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All issues Volume 284 (2023) EPJ Web of Conf., 284 (2023) 01022 References
Open Access
Issue
EPJ Web of Conf.
Volume 284, 2023
15th International Conference on Nuclear Data for Science and Technology (ND2022)
Article Number 01022
Number of page(s) 4
Section Nuclear Reaction Measurements
DOI https://doi.org/10.1051/epjconf/202328401022
Published online 26 May 2023
  1. NEA/WPEC-26, “Uncertainty and Target Accuracy Assessment for Innovative Systems Using Recent Covariance Data Evaluations.” M. Salvatores, et al. (2008) [Google Scholar]
  2. NEA Nuclear Data High Priority Request List https://www.oecd-nea.org/dbdata/hprl/search.pl [Google Scholar]
  3. G. Henning et al., “GRAPhEME: A setup to measure (n, xnγ) reaction cross-sections,” 2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), 2015, pp. 1-9, doi: 10.1109/ANI-MMA.2015.7465505. [Google Scholar]
  4. D. Tronc, J. Salomé, and K. Böckhoff, Nucl. Instrum. Methods Phys. Res. A 228, 217 (1985). [CrossRef] [Google Scholar]
  5. D. Ene, C. Borcea, S. Kopecky, W. Mondelaers, A. Negret, and A. Plompen, Nucl. Instrum. Methods Phys. Res. A 618, 54 (2010). [CrossRef] [Google Scholar]
  6. “What can we learn from (n, xn γ) cross sections about reaction mechanism and nuclear structure ?”, by Kerveno, Maëlle and Dupuis, Marc and Borcea, Catalin and Boromiza, Marian and Capote, Roberto and Dessagne, Philippe and Henning, Greg andHilaire, Stéphane and Kawano, Toshihiko and Negret, Alexandra and Nyman, Markus and Olacel, Adina and Party, Eliot and Plompen, Arjan and Romain, Pascal and Sin, Mihaela. ND 2019 : International Conference on Nuclear Data for Science and Technology (2019). 10.1051/epjconf/202023901023 https://hal.archives-ouvertes.fr/hal-02957494 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  7. “How to produce accurate inelastic cross sections from an indirect measurement method ?”, by Kerveno, Maëlle and Henning, Greg and Borcea, Catalin and Dessagne, Philippe and Dupuis, Marc and Hilaire, Stéphane and Negret, Alexandru and Nyman, Markus and Olacel, Adina and Party, Eliot and Plompen, Arjan in EPJ N - Nuclear Sciences and Technologies 4, (2018). 10.1051/epjn/2018020 https://hal.archives-ouvertes.fr/hal-02109918 [CrossRef] [EDP Sciences] [Google Scholar]
  8. “From γ emissions to (n,xn) cross sections of interest : The role of GAINS and GRAPhEME in nuclear reaction modeling”, by Kerveno, M. and Bacquias, A. and Borcea, C. and Dessagne, Ph. and Henning, G. and Mihailescu, C. and Negret, A. and Nyman, M. and Olacel, A. and Plompen, M. and Rouki, C. and Rudolf, G. and Thiry, C. in European Physical Journal A 51, 12 (2015). 10.1140/epja/i2015-15167-y https://hal.archives-ouvertes.fr/hal-02154831 [CrossRef] [Google Scholar]
  9. Eliot Party, Catalin. Borcea, Philippe Dessagne, Xavier Doligez, Grégoire. Henning, et al.. Neutron inelastic scattering of 232 Th: measurements and beyond. 5th International Workshop On Nuclear Data Evaluation for Reactor applications (WONDER-2018), Oct 2018, Aix en Provence, France. pp.03005, ⟨10.1051/epjconf/201921103005⟩. ⟨hal-02307897⟩ [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  10. M. Kerveno, J. Thiry, A. Bacquias, C. Borcea, P. Dessagne, et al.. Measurement of 235U(n, n’ γ and 235U(n, 2n γ) reaction cross sections. Physical Review C, American Physical Society, 2013, 87 (2), ⟨10.1103/PhysRevC.87.024609⟩. ⟨hal-02307372⟩ [Google Scholar]
  11. M. Kerveno, M. Dupuis, A. Bacquias, F. Belloni, D. Bernard, et al.. Measurement of 238U(n,n’γ) cross section data and their impact on reaction models. Physical Review C, American Physical Society, 2021, 104 (4), pp.044605. ⟨10.1103/PhysRevC.104.044605⟩. ⟨hal-03382914⟩ [Google Scholar]
  12. G. Henning, Antoine Bacquias, Catalin Borcea, Mariam Boromiza, Roberto Capote, et al.. MEASUREMENT OF 182,184,186 W (N, N’ γ) CROSS SECTIONS AND WHAT WE CAN LEARN FROM IT. EPJ Web of Conferences, EDP Sciences, 2021, 247, pp.09003. ⟨10.1051/epjconf/202124709003⟩. ⟨hal-0319727). [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  13. A. Koning, S. Hilaire, M. Duijvestijn, “TALYS-1.0” International Conference on Nuclear Data for Science and Technology (2007), EDP Sciences, 2008, pp. 211-214, http://www.talys.eu/ [Google Scholar]
  14. Herman, M., “EMPIRE: Nuclear Reaction Model Code System for Data Evaluation”, Nuclear Data Sheets, vol. 108, no. 12, pp. 2655–2715, 2007. doi:10.1016/j.nds.2007.11.003. [CrossRef] [Google Scholar]
  15. Monte Carlo Simulation for Particle and γ-Ray Emissions in Statistical Hauser-Feshbach Model Toshihiko KAWANO, Patrick TALOU, Mark B. CHAD-WICK, and Takehito WATANABE, Journal of NUCLEAR SCIENCE and TECHNOLOGY, Vol. 47, No. 5, p. 462–469 (2010) [Google Scholar]
  16. Evaluated Nuclear Structure Data File (ENSDF) database, NNDC, Brookhaven National Laboratory, http://www.nndc.bnl.gov/ [Google Scholar]
  17. Reference Input Parameter Library IAEA / Nucelar Data Service https://www nds.iaea.org/RIPL 3/ [Google Scholar]
  18. E. Browne, J.K. Tuli, Nuclear Data Sheets for A = 238, Nuclear Data Sheets, Volume 127, 2015, Pages 191-332, https://doi.org/10.1016/j.nds.2015.07.003. [Google Scholar]
  19. NuDat3, Evaluated Nuclear Structure Data File at National Nuclear Data Center www.nndc.bnl.gov [Google Scholar]
  20. Experimental Nuclear Reaction Data (EXFOR) https://www-nds.iaea.org/exfor/ [Google Scholar]
  21. Eliot Party. Etude des réactions (n, xn) pour les noyaux fertiles / fissiles du cycle du combustible innovant au Thorium. Thèse Uni. Strasbourg (2019) [Google Scholar]
  22. Using Monte-Carlo method to analyze experimental data and produce uncertainties and covariances. Greg Henning, M. Kerveno, Ph. Dessagne, C. Chatel, F. Claeys, N. Dari Bako, M. Dupuis, S. Hilaire, P. Romain, C. de Saint-Jean R. Capote, M. Boromiza, A. Olacel, A. Negret, C. Borcea, A.J.M. Plompen, C. Paradela, M. Nyman, J. C. Drohé, R. Wynants. Contribution to 15th International Conference on Nuclear Data for Science and Technology (ND2022). [Google Scholar]
  23. Measurement of 238U(n, n’γ) cross section data and their impact on reaction models, M. Kerveno, et al., Physical Review C 104, 044605 (2021). [CrossRef] [Google Scholar]

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