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Title: Revisiting Statistical Aspects of Nuclear Material Accounting

Journal Article · · Science and Technology of Nuclear Installations
DOI:https://doi.org/10.1155/2013/961360· OSTI ID:1198502
 [1];  [1]
  1. Los Alamos National Laboratory, Statistical Sciences Group, NM 87545, USA

Nuclear material accounting (NMA) is the only safeguards system whose benefits are routinely quantified. Process monitoring (PM) is another safeguards system that is increasingly used, and one challenge is how to quantify its benefit. This paper considers PM in the role of enabling frequent NMA, which is referred to as near-real-time accounting (NRTA). We quantify NRTA benefits using period-driven and data-driven testing. Period-driven testing makes a decision to alarm or not at fixed periods. Data-driven testing decides as the data arrives whether to alarm or continue testing. The difference between period-driven and datad-riven viewpoints is illustrated by using one-year and two-year periods. For both one-year and two-year periods, period-driven NMA using once-per-year cumulative material unaccounted for (CUMUF) testing is compared to more frequent Shewhart and joint sequential cusum testing using either MUF or standardized, independently transformed MUF (SITMUF) data. We show that the data-driven viewpoint is appropriate for NRTA and that it can be used to compare safeguards effectiveness. In addition to providing period-driven and data-driven viewpoints, new features include assessing the impact of uncertainty in the estimated covariance matrix of the MUF sequence and the impact of both random and systematic measurement errors.

Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
NA-22
OSTI ID:
1198502
Journal Information:
Science and Technology of Nuclear Installations, Journal Name: Science and Technology of Nuclear Installations Vol. 2013; ISSN 1687-6075
Publisher:
Hindawi Publishing CorporationCopyright Statement
Country of Publication:
Egypt
Language:
English
Citation Metrics:
Cited by: 4 works
Citation information provided by
Web of Science

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