Statistical error model-based and GUM-based analysis of measurement uncertainties in nuclear safeguards – a reconciliation

  • Oscar Alique
  • , Yetunde Aregbe
  • , Raffaele Bencardino
  • , Robert Binner
  • , Thomas Burr
  • , Jeff A. Chapman
  • , Stephen Croft
  • , Andy Fellerman
  • , Thomas Krieger
  • , Klaus Martin
  • , Peter Mason
  • , Claude Norman
  • , Thomas Prohaska
  • , Divyesh Trivedi
  • , Steve Walsh
  • , Dariusz Wegrzynek
  • , Ben Wright
  • , Jan Wüster

Research output: Contribution to journalArticleResearchpeer-review

Abstract

At the occasion of the Consultants Group Meeting held to review the “International Target Values 2010 for Measurement Uncertainties in Safeguarding Nuclear Material” [3], discussions between experts highlighted the need to improve communication between different safeguards measurement communities, e.g. laboratory analysts, non-destructive assay specialists, safeguards data evaluators, and to reconcile their approaches to estimating measurement uncertainties. The purpose of this paper is to contr ibute to reaching a common understanding of the terminology and methodologies used by different professional groups in the field of uncertainty quantification.
Original languageEnglish
Pages (from-to)10-29
Number of pages20
JournalESARDA Bulletin
Volume64.2022
Issue number1
DOIs
Publication statusPublished - 1 Jun 2022

Bibliographical note

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Keywords

  • GUM
  • measurement
  • nuclear safeguards
  • Statistical error model
  • terminology
  • un-certainty

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