Analysis of Population Control Techniques for Time-Dependent and Eigenvalue Monte Carlo Neutron Transport Calculations

An extensive study of population control techniques (PCTs) for time-dependent and eigenvalue Monte Carlo (MC) neutron transport calculations is presented. We define PCT as a technique that takes censused returns controlled, unbiased population. A new perspective based on an abstraction particle census explored, paving the way to improved understanding application concepts. Five distinct PCTs identified from literature are reviewed: Simple Sampling (SS), Splitting-Roulette (SR), Combing (CO), modified (COX), Duplicate-Discard (DD). theoretical analysis how much uncertainty introduced by each Parallel algorithms applicable both MC simulations proposed. The relative performances runtime tally mean error or standard deviation assessed solving test problems. It found SR CO equally most performant techniques, closely followed DD.