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Division Spotlight
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.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
Standards Program
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
Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
Geun-Sun Auh
Nuclear Science and Engineering | Volume 118 | Number 3 | November 1994 | Pages 186-193
Technical Paper | doi.org/10.13182/NSE94-A19384
Articles are hosted by Taylor and Francis Online.
Among the three digital dynamic compensation methods that are developed for or applied to the rhodium self-powered neutron detector—the dominant pole Tustin method of the core operating limit supervisory system, the direct inversion method, and the Kalman filter method—the best method is selected. The direct inversion method is slightly improved from the previous version, and the Kalman filter method is proposed. The simulation results show that the direct inversion method is better than the dominant pole Tustin method, but the best compensation results can be obtained from the Kalman filter method. The direct inversion method gives better results than the dominant pole Tustin method because it does not contain the assumption of a single pole and zero. The Kalman filter method is the best among the three methods because it uses the information of previous time steps throughout its estimation process.