Monte Carlo Methods and Codes for Nuclear Engineering Analysis

Dr. Christopher (Chris) Perfetti studied nuclear engineering at the University of Florida, where he obtained his Bachelors and Masters of Science degrees in Nuclear and Radiological Engineering. Chris then moved to the University of Michigan to pursue his PhD in Nuclear Engineering under the guidance of Professor Bill Martin. After obtaining his PhD in 2012, Chris began a postdoc appointment at ORNL under the mentorship of Dr. Brad Rearden, where he was converted to R&D staff in 2014. Chris is the Sensitivity and Uncertainty Analysis team lead for the SCALE Code System, and is involved with teaching several SCALE training courses. Chris is currently the Past Chair of the Oak Ridge/Knoxville Local Chapter of the American Nuclear Society. He is a member of ANS and a reviewer for Annals of Nuclear Energy, Nuclear Technology and Nuclear Science and Engineering.

1. Introduction to Monte Carlo Methods 2. Fundamentals of the Monte Carlo Method 3. Potential Geometry and Particle Tracking 4. Nuclear Data Processing, Data Structures, Handling of Temperature-dependence 5. Eigenvalue Source Convergence and Acceleration for Criticality Codes 6. Importance-based Variance Reduction for Fixed Source Codes 7. Tally Estimators, Tally Data Structures, and Reactor Physics Applications 8. Time-Dependent Analysis Part 1: Depletion Calculations 9. Time-Dependent Analysis

Part 2: Transient/Multiphysics Simulations 10. Sensitivity and Uncertainty Analysis Methods (Adjoint-based and Stochastic Methods) 11. Approach to Parallel/High-Performance Computing 12. Approaches for Validation and Verification 13. Conclusions