Comprehensive Uncertainty Quantification in Nuclear Safeguards
Joint Authors
Burr, Tom
Bonner, E.
Krieger, T.
Martin, K.
Norman, C.
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-12
Country of Publication
Egypt
No. of Pages
16
Abstract EN
Nuclear safeguards aim to confirm that nuclear materials and activities are used for peaceful purposes.
To ensure that States are honoring their safeguards obligations, quantitative conclusions regarding nuclear material inventories and transfers are needed.
Statistical analyses used to support these conclusions require uncertainty quantification (UQ), usually by estimating the relative standard deviation (RSD) in random and systematic errors associated with each measurement method.
This paper has two main components.
First, it reviews why UQ is needed in nuclear safeguards and examines recent efforts to improve both top-down (empirical) UQ and bottom-up (first-principles) UQ for calibration data.
Second, simulation is used to evaluate the impact of uncertainty in measurement error RSDs on estimated nuclear material loss detection probabilities in sequences of measured material balances.
American Psychological Association (APA)
Bonner, E.& Burr, Tom& Krieger, T.& Martin, K.& Norman, C.. 2017. Comprehensive Uncertainty Quantification in Nuclear Safeguards. Science and Technology of Nuclear Installations،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1203617
Modern Language Association (MLA)
Bonner, E.…[et al.]. Comprehensive Uncertainty Quantification in Nuclear Safeguards. Science and Technology of Nuclear Installations No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1203617
American Medical Association (AMA)
Bonner, E.& Burr, Tom& Krieger, T.& Martin, K.& Norman, C.. Comprehensive Uncertainty Quantification in Nuclear Safeguards. Science and Technology of Nuclear Installations. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1203617
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203617