A Monte Carlo Variance Reduction Approach for Non-Boltzmann Tallies-Reference-Cited by-同舟云学术

A Monte Carlo Variance Reduction Approach for Non-Boltzmann Tallies

Published:1994-02 Issue:2 Volume:116 Page:113-124
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Booth Thomas E.¹

Affiliation:

1. Los Alamos National Laboratory, P.O. Box 1663, X-6, MS B226 Los Alamos, New Mexico 87545

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.13182/NSE94-A21487

Reference4 articles.

1. “MCNP—A General Monte Carlo Code for Neutron and Photon Transport Version 3A,” LA-7396-M, Rev. 2, J. F. BRIESMEISTER, Ed. Los Alamos National Laboratory (Sep. 1986).

2. The use of importance sampling techniques to improve the efficiency of photon tracking in emission tomography simulations

3. T. E. BOOTH, “Monte Carlo Variance Reduction Approaches for Non-Boltzmann Tallies,” LA-12433, Los Alamos National Laboratory (Dec. 1992).

Cited by 16 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. Modeling gamma detectors in OpenMC: Validation of a newly implemented pulse-height tally;Progress in Nuclear Energy;2024-07

2. Variance Reduction Techniques for Monte Carlo Simulation of Coincidence Circuits;Bulletin of the Lebedev Physics Institute;2021-08

3. Population-based variance reduction for dynamic Monte Carlo;Annals of Nuclear Energy;2020-12

4. Adaptive multilevel splitting for Monte Carlo particle transport;EPJ Nuclear Sciences & Technologies;2017

5. Adaptive Multilevel Splitting for Monte Carlo particle transport;EPJ Web of Conferences;2017