Estimating (n, xn) Cross-Sections on Tungsten Isotopes using insights from (n, xn γ) measurements
References:[1] Joint Evaluated Fission and Fusion (Jeff) Nuclear Data Library https://www.oecd-nea.org/dbdata/jeff[2] D.A. Brown, M.B. Chadwick, R. Capote, et al., "ENDF/B-VIII.0: The 8th Major Release of the Nuclear Reaction Data Library with CIELO-project Cross Sections, New Standards and Thermal Scattering Data", Nuclear Data Sheets, 148: pp. 1-142 (2018).[3] The Japanese Evaluated Nuclear Data Library https://wwwndc.jaea.go.jp/jendl/jendl.html[4] Uncertainty and target accuracy assessment for innovative systems using recent covariance data evaluations. Report from Working Party on International Nuclear Data Evaluation Co-operation sub group 26[5] Haynes, W.M. (Ed.). (2016). CRC Handbook of Chemistry and Physics (97th ed.). CRC Press. https://doi.org/10.1201/9781315380476[6] Experimental Nuclear Reaction Database https://www-nds.iaea.org/exfor/[7] “Improving the accuracy of 182,184,186W(n, n’γ) cross sections calculations” G. Henning, M. Dupuis, et al.. In preparation for Physical Review C. (2024).[8] “From γ emissions to (n, xn) cross sections of interest: The role of GAINS and GRAPhEME in nuclear reaction modeling.” M. Kerveno, A. Bacquias, C. Borcea, Ph. Dessagne, G. Henning, et al. European Physical Journal A, 2015, 51 (12), pp.167. https://doi.org/10.1140/epja/i2015-15167-y[9] “GRAPhEME: A setup to measure (n, xn γ) reaction cross sections” G. Henning et al., 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), 2015, pp. 1-9, doi: 10.1109/ANIMMA.2015.7465505. https://doi.org/10.1109/ANIMMA.2015.7465505[10] “GELINA: A modern accelerator for high resolution neutron time of flight experiment”. A. Bensussan, J.M. Salome, Nucl. Instrum. Methods 155, 11 (1978) https://doi.org/10.1016/0029-554X(78)90181-7[11] “TALYS: modeling of nuclear reactions” Arjan Koning, Stephane Hilaire, Stephane Goriely. Eur. Phys. J. A 59 (6) 131 (2023) https://doi.org/10.1140/epja/s10050-023-01034-3[12] “EMPIRE: Nuclear Reaction Model Code System for Data Evaluation” M. Herman, R. Capote, B. Carlson, P. Obložinský, M. Sin, A. Trkov, H. Wienke, V. Zerkin, Nucl. Data Sheets 108, 2655 (2007) https://doi.org/10.1016/j.nds.2007.11.003[13] “Statistical Hauser-Feshbach theory with width-fluctuation correction including direct reaction channels for neutron-induced reactions at low energies” T. Kawano, R. Capote, S. Hilaire, P. Chau Huu-Tai, Phys. Rev. C 94, 014612 (2016) https://doi.org/10.1103/PhysRevC.94.014612[14] Henning, G. (2024). Applying Random Sampling methods to data analysis for uncertainty production, with an Open source and Open science outlook. Université de Strasbourg. 10.5281/zenodo.13364682
Authors
- G. Henning (ORCID: https://orcid.org/0000-0003-3678-8728)
Institutions
- Institut Pluridisciplinaire Hubert Curien (FR)
Publication Details
- Journal
- SPIRE - Sciences Po Institutional REpository
- Published
- 2025-06-23
- Primary Topic
- Nuclear reactor physics and engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00