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

Autor:	Galiya Z. Lotova, Gennady A. Mikhailov
Rok vydání:	2022
Předmět:	Numerical Analysis Modeling and Simulation
Zdroj:	Russian Journal of Numerical Analysis and Mathematical Modelling. 37:363-371
ISSN:	1569-3988 0927-6467
DOI:	10.1515/rnam-2022-0029
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::677d62c20556fd58a66676501fa3a300 https://doi.org/10.1515/rnam-2022-0029 Zobrazit plný text záznamu