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Title: Uncertainty Quantification for Quantitative Imaging Holdup Measurements

In nuclear fuel cycle safeguards, special nuclear material "held up" in pipes, ducts, and glove boxes causes significant uncertainty in material-unaccounted-for estimates. Quantitative imaging is a proposed non-destructive assay technique with potential to estimate the holdup mass more accurately and reliably than current techniques. However, uncertainty analysis for quantitative imaging remains a significant challenge. In this work we demonstrate an analysis approach for data acquired with a fast-neutron coded aperture imager. The work includes a calibrated forward model of the imager. Cross-validation indicates that the forward model predicts the imager data typically within 23%; further improvements are forthcoming. A new algorithm based on the chi-squared goodness-of-fit metric then uses the forward model to calculate a holdup confidence interval. The new algorithm removes geometry approximations that previous methods require, making it a more reliable uncertainty estimator.
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  1. ORNL
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Conference: INMM, Atlanta, GA, USA, 20160724, 20160728
Research Org:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
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Country of Publication:
United States
inverse radiation transport; uncertainty quantification; holdup measurement; international safeguards; nuclear nonproliferation