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All issues Volume 11 (2025) EPJ Nuclear Sci. Technol., 11 (2025) 8 References
Issue
EPJ Nuclear Sci. Technol.
Volume 11, 2025
Status and advances of Monte Carlo codes for particle transport simulation
Article Number 8
Number of page(s) 6
DOI https://doi.org/10.1051/epjn/2025002
Published online 04 March 2025
  1. M. Caillaud, S. Lemaire, S. Ménard, P. Rathouit, J.C. Ribes, D. Riz, SNA + MC 2013 – Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (2014) [Google Scholar]
  2. MCNP Code Version 6.3.0 Theory & User Manual, Los Alamos National Laboratory, LA-UR-22-30006, Rev. 1 (2022) [Google Scholar]
  3. E. Brun, F. Damian, C. Diop, E. Dumonteil, F. Hugot, C. Jouanne, et al., TRIPOLI-4, CEA, EDF and AREVA reference monte carlo code, Ann. Nucl. Energy 82, 151 (2015) [CrossRef] [Google Scholar]
  4. A Message-Passing Interface Standard Version 4.0 (2021), https://www.mpi-forum.org/docs/mpi-4.0/mpi40-report.pdf [Google Scholar]
  5. L. Dagum, R. Menon, OpenMP: an industry standard API for shared-memory programming, IEEE Comput. Sci. Eng. 5, 46 (1998) [CrossRef] [Google Scholar]
  6. B.P. Nigam, et al., Phys. Rev. 115, 491 (1959) [CrossRef] [Google Scholar]
  7. W.L. Thompson, O.L. Deutsch, T.E. Booth, Deep-Penetration Calculations, A Review of the Theory and Application of Monte Carlo Methods, in Proceedings of a Seminar-Workshop, Oak Ridge Tennessee, April 21–23, ORNL/RSIC-44 (1980) [Google Scholar]
  8. W.L. Thompson, E.D. Cashwell, The Status of Monte Carlo at Los Alamos, A Review of the Theory and Application of Monte Carlo Methods, in Proceedings of a Seminar-Workshop, Oak Ridge Tennessee, April 21–23, ORNL/RSIC-44 (1980) [Google Scholar]
  9. E. Woodcock, T. Murphy, P. Hemmings, S. Longworth, Techniques used in the GEM code for Monte Carlo neutronics calculations in reactors and other systems of complex geometry, in Proc. Conf. Application of Computing Methods to Reactor Problems, ANL-7050, Argone National Laboratory (1965) [Google Scholar]
  10. L.L. Carter, E.D. Cashwell, W.M. Tatlor, Nucl. Sci. Eng. 48, 403 (1972) [CrossRef] [Google Scholar]
  11. International Handbook of Evaluated Criticality Safety Benchmark Experiments 2021, Vol. I, NEA/NSC/DOC(95)03 [Google Scholar]
  12. M.B. Chadwick, et al., ENDF/B-VII.1 Nuclear Data for Science and Technology: Cross Sections, Covariances, Fission Product Yields and Decay Data, Nucl. Data Sheets 112, 2887 (2011) [CrossRef] [Google Scholar]
  13. S. Kitsos, et al., Nucl. Sci. Eng., 123, 215 (1996) [CrossRef] [Google Scholar]
  14. D. Riz, M. Caillaud, Proc. ANS Physor, Pittsburgh, USA (2000) [Google Scholar]
  15. C. Toccoli, et al., Nucl. Technology, 168, 933 (2009) [CrossRef] [Google Scholar]
  16. T.K. Tuyet, et al., ICRS14/RPSD (2022) [Google Scholar]
  17. A. Sari, et al. (to be published) [Google Scholar]
  18. T. Sato, et al., Recent improvements of the Particle and Heavy Ion Transport code System – PHITS version 3.33, J. Nucl. Sci. Technol. 61, 127 (2024) [CrossRef] [Google Scholar]
  19. S. Agostinelli, et al., Nucl. Instrum. Meth. A 506, 250 (2003) [CrossRef] [Google Scholar]
  20. J. Allison, et al., IEEE Trans. Nucl. Sci. 53, 270 (2006) [Google Scholar]
  21. J. Allison, et al., Nucl. Instrum. Meth. A 835, 186(2016) [CrossRef] [Google Scholar]
  22. G.C. Pomraning, Linear Kinetic Theory and Particle Transport in Stochastic Mixtures (World Scientific Publishing, NJ, USA, 1991) [CrossRef] [Google Scholar]
  23. G.C. Pomraning, Adv. Nuc. Sci. Tech. 24, 47 (1996) [CrossRef] [Google Scholar]
  24. S. Torquato, Random Heterogeneous Materials: Microstructure and Macroscopic Properties (Springer-Verlag, New York, USA, 2013) [Google Scholar]
  25. O. Haran, D. Shvarts, R., Thieberger, Phys. Rev. E 61, 6183 (2000) [CrossRef] [Google Scholar]
  26. G.B. Zimmerman, Lawrence Livermore National Laboratory Report UCRL-JC-105616 (1990) [Google Scholar]
  27. G.B. Zimmerman, M.L. Adams, Trans. Am. Nucl. Soc. 66, 287 (1991) [Google Scholar]
  28. D.C. Sahni, J. Math. Phys. 30, 1554 (1989) [CrossRef] [Google Scholar]
  29. D.C. Sahni, Ann. Nucl. Energy 16, 397 (1989) [CrossRef] [Google Scholar]
  30. C. Larmier, Stochastic Particle Transport in Disordered Media: Beyond the Boltzmann Equation, Université Paris-Saclay, France (2018) [Google Scholar]
  31. C. Larmier, F.-X. Hugot, F. Malvagi, A. Mazzolo, A. Zoia, Benchmark solutions for d-dimensional Markov binary mixtures, J. Quant. Spectrosc. Radiat. Transf. 189, 133 (2017) [CrossRef] [Google Scholar]
  32. M.A. Kowalski, C. Larmier, F. Madiot, J. Durand, S. Lemaire, A. Zoia, Particle transport in Markov media with spatial gradients: Comparison between reference solutions and Chord Length Sampling, J. Quant. Spectrosc. Radiat. Transf. 286, 108185 (2022) [CrossRef] [Google Scholar]
  33. Internal report CEA/DAM [Google Scholar]
  34. C. Larmier, A. Lam, P. Brantley, F. Malvagi, T. Palmer, A. Zoia, Monte Carlo Chord Length Sampling for d-dimensional Markov binary mixtures, J. Quant. Spectrosc. Radiat. Transf. 204, 256 (2018) [CrossRef] [Google Scholar]
  35. C. Larmier, A. Zoia, F. Malvagi, E. Dumonteil, A. Mazzolo, Poisson-Box Sampling algorithm for three-dimensional Markov binary mixtures, J. Quant. Spectrosc. Radiat. Transf. 206, 70 (2018) [CrossRef] [Google Scholar]
  36. A. Tentori, C. Larmier, J. Durand, B. Cochet, A. Zoia, Phys. Rev. E 109, 035302 (2024) [CrossRef] [Google Scholar]
  37. A. Sood, R.A. Forster, D.K. Parsons, Analytical Benchmark Test Set for Criticality Code Verification, LA-UR-01-3082 (2001) [Google Scholar]

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