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Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods
Joint Authors
Arahmane, Hanane
Hamzaoui, El-Mehdi
El Moursli, Rajaa Cherkaoui
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Arahmane, Hanane& Hamzaoui, El-Mehdi& El Moursli, Rajaa Cherkaoui. 2019. Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods. Journal of Spectroscopy،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1192142
Modern Language Association (MLA)
Arahmane, Hanane…[et al.]. Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods. Journal of Spectroscopy No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1192142
American Medical Association (AMA)
Arahmane, Hanane& Hamzaoui, El-Mehdi& El Moursli, Rajaa Cherkaoui. Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods. Journal of Spectroscopy. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1192142
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192142