Probabilistic radwaste characterization: Findings of a multi-method multi-mockup exercise using interpolation-based surrogate efficiencies-Reference-Cited by-同舟云学术

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Probabilistic radwaste characterization: Findings of a multi-method multi-mockup exercise using interpolation-based surrogate efficiencies

Published:2023-12 Issue: Volume:194 Page:110065
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Laloy Eric^ORCID,Rogiers Bart^ORCID,Bielen An,Borella Alessandro^ORCID,Kubiński Wojciech^ORCID,Carasco Cédric,Mathonat Christophe,Boden Sven

Funder

European Commission

H2020 Euratom

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference28 articles.

1. Poisson Approximation;Barbour,1992

2. A conceptual introduction to Hamiltonian Monte Carlo;Betancourt,2018

3. Bignan, G., Coulon, J.P., Guyard, J.C., 1998. Preparation of Standard Drums for the Calibration of Nuclear Waste Measuring Facilities. Final Report. CEA Note Technique NT-SSAE-LSMR 98/0016.

4. Boden, S., 2021. Open Geometry HRGS Measurements Performed Within the H2020 CHANCE Project: ISOCS & FRAM. I-1715 SCK CEN / CHANCE Report.

5. Neutron coincidence measurements and Monte Carlo modelling of waste drums containing reference nuclear material;Borella;EPJ Web Conf.,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of the evolution of the nuclear reactor core parameters using artificial neural network;Annals of Nuclear Energy;2025-02

2. First steps towards productionizing probabilistic radwaste characterization;Nuclear Engineering and Design;2024-08

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