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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
“The time is now” to advance U.S. nuclear—Part 1
The Nuclear Regulatory Commission is gearing up to tackle an influx of licensing requests and oversight of advanced nuclear reactor technology, especially small modular reactors.
Yoshiko Harima, Yukio Sakamoto, Naohiro Kurosawa, Akinao Shimizu
Nuclear Technology | Volume 168 | Number 3 | December 2009 | Pages 861-866
Shielding | Special Issue on the 11th International Conference on Radiation Shielding and the 15th Topical Meeting of the Radiation Protection and Shielding Division (PART 3) / Radiation Protection | doi.org/10.13182/NT09-A9319
Articles are hosted by Taylor and Francis Online.
The geometric-progression (G-P) formula can accurately reproduce buildup factor data up to depths of 40 mean free paths (mfp) within a few percent. This formula was improved to apply to depths up to 100 mfp, using the buildup factor data of Shimizu et al. (2004) calculated with the Invariant Embedding method.The behavior of the K parameter as a function of distance was examined, and a new formula was introduced from the depth of Xm ([approximately]40 mfp). The fitting parameters were determined using a minimizing procedure of the maximum fractional deviation (MMD). Within some sets of parameters determined by the MMD fit, one set of parameters was selected that realized the interpolation of the buildup factor with regard to energy, using interpolated G-P parameters. Consequently, discrete buildup factor data were converted to continuous data with regard to both energy and distance.
