Source term development and radiological signature analysis for simulation in electrochemical reprocessing safeguards

Nathan Gilliam; Steven E. Skutnik; Jamie B. Coble; Amanda M. Bachmann; Michael P. Cooper; Jonathan T. Mitchell

Source term development and radiological signature analysis for simulation in electrochemical reprocessing safeguards

Nathan Gilliam, Steven E. Skutnik, Jamie B. Coble, Amanda M. Bachmann, Michael P. Cooper, Jonathan T. Mitchell

Research output: Contribution to journal › Conference article › peer-review

Abstract

The simulations developed in support of this work have shown that gamma and total neutron emissions can be applied as a safeguards measurement techniques in the SSPM EChem model within the selected fuel domain. Further analysis, specifically in (α, n) emissions, could lead to differentiating its contribution to total emissions as well as its contribution to the thermal energy region. Research is ongoing to quantify this contribution. The XRF curve-fitting algorithms were able to accurately approximate the spectrum simply as a sum of independent Gaussian functions (representing peaks), with background, within both the K-α and K-β regions of the spectrum. Based on these results, XRF could provide essential safeguards measurements for pyroprocessing, and if coupled with similarly accurate KED measurements, HKED may be an efficient materials accountancy tool for pyroprocessing applications.

Original language	English
Pages (from-to)	92-95
Number of pages	4
Journal	Transactions of the American Nuclear Society
Volume	119
State	Published - 2018
Externally published	Yes
Event	2018 Transactions of the American Nuclear Society, ANS 2018 - Orlando, United States Duration: Nov 11 2018 → Nov 15 2018

Funding

This work was supported by an Nuclear Energy University Programs (NEUP) grant sponsored by the U.S. Department of Energy, Office of Nuclear Energy, award number DE-NE0008553. The authors gratefully acknowledge the support and assistance of Benjamin Cipiti and Nathan Shoman of Sandia National Laboratories. This work was supported by an Nuclear Energy University Programs (NEUP) grant sponsored by the U.S. Department of Energy, Office of Nuclear Energy, award number DENE0008553. The authors gratefully acknowledge the support and assistance of Benjamin Cipiti and Nathan Shoman of Sandia National Laboratories.

Funders	Funder number
Nuclear Energy University Programs
U.S. Department of Energy
Office of Nuclear Energy
Nuclear Energy University Program	DENE0008553

Cite this

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title = "Source term development and radiological signature analysis for simulation in electrochemical reprocessing safeguards",

abstract = "The simulations developed in support of this work have shown that gamma and total neutron emissions can be applied as a safeguards measurement techniques in the SSPM EChem model within the selected fuel domain. Further analysis, specifically in (α, n) emissions, could lead to differentiating its contribution to total emissions as well as its contribution to the thermal energy region. Research is ongoing to quantify this contribution. The XRF curve-fitting algorithms were able to accurately approximate the spectrum simply as a sum of independent Gaussian functions (representing peaks), with background, within both the K-α and K-β regions of the spectrum. Based on these results, XRF could provide essential safeguards measurements for pyroprocessing, and if coupled with similarly accurate KED measurements, HKED may be an efficient materials accountancy tool for pyroprocessing applications.",

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AU - Gilliam, Nathan

AU - Skutnik, Steven E.

AU - Coble, Jamie B.

AU - Bachmann, Amanda M.

AU - Cooper, Michael P.

AU - Mitchell, Jonathan T.

PY - 2018

Y1 - 2018

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AB - The simulations developed in support of this work have shown that gamma and total neutron emissions can be applied as a safeguards measurement techniques in the SSPM EChem model within the selected fuel domain. Further analysis, specifically in (α, n) emissions, could lead to differentiating its contribution to total emissions as well as its contribution to the thermal energy region. Research is ongoing to quantify this contribution. The XRF curve-fitting algorithms were able to accurately approximate the spectrum simply as a sum of independent Gaussian functions (representing peaks), with background, within both the K-α and K-β regions of the spectrum. Based on these results, XRF could provide essential safeguards measurements for pyroprocessing, and if coupled with similarly accurate KED measurements, HKED may be an efficient materials accountancy tool for pyroprocessing applications.

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JF - Transactions of the American Nuclear Society

T2 - 2018 Transactions of the American Nuclear Society, ANS 2018

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Source term development and radiological signature analysis for simulation in electrochemical reprocessing safeguards

Abstract

Funding

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