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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
2022 ANS Annual Meeting
June 12–16, 2022
Anaheim, CA|Anaheim Hilton
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Nuclear Science and Engineering
Fusion Science and Technology
The Atlantic: Build what we’ve already invented
“What if I told you that scientists had figured out a way to produce affordable electricity that was 99 percent safer and cleaner than coal or oil, and that this breakthrough produced even fewer emissions per gigawatt-hour than solar or wind?” That’s the question that Derek Thompson, a staff writer at The Atlantic, asks in his article, "The Forgotten Stage of Human Progress," before revealing, “The breakthrough I’m talking about is 70 years old: It’s nuclear power.”
V. Loffelmann, J. Mlynar, M. Imrisek, D. Mazon, A. Jardin, V. Weinzettl, M. Hron
Fusion Science and Technology | Volume 69 | Number 2 | April 2016 | Pages 505-513
Technical Paper | dx.doi.org/10.13182/FST15-180
Articles are hosted by Taylor and Francis Online.
Tomography inversion has been used routinely for processing outputs of plasma radiation diagnostics. Various tomographic algorithms have been developed, with those based on Tikhonov regularization being among the fastest while still providing reliable results. This paper presents a further speed optimization of the minimum Fisher Tikhonov regularization algorithm based on reducing iteration cycles used during the calculation. Ten to twentyfold speed gain is achieved compared to the original implementation. Robustness of the new method is demonstrated using both artificially generated data sets and real data from the soft X-ray diagnostics at the COMPASS tokamak. The advantage gained by the optimization is investigated in particular with respect to the possibility of real-time control of the plasma position; the option of impurity control is also discussed.