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Division Spotlight
Radiation Protection & Shielding
The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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
Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
R. J. Peterson
Nuclear Science and Engineering | Volume 161 | Number 3 | March 2009 | Pages 346-356
Technical Paper | doi.org/10.13182/NSE161-346
Articles are hosted by Taylor and Francis Online.
A kinematic scaling system, based on successes found for inclusive electron-nucleus continuum spectra, is developed and applied to (p,px) and (p,nx) data at beam energies from 346 to 1600 MeV. The emphasis is on ejectiles with the highest energies at small angles since these are the particles able to induce further reactions in thick samples of interest for current and future accelerator-driven neutron sources. The limits of the method are explored, and successes are used to identify gaps in the difficult data sets available. Scaling successes are able to allow interpolations and extrapolations needed for applications. Details of the method are presented in appendixes.
