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DOE OSTI · 1764473

Progress on Associate-Particle Imaging Algorithms, 2020

Hausladen, Paul A.·Blackston, Matthew A.·Mattingly, John K.·Gregor, Jens·Gilbert, Andrew J.
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Abstract

The present work describes progress on the development of imaging algorithms that use fast neutron signatures acquired using the associated-particle imaging (API) method. The present work complements ongoing work to develop neutron source and detector hardware to enable field inspection by investigating algorithms that are capable of discriminating between critical materials or extracting three-dimensional geometrical information from single-sided or transmission measurements. The present work is divided into three approaches:(1)Iterative reconstruction of inelastic gamma-ray emissions to perform three-dimensional time-of-flight imaging in a single view in either transmission or backscatter configurations. Iterative reconstruction enables image resolution better than the inherent TOF resolution.(2)Decomposition of registered neutron and x ray radiographs into an assumed material list for each pixel in the image.(3)Material identification using full spectral analysis that includes the emergent neutron and gamma ray energies, times, and angles.Progress for each approach is summarized for fiscal year 2020.

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97 MATHEMATICS AND COMPUTING

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Hausladen, Paul A., Blackston, Matthew A., Mattingly, John K., Gregor, Jens, Gilbert, Andrew J.. 2020-11-01. Progress on Associate-Particle Imaging Algorithms, 2020. https://doi.org/10.2172/1764473

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