1.Laboratory for Reactor Physics and Thermal-Hydraulics, Paul Scherrer Institute, 5232 Villigen, Switzerland
2.Division Large Research Facilities (GFA), Paul Scherrer Institute, Villigen, Switzerland
3.École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
4.Nuclear Data Section, International Atomic Energy Commission (IAEA), Vienna, Austria
5.Division of Applied Nuclear Physics, Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden
erwin.alhassan@sckcen.be
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dimitri-alexandre.rochman@psi.ch
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纸质出版日期:2022-04,
网络出版日期:2022-05-01,
收稿日期:2021-12-03,
修回日期:2022-02-21,
录用日期:2022-03-12
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引用本文
Iterative Bayesian Monte Carlo for nuclear data evaluation[J]. 核技术(英文版), 2022, 33(4):50
Erwin Alhassan, Dimitri Rochman, Alexander Vasiliev, et al. Iterative Bayesian Monte Carlo for nuclear data evaluation[J]. Nuclear Science and Techniques, 2022, 33(4):50
Iterative Bayesian Monte Carlo for nuclear data evaluation[J]. 核技术(英文版), 2022, 33(4):50 DOI: 10.1007/s41365-022-01034-w.
Erwin Alhassan, Dimitri Rochman, Alexander Vasiliev, et al. Iterative Bayesian Monte Carlo for nuclear data evaluation[J]. Nuclear Science and Techniques, 2022, 33(4):50 DOI: 10.1007/s41365-022-01034-w.
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