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
Jul 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
September 2026
Nuclear Technology
August 2026
Fusion Science and Technology
Latest News
Gov. Sherrill signs bill to begin nuclear procurement in N.J.
On July 13, New Jersey Gov. Mikie Sherrill signed the Power NJ Act, a bill that directs the state’s Board of Public Utilities (BPU), in collaboration with the state’s Economic Development Authority, to establish an “advanced nuclear energy procurement program.”
W. Biel, TEXTOR Team
Fusion Science and Technology | Volume 47 | Number 2 | February 2005 | Pages 246-252
Technical Paper | TEXTOR: Diagnostics | doi.org/10.13182/FST05-A703
Articles are hosted by Taylor and Francis Online.
Spectroscopy in fusion experiments is an important tool to identify impurities in the plasma and to analyze their properties based on the measurement of their characteristic line radiation. For the temperature range typical in fusion plasmas, the dominant part of each impurity in the plasma is highly ionized, and its most intense spectral lines radiate in the vacuum ultraviolet (VUV) wavelength range (10 to 200 nm). The VUV overview spectrometers installed at TEXTOR working at moderate resolution allow one to identify intrinsic plasma impurities such as B (Z = 5), C (Z = 6), Fe (Z = 26), and Cu (Z = 29) as well as seeded impurities such as Ne (Z = 10) and Ar (Z = 18) and to derive information on their relative densities in the plasma. Optimizing these spectrometers for high time resolution provides a tool to analyze transient phenomena like impurity transport processes. In combination with impurity transport modeling and atomic data, the radial distribution of the radial diffusion coefficient is determined from the experimental data. For the case of ohmic discharges, the effective radial diffusion coefficient is found to be anomalously enhanced by more than one order of magnitude as compared to neoclassical predictions.