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Uncertainty quantification in application of the enrichment meter principle for nondestructive assay of special nuclear material

Journal Article · · Journal of Sensors
DOI:https://doi.org/10.1155/2015/267462· OSTI ID:1222059
 [1];  [2];  [3]
  1. International Atomic Energy Agency, Vienna (Austria)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

The various methods of nondestructive assay (NDA) of special nuclear material (SNM) have applications in nuclear nonproliferation, including detection and identification of illicit SNM at border crossings, and quantifying SNM at nuclear facilities for safeguards. No assay method is complete without “error bars,” which provide one way of expressing confidence in the assay result. Consequently, NDA specialists typically quantify total uncertainty in terms of “random” and “systematic” components, and then specify error bars for the total mass estimate in multiple items. Uncertainty quantification (UQ) for NDA has always been important, but it is recognized that greater rigor is needed and achievable using modern statistical methods. To this end, we describe the extent to which the guideline for expressing uncertainty in measurements (GUM) can be used for NDA. Also, we propose improvements over GUM for NDA by illustrating UQ challenges that it does not address, including calibration with errors in predictors, model error, and item-specific biases. A case study is presented using low-resolution NaI spectra and applying the enrichment meter principle to estimate the U-235 mass in an item. The case study illustrates how to update the current American Society for Testing and Materials guide for application of the enrichment meter principle using gamma spectra from a NaI detector.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1222059
Alternate ID(s):
OSTI ID: 1348309
Report Number(s):
PNNL-SA--109874; NN2001000
Journal Information:
Journal of Sensors, Journal Name: Journal of Sensors Journal Issue: 4 Vol. 2015; ISSN 1687-725X
Publisher:
HindawiCopyright Statement
Country of Publication:
United States
Language:
English

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