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Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Norway’s Halden reactor takes first step toward decommissioning
The government of Norway has granted the transfer of the Halden research reactor from the Institute for Energy Technology (IFE) to the state agency Norwegian Nuclear Decommissioning (NND). The 25-MWt Halden boiling water reactor operated from 1958 to 2018 and was used in the research of nuclear fuel, reactor internals, plant procedures and monitoring, and human factors.
Korbinian Moser, Alexander Bock, Pierre David, Matthias Bernert, Rainer Fischer, ASDEX Upgrade Team
Fusion Science and Technology | Volume 78 | Number 8 | November 2022 | Pages 607-616
Technical Paper | doi.org/10.1080/15361055.2022.2072659
Articles are hosted by Taylor and Francis Online.
This paper explores the application of Gaussian process tomography (GPT) to the bolometer diagnostic at ASDEX Upgrade. Previous work is extended by nonstationary Cartesian kernels and kernels that incorporate magnetic equilibrium information. With the help of existing tomograms from actual shots, a set of hyperparameters working well on a broad range of bolometer measurements is found. While other tomography methods usually rely on additional information like the magnetic equilibrium, those are not required by the GPT method, and it is shown that the method presented here can produce good results without additional information. In addition, the real-time capability of this approach is successfully demonstrated by computing tomograms for 10s of bolometer data in under 5s. This is possible without providing additional information besides bolometer measurements and enables the possibility of real-time reactor control for the future.