Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method
统计物理学
蒙特卡罗方法
同种类的
沃罗诺图
物理
数学
统计
几何学
作者
G. Z. Lotova,Gennady A. Mikhailov
出处
期刊:Russian Journal of Numerical Analysis and Mathematical Modelling [De Gruyter] 日期:2022-12-01卷期号:37 (6): 363-371被引量:1
标识
DOI:10.1515/rnam-2022-0029
摘要
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.