EPJ Web Conf.
Volume 239, 2020ND 2019: International Conference on Nuclear Data for Science and Technology
|Number of page(s)||8|
|Published online||30 September 2020|
- Working Party on International Nuclear Data Evaluation Co-operation (WPEC), https://www.oecd-nea.org/science/wpec/ [Google Scholar]
- C.W. Reich and M.S. Moore, “Multilevel Formula for the Fission Process", Phys. Rev. 111 929 (1958). [Google Scholar]
- A.M. Lane and R.G. Thomas, “R-matrix theory of nuclear reactions", Rev. Mod. Phys. 30 257 (1958). [Google Scholar]
- M. Herman, S. Hoblit, G.P.A. Nobre, A. Palumbo, M.T. Pigni, G. Palmiotti, H. Hiruta, M. Salvatores, “Use of Covariances in a Consistent Data Assimilation for Improvement of Basic Nuclear Parameters in Nuclear Reactor Applications: From Meters to Femtometers", BNL Report BNL-99142-2013-IR, https://www.bnl.gov/isd/documents/79809.pdf [Google Scholar]
- M. Herman, R. Capote, B. Carlson, P. Obložinský, M. Sin, A. Trkov, W. H., and V. Zerkin, “EMPIRE: Nuclear Reaction Model Code System for Data Evaluation,” Nuclear Data Sheets, 108, 2655 (2007). [CrossRef] [Google Scholar]
- P. Grechanuk, M.E. Rising and T.S. Palmer, “Using Machine Learning Methods to Predict Bias in Nuclear Criticality Safety", Jour. of Computational and Theoretical Transport, 47, NOS. 4-6, 552 (2018), https://doi.org./10.1080/23324309.2019.1585877 [CrossRef] [Google Scholar]
- P. Grechanuk, M.E. Rising and T.S. Palmer, “Identifying Sources of Bias from Nuclear Data in MCNP6 Calculations using Machine Learning Algorithms", M&C 2019, International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, 2019-08-25, Portland, Oregon, United States. [Google Scholar]
- https://lansce.lanl.gov/facilities/wnr/flight-paths/chi-nu/index.php [Google Scholar]
- https://lansce.lanl.gov/facilities/wnr/flight-paths/fp-15R/index.php [Google Scholar]
- https://lansce.lanl.gov/facilities/wnr/flight-paths/fp-90L/index.php [Google Scholar]
- B. Becker, P. Talou, T. Kawano et al. , “ Monte Carlo Hauser-Feshbach Predictions of Prompt Fission γ Rays: Application to nth+235U, nth+239Pu, and 252Cf (sf)", Phys. Rev. C 87, 014617 (2013). [Google Scholar]
- L. Leal and R. Sayer, “CSEWG-2014: Resonance Evaluations for 16O for the CIELO Project.” [Google Scholar]
- R. Vogt, J. Randrup, J. Pruet et al. , “Event-by-event Study of Prompt Neutrons from 239Pu(n, f),” Phys. Rev. C 80, 044611 (2009). [Google Scholar]
- O. Litaize and O. Serot, “Investigation of Phe-nomenological Models for the Monte Carlo Simulation of the Prompt Fission Neutron and γ Emission,” Phys. Rev.C 82, 054616 (2010). [CrossRef] [Google Scholar]
- D.G. Madland and J.R. Nix, “New Calculation of Prompt Fission Neutron-Spectra and Average Prompt Neutron Multiplicities,” Nucl. Sci. and Eng., 81, 213-271 (1982). [Google Scholar]
- D. Rochman and M. Herman, “WPEC-SG-49 Reproducibility in Nuclear Data Evaluation,” https://www.oecd-nea.org/science/wpec/sg49/ [Google Scholar]
- M. White and D. Bernard, “WPEC-SG-45 Validation of Nuclear Data Libraries (VaNDaL) Project,” https://www.oecd-nea.org/science/wpec/sg45/ [Google Scholar]
- I. Kodeli, “WPEC-SG-47 Use of Shielding Integral Benchmark Archive and Database for Nuclear Data Validation,” https://www.oecd-nea.org/science/wpec/sg47/index.html [Google Scholar]
- M. Salvatores and G. Palmiotti, “WPEC-SG-46 Efficient and Effective Use of Integral Experiments for Nuclear Data Validation.,” https://www.oecd-nea.org/science/wpec/sg46/ [Google Scholar]
- G. Palmiotti and M. Salvatores, “WPEC-SG-39 Methods and Approaches to Provide Feedback from Nuclear and Covariance Data Adjustment for Improvement of Nuclear Data Files,” https://www.oecd-nea.org/science/wpec/sg39/ [Google Scholar]
- G. Palmiotti and M. Salvatores, “WPEC-SG-33 Methods and Issues for the Combined Use of Integral Experiments and Covariance Data,” https://www.oecd-nea.org/science/wpec/sg33/ [Google Scholar]
- M. Salvatores, G. Palmiotti, G.A. Aliberti et al. , “Methods and Issues for the Combined Use of Integral Experiments and Covariance Data" A report by the Working Party on International Nuclear Data Evaluation Co-operation of the NEA Nuclear Science Committee NEA/NSC/WPEC/DOC(2013)445, Nuclear Energy Agency (2013). [Google Scholar]
- M. Salvatores, G. Aliberti, M.D. Dunn et al. , “WPEC-SG-26 Uncertainty and Target Accuracy Assessment for Innovative Systems Using Recent Covari-ance Data Evaluations,” International Evaluation Cooperation 26 ISBN 978-92-64-99053-1, OECD Nuclear Energy Agency (2008). [Google Scholar]
- M.B. Chadwick, R. Capote, A. Trkov et al. , “CIELO Collaboration Summary Results: International Evaluations of Neutron Reactions on Uranium, Plutonium, Iron, Oxygen and Hydrogen”, Nuclear Data Sheets, 148, 189-213 (2018). [Google Scholar]
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