Issue |
2014
SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
|
|
---|---|---|
Article Number | 03202 | |
Number of page(s) | 6 | |
Section | 3. Monte Carlo Methods for Simulation: b. Time Dependent Monte Carlo | |
DOI | https://doi.org/10.1051/snamc/201403202 | |
Published online | 06 June 2014 |
A Particle Population Control Method for Dynamic Monte Carlo
Los Alamos National Laboratory, PO Box 1663, MS A143, Los Alamos, NM, 87545, USA
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.
Key words: Monte Carlo / Dynamic Monte Carlo / Monte Carlo Population Control / Parallel Computing / Combing / MCATK
© Owned by the authors, published by EDP Sciences, 2014