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2021-10-27

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cc-by (c) García-Pareja, Salvador et al., 2021
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/194997

Variance-reduction methods for Monte Carlo simulation of radiation transport

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https://doi.org/10.3389/fphy.2021.718873

Abstract

After a brief description of the essentials of Monte Carlo simulation methods and the definition of simulation efficiency, the rationale for variance-reduction techniques is presented. Popular variance-reduction techniques applicable to Monte Carlo simulations of radiation transport are described and motivated. The focus is on those techniques that can be used with any transport code, irrespective of the strategies used to track charged particles; they operate by manipulating either the number and weights of the transported particles or the mean free paths of the various interaction mechanisms. The considered techniques are 1) splitting and Russian roulette, with the ant colony method as builder of importance maps, 2) exponential transform and interaction-forcing biasing, 3) Woodcock or delta-scattering method, 4) interaction forcing, and 5) proper use of symmetries and combinations of different techniques. Illustrative results from analog simulations (without recourse to variance-reduction) and from variance-reduced simulations of various transport problems are presented.

Subject

Mètode de Montecarlo, Radiació, Partícules (Matèria)

Subject (English)

Monte Carlo method, Radiation, Particles

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Articles publicats en revistes (Física Quàntica i Astrofísica)

Citation

GARCÍA-PAREJA, Salvador, LALLENA, Antonio M. and SALVAT GAVALDÀ, Francesc. Variance-reduction methods for Monte Carlo simulation of radiation transport. Frontiers In Physics. 2021. Vol. 9, num. 718873. ISSN 2296-424X. [consulted: 19 of August of 2026]. Available at: https://hdl.handle.net/2445/194997

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