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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.
Meeting Spotlight
Materials in Nuclear Energy Systems (MiNES 2023)
December 10–14, 2023
New Orleans, LA|New Orleans Marriott
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 Science and Engineering
December 2023
Nuclear Technology
Fusion Science and Technology
November 2023
Latest News
Obstacles to new nuclear in Sweden cleared
Aerial view of Sweden’s parliament building, Riksdagshuset, in Stockholm. (Photo: Arild Vågen/Wikipedia)
Sweden’s parliament, the Riksdag, has approved legislative amendments from Prime Minister Ulf Kristersson’s government that will remove the country’s prohibition on new reactor construction at sites other than Sweden’s three current nuclear plants—Forsmark, Ringhals, and Oskarshamn—and do away with the limitation on the number of simultaneously operating reactors, currently capped at 10.
The amendments enter force on January 1.
“The Riksdag shares the government’s assessment that fossil-free electricity from nuclear power will also continue to play a role of central importance in the Swedish energy mix,” the legislative body said in a statement following the November 29 vote. “The main reasons for this are an expected greater demand for electricity in combination with the fact that fossil fuels have to be phased out, particularly for climate reasons. Nuclear power also contributes to the stable and predictable functioning of the Swedish power system.”
Keisuke Fujii, Ichihiro Yamada, Masahiro Hasuo
Fusion Science and Technology | Volume 74 | Number 1 | July-August 2018 | Pages 57-64
Technical Paper | doi.org/10.1080/15361055.2017.1396179
Articles are hosted by Taylor and Francis Online.
Manual uncertainty propagation from possible noise sources has often been adopted for data analysis in many fields of science, including the analysis of Thomson scattering measurement data in fusion plasma science. However, it is not possible to perfectly model all the noise sources and their distributions. In this work, we propose a more data-driven approach for the noise modeling of multichannel measurement systems. We directly modeled the noise distribution by tractable density distributions parameterized with neural networks and trained their weights from a vast amount of measurement data. We demonstrated an application of this method in Thomson scattering measurement data for the Large Helical Device project. This method enabled us to make a realistic inference even without sufficient prior knowledge about the noise.
