A Bayesian framework to update scaling factors for radioactive waste characterization

Biagio Zaffora (1) , Séverine Demeyer (2) , Matteo Magistris (1) , Elvezio Ronchetti (3) , Gilbert Saporta (4) , Chris Theis (1)

1 CERN [Genève]
2 LNE - Laboratoire National de Métrologie et d'Essais [Trappes]
3 UNIGE - Université de Genève = University of Geneva
4 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage

Domains: Physics [physics]; Nuclear Experiment [nucl-ex]; Statistics [stat]

Biagio Zaffora, Séverine Demeyer, Matteo Magistris, Elvezio Ronchetti, Gilbert Saporta, et al.. A Bayesian framework to update scaling factors for radioactive waste characterization. Applied Radiation and Isotopes, 2020, pp.109092. ⟨10.1016/j.apradiso.2020.109092⟩. ⟨hal-02491880⟩