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• W3043936812 abstract "This paper presents the investigation carried out by CEA List and ArcelorMittal R&D in order to assess the potential of linac-based neutron activation analysis to detect and quantify copper in scrap metal. Performances are evaluated using MCNP6 and then validated experimentally using a 6 MeV linac coupled with heavy water. It is shown that (γ, n) reaction cross-sections for deuterium are likely to be undervalued in ENDF/B-VII and suggested that photoneutron production algorithms in Monte Carlo codes should be reexamined." @default.
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• W3043936812 date "2020-12-01" @default.
• W3043936812 modified "2023-10-15" @default.
• W3043936812 title "Detection and quantification of copper in scrap metal by linac-based neutron activation analysis" @default.
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• W3043936812 doi "https://doi.org/10.1016/j.apradiso.2020.109339" @default.
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