Adaptive Multilevel Splitting for Monte Carlo particle transport

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 Splittin...

Full description

Saved in:
Bibliographic Details
Main Authors: Louvin, Henri, Dumonteil, Eric, Lelièvre, Tony, Rousset, Mathias, Diop, Cheikh M.
Format: Conference Proceeding
Language:English
Subjects:
Computer simulation
Monte Carlo simulation
Parameter sensitivity
Particle tracking
Reduction
Shielding
Splitting
Transport
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 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 algortihm, adapted for the first time to the field of particle tranport. 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. Furthermore, the effciency 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.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/201715306006