Generation of Optimal Weight Values Based on the Recursive Monte Carlo Method for Use in Monte Carlo Deep Penetration Calculations
Author:
Affiliation:
1. Helmholtz-Zentrum Dresden-Rossendorf, Reactor Safety Division, Dresden, Germany
2. Technische Universität München, Department of Energy and Process Engineering, Munich, Germany
3. Technische Universität Dresden, Dresden, Germany
Funder
Bundesministerium für Bildung und Forschung
Publisher
Informa UK Limited
Subject
Nuclear Energy and Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00295639.2023.2211199
Reference16 articles.
1. D. B. PELOWITZ A. J. FALLGREN and G. E. MCMATH “MCNP6 User’s Manual Code Version 6.1.1beta ” LA-CP-14-00745 Los Alamos National Laboratory (2014).
2. X-5 MONTE CARLO TEAM “MCNP—A General N-Particle Transport Code Version 5 Volume I: Overview and Theory ” LA-UR-03-1987 Los Alamos National Laboratory (2003).
3. An Auto-Importance Sampling Method for Deep Penetration Problems
4. T. E. BOOTH “Sample Problem for Variance Reduction in MCNP ” LA-10363-MS Los Alamos National Laboratory (1985).
5. J. S. HENDRICKS and C. N. CULBERTSON “An Assessment of MCNP Weight Windows ” LA-UR-00-55 Los Alamos National Laboratory (2000).
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