ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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Nuclear Technology
Fusion Science and Technology
Latest News
DOE issues final RFQ for WIPP clean energy initiative
The Department of Energy’s Office of Environmental Management has issued a request for qualifications for interested parties and prospective offerors looking to enter into a realty agreement for carbon-pollution-free electricity (CFE) projects at the department’s Waste Isolation Pilot Plant site in southeastern New Mexico.
D. Testa, H. Carfantan, R. Chavan, J. B. Lister, J-M. Moret, M. Toussaint
Fusion Science and Technology | Volume 57 | Number 3 | April 2010 | Pages 238-273
Technical Paper | doi.org/10.13182/FST10-A9469
Articles are hosted by Taylor and Francis Online.
The measurement performance of the baseline system design for the ITER high-frequency magnetic diagnostic system and attempts at its optimization have been performed using an innovative method based on the sparse representation of signals and the minimization of the maxima of the spectral window for integer mode numbers. This analysis has led to the conclusion that 350 to 500 sensors are in fact needed to satisfy the ITER requirements for the measurement performance and the risk management over the machine lifetime, instead of the originally foreseen approximately 170 sensors. In the companion paper we have presented the general summary results of our work; here we present a more complete overview of the analysis method and further details of our test calculations.