Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport

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