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 31
Number of page(s) 4
Section Covariance Evaluation Methodology
Published online 14 November 2018
  1. V.M. Piksaikin et al., Prog. Nucl. Energy 41, 203 (2002) [CrossRef] [Google Scholar]
  2. G. Rudstam et al., NEA-WPEC-6 4, 2002, pp. 96–127 [Google Scholar]
  3. G.R. Keepin, Phys. Rev. 107, 231 (1957) [Google Scholar]
  4. M.C. Brady, T.R. England, Prog. Nucl. Energy 103, 129 (1989) [Google Scholar]
  5. R.W. Mills et al., in Nuclear Data for Science and Technology (Springer Science & Business Media, 1992), pp. 86–88 [CrossRef] [Google Scholar]
  6. D.E. Gremyachkin et al., Prog. Nucl. Energy 83, 13 (2015) [CrossRef] [Google Scholar]
  7. C. De Saint Jean et al., Nucl. Sci. Eng. 161, 363 (2009) [CrossRef] [Google Scholar]

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