Transport Methods for Nuclear Nonproliferation Applications: Deterministic Cost Optimization and Monte Carlo Interface Perturbation Theory
Two different particle transport methods currently being developed for the Consortium for Nonproliferation Enabling Capabilities will be presented. The first involves using deterministic calculations to estimate variances and computational times for optimizing variance reduction parameters with a specific focus on the DXTRAN technique. The second is a novel approach for estimating response sensitivities of interface locations using kernel density estimators.
Brian Kiedrowski received his PhD at the University of Wisconsin-Madison in 2009 in Nuclear Engineering and Engineering Physics the area of computational neutron transport. Following graduation, he was a member of the MCNP development team in the Computational Physics Division at Los Alamos National Laboratory. In 2014, he joined the faculty at the University of Michigan as an assistant professor in the Nuclear Engineering and Radiological Sciences Department. His research areas include Monte Carlo particle transport and hybrid methods, sensitivity and uncertainty quantification methods, and nuclear nonproliferation. He is currently serving as a Co-PI for the Consortium for Nonproliferation Enabling Capabilities.