Fission chamber's neutron signal characterization using nonnegative matrix factorization

Arahmane, Hanan; Moursli, R. Cherkaoui El; Hamzaoui, El-Mehdi

doi:10.1109/atsip.2017.8075522

Cited by 6 publications

(1 citation statement)

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“…To apply the NMF and NTF algorithms to the recorded signals, we have used the NMFLab Toolbox (version 1.2) which is implemented under MATLAB ® 7.10 platform [17,24]. e selection of the most suitable algorithm is based on the computation of the PI [17,24,25]. Indeed, the lowest PI value re ects the e ciency of the algorithm to achieve…”

Section: Processing Approachmentioning

confidence: 99%

Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods

Arahmane

Hamzaoui

Moursli

2019

Journal of Spectroscopy

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In order to perform highly qualified neutron-gamma discrimination in mixed radiation field, we investigate the application of blind source separation methods based on nonnegative matrix and tensor factorization algorithms as new and robust neutron-gamma discrimination software-based approaches. These signal processing tools have allowed to recover original source components from real-world mixture signals which have been recorded at the output of the stilbene scintillation detector. The computation of the performance index of separability of each tested nonnegative algorithm has allowed to select Second-Order NMF algorithm and NTF-2 model as the most efficient techniques for discriminating neutrons and gammas. Furthermore, the neutron-gamma discrimination is highlighted through the computation of the cross-correlation function. The performance of the blind source separation methods has been quantified through the obtained results that prove a good neutron-gamma separation.

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Section: Processing Approachmentioning

confidence: 99%