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| Iterative Bayesian Monte Carlo for nuclear data evaluation | |
| 作者姓名： | Erwin Alhassan Dimitri Rochman Alexander Vasiliev Mathieu Hursin Arjan J.Koning Hakim Ferroukhi |
| 作者单位： | 1. Laboratory for Reactor Physics and Thermal-Hydraulics,Paul Scherrer Institute;2. Division Large Research Facilities (GFA), Paul Scherrer Institute;3. école Polytechnique Fédérale de Lausanne;5. Division of Applied Nuclear Physics, Department of Physics and Astronomy, Uppsala University |
| 摘 要： | In this work, we explore the use of an iterative Bayesian Monte Carlo（i BMC） method for nuclear data evaluation within a TALYS Evaluated Nuclear Data Library（TENDL） framework. The goal is to probe the model and parameter space of the TALYS code system to find the optimal model and parameter sets that reproduces selected experimental data. The method involves the simultaneous variation of many nuclear reaction models as well as their parameters included in the TALYS code. The’best’ model set with... |
Iterative Bayesian Monte Carlo for nuclear data evaluation |
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| Erwin Alhassan,Dimitri Rochman,Alexander Vasiliev,Mathieu Hursin,Arjan J.Koning,Hakim Ferroukhi.Iterative Bayesian Monte Carlo for nuclear data evaluation[J].Nuclear Science and Techniques,2022,33(4):103-133. | |
| Authors: | Alhassan Erwin Rochman Dimitri Vasiliev Alexander Hursin Mathieu Koning Arjan J Ferroukhi Hakim |
| Affiliation: | 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 ; |
| Abstract: | Nuclear Science and Techniques - In this work, we explore the use of an iterative Bayesian Monte Carlo (iBMC) method for nuclear data evaluation within a TALYS Evaluated Nuclear Data Library... |
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