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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Meeting Spotlight
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
College students help develop waste-measuring device at Hanford
A partnership between Washington River Protection Solutions (WRPS) and Washington State University has resulted in the development of a device to measure radioactive and chemical tank waste at the Hanford Site. WRPS is the contractor at Hanford for the Department of Energy’s Office of Environmental Management.
T. T. Ivanova, M. N. Nikolaev, K. F. Raskach, E. V. Rozhikhin, A. M. Tsiboulia
Nuclear Science and Engineering | Volume 145 | Number 1 | September 2003 | Pages 97-104
Technical Paper | doi.org/10.13182/NSE03-27
Articles are hosted by Taylor and Francis Online.
The necessity of accounting for the correlation of experimental uncertainties when determining calculational uncertainty in criticality predictions is demonstrated in this paper. An example of constructing the correlation matrix for the experimental uncertainties of the experiments with highly enriched uranium solutions performed and evaluated at the Institute of Physics and Power Engineering, Russian Federation, is presented. A conclusion is drawn with regard to the significant influence of the correlations on the average calculation-experiment deviation and the deviation uncertainty.