A particle population control method for dynamic Monte Carlo

Particle population control methods are required in both dynamic and static Monte Carlo methods. If no population control is performed the particle population will die out or grow exponentially. A general particle population control method has been derived from splitting and Russian Roulette for dynamic Monte Carlo particle transport. A well-known particle population control method, known as the particle population comb, has been shown to be a special case of this general method. This general method has been incorporated in Los Alamos National Laboratory's Monte Carlo Application Tool-kit (MCATK) and it has been shown that this method is useful in the dynamic simulation of examples of super-critical and sub-critical systems