Monte Carlo power iteration: Entropy and spatial correlations

• DOI: 10.1016/j.anucene.2016.05.002
• Publication Date: 2016-05-08T17:45:36Z
• Authors: Michel Nowak; Jilang Miao; Eric Dumonteil; Benoit Forget; Anthony Onillon; Kord S. Smith; Andrea Zoia
• Keywords: Tripoli-4 R; [PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]; Nuclear Energy and Engineering; Entropy; OpenMC; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]; Power iteration; 7. Clean energy; Clustering

Abstract The behavior of Monte Carlo criticality simulations is often assessed by examining the convergence of the so-called entropy function. In this work, we shall show that the entropy function may lead to a misleading interpretation, and that potential issues occur when spatial correlations induced by fission events are important. We will support our analysis by examining the higher-order moments of the entropy function and the center of mass of the neutron population. Within the framework of a simplified model based on branching processes, we will relate the behavior of the spatial fluctuations of the fission chains to the key parameters of the simulated system, namely, the number of particles per generation, the reactor size and the migration area. Numerical simulations of a fuel rod and of a whole core suggest that the obtained results are quite general and hold true also for real-world applications.