Real Variance Estimation in Monte Carlo Criticality Calculation Accelerated by p-CMFD Feedback Using Spectral Analysis Method-Reference-Cited by-同舟云学术

Real Variance Estimation in Monte Carlo Criticality Calculation Accelerated by p-CMFD Feedback Using Spectral Analysis Method

Published:2020-01-03 Issue:4 Volume:194 Page:297-307
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Kim HyeonTae¹,Jo YuGwon²,Kim Yonghee¹

Affiliation:

1. Korea Advanced Institute of Science and Technology, Department of Nuclear & Quantum Engineering, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea

2. Korea Hydro and Nuclear Power Company, Ltd., Central Research Institute, Korea Core and Fuel Analysis Group, 70 Yuseong-daero 1312 Beon-gil, Yuseong-gu, Daejeon 34101, Korea

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295639.2019.1698240

Reference20 articles.

1. J. LIEBEROTH, “A Monte Carlo Technique to Solve the Static Eigenvalue Problem of the Boltzmann Transport Equation,” Nukleonik, 11, 213 (1968).

2. Error Estimations and Their Biases in Monte Carlo Eigenvalue Calculations

3. Autocorrelation and Dominance Ratio in Monte Carlo Criticality Calculations

4. Underestimation of statistical uncertainty of local tallies in Monte Carlo eigenvalue calculation for simple and LWR lattice geometries

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