An adaptive variance reduction algorithm based on RMC code for solving deep penetration problems-Reference-Cited by-同舟云学术

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An adaptive variance reduction algorithm based on RMC code for solving deep penetration problems

Published:2019-06 Issue: Volume:128 Page:171-180
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Pan Qingquan,Wang Kan

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference17 articles.

1. Importance Estimation In Forward Monte Carlo Calculations;Booth,1984

2. Particle – Transport Simulation with the Monte Carlo Method;Carter,1975

3. Principles of Radiation Shielding;Chilton,1984

4. Comparison of global variance reduction techniques for monte carlo radiation transport simulations of ITER;Davis;Fusion Eng. Design,2011

5. Research On Shielding Calculation And Variance Reduction Based On RMC Code;Fan,2016

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1. Estimation of weight window parameters based on recursive Monte Carlo approach for reactor shielding problems;Annals of Nuclear Energy;2024-03

2. Pointing probability Driven semi-analytic Monte Carlo Method (PDMC) – Part I: Global variance reduction for large-scale radiation transport analysis;Computer Physics Communications;2023-10

3. Research on the source-detector variance reduction method based on the AIS adjoint Monte Carlo method;Annals of Nuclear Energy;2023-10

4. Density-extrapolation Global Variance Reduction (DeGVR) method for large-scale radiation field calculation;Computers & Mathematics with Applications;2023-08

5. The technology of shielding design for nuclear reactor: A review;Progress in Nuclear Energy;2023-07

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