ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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
Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
A. Dinklage, R. Reimer, R. Wolf, Wendelstein 7-X Team, M. Reich, ASDEX Upgrade Team
Fusion Science and Technology | Volume 59 | Number 2 | February 2011 | Pages 406-417
Technical Paper | doi.org/10.13182/FST11-A11655
Articles are hosted by Taylor and Francis Online.
A forward model for motional Stark effect spectra is developed. The forward model includes beam attenuation and considers the detection of partially polarized light. The forward model is applied to simulate spectra for Wendelstein 7-X. A fit version is used to analyze data from experimental spectra from ASDEX Upgrade. The fit validates the model and enhances the confidence in the simulation. The structure and the content of the model are described to allow modular implementations to guide physics-based diagnostic designs.
