Monte Carlo Particle Transport

Basic particle transport concepts. Random processes, random number generation techniques, fundamental formulation of Monte Carlo, sampling procedures, and fundamentals of probability and statistics. Monte Carlo algorithms for particle transport, non-analog Monte Carlo method, formulations for different variance reduction techniques, and tallying procedures. Methodologies for parallelization and vectorization of the Monte Carlo methods, and examples of the Monte Carlo method for simulation of various real-life applications. Graduate standing required