RT Generic
T1 Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport
A1 Garcia-Pareja, Salvador
A1 Lallena, Antonio M.
A1 Salvat, Francesc
K1 Monte Carlo simulation
K1 statistical uncertainties
K1 variance-reduction methods
K1 splitting and Russian roulette
K1 ant colony algorithms
K1 interaction forcing
K1 delta scattering
K1 Ant colony algorithm
K1 Shielding calculations
K1 Electron
K1 Code
K1 Penelope
K1 Particle
K1 Photon
AB 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.
PB Frontiers media sa
SN 2296-424X
YR 2021
FD 2021-10-27
LK https://hdl.handle.net/10668/24432
UL https://hdl.handle.net/10668/24432
LA en
DS RISalud
RD Apr 4, 2025