Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method

IF 0.5 4区 数学 Q4 MATHEMATICS, APPLIED
G. Lotova, G. A. Mikhailov
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引用次数: 0

Abstract

Abstract The paper is focused on the study of the superexponential growth of the average number of particles in a stochastically homogeneous propagating medium. A mosaic Voronoi field (‘mosaic’) is considered as a random density model. The notion of ‘effective’ correlation radius is introduced to compare the results with previously obtained estimates of superexponential parameters for a spherically symmetric layered mosaic. It is shown that transition from the layered random density model to a chaotic one preserving the correlation scale and one-dimensional distribution weakens the ‘superexponential’ property of the particle flux.
用蒙特卡罗方法估计随机均匀介质中平均粒子通量
摘要本文主要研究在随机均匀传播介质中粒子平均数的超指数增长。马赛克Voronoi场(“马赛克”)被认为是一个随机密度模型。引入“有效”相关半径的概念,将结果与先前获得的球对称层状镶嵌的超指数参数估计值进行比较。结果表明,从分层随机密度模型到保持相关尺度和一维分布的混沌模型的转变削弱了粒子通量的“超指数”特性。
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling. The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest. Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.
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