A Particle Population Control Method for Dynamic Monte Carlo

Author:

Sweezy Jeremy,Nolen Steve,Adams Terry,Zukaitis Anthony

Abstract

A general particle population control method has been derived from splitting and Russian Roulette for dynamic Monte Carlo particle transport. A well-known particle population control method, known as the particle population comb, has been shown to be a special case of this general method. This general method has been incorporated in Los Alamos National Laboratory’s Monte Carlo Application Toolkit (MCATK) and examples of it’s use are shown for both super-critical and sub-critical systems.

Publisher

EDP Sciences

Reference12 articles.

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