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You searched for +publisher:"Georgia Tech" +contributor:("Pope, Chad"). One record found.

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1. Paul, Jessica Nicole. A rapid, reliable methodology for radionuclide characterization of wet or dry stored used nuclear fuel via the application of algorithm-enhanced scintillator survey spectra.

Degree: PhD, Mechanical Engineering, 2015, Georgia Tech

The growing concern regarding regulation and accountability of plutonium and SNM produced in commercial and research nuclear reactor fuel has driven the need for new spent nuclear fuel characterization methods to enable quantification and qualification of radioisotopes contained in used fuel in a reliable, quick, and inexpensive manner, with little to no impact on normal reactor operating procedures. This research aims to meet these objectives by employing advanced computational radiation transport methods incorporated into an algorithm to post process scintillator detector data gathered from used nuclear fuel in a spent fuel pool or in air. An existing, novel post processing algorithm, SmartID, has been updated to extract and identify unique photopeaks represented in the underwater environment for pool cooled used fuel. The resulting spectral data will be post-processed using an updated SmartID algorithm folded with deterministic adjoint results to render both qualitative and quantitative fuel content and irradiation estimates. This work has much significance to the nuclear power industry, safeguards, and forensics communities, since it yields this information at room temperature for a relatively low cost. Advisors/Committee Members: Deo, Chaitanya S. (advisor), Rahnema, Farzad (committee member), Yi, Ce (committee member), Pope, Chad (committee member), Sjoden, Glenn E. (committee member).

Subjects/Keywords: SmartID; Adjoint; Transport; NaI; Detector response

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Paul, J. N. (2015). A rapid, reliable methodology for radionuclide characterization of wet or dry stored used nuclear fuel via the application of algorithm-enhanced scintillator survey spectra. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53833

Chicago Manual of Style (16th Edition):

Paul, Jessica Nicole. “A rapid, reliable methodology for radionuclide characterization of wet or dry stored used nuclear fuel via the application of algorithm-enhanced scintillator survey spectra.” 2015. Doctoral Dissertation, Georgia Tech. Accessed March 25, 2019. http://hdl.handle.net/1853/53833.

MLA Handbook (7th Edition):

Paul, Jessica Nicole. “A rapid, reliable methodology for radionuclide characterization of wet or dry stored used nuclear fuel via the application of algorithm-enhanced scintillator survey spectra.” 2015. Web. 25 Mar 2019.

Vancouver:

Paul JN. A rapid, reliable methodology for radionuclide characterization of wet or dry stored used nuclear fuel via the application of algorithm-enhanced scintillator survey spectra. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1853/53833.

Council of Science Editors:

Paul JN. A rapid, reliable methodology for radionuclide characterization of wet or dry stored used nuclear fuel via the application of algorithm-enhanced scintillator survey spectra. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53833

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