Global variance reduction scheme with self-adaptive weight-window mesh in the Serpent 2 Monte Carlo Code

Jaakko Leppänen, Mika Jokipii

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

A global variance reduction (GVR) scheme with self-adaptive weight-window mesh was recently implemented in the Serpent 2 Monte Carlo code. Importances used to define the weight-window boundaries are obtained from a built-in deterministic solver, which applies the response matrix method to the adjoint transport problem. The mesh is based on an octree-type data structure, which can be refined by recursively dividing the mesh cells. The split criteria take into account the local density of the medium and the gradient of the importance distribution. The methodology is demonstrated by photon transport
simulations in a hot-cell geometry, which consists of both heavily shielded structures and large volumes of empty space. The results show that the weight-window mesh adaptation obeys the constraints imposed by the problem geometry, and that the variance reduction scheme provides significant improvement in computational performance compared to an analog Monte Carlo simulation.
Original languageEnglish
Title of host publicationInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
PublisherAmerican Nuclear Society ANS
Pages85-95
Number of pages11
ISBN (Print)978-0-89448-769-9
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Mathematics and Computational Methods applied to Nuclear Science and Engineering - Portland, United States
Duration: 25 Aug 201929 Aug 2019

Conference

ConferenceInternational Conference on Mathematics and Computational Methods applied to Nuclear Science and Engineering
CountryUnited States
CityPortland
Period25/08/1929/08/19

Keywords

  • Serpent
  • Monte Carlo
  • Global Variance Reduction
  • Weight-windows
  • Radiation Shielding

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    Leppänen, J., & Jokipii, M. (2019). Global variance reduction scheme with self-adaptive weight-window mesh in the Serpent 2 Monte Carlo Code. In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 (pp. 85-95). American Nuclear Society ANS.