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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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Latest News
Proving DRACO will deliver
The United States is now closer than it has been in over five decades to launching the first nuclear thermal rocket into space, thanks to DRACO—the Demonstration Rocket for Agile Cislunar Orbit.
Li-Xian Fang, Sheng-Yan Lin, Fu Zeng, Chi-Hu Wang, Yong-Cheng Xie
Nuclear Technology | Volume 195 | Number 1 | July 2016 | Pages 71-78
Technical Paper | doi.org/10.13182/NT15-62
Articles are hosted by Taylor and Francis Online.
In this paper, we study the relationship between correlation dimension and signal structure based on nonlinear fractal theory. It shows that when the signal structure is more complex, the correlation dimension is higher. By analyzing background noise, the impact signals of loose parts, and the correlation dimensions of impact signals from background signals, we find that the change of correlation dimensions can reflect the situation of loose parts in reactor operation greatly, and the nonlinear feature of loose parts is consistent at some point. This method can be used to test the initial loosening of parts and to provide an effective way to improve the stability of loose-part monitoring systems.