Monte Carlo Radiation Transport and MCNP Code

Catalog description

Credits 3. 2 Lecture Hours. 2 Lab Hours. Principles of Monte Carlo method; statistical methods in Monte Carlo; random number generation; sampling methods for physical processes represented by Boltzmann transport equation; particle tracking in combinatorial geometry; ACE format cross-sections; introduction to MCNP code; MCNP applied to radiation shielding, criticality safety, reactor physics and detector modeling problems; MCNP output analysis; MCNP statistical tests; MCNP tallying procedures; Variance reduction techniques; introduction to develop Monte Carlo algorithms. Prerequisite: Grade of C or better in NUEN 302 ; grade of C or better or concurrent enrollment in NUEN 301 ; MCNP code single user license from RSICC, ORNL, USA; junior or senior classification.