Abstract
The proposed study focuses on the development of multivariate statistical analysis to interpret the comparative signatures of spent nuclear fuel. A database was built with Uranium and Plutonium isotopic compositions of spent nuclear fuel samples through simulation. These samples are in different reactor types, initial fuel enrichments and burn-ups. As a preliminary study, factor analysis is applied to the database to certify the feasibility of the possible origin-determination work. At first, dimension reduction and visualization work is realized to decide the possibility for classification. Then, some known samples are assumed to be unknown to further study the possible capabilities for quantitative attribution, containing the determination of initial fuel enrichment and burn-up.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
