| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8166891 | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 2018 | 12 Pages |
Abstract
The best results concerning successful discrimination of UOX and MOX-fuel were acquired when using non-linear classification techniques, such as the k nearest neighbors method and the Gaussian kernel support vector machine. For fuel with cooling times up to 20 years, when it is considered that gamma-rays from the isotope  134Cs can still be efficiently measured, success rates of 100% were obtained. A sensitivity analysis indicated that these methods were also robust.
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Authors
M. Ã
berg Lindell, P. Andersson, S. Grape, C. Hellesen, A. HÃ¥kansson, M. Thulin,