Open Access
EPJ Nuclear Sci. Technol.
Volume 4, 2018
Article Number 7
Number of page(s) 10
Published online 15 May 2018
  1. D. Rochman, E. Bauge, A. Vasiliev, H. Ferroukhi, Correlation nu-sigma-chi in the fast neutron range via integral information, EPJ Nuclear Sci. Technol. N3, 14 (2017) [CrossRef] [EDP Sciences] [Google Scholar]
  2. G. Palmiotti, H. Hiruta, M. Salvatores, M. Herman, P. Oblozinsky, M.T. Pigni, Use of Covariance Matrices in a Consistent (Multiscale) Data Assimilation for Improvement of Basic Nuclear Parameters in Nuclear Reactor Applications: from Meters to Femtometers, J. Korean Phys. Soc. 59, 1123 (2011) [Google Scholar]
  3. M. Salvatores et al., Methods and issues for the combined use of integral experiments and covariance data, Tech. rep., Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD-NEA), WPEC-33. NEA/NSC/WPEC/DOC(2013)445 [Google Scholar]
  4. C. De Saint Jean, P. Archier, E. Privas, G. Noguere, O. Litaize, P. Leconte, Evaluation of cross section uncertainties using physical constraints: Focus on integral experiment, Nucl. Data Sheets 123, 178 (2015) [CrossRef] [Google Scholar]
  5. J.B. Briggs Ed., International Handbook of evaluated Criticality Safety Benchmark Experiments, NEA/NSC/DOC(95)03/I (Organization for Economic Co-operation and Development, Nuclear Energy Agency, 2004) [Google Scholar]
  6. A.J. Koning, Bayesian Monte Carlo method for nuclear data evaluation, Eur. Phys. J. A51, 184 (2015) [Google Scholar]
  7. A.J. Koning, D. Rochman, J. Kopecky, J. Ch. Sublet, E. Bauge, S. Hilaire, P. Romain, B. Morillon, H. Duarte, S. van der Marck, S. Pomp, H. Sjostrand, R. Forrest, H. Henriksson, O. Cabellos, S. Goriely J. Leppanen, H. Leeb, A. Plompen, R. Mills, TENDL-2014: TALYS-based evaluated nuclear data library [Google Scholar]
  8. A.J. Koning, D. Rochman, Modern nuclear data evaluation with the TALYS code system, Nucl. Data Sheets 113, 2841 (2012) [CrossRef] [Google Scholar]
  9. R.E. MacFarlane, A.C. Kahler, Methods for processing ENDF/B-VII with NJOY, Nucl. Data Sheets 111, 2739 (2010) [Google Scholar]
  10. J.Ch. Sublet, R.N. Blomquist, S. Goluoglu, R.E. McFarlane, Unresolved resonance range cross section probability and self shielding factors, CEA report CEA -R-6227 France, 2009 [Google Scholar]
  11. A.J. Koning, D. Rochman, Towards sustainable nuclear energy: Putting nuclear physics to work, Ann. Nucl. Energy 35, 2024 (2008) [CrossRef] [Google Scholar]
  12. E. Bauge, P. Dossantos-Uzarralde, Evaluation of the Covariance Matrix of 239Pu Neutronic Cross Sections in the Continuum Using the Backward-Forward Monte-Carlo Method, J. Korean Phys. Soc. 59, 1218 (2011) [CrossRef] [Google Scholar]
  13. R. Capote, D.L. Smith, A. Trkov, M. Meghzifene, A new formulation of the Unified Monte Carlo Approach (UMC-B) and cross-section evaluation for the dosimetry reaction 55Mn(n, Formula )56Mn, J. ASTM Int. 9, 1 (2012) [Google Scholar]
  14. P. Helgesson, D. Rochman, H. Sjostrand, E. Alhassan, A.J. Koning, UO Versus MOX: Propagated Nuclear Data Uncertainty for keff, with Burnup, Nucl. Sci. Eng. 177, 321 (2014) [CrossRef] [Google Scholar]
  15. T. Goorley, MCNP 6.1.1 − Beta release Notes, Los Alamos National Laboratory, Report LA-UR-14-24680, June 2014. [Google Scholar]
  16. C. De Saint Jean, P. Archier, E. Privas, G. Noguere, On the use of Bayesian Monte-Carlo in evaluation of nuclear data EPJ Web of Conferences, in ND 2016: International Conference on Nuclear Data for Science and Technology, 146, 02007 (2017) [Google Scholar]
  17. M. Chadwick, M. Herman, P. Oblozinsky, M.E. Dunn, Y. Danon, A.C. Kahler, D.L. Smith, B. Pritychenko, G. Arbanas, R. Arcilla, R. Brewer, D.A. Brown, R. Capote, A.D. Carlson, Y.S. Cho, H. Derrien, K. Guber, G.M. Hale, S. Hoblit, S. Holloway, T.D. Johnson, T. Kawano, B.C. Kiedrowski, H. Kim, S. Kunieda, N.M. Larson, L. Leal, J.P. Lestone, R.C. Little, E.A. McCutchan, R.E. MacFarlane, M. MacInnes, C.M. Mattoon, R.D. McKnight, S.F. Mughabghab, G.P.A. Nobre, G. Palmiotti, A. Palumbo, M.T. Pigni, V.G. Pronyaev, R.O. Sayer, A.A. Sonzogni, N.C. Summers, P. Talou, I.J. Thompson, A. Trkov, R.L. Vogt, S.C. van der Marck, A. Wallner, M.C. White, D. Wiarda, P.G. Young, 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]
  18. A.J. Plompen, T. Kawano, Inelastic Scattering and Capture Cross-section Data of Major Actinides in the Fast Neutron Region, Summary Report (IAEA Nuclear Data Section, Vienna, INDC(NDS-0597, 2012) [Google Scholar]
  19. A.D. Carlson, V.G. Pronyaev, D.L. Smith, N.M. Larson, Zhenpeng Chen, G.M. Hale, F.-J. Hambsch, E.V. Gai, Soo-Youl Oh, S.A. Badikov, T. Kawano, H.M. Hofmann, H. Vonach, S. Tagesen, International Evaluation of Neutron Cross Section Standards, Nucl. Data Sheets 110, 3215 (2009) [CrossRef] [Google Scholar]
  20. G. Palmiotti, M. Salvatores, K. Yokoyama, Methods and Approaches to Provide Feedback from Nuclear and Covariance Data Adjustment for Improvement of Nuclear Data Files, Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD-NEA), WPEC-39, NEA/NSC/R 2016, (2017) [Google Scholar]
  21. M. Sin, R. Capote, M.W. Herman, A. Trkov, Modeling neutron-induced reactions on 232−237U from 10 keV to 30 MeV, Nucl. Data Sheets 139, 138 (2017) [Google Scholar]
  22. P. Romain, B. Morillon, H. Duarte, Buyères-le-Châtel evaluation of actinides with th TALYS code: the fission channel, Nucl. Data Sheets 131, 222 (2016) [CrossRef] [EDP Sciences] [Google Scholar]
  23. E. Bauge, G. Bélier, J. Cartier, A. Chatillon, J.M. Daugas, J.P. Delaroche, P. Dossantos-Uzarralde, H. Duarte, N. Dubray, M. Ducauze-Philippe, L. Gaudefroy, G. Gosselin, T. Granier, S Hilaire, Huu-Tai P. Chau, J.M. Laborie, B. Laurent, X. Ledoux, C. Le Luel, V. Méot, P. Morel, B. Morillon, O. Roig, P. Romain, J. Taieb, C. Varignon, N. Authier, P. Casoli, B. Richard, Coherent investigation of nuclear data at CEA DAM: Theoretical models, experiments and evaluated data, Eur. Phys. J. A 48, 113 (2012) [CrossRef] [EDP Sciences] [Google Scholar]
  24. E. Bauge, M. Dupuis, S. Hilaire, S. Péru, A.J. Koning, D. Rochman, S. Goriely, Nucl. Data Sheets 118, 32 (2014) [CrossRef] [Google Scholar]

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