Development of new variance reduction methods based on weight window technique in RMC code-Reference-Cited by-同舟云学术

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Development of new variance reduction methods based on weight window technique in RMC code

Published:2016-07 Issue: Volume:90 Page:197-203
ISSN:0149-1970
Container-title:Progress in Nuclear Energy
language:en
Short-container-title:Progress in Nuclear Energy

Author:

Fan Xiao,Zhang Guohui,Wang Kan

Funder

CAEP

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference8 articles.

1. Importance estimation in forward Monte Carlo calculation;Booth;Nucl. Tech. Fusion,1984

2. MCNP Variance Reduction Examples;Booth,2004

3. Particle transport simulation with the Monte Carlo method;Carter;ERDA Crit. Rev. Ser.,1975

4. Variance Reduction Techniques for Monte Carlo Simulation;Osnes,1997

5. Variance reduction of Monte Carlo simulation in nuclear engineering field;Saidi;InTech,2013

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A newly developed and verified transport capacity of Monte Carlo photon particles in RMC;Computer Physics Communications;2024-01

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

3. Development and application of variance reduction technique based on response matrix method in the cosRMC code;Annals of Nuclear Energy;2023-06

4. Global variance reduction method based on multi-group Monte Carlo adjoint calculation;Annals of Nuclear Energy;2021-02

5. Improved adaptive variance reduction algorithm based on RMC code for deep penetration problems;Annals of Nuclear Energy;2020-03

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