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Research on Three-level Enrichment Method Based on 222Rn.
Health Phys
January 2023
School of Nuclear Science and Technology, University of South China, Hunan 421001, China.
Various low-concentration inert gases, including 222Rn, 133Xe, and 85Kr, pollute the atmosphere near nuclear facilities (e.g., nuclear power plants or reprocessing plants).
View Article and Find Full Text PDFCharacterisation of Xe-133 background at the IMS stations in the East Asian region: Insights based on known sources and atmospheric transport modelling.
J Environ Radioact
December 2022
International Data Centre, Comprehensive Nuclear-Test-Ban Treaty Organization, PO Box 1200, 1400, Vienna, Austria.
Radioxenon can be produced with a high fission yield during a nuclear explosion, making it an important tracer to demonstrate the nuclear origin of an explosion. For this reason, it is continuously monitored by the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) as part of the verification regime. Radioxenon is emitted by civil nuclear facilities, like nuclear power plants (NPPs) or isotope production facilities (IPFs), providing significant but variable contribution to the noble gas background.
View Article and Find Full Text PDFThird international challenge to model the medium- to long-range transport of radioxenon to four Comprehensive Nuclear-Test-Ban Treaty monitoring stations.
J Environ Radioact
December 2022
French Institute for Radiation Protection and Nuclear Safety (IRSN), Fontenay-aux-Roses, France.
In 2015 and 2016, atmospheric transport modeling challenges were conducted in the context of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) verification, however, with a more limited scope with respect to emission inventories, simulation period and number of relevant samples (i.e., those above the Minimum Detectable Concentration (MDC)) involved.
View Article and Find Full Text PDFRadiopharmaceuticals for PET and SPECT Imaging: A Literature Review over the Last Decade.
Int J Mol Sci
April 2022
Faculty of Physics, Babeş-Bolyai University, Str. M. Kogălniceanu 1, 400084 Cluj-Napoca, Romania.
Positron emission tomography (PET) uses radioactive tracers and enables the functional imaging of several metabolic processes, blood flow measurements, regional chemical composition, and/or chemical absorption. Depending on the targeted processes within the living organism, different tracers are used for various medical conditions, such as cancer, particular brain pathologies, cardiac events, and bone lesions, where the most commonly used tracers are radiolabeled with 18F (e.g.
View Article and Find Full Text PDFImproving the estimation accuracy of multi-nuclide source term estimation method for severe nuclear accidents using temporal convolutional network optimized by Bayesian optimization and hyperband.
J Environ Radioact
February 2022
Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, 211106, Nanjing, China; Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, 215021, Suzhou, China. Electronic address:
During a nuclear accident, estimating the source terms using environmental measurements is vital for emergency decision-making. In this study, we propose a forecasting model based on a temporal convolutional network to estimate the release rates of seven radionuclides (Kr-88, Te-132, I-131, Xe-133, Cs-137, Ba-140, and Ce-144) based on off-site sequential gamma dose rates and meteorological monitoring data. To determine the best structure of the neural network, Bayesian optimization and hyperband (BOHB) was used on the hyperparameters of the model to reduce the testing loss.
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