ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
Second round of Launch Pad selections includes eight newcomers
The National Reactor Innovation Center at Idaho National Laboratory has announced 13 project selections across 12 companies for the Nuclear Energy Launch Pad, a Department of Energy–led program that integrates reactor and fuel facility authorization, testing, and deployment support for private nuclear developers.
The Launch Pad emerged from the Reactor Pilot Program and Fuel Line Pilot Program.
According to INL, projects selected include reactor development and nuclear fuel cycle advancements, including fabrication, enrichment, and conversion technologies.
A. Langenberg, J. Svensson, H. Thomsen, O. Marchuk, N. A. Pablant, R. Burhenn, R. C. Wolf
Fusion Science and Technology | Volume 69 | Number 2 | April 2016 | Pages 560-567
Technical Paper | doi.org/10.13182/FST15-181
Articles are hosted by Taylor and Francis Online.
Two X-ray imaging crystal spectrometer systems are currently being prepared for commissioning at the stellarator Wendelstein 7-X (W7-X). Both are expected to be ready for the first plasma operation in 2015. The spectrometers will provide line-integrated measurements of basic plasma parameters like ion and electron temperatures (Te,Ti), plasma rotation (vrot), and argon impurity densities. A forward model based on the designed installation geometries of both spectrometers has been performed using the Minerva Bayesian analysis framework. This model allows us to create synthesized data given radial profiles of plasma parameters for a wide range of different scenarios. To simulate line-integrated spectra as measured by the (virtual) detector, the geometry and Gaussian detection noise are assumed. The line-integrated plasma parameters are inferred within the framework from noisy spectral data using the maximum posterior method. The capabilities and limitations of the model and method are discussed through examples of several synthesized data sets of different plasma parameter profiles.