JENDL/DEU-2020: deuteron nuclear data library for design studies of accelerator-based neutron sources

References

• Kim YJ. Current status of experimental facilities at RAON. Nucl Instrum Methods Phys Res Sect B. 2020;463:408–414.
   Web of Science ®Google Scholar
• Ledoux X, Ache M, Avrigeanu M, et al. The neutrons for science facility at SPIRAL-2. Nucl Data Sheets. 2014;119:353–356.
   Google Scholar
• Nagai Y, Hashimoto K, Hatsukawa Y, et al. Generation of radioisotopes with accelerator neutrons by deuterons. J Phys Soc Jpn. 2013;82:064201.
   Google Scholar
• Okuno H, Sakurai H, Mori Y, et al. Proposal of a 1-ampere-class deuteron single-cell linac for nuclear transmutation. Proc Jpn Acad B. 2019;95:430–439. .
   PubMed Web of Science ®Google Scholar
• Iwamoto Y, Sato T, Hashimoto S, et al. Benchmark study of the recent version of the PHITS code. J Nucl Sci Technol. 2017;54:617–635.
   Web of Science ®Google Scholar
• Dudouet J, Durand D. Model for particle production in nuclear reactions at intermediate energies: application to CC collisions at 95 MeV/nucleon. Phys Rev C. 2016;94:014616.
   Web of Science ®Google Scholar
• Chadwick M, Herman M, Obložinskỳ P, et al. ENDF/B-VII.1 nuclear data for science and technology: cross sections, covariances, fission product yields and decay data. Nucl Data Sheets. 2011;112:2887–2996.
   Google Scholar
• Brown DA, Chadwick M, Capote R, 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. Nucl Data Sheets. 2018;148:1–142.
   Google Scholar
• Koning A, Rochman D, Sublet JC, et al. TENDL: complete nuclear data library for innovative nuclear science and technology. Nucl Data Sheets. 2019;155:1–55.
   Google Scholar
• Koning AJ, Hilaire S, Duijvestijn M TALYS-1.0. In: Proceedings of2007 International Conference on Nuclear Data for Science and Technology (ND2007); 22nd-27th April; Nice, France; 2007. p. 211–214.
   Google Scholar
• Pereslavtsev P, Fischer U, Simakov S, et al. Evaluation of d+6,7Li data for deuteron incident energies up to 50 MeV. Nucl Instrum Methods Phys Res Sect B. 2008;266:3501–3512.
   Web of Science ®Google Scholar
• Simakov S, Fischer U, Kondo K, et al. Status of the McDeLicious approach for the D-Li neutron source term modeling in IFMIF neutronics calculations. Fusion Sci Technol. 2012;62:233–239.
   Web of Science ®Google Scholar
• Goorley T, James M, Booth T, et al. Initial MCNP6 release overview. Nucl Technol. 2012;180:298–315.
   Web of Science ®Google Scholar
• Kondo K, Arbeiter F, Fischer U, et al. Neutronic analysis for the IFMIF target and test cell using a new CAD-based geometry model. Fusion Eng Des. 2012;87:983–988.
   Web of Science ®Google Scholar
• Moeslang A, Heinzel V, Matsui H, et al. The IFMIF test facilities design. Fusion Eng Des. 2006;81:863–871.
   Web of Science ®Google Scholar
• Nakayama S, Watanabe Y. Systematic investigation of spectroscopic factors from (d,p) reactions for deuteron nuclear data evaluation. J Nucl Sci Technol. 2016;53:89–101.
   Web of Science ®Google Scholar
• Nakayama S, Kouno H, Watanabe Y, et al. Theoretical model analysis of (d,xn) reactions on 9Be and 12C at incident energies up to 50 MeV. Phys Rev C. 2016;94:014618.
   Web of Science ®Google Scholar
• Nakayama S, Kouno H, Watanabe Y, et al. Development of a code system DEURACS for theoretical analysis and prediction of deuteron-induced reactions. EPJ Web Conf. 2017;146:12025.
   Google Scholar
• Nakayama S, Iwamoto O, Watanabe Y. Consistent description of light composite particle emission in deuteron-induced reactions. Phys Rev C. 2019;100:044603.
   Web of Science ®Google Scholar
• Nakayama S, Furutachi N, Iwamoto O, et al. Role of breakup processes in deuteron-induced spallation reactions at 100–200 MeV/nucleon. Phys Rev C. 2018;98:044606.
   Web of Science ®Google Scholar
• Jha V, Parkar V, Kailas S. Incomplete fusion reactions using strongly and weakly bound projectiles. Phys Rep. 2020;845:1–58.
   Web of Science ®Google Scholar
• Yahiro M, Ogata K, Matsumoto T, et al. The continuum discretized coupled-channels method and its applications. Prog Theor Exp Phys. 2012;2012:01A206.
   Web of Science ®Google Scholar
• Ye T, Hashimoto S, Watanabe Y, et al. Analysis of inclusive (d,xp) reactions on nuclei from 9Be to 238U at 100 MeV. Phys Rev C. 2011;84:054606.
   Web of Science ®Google Scholar
• Kunz P, Rost E The distorted-wave Born approximation. In: Computational nuclear physics 2. Springer; 1993. p. 88–107.
   Google Scholar
• Iwamoto O. Development of a comprehensive code for nuclear data evaluation, CCONE, and validation using neutron-induced cross sections for uranium isotopes. J Nucl Sci Technol. 2007;44:687–697.
   Web of Science ®Google Scholar
• Iwamoto O, Iwamoto N, Kunieda S, et al. The CCONE code system and its application to nuclear data evaluation for fission and other reactions. Nucl Data Sheets. 2016;131:259–288.
   Google Scholar
• Kalbach C. Surface effects in the exciton model of preequilibrium nuclear reactions. Phys Rev C. 1985;32:1157–1168.
   PubMed Web of Science ®Google Scholar
• Kalbach C. Two-component exciton model: basic formalism away from shell closures. Phys Rev C. 1986;33:818–833.
   PubMed Web of Science ®Google Scholar
• Gruppelaar H, Reffo G. Some properties of the width fluctuation factor. Nucl Sci Eng. 1977;62:756–763.
   Web of Science ®Google Scholar
• Kalbach C. Systematics of continuum angular distributions: extensions to higher energies. Phys Rev C. 1988;37:2350–2370.
   PubMed Web of Science ®Google Scholar
• Capote R, Herman M, Obložinskỳ P, et al. RIPL–reference input parameter library for calculation of nuclear reactions and nuclear data evaluations. Nucl Data Sheets. 2009;110:3107–3214.
   Google Scholar
• Bhat M Evaluated nuclear structure data file (ENSDF). In: Proceedings of 1991 International Conference on Nuclear Data for Science and Technology (ND1991); 13th-17th May; Jülich, Germany; 1991. p. 817–821.
   Google Scholar
• Koning A, Delaroche J. Local and global nucleon optical models from 1 keV to 200 MeV. Nucl Phys A. 2003;713:231–310.
   Web of Science ®Google Scholar
• Madland DG Recent results in the development of a global medium-energy nucleon-nucleus optical-model potential. In: Proceedings of A Specialist’s Meeting on Preequilibrium Nuclear Reactions; 10th-12th February; Semmering, Austria; 1988. p. 103–116.
   Google Scholar
• An H, Cai C. Global deuteron optical model potential for the energy range up to 183 MeV. Phys Rev C. 2006;73:054605.
   Web of Science ®Google Scholar
• Avrigeanu M, Avrigeanu V. α-particle nuclear surface absorption below the Coulomb barrier in heavy nuclei. Phys Rev C. 2010;82:014606.
   Web of Science ®Google Scholar
• Kunieda S, Chiba S, Shibata K, et al. Coupled-channels optical model analyses of nucleon-induced reactions for medium and heavy nuclei in the energy region from 1 keV to 200 MeV. J Nucl Sci Technol. 2007;44:838–852.
   Web of Science ®Google Scholar
• Kunieda S, Furutachi N, Minato F, et al. JENDL/ImPACT-2018: a new nuclear data library for innovative studies on transmutation of long-lived fission products. J Nucl Sci Technol. 2019;56:1073–1091.
   Web of Science ®Google Scholar
• Koning A, Duijvestijn M. A global pre-equilibrium analysis from 7 to 200 MeV based on the optical model potential. Nucl Phys A. 2004;744:15–76.
   Web of Science ®Google Scholar
• Gilbert A, Cameron A. A composite nuclear-level density formula with shell corrections. Can J Phys. 1965;43:1446–1496.
   Web of Science ®Google Scholar
• Mengoni A, Nakajima Y. Fermi-gas model parametrization of nuclear level density. J Nucl Sci Technol. 1994;31:151–162.
   Web of Science ®Google Scholar
• Trkov A, Herman M, Brown DA, editors. ENDF-6 formats manual: data formats and procedures for the evaluated nuclear data files ENDF/B-VI, ENDF/B-VII and ENDF/B-VIII. National Nuclear Data Center Brookhaven National Laboratory Upton, NY 11973-5000, USA: Written by the Members of the Cross Sections Evaluation Working Group; 2018.
   Google Scholar
• Sato T, Iwamoto Y, Hashimoto S, et al. Features of particle and heavy ion transport code system (PHITS) version 3.02. J Nucl Sci Technol. 2018;55:684–690.
   Web of Science ®Google Scholar
• Conlin JL, Romano P, Compact A ENDF (ACE) format specification. LA-UR-19-29016. Los Alamos, NM: Los Alamos National Laboratory; 2019.
   Google Scholar
• PHITS user’s manual. Tokai, Japan: Japan Atomic Energy Agency. [cited 2020 Dec 22]. Available from: https://phits.jaea.go.jp/
   Google Scholar
• MacFarlane RE, Kahler AC. Methods for processing ENDF/B-VII with NJOY. Nucl Data Sheets. 2010;111:2739–2890.
   Google Scholar
• Sasa T, Sugawara T, Kosako K, et al. Continuous energy cross section library for MCNP/MCNPX based on JENDL High Energy File 2007 -FXJH7-. JAEA-Data/Code 2008-022. Tokai, Japan: Japan Atomic Energy Agency; 2008.
   Google Scholar
• Hagiwara M, Itoga T, Kawata N, et al. Measurement of neutron emission spectra in Li(d, xn) reaction with thick and thin targets for 40-MeV deuterons. Fusion Sci Technol. 2005;48:1320–1328.
   Web of Science ®Google Scholar
• Ziegler JF, Ziegler MD, Biersack JP. SRIM – the stopping and range of ions in matter (2010). Nucl Instrum Methods Phys Res Sec B. 2010;268:1818–1823.
   Web of Science ®Google Scholar
• Otuka N, Dupont E, Semkova V, et al. Towards a more complete and accurate experimental nuclear reaction data library (EXFOR): international collaboration between nuclear reaction data centres (NRDC). Nucl Data Sheets. 2014;120:272–276.
   Google Scholar
• Watanabe Y, Sadamatsu H, Araki S, et al. Study of the Li(d, xn) reaction for the development of accelerator-based neutron sources. EPJ Web Conf. 2020;239:20012.
   Google Scholar
• Boudard A, Cugnon J, David JC, et al. New potentialities of the liège intranuclear cascade model for reactions induced by nucleons and light charged particles. Phys Rev C. 2013;87:014606.
   Web of Science ®Google Scholar
• Hashimoto S, Iwamoto Y, Sato T, et al. New approach to description of (d, xn) spectra at energies below 50 MeV in Monte Carlo simulation by intra-nuclear cascade code with distorted wave born approximation. Nucl Instrum Methods Phys Res Sec B. 2014;333:27–41.
   Web of Science ®Google Scholar
• Minomo K, Washiyama K, Ogata K. Deuteron–nucleus total reaction cross sections up to 1 GeV. J Nucl Sci Technol. 2017;54:127–130.
   Web of Science ®Google Scholar
• Kalbach C. Preequilibrium reactions with complex particle channels. Phys Rev C. 2005;71:034606.
   Web of Science ®Google Scholar
• Bem P, Burjan V, Gotz M, et al. Neutron spectra from the Li(d,xn) and 7Li(d,n) reactions initiated by 16.3 and 17 MeV deuterons. In: Proceedings of 12th International Seminar on Interaction of Neutrons with Nuclei (ISINN-12); 26th-29th May; Dubna, Russia; 2004. p. 168–175.
   Google Scholar
• Hagiwara M, Itoga T, Oishi T, et al. Experimental studies of neutron emission spectra in Li(d,xn) reactions for IFMIF. J Nucl Mater. 2011;417:1284–1287.
   Web of Science ®Google Scholar
• Araki S, Watanabe Y, Kitajima M, et al. Systematic measurement of double-differential neutron production cross sections for deuteron-induced reactions at an incident energy of 102 MeV. Nucl Instrum Methods Phys Res Sec A. 2017;842:62–70.
   Web of Science ®Google Scholar
• Weaver K, Anderson J, Barschall H, et al. Neutron spectra from deuteron bombardment of D, Li, Be, and C. Nucl Sci Eng. 1973;52:35–45.
   Web of Science ®Google Scholar
• Aoki T, Hagiwara M, Baba M, et al. Measurements of differential thick target neutron yields and 7Be production in the Li, 9Be(d, n) reactions for 25 MeV deuterons. J Nucl Sci Technol. 2004;41:399–405.
   Web of Science ®Google Scholar
• Meulders JP, Leleux P, Macq P, et al. Fast neutron yields and spectra from targets of varying atomic number bombarded with deuterons from 16 to 50 MeV (for radiobiology and radiotherapy). Phys Med Biol. 1975;20:235–243.
   PubMed Web of Science ®Google Scholar
• Hagiwara M, Itoga T, Baba M, et al. Experimental studies on the neutron emission spectrum and activation cross-section for 40 MeV deuterons in IFMIF accelerator structural elements. J Nucl Mater. 2004;329:218–222.
   Web of Science ®Google Scholar