Bayesian inference of 1D activity profiles from segmented gamma scanning of a heterogeneous radioactive waste drum.

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作者： Eric,Laloy ^[1] ; Bart,Rogiers ^[2] ; An,Bielen ^[3] ; Sven,Boden ^[4]

作者单位： Waste and Disposal, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK CEN), Belgium. Electronic address: eric.laloy@sckcen.be. ^[1] Waste and Disposal, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK CEN), Belgium. Electronic address: bart.rogiers@sckcen.be. ^[2] Dismantling, Decontamination and Waste, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK CEN), Belgium. Electronic address: an.bielen@sckcen.be. ^[3] Dismantling, Decontamination and Waste, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK CEN), Belgium. Electronic address: sven.boden@sckcen.be. ^[4]

关键词 Markov chain Monte Carlo (MCMC)Segmented gamma scanning (SGS)Source distribution uncertainty Spatially-distributed inference Uncertainty quantification

DOI 10.1016/j.apradiso.2021.109803

PMID 34118589

发布时间 2021-06-21

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Applied radiation and isotopes

2021年175卷

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Bayesian inference of 1D activity profiles from segmented gamma scanning of a heterogeneous radioactive waste drum.

Applied radiation and isotopes

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Bayesian inference of 1D activity profiles from segmented gamma scanning of a heterogeneous radioactive waste drum.

Applied radiation and isotopes

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Applied radiation and isotopes

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