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Filtering by: Advisor Radosevich, Steven R. Remove constraint Advisor: Radosevich, Steven R. Subject Gamma ray spectrometry Remove constraint Subject: Gamma ray spectrometry

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  • Special Nuclear Material Analysis Using Temporal Gamma-Ray Spectroscopy and Machine Learning Methods

    Creator:
    Curtis, Jessica R.
    Abstract:
    Following thermal neutron induced fission, supervised machine learning and temporal gamma-ray spectroscopy methods were used to identify differences in the delayed gamma-ray spectra of Pu-239 and U-235. The temporal gamma-ray spectroscopy method takes advantage of the time-dependent decay of fission products. Employing Spearman's rank-order correlation coefficient and without prior knowledge...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: Steven R. Reese Following thermal neutron induced fission, supervised machine learning and

  • Temporal gamma-ray spectrometry to quantify relative fissile material content

    Creator:
    Williford, Russell S.
    Abstract:
    A new method for delayed gamma-ray spectrometry to quantify the relative content of fissile material is developed and demonstrated to support international efforts in bolstering non-destructive assay capabilities. Previous traditional delayed gamma-ray spectrometry techniques rely upon nuclear data that often carry very high uncertainty. The new method removes the requirement...
    Resource Type:
    Dissertation
    Full Text:
    : Steven R. Reese A new method for delayed gamma-ray spectrometry to quantify the relative content