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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.
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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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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A look inside NIST’s work to optimize cancer treatment and radiation dosimetry
In an article just published by the Taking Measure blog of the National Institute of Standards and Technology, Stephen Russek—who leads the Imaging Physics Project in the Magnetic Imaging Group at NIST and codirects the MRI Biomarker Measurement Service—describes his team’s work using phantom stand-ins for human tissue.
R. S. Keshavamurthy, R. S. Geetha
Nuclear Science and Engineering | Volume 162 | Number 2 | June 2009 | Pages 192-199
Technical Note | doi.org/10.13182/NSE162-192
Articles are hosted by Taylor and Francis Online.
Steffensen's inequality is used to obtain new properties of nuclear Doppler broadening functions. We apply the inequality on subinterval integrals of these functions to obtain bounds that provide new approximations for the Doppler broadening functions. The Taylor series is used to further simplify the analytic approximations for the bounds to sums of terms of elementary transcendental functions. The approximations for bounds are able to reproduce the functions with any desired decimal place accuracy. The average of the lower and upper bounds provide better approximations to achieve the same level of decimal place accuracy and are much more efficient computationally. The method is capable of computing the functions to arbitrary accuracy as the inequality essentially gives the bounds of the functions.