Submit your paper
Search
Menu
All issues Volume 6 (2020) EPJ Nuclear Sci. Technol., 6 (2020) 9 References
Open Access
Issue
EPJ Nuclear Sci. Technol.
Volume 6, 2020
Article Number 9
Number of page(s) 8
DOI https://doi.org/10.1051/epjn/2020004
Published online 08 April 2020
  1. V.P. Lamirand, M. Hursin, G. Perret, P. Frajtag, O. Pakari, A. Pautz, Future experimental programmes in the crocus reactor, in Conference proceedings of RRFM/IGORR 2016, no. EPFL-CONF-218310 (2016), pp. 284–292 [Google Scholar]
  2. V.P. Lamirand, G. Perret, S. Radman, D.J. Siefman, M. Hursin, P. Frajtag, A. Gruel, P. Leconte, P. Blaise, A. Pautz, Design of separated element reflector experiments in crocus: Petale, in ISRD16 International Symposium on Reactor Dosimetry, No. CONF, 2017 [Google Scholar]
  3. A. Santamarina, C. Vaglio, P. Blaise, J. Klein, N. Huot, O. Litaize, N. Thiollay, J. Vidal, The perle experiment for the qualification of PWR heavy reflectors, in Proc. of Int. Conf. on the Physics of Reactors: Nuclear Power: A Sustainable Resource (PHYSOR2008), 2008 [Google Scholar]
  4. C. Vaglio-Gaudard, A. Santamarina, P. Blaise, O. Litaize, A. Lyoussi, G. Noguère, J. Ruggieri, J. Vidal, Interpretation of PERLE experiment for the validation of iron nuclear data using Monte Carlo calculations, Nucl. Sci. Eng. 166, 89 (2010) [CrossRef] [Google Scholar]
  5. A. Laureau, V. Lamirand, D. Rochman, A. Pautz, Uncertainty propagation based on correlated sampling technique for nuclear data applications, EPJ Nuclear Sci. Technol. 6, 8 (2020) [CrossRef] [EDP Sciences] [Google Scholar]
  6. A.J. Koning, D. Rochman, Modern nuclear data evaluation with the talys code system, Nucl. Data Sheets 113, 28412934 (2012) [CrossRef] [Google Scholar]
  7. J. Leppänen, M. Pusa, T. Viitanen, V. Valtavirta, T. Kaltiaisenaho, The Serpent Monte Carlo code: Status, development and applications in 2013, Ann. Nucl. Energy 82, 142 (2015) [CrossRef] [Google Scholar]
  8. J. Paratte, R. Früh, U. Kasemeyer, M. Kalugin, W. Timm, R. Chawla, A benchmark on the calculation of kinetic parameters based on reactivity effect experiments in the crocus reactor, Ann. Nucl. Energy 33, 739 (2006) [CrossRef] [Google Scholar]
  9. U. Kasemeyer, R. Früh, J. Paratte, R. Chawla, Benchmark on kinetic parameters in the crocus reactor, in International Reactor Physics Experiments Handbook (IRPhE) (4440) (Ed. 2007) 94 (2007) [Google Scholar]
  10. T. Goorley, M. James, T. Booth, F. Brown, J. Bull, L. Cox, J. Durkee, J. Elson, M. Fensin, R. Forster et al., Initial mcnp6 release overview, Nucl. Technol. 180, 298 (2012) [CrossRef] [Google Scholar]
  11. A. Laureau, Développement de modèles neutroniques pour le couplage thermohydraulique du MSFR et le calcul de paramètres cinétiques effectifs, Ph.D. thesis, Grenoble Alpes University, France, 2015 [Google Scholar]
  12. A. Laureau, L. Buiron, B. Fontaine, Local correlated sampling Monte Carlo calculations in the TFM neutronics approach for spatial and point kinetics applications, EPJ Nuclear Sci. Technol. 3, 16 (2017) [CrossRef] [EDP Sciences] [Google Scholar]
  13. A. Laureau, Y. Lederer, A. Krakovich, L. Buiron, B. Fontaine, Spatial analysis of unprotected transients in heterogeneous sodium fast reactors, Ann. Nucl. Energy 115, 554 (2018) [CrossRef] [Google Scholar]
  14. J. Leppänen, T. Viitanen, O. Hyvönen, Development of a Variance Reduction Scheme in the Serpent 2 Monte Carlo Code, in Proceedings of M&C, Jeju, Korea (2017), pp. 16–20 [Google Scholar]
  15. J. Hendricks, T. Booth, MCNP variance reduction overview, in Monte-Carlo Methods and Applications in Neutronics, Photonics and Statistical Physics (Springer, 1985), pp. 83–92 [CrossRef] [Google Scholar]
  16. Y.-K. Lee, Neutron deep penetration calculations in light water with Monte Carlo tripoli-4® variance reduction techniques, EPJ Web Conf. 153, 02011 (2017) [CrossRef] [Google Scholar]
  17. D. Rochman, E. Bauge, A. Vasiliev, H. Ferroukhi, Correlation ν¯p− σ− χ in the fast neutron range via integral information, EPJ Nuclear Sci. Technol. 3, 14 (2017) [CrossRef] [EDP Sciences] [Google Scholar]
  18. B. Efron, Nonparametric estimates of standard error: the jackknife, the bootstrap and other methods, Biometrika 68, 589 (1981) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.