Date of Award
3-2021
Document Type
Thesis
Degree Name
Master of Science in Nuclear Engineering
Department
Department of Engineering Physics
First Advisor
Abigail Bickley, PhD
Abstract
There is a need to quickly and accurately determine the likely physical origins of a collected sample for nuclear treaty verification purposes. The objective of this research is to prove there is a means to relate different samples (Q-values) to one another using a 'same versus not-same' artificial neural network called a Siamese network. This would provide the capability of comparing an unknown sample to a database of samples with known physical origins. Using moment transformations on current data has shown to increase the prediction capabilities of a Siamese network, and using a triplet loss function in connection with the Siamese network can further increase these capabilities
AFIT Designator
AFIT-ENP-MS-21-M-135
DTIC Accession Number
AD1145746
Recommended Citation
Seik, Jason G., "Application of Artificial Neural Networks to Elemental Assay Data for Nuclear Forensics Analysis" (2021). Theses and Dissertations. 5023.
https://scholar.afit.edu/etd/5023