The Monte Carlo method is a powerful class of numerical techniques that rely on stochastic sampling of statistical distributions to simulate the behavior of physical systems. The Monte Carlo simulation of neutrons enables accurate predictions of criticality, the spatial fission rate distribution, generation
of homogenized multi-group cross section data, and other tallied quantities for nuclear reactor applications.
Flexible three-dimensional generalized geometry, continuous energy representation of cross section data, built-in depletion capability, and ease of use position Peacock as the next production-level, state-of-the-art analysis tool being developed by Studsvik.