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Division Spotlight
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
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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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Fusion Science and Technology
Latest News
Taking shape: Fusion energy ecosystems built with public-private partnerships
It’s possible to describe fusion in simple terms: heat and squeeze small atoms to get abundant clean energy. But there’s nothing simple about getting fusion ready for the grid.
Private developers, national lab and university researchers, suppliers, and end users working toward that goal are developing a range of complex technologies to reach fusion temperatures and pressures, confounded by science and technology gaps linked to plasma behavior; materials, diagnostics, and electronics for extreme environments; fuel cycle sustainability; and economics.
G. Noguere, P. Archier, C. De Saint Jean, B. Habert
Nuclear Science and Engineering | Volume 172 | Number 2 | October 2012 | Pages 164-179
Technical Paper | doi.org/10.13182/NSE11-72
Articles are hosted by Taylor and Francis Online.
This paper presents simple models developed to generate covariances between observable and latent variables. The methodology consists of using “variance penalty” terms as a measure of the contribution of the latent-variable uncertainties to the variance of a given calculated quantity z. This approach provides a useful understanding of how the observable and latent variables are related to each other and ensures the positive-definiteness of the covariance matrix. This work has been implemented in the nuclear data assimilation tool CONRAD. Performances of analytic and Monte Carlo models are illustrated with covariances calculated for neutron-induced capture reactions on stable xenon isotopes (124Xe, 126Xe, 128Xe, 129Xe, 130Xe, 132Xe, and 134Xe).