| DOI | Trouver le DOI : https://doi.org/10.1007/s10967-018-5912-3 |
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| Auteur | Rechercher : El haddad, Josette1; Rechercher : Harhira, Aissa1; Rechercher : Blouin, Alain1; Rechercher : Sabsabi, Mohamad1; Rechercher : Jovanovic, Slobodan; Rechercher : Kell, Tara; Rechercher : El-jaby, Ali |
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| Affiliation du nom | - Conseil national de recherches du Canada. Énergie, les mines et l'environnement
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| Format | Texte, Article |
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| Sujet | uranium ore concentrate (UOC); nuclear forensics; provenance assessment; chemometrics; support vector machine; discrimination |
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| Résumé | This work describes a method for the discrimination of uranium ore concentrates (UOCs) to support provenance assessment for nuclear forensics applications using samples representing twenty producers from around the world. The concentrations were measured using inductively coupled plasma mass spectrometry. UOCs were classified using the support vector machine method relying on 61 down to only 18 element concentrations without affecting the accuracy. New features are calculated from combination of elements from the selected 18 elements, and added to the selected elements improve the classification results. Reducing the number leads to the optimization of laboratory measurements of element signatures in support of nuclear safeguards and forensics applications. |
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| Date de publication | 2018-05-19 |
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| Maison d’édition | Springer |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 23003591 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | db9bf660-ecb5-4ddb-91b1-f707244bf866 |
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| Enregistrement créé | 2018-07-20 |
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| Enregistrement modifié | 2020-03-16 |
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