Analysis of Population Control Techniques for Time-Dependent and Eigenvalue Monte Carlo Neutron Transport Calculations-Reference-Cited by-同舟云学术

Analysis of Population Control Techniques for Time-Dependent and Eigenvalue Monte Carlo Neutron Transport Calculations

Published:2022-09-19 Issue:11 Volume:196 Page:1280-1305
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Variansyah Ilham¹^ORCID,McClarren Ryan G.¹^ORCID

Affiliation:

1. University of Notre Dame, Department of Aerospace and Mechanical Engineering, Notre Dame, Indiana 46556

Funder

Department of Energy

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295639.2022.2091906

Reference32 articles.

1. D. E. CULLEN, “An Overview of a Coupled Neutron Photon 3-D, Combinatorial Geometry Time Dependent Monte Carlo Transport Code,” Technical Report LLNL-SM-704560, Lawrence Livermore National Laboratory (2016).

2. Dynamic Monte Carlo Method for Nuclear Reactor Kinetics Calculations

3. A Particle Population Control Method for Dynamic Monte Carlo

4. G4-STORK: A Monte Carlo Reactor Kinetics Simulation Code

Cited by 8 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. Sensitivity and perturbation analysis of alpha-eigenvalue with time-dependent Monte Carlo perturbation techniques;Annals of Nuclear Energy;2024-12

2. Monte Carlo solution of the reflected systems’ criticality problems with Anlı–Güngör, Inönü and tetra-anisotropic kernels for both fission and scattered neutrons;Pramana;2024-07-04

3. The Monte Carlo Computational Summit – October 25 & 26, 2023 – Notre Dame, Indiana, USA;Journal of Computational and Theoretical Transport;2024-06-06

4. Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development;Journal of Open Source Software;2024-04-09

5. The Effect of Branchless Collisions and Population Control on Correlations in Monte Carlo Power Iteration;Nuclear Science and Engineering;2024-02-28