Adaptive multilevel splitting for Monte Carlo particle transport
CEA Saclay, DEN/DM2S/SERMA/LTSD,
2 IRSN, PSN-EXP/SNC, 92262 Fontenay-aux-Roses, France
3 Université Paris-Est, CERMICS (ENPC), INRIA, 77455 Marne-la-Vallée, France
* e-mail: email@example.com
Received in final form: 18 May 2017
Accepted: 30 August 2017
Published online: 31 October 2017
In the Monte Carlo simulation of particle transport, and especially for shielding applications, variance reduction techniques are widely used to help simulate realisations of rare events and reduce the relative errors on the estimated scores for a given computation time. Adaptive Multilevel Splitting (AMS) is one of these variance reduction techniques that has recently appeared in the literature. In the present paper, we propose an alternative version of the AMS algorithm, adapted for the first time to the field of particle transport. Within this context, it can be used to build an unbiased estimator of any quantity associated with particle tracks, such as flux, reaction rates or even non-Boltzmann tallies like pulse-height tallies and other spectra. Furthermore, the efficiency of the AMS algorithm is shown not to be very sensitive to variations of its input parameters, which makes it capable of significant variance reduction without requiring extended user effort.
© H. Louvin et al., published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.