EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 4 (2018) EPJ Nuclear Sci. Technol., 4 (2018) 46 References
Issue
EPJ Nuclear Sci. Technol.
Volume 4, 2018
Special Issue on 4th International Workshop on Nuclear Data Covariances, October 2–6, 2017, Aix en Provence, France – CW2017
Article Number 46
Number of page(s) 8
Section Applied Covariances
DOI https://doi.org/10.1051/epjn/2018027
Published online 14 November 2018
  1. S.C. van der Marck, Benchmarking ENDF/B-VII.1, JENDL-4.0 and JEFF-3.1.1 with MCNP6, Nucl. Data Sheets 113, 2935 (2012) [Google Scholar]
  2. K. Shibata et al., JENDL-4.0: a new library for nuclear science and engineering, J.Nucl. Sci. Technol. 48, 1 (2011) [CrossRef] [Google Scholar]
  3. I. Kodeli, Multidimensional deterministic nuclear data sensitivity and uncertainty code system: method and application, Nucl. Sci. Eng. 138, 45 (2001) [CrossRef] [Google Scholar]
  4. I. Kodeli, S. Slavič, SUSD3D computer code as part of the XSUN-2017 windows interface environment for deterministic radiation transport and cross section sensitivity uncertainty analysis, Sci. Technol. Nucl. Install. 2017, 16 (2017) [CrossRef] [Google Scholar]
  5. I. Kodeli, Cross section sensitivity analysis of 14 mev neutron benchmark experiment on Tungsten, J. Nucl. Mater. 329–333, 717 (2004) [CrossRef] [Google Scholar]
  6. U. Fischer, P. Batistoni, A. Klix, I. Kodeli, R. L. Perel, Neutronics R&D efforts in support of the European breeder blanket development programme, Nucl. Fusion 49, 065009 (2009) [CrossRef] [Google Scholar]
  7. P. Batistoni, M. Angelone, U. Fischer, A. Klix, I. Kodeli, D. Leichtle, M. Pillon, W. Pohorecki, R. Villari, Neutronics experiments for uncertainty assessment of tritium breeding in HCPB and HCLL blanket mock-ups irradiated with 14 MeV neutrons, Nucl. Fusion 52, 083014 (2012) [CrossRef] [Google Scholar]
  8. M. Angelone, U. Fischer, D. Flammini et al., Neutronics experiments, radiation detectors and nuclear techniques development in the EU in support of the TBM design for ITER, Fusion Eng. Des. 96–97, 2 (2015) [CrossRef] [Google Scholar]
  9. I. Kodeli, K. Kondo, R.L. Perel, U. Fischer, Cross-section sensitivity and uncertainty analysis of the FNG copper benchmark, Fusion Eng. Des. 109–111, 1222 (2016) [CrossRef] [Google Scholar]
  10. I. Kodeli, L. Snoj, Evaluation and uncertainty analysis of the KRITZ-2 critical benchmark experiments, Nucl. Sci. Eng. 171, 231 (2012) [CrossRef] [Google Scholar]
  11. I. Kodeli, Sensitivity and uncertainty in the effective delayed neutron fraction (βeff), Nucl. Instrum. Methods Phys. Res. A 715, 70 (2013) [Google Scholar]
  12. P. Romojaroa, F. Alvarez-Velarde, I. Kodeli et al., Nuclear data sensitivity and uncertainty analysis of effective neutron multiplication factor in various MYRRHA core configurations, Ann. Nucl. Energy 101, 330 (2017) [CrossRef] [Google Scholar]
  13. I. Kodeli, D.L. Aldama, P.F.A. de Leege, D. Legrady, J.E. Hoogenboom, P. Cowan, Multigroup coupled neutron-gamma cross-section library for deterministic and Monte Carlo borehole logging analysis, Nucl. Sci. Eng. 157, 210 (2007) [CrossRef] [Google Scholar]
  14. R.E. MacFarlane, D.W. Muir, The NJOY Nuclear Data Processing System Version 99 (RSICC Code Package PSR-368, LA-12740-M, Los Alamos National Laboratory, 1999) [Google Scholar]
  15. I. Kodeli, ANGELO-LAMBDA, Covariance Matrix Interpolation and Mathematical Verification, NEA-DB Computer Code Collection, NEA-1798/02, 2008 [Google Scholar]
  16. ZZ-SCALE6/COVA-44G, PACKAGE-ID: USCD-1236/02 (May 2009), USCD-1236/03, May 2012 [Google Scholar]
  17. C.J. Diez et al., Comparison of nuclear data uncertainty propagation methodologies for PWR burn-up simulations, Ann. Nucl. Energy 77, 101 (2015) [CrossRef] [Google Scholar]
  18. D. Rochman, O. Leray, A. Vasiliev, H. Ferroukhi, A.J. Koning, M. Fleming, J.C. Sublet, Bayesian Monte Carlo method for fission yield covariance information, Ann. Nucl. Energy 95, 125 (2016) [CrossRef] [Google Scholar]
  19. S. Tarride, I. Kodeli, K.-H. Schmidt, P. Dossantos-Uzarralde, in Proceeding 26th International Conference of Nuclear Energy for New Europe (NENE-2017), Bled, Sept. 2017 [Google Scholar]
  20. K.-H. Schmidt, B. Jurado, C. Amouroux, General Description of Fission Observables (Pergamon, 2014) [Google Scholar]
  21. A. Aures, F. Bostelmann, I.A. Kodeli, K. Velkov, W. Zwermann, Uncertainty in the delayed neutron fraction in fuel assembly depletion calculations, EPJ Web Conf. 146, 02052 (2017) [CrossRef] [Google Scholar]
  22. K. Furuta, Y. Oka, S. Kondo, A cross-section sensitivity and uncertainty analysis on fusion reactor blankets with SAD/SED eff ects, Nucl. Eng. Des. Fusion 3, 287 (1986) [CrossRef] [Google Scholar]
  23. V. Pronayaev, S. Tagesen, H. Vonach, S. Badikov, Improvement of the EFF-2 evaluations for 52Cr; 56Fe, 58Ni and 60Ni, EFF-DOC-377, 1995 [Google Scholar]
  24. H. Vonach, S. Tagesen, M. Wagner, A. Pavlik, Final Report for Contact nr. 395-89-8/FU/D/NET, EFF-DOC-85, 1991 [Google Scholar]
  25. I. Kodeli, Computational Tools for Cross-Section Sensitivity and Uncertainty Evaluation. Final Report on Task EFF-BB4-F, EFF-DOC-446, 1996 [Google Scholar]
  26. M.B. Chadwick, M.W. Herman, P. Obložinský, et al., ENDF/B-VII.1 nuclear data for science and technology: cross sections, covariances, Nucl. Data Sheets 112, 2887 (2011) [CrossRef] [Google Scholar]
  27. A.J. Koning, D. Rochman, J. Kopecky et al., TENDL- 2015 available from https://tendl.web.psi.ch/tendl_2015/tendl2015.html [Google Scholar]
  28. I. Kodeli, A. Trkov, R. Capote, Y. Nagaya, V. Maslov, Evaluation and use of the prompt fission neutron spectrum and spectra covariance matrices in criticality and shielding, Nucl. Instrum. Meth. Phys. Res. A 610, 540 (2009) [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.