Skip to Main content Skip to Navigation
Conference papers

Application of Adaptive Multilevel Splitting on Coupled Neutron-Photon TRIPOLI-4 Monte Carlo Simulations

Abstract : In the context of radiation protection simulations, the Adaptive Multilevel Splitting (AMS) algorithm is a challenging variance reduction (VR) technique that has been recently investigated in the field of particle transport simulation. It has been implemented in the forthcoming version 11 of the Monte Carlo code TRIPOLI-4® and successfully tested in neutron-only and photon-only configurations. This paper addresses the application of the AMS algorithm to coupled simulations, and particularly to neutron-photon Monte Carlo calculations. The branching process occurring during the Monte Carlo coupled transport is taken into account in the new coupled-AMS algorithm and is explained in this paper. Two different neutron-photon configurations are then investigated, leading to a comparison of the coupled-AMS algorithm with the analog simulation on the one hand, and with the Exponential Transform (ET) on the other hand, which is the standard VR technique of TRIPOLI-4. Gains up to 30 are obtained in terms of Figure of Merit relatively to the analog simulation, which is about 4 to 6 times more efficient than the ET method for these configurations.
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download
Contributor : Bibliothèque CADARACHE Connect in order to contact the contributor
Submitted on : Friday, February 21, 2020 - 9:41:21 AM
Last modification on : Monday, December 13, 2021 - 9:15:42 AM
Long-term archiving on: : Friday, May 22, 2020 - 12:55:25 PM


Files produced by the author(s)


  • HAL Id : cea-02338605, version 1


Henri Louvin, Odile Petit. Application of Adaptive Multilevel Splitting on Coupled Neutron-Photon TRIPOLI-4 Monte Carlo Simulations. RPSD-2018 - 20th Topical Meeting of the Radiation Protection & Shielding Division of ANS, Aug 2018, Santa Fe, United States. ⟨cea-02338605⟩



Record views


Files downloads