指向概率驱动的半解析蒙特卡罗方法（PDMC） .第2部分：更高精度的指数近似的修正

IF 3.4 2区物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Physics Communications Pub Date : 2025-08-24 DOI:10.1016/j.cpc.2025.109824

Pan Qingquan , He Liaoyuan , Liu Xiaojing

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引用次数: 0

摘要

为提高精度，对传统的指向概率驱动半解析蒙特卡罗方法（PDMC）进行指数逼近修正，重新建立伪航迹全局响应计算公式，形成修正后的指向概率驱动半解析蒙特卡罗方法（cPDMC）。cPDMC借鉴了点核积分法，具有与传统PDMC相同的计算过程，并继承了PDMC的所有优点，由于确定性过程的独立性而具有较高的几何通用性，由于迭代计算的独立性而具有较高的效率。cPDMC在中国聚变工程试验堆（CFETR）和HBR2基准上进行了测试。与传统的PDMC相比，cPDMC与CFETR模型相比将AV.FOM提高了1.2 ~ 410.5倍，与HBR2基准相比提高了113.10 ~ 13818.18倍，证明了该指数逼近校正方法的优越性，表明cPDMC可以进一步提高PDMC的精度和效率，有助于大尺度辐射分析。

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Pointing Probability Driven Semi-Analytic Monte Carlo Method (PDMC) – Part II: Correction of Exponential Approximation for Higher Accuracy

We perform exponential approximation correction for the traditional Pointing Probability Driven Semi-Analytic Monte Carlo Method (PDMC) to achieve higher accuracy, re-establish the formula for calculating the global response of pseudo-track, forming a corrected Pointing Probability Driven Semi-Analytic Monte Carlo Method (cPDMC). cPDMC draws on the point kernel integral method, has the same calculation process as the traditional PDMC, and inherits all the advantages of PDMC, having high geometric universality due to the independence of deterministic procedures and high efficiency due to the independence of iterative computation. cPDMC is tested in the China Fusion Engineering Test Reactor (CFETR) and the HBR2 benchmark. Compared with the traditional PDMC, cPDMC improves the Average Figure of Merit (AV.FOM) by 1.2 ∼ 410.5 times with the CFETR model and 113.10 ∼ 13,818.18 times with the HBR2 benchmark, proving the superiority of this exponential approximation correction method and showing that cPDMC can further improve the accuracy and efficiency of PDMC and is helpful for large-scale radiation analysis.

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来源期刊

Computer Physics Communications 物理-计算机：跨学科应用

CiteScore

12.10

自引率

3.20%

发文量

287

审稿时长

5.3 months

期刊介绍： The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.