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All issues Volume 11 (2025) EPJ Nuclear Sci. Technol., 11 (2025) 72 References
Issue
EPJ Nuclear Sci. Technol.
Volume 11, 2025
Special Issue on ‘Overview of recent advances in HPC simulation methods for nuclear applications’, edited by Andrea Zoia, Elie Saikali, Cheikh Diop and Cyrille de Saint Jean
Article Number 72
Number of page(s) 21
DOI https://doi.org/10.1051/epjn/2025062
Published online 06 November 2025
  1. I. Pázsit, C. Demazière, Noise Techniques in Nuclear Systems, in Handbook of Nuclear Engineering, edited by D.G. Cacuci, (Springer US, Boston, MA, 2010) pp. 1629–1737. https://doi.org/10.1007/978-0-387-98149-9_14 [Google Scholar]
  2. A. Rouchon, R. Sanchez, I. Zmijarevic, The new 3-D multigroup diffusion neutron noise solver of APOLLO3 and a theoretical discussion of fission-modes noise, in M &C 2017 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (Jeju, South Korea, 2017) [Google Scholar]
  3. A. Rouchon, W. Jarrah, A. Zoia, The new neutron noise solver of the Monte Carlo code Tripoli-4, in M &C 2019 (Portland, United States, 2019) [Google Scholar]
  4. T. Yamamoto, Implementation of a frequency-domain neutron noise analysis method in a production-level continuous energy Monte Carlo code: Verification and application in a BWR, Ann. Nucl. Energy 115, 494 (2018). https://doi.org/10.1016/j.anucene.2018.02.008 [CrossRef] [Google Scholar]
  5. C. Demazière, CORE SIM: A multi-purpose neutronic tool for research and education, Ann. Nucl. Energy 38, 2698 (2011). https://doi.org/10.1016/j.anucene.2011.06.010 [CrossRef] [Google Scholar]
  6. A. Gammicchia, S. Santandrea, I. Zmijarevic, R. Sanchez, Z. Stankovski, S. Dulla, P. Mosca, A MOC-based neutron kinetics model for noise analysis, Ann. Nucl. Energy 137, 107070 (2020). https://doi.org/10.1016/j.anucene.2019.107070 [Google Scholar]
  7. P. Cosgrove, M. Kraus, V. Raffuzzi, A memory-efficient neutron noise algorithm for reactor physics, Ann. Nucl. Energy 201, 110450 (2024). https://doi.org/10.1016/j.anucene.2024.110450 [CrossRef] [Google Scholar]
  8. D. Chionis, A. Dokhane, L. Belblidia, H. Ferroukhi, G. Girardin, A. Pautz, Development and verification of a methodology for neutron noise response to fuel assembly vibrations, Ann. Nucl. Energy 147, 107669 (2020). https://doi.org/10.1016/j.anucene.2020.107669 [Google Scholar]
  9. H. Yi, P. Vinai, C. Demazière, On the simulation of neutron noise using a discrete ordinates method, Ann. Nucl. Energy 164, 108570 (2021). https://doi.org/10.1016/j.anucene.2021.108570 [CrossRef] [Google Scholar]
  10. A. Vidal-Ferràndiz, A. Carreño, D. Ginestar, C. Demazière, G. Verdú, A time and frequency domain analysis of the effect of vibrating fuel assemblies on the neutron noise, Ann. Nucl. Energy 137, 107076 (2020). https://doi.org/10.1016/j.anucene.2019.107076 [Google Scholar]
  11. C. Demaziere, P. Vinai, M. Hursin, S. Kollias, J. Herb, Overview of the CORTEX project, in International Conference on Physics of Reactors (PHYSOR 2018) (Cancun, Mexico, 2018), pp. 2971–2980 [Google Scholar]
  12. I. Lux, L. Koblinger, Monte Carlo Particle Transport Methods (CRC-Press, 1991) [Google Scholar]
  13. J. Spanier, E.M. Gelbard, Monte Carlo Principles and Neutron Transport Problems (Courier Corporation, 2008) [Google Scholar]
  14. T. Yamamoto, Monte Carlo method with complex-valued weights for frequency domain analyses of neutron noise, Ann. Nucl. Energy 58, 72 (2013). https://doi.org/10.1016/j.anucene.2013.03.002 [CrossRef] [Google Scholar]
  15. A. Rouchon, A. Zoia, R. Sanchez, A new Monte Carlo method for neutron noise calculations in the frequency domain, Ann. Nucl. Energy 102, 465 (2017). https://doi.org/10.1016/j.anucene.2016.11.035 [CrossRef] [Google Scholar]
  16. A. Rouchon, Analyse et développement d’outils numériques déterministes et stochastiques résolvant les équations du bruit neutronique et applications aux réacteurs thermiques et rapides, Ph.D. thesis, Université Paris-Saclay (2016) [Google Scholar]
  17. H. Belanger, D. Mancusi, A. Rouchon, A. Zoia, Variance reduction and noise source sampling techniques for Monte Carlo simulations of neutron noise induced by mechanical vibrations, Nucl. Sci. Eng. 197, 534 (2023). https://doi.org/10.1080/00295639.2022.2126719 [Google Scholar]
  18. H. Belanger, D. Mancusi, A. Zoia, Exact weight cancellation in Monte Carlo eigenvalue transport problems, Phys. Rev. E 104, 015306 (2021). https://doi.org/10.1103/PhysRevE.104.015306 [CrossRef] [PubMed] [Google Scholar]
  19. A. Fauvel, A. Rouchon, D. Mancusi, A. Zoia, Convergence of Monte Carlo methods for neutron noise, EPJ Web Conf. 302, 08004 (2024). https://doi.org/10.1051/epjconf/202430208004 [Google Scholar]
  20. T.E. Booth, J.E. Gubernatis, Exact regional Monte Carlo weight cancellation for second eigenfunction calculations, Nucl. Sci. Eng. 165, 283 (2010). https://doi.org/10.13182/NSE09-62 [Google Scholar]
  21. P. Vinai, H. Yi, A. Mylonakis, C. Demaziere, B. Gasse, A. Rouchon, A. Zoia, A. Vidal-Ferrandiz, D. Ginestar, G. Verdu, T. Yamamoto, Comparison of neutron noise solvers based on numerical benchmarks in a 2-D simplified UOX fuel assembly, in Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering - M &C 2021 (Raleigh, NC, United States, 2021), pp. 2032–2041. https://www.ans.org/pubs/proceedings/article-50171/ [Google Scholar]
  22. M. Hursin, A. Zoia, A. Rouchon, A. Brighenti, I. Zmijarevic, S. Santandrea, P. Vinai, A. Mylonakis, H. Yi, C. Demazière, V. Lamirand, K. Ambrozic, T. Yamamoto, S. Hübner, A. Knospe, C. Lange, S. Yum, R. Macian, A. Vidal, D. Ginestar, G. Verdú, Modeling noise experiments performed at AKR-2 and CROCUS zero-power reactors, Ann. Nucl. Energy 194, 110066 (2023). https://doi.org/10.1016/j.anucene.2023.110066 [CrossRef] [Google Scholar]
  23. K. F. Raskach, V.V. Korobeinikov, Effective algorithm for calculation of a subcritical reactor with an external source, At. Energy 85, 911 (1998). https://doi.org/10.1007/BF02361124 [CrossRef] [Google Scholar]
  24. X. Yang, L. Cao, Q. Zheng, Q. He, H. Wu, A New Monte-Carlo-based iterative method for neutron noise calculation, in Proceedings of the Reactor Physics Asia 2023 Conference (RPHA2023) (Korea, October 24-26, 2023) [Google Scholar]
  25. H. Belanger, Multi-group monte carlo transport code (mgmc) (Mar. 2023). https://doi.org/10.5281/zenodo.6546715 [Google Scholar]
  26. P. Zhang, H. Lee, D. Lee, A general solution strategy of modified power method for higher mode solutions, J. Comput. Phys. 305, 387 (2016). https://doi.org/10.1016/j.jcp.2015.10.042 [Google Scholar]
  27. G.M. Wing, An Introduction to Transport Theory (Wiley, New York, 1962) [Google Scholar]
  28. T. Yamamoto, Monte Carlo algorithm for buckling search and neutron leakage-corrected calculations, Ann. Nucl. Energy 47, 14 (2012). https://doi.org/10.1016/j.anucene.2012.04.017 [Google Scholar]
  29. H. Belanger, D. Mancusi, A. Zoia, Review of Monte Carlo methods for particle transport in continuously-varying media, Eur. Phys. J. Plus 135, 877 (2020). https://doi.org/10.1140/epjp/s13360-020-00731-y [Google Scholar]
  30. D. Legrady, B. Molnar, M. Klausz, T. Major, Woodcock tracking with arbitrary sampling cross section using negative weights, Ann. Nucl. Energy 102, 116 (2017). https://doi.org/10.1016/j.anucene.2016.12.003 [Google Scholar]
  31. D.M. Arnow, M.H. Kalos, M.A. Lee, K.E. Schmidt, Green’s function Monte Carlo for few fermion problems, J. Chem. Phys. 77, 5562 (1982). https://doi.org/10.1063/1.443762 [Google Scholar]
  32. A. Zoia, A. Rouchon, B. Gasse, C. Demazière, P. Vinai, Analysis of the neutron noise induced by fuel assembly vibrations, Ann. Nucl. Energy 154, 108061 (2021). https://doi.org/10.1016/j.anucene.2020.108061 [CrossRef] [Google Scholar]
  33. A. Fauvel, A. Rouchon, D. Mancusi, A. Zoia, Monte Carlo sampling strategy for a non-perturbative approach to the neutron noise equation: A proof of concept, in International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M &C 2025), pp. 996–1005. https://doi.org/10.13182/xyz-47104 [Google Scholar]
  34. S. Ulam, Random processes and transformations, in Proceedings of International Congress of Mathematicians (Cambridge, 1950), pp. 264–275 [Google Scholar]

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