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Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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Fusion Science and Technology
Latest News
Arizona utilities trio looks to add nuclear power
The top three utilities in Arizona are teaming up to explore opportunities to add nuclear generation facilities in the state.
Arizona Public Service (APS), Salt River Project (SRP), and Tucson Electric Power (TEP) announced in a February 5 news release that they are working together to assess possible sites, including retiring coal plants. The group is looking at possibilities for both small modular reactors—units generating 300 MW or less—and potential large reactor projects, which could generate nearly five times the power.
M. Salewski, M. Nocente, A. S. Jacobsen, F. Binda, C. Cazzaniga, J. Eriksson, B. Geiger, G. Gorini, C. Hellesen, V. G. Kiptily, T. Koskela, S. B. Korsholm, T. Kurki-Suonio, F. Leipold, D. Moseev, S. K. Nielsen, J. Rasmussen, P. A. Schneider, S. E. Sharapov, M. Stejner, M. Tardocchi, JET Contributors, ASDEX Upgrade Team, EUROfusion MST1 Team
Fusion Science and Technology | Volume 74 | Number 1 | July-August 2018 | Pages 23-36
Technical Paper | doi.org/10.1080/15361055.2017.1380482
Articles are hosted by Taylor and Francis Online.
Bayesian integrated data analysis combines measurements from different diagnostics to jointly measure plasma parameters of interest such as temperatures, densities, and drift velocities. Integrated data analysis of fast-ion measurements has long been hampered by the complexity of the strongly non-Maxwellian fast-ion distribution functions. This has recently been overcome by velocity-space tomography. In this method two-dimensional images of the velocity distribution functions consisting of a few hundreds or thousands of pixels are reconstructed using the available fast-ion measurements. Here we present an overview and current status of this emerging technique at the ASDEX Upgrade tokamak and the JET toamak based on fast-ion D-alpha spectroscopy, collective Thomson scattering, gamma-ray and neutron emission spectrometry, and neutral particle analyzers. We discuss Tikhonov regularization within the Bayesian framework. The implementation for different types of diagnostics as well as the uncertainties are discussed, and we highlight the importance of integrated data analysis of all available detectors.