Bayesian inference of 1D activity profiles from segmented gamma scanning of a heterogeneous radioactive waste drum-Reference-Cited by-同舟云学术

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

Published:2021-09 Issue: Volume:175 Page:109803
ISSN:0969-8043
Container-title:Applied Radiation and Isotopes
language:en
Short-container-title:Applied Radiation and Isotopes

Author:

Laloy Eric^ORCID,Rogiers Bart^ORCID,Bielen An,Boden Sven

Funder

European Commission

H2020

Publisher

Elsevier BV

Subject

Radiation

Reference32 articles.

1. Tensorflow: Large-scale machine learning on heterogeneous distributed systems;Abadi,2016

2. An improved method for the non-destructive characterization of radioactive waste by gamma scanning;Bai;Appl. Radiat. Isot.,2009

3. Poisson Approximation;Barbour,1992

4. A conceptual introduction to hamiltonian Monte Carlo;Betancourt,2018

5. Synopsis of gamma scanning systems - comparison of gamma determining systems and measuring procedures for radioactive waste packages;Buecherl,1998

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3. An efficiency calibration method of segmented gamma scanning in reconstructing radioactive waste drum activity;Journal of the Korean Physical Society;2024-01-23

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