ORDER-OF-CONVERGENCE STUDY OF A CONDENSED-HISTORY ALGORITHM IMPLEMENTATION

摘要

An order-of-convergence (with respect to a path-length parameter) verification study is undertaken for an implementation of the condensed-history algorithm in a Monte Carlo electron transport code. "Condensed-history" refers to simulating the cumulative effects of the electron without modeling each individual collision. A 1992 paper by Larsen derived the expected order of convergence for a few mathematical models of this type of algorithm. We examine the order of convergence of a condensed-history algorithm based on that used in the Integrated TIGER Series (as applied to electron albedo problems) in the presence of Monte Carlo uncertainty.