Preliminary Generation of Windowed Multipole Covariance Data

\nA methodology for the generation of covariance data in the windowed multipole formalism for resolved resonance data was developed. Using this process, covariance matrices were created for oxygen-16, uranium-235, and uranium-238, such that sampled cross-sections would match a user-selected average standard deviation, set at 5% ± 0.5% for this work. Windowed multipole datasets were then sampled and used on a simple critical benchmark to demonstrate the use of WMP data in conjunction with the Total Monte Carlo method of uncertainty propagation.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-15
DOI
https://doi.org/10.1051/epjconf/202430207017/pdf
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
Field-Weighted Citation Impact
0.00

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article

Preliminary Generation of Windowed Multipole Covariance Data

Springer Link (Chiba Institute of Technology)
Scientific Measurement and Uncertainty Evaluation
article

Preliminary Generation of Windowed Multipole Covariance Data

article en

Abstract

\nA methodology for the generation of covariance data in the windowed multipole formalism for resolved resonance data was developed. Using this process, covariance matrices were created for oxygen-16, uranium-235, and uranium-238, such that sampled cross-sections would match a user-selected average standard deviation, set at 5% ± 0.5% for this work. Windowed multipole datasets were then sampled and used on a simple critical benchmark to demonstrate the use of WMP data in conjunction with the Total Monte Carlo method of uncertainty propagation.\n

Springer Link (Chiba Institute of Technology)
U.S. Department of Energy, Office of Nuclear Energy, Nuclear Energy University Program
Openalex Percentile: Top 70%
Scientific Measurement and Uncertainty Evaluation
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Preliminary Generation of Windowed Multipole Covariance Data · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS