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Monte Carlo Methods for the Neutron Transport Equation

Alexander M. G. Cox, Simon C. Harris, Andreas E. Kyprianou, Minmin Wang

2022SIAM/ASA Journal on Uncertainty Quantification12 citationsDOIOpen Access PDF

Abstract

This paper continues our treatment of the Neutron Transport Equation (NTE) building on the work in [13], [28] and [25], which describes the density (equiv. flux) of neutrons through inhomogeneous fissile medium. Our aim is to analyse existing and novel Monte Carlo (MC) algorithms, aimed at simu- lating the lead eigenvalue associated with the underlying model. This quantity is of principal importance in the nuclear regula- tory industry for which the NTE must be solved on complicated inhomogenous domains corresponding to nuclear reactor cores, irradiative hospital equipment, food irradiation equipment and so on. We include a complexity analysis of such MC algorithms, noting that no such undertaking has previously appeared in the literature. The new MC algorithms offer a variety of advantages and disadvantages of accuracy vs cost, as well as the possibility of more convenient computational parallelisation.

Topics & Concepts

Monte Carlo methodEigenvalues and eigenvectorsNeutronFissile materialPrincipal (computer security)Statistical physicsNuclear dataApplied mathematicsNeutron transportPhysicsComputer scienceMathematicsNuclear physicsStatisticsQuantum mechanicsOperating systemNuclear reactor physics and engineeringNuclear Physics and ApplicationsMathematical Approximation and Integration