclear data and nuclear physics models for photon and electron transport applications, and the goal of this work is to explore whether recently developed adjoint-based, first-order generalized perturbation theory reaction rate sensitivity methods can be extended to coupled Monte Carlo radiation transport simulations. This paper presents a rigorous theoretical derivation for this extended sensitivity analysis method, which is then implemented in a one-dimensional test Monte Carlo code. The adjoint-based sensitivity coefficients are found to agree well with reference direct perturbation and deterministic SENSMG sensitivity coefficients for a simple test problem.
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