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Statistical sampling applied to the radiological characterization of historical waste / Zaffora, Biagio (CERN) ; Magistris, Matteo (CERN) ; Saporta, Gilbert (CNAM, Paris) ; La Torre, Francesco Paolo (CERN)
The evaluation of the activity of radionuclides in radioactive waste is required for its disposal in final repositories. Easy-to-measure nuclides, like γ-emitters and high-energy X-rays, can be measured via non-destructive nuclear techniques from outside a waste package. [...]
2016 - 11 p. - Published in : EPJ Nuclear Sci. Technol. 2 (2016) 34 Fulltext: PDF;

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A Bayesian framework to update scaling factors for radioactive waste characterization / Zaffora, Biagio (CERN) ; Demeyer, Severine (Unlisted, FR) ; Magistris, Matteo (CERN) ; Ronchetti, Elvezio (Geneva U.) ; Saporta, Gilbert (CNAM, Paris) ; Theis, Chris (CERN)
Nuclear power plants and research facilities commonly employ the so-called scaling factor (SF) method to quantify the activity of difficult-to-measure (DTM) radionuclides within their radioactive waste packages. The method relies on the establishment of a relationship between an easy-to-measure (ETM) radionuclide, called key nuclide (KN), and difficult-to-measure radionuclides, after the collection of a representative sample from the waste population. [...]
2020 - Published in : Appl. Radiat. Isot. 159 (2020) 109092

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A new approach to characterize very-low-level radioactive waste produced at hadron accelerators / Zaffora, Biagio (CERN) ; Magistris, Matteo (CERN) ; Chevalier, Jean-Pierre (CNAM, Paris) ; Luccioni, Catherine (CNAM, Paris) ; Saporta, Gilbert (CNAM, Paris) ; Ulrici, Luisa (CERN)
Radioactive waste is produced as a consequence of preventive and corrective maintenance during the operation of high-energy particle accelerators or associated dismantling campaigns. Their radiological characterization must be performed to ensure an appropriate disposal in the disposal facilities. [...]
2017 - 7 p. - Published in : Appl. Radiat. Isot. 122 (2017) 141-147

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Veja também: nomes de autores similares
1	Saporta, G
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