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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.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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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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.
Kaushik Banerjee, William R. Martin
Nuclear Science and Engineering | Volume 170 | Number 3 | March 2012 | Pages 234-250
Technical Paper | doi.org/10.13182/NSE10-77
Articles are hosted by Taylor and Francis Online.
The kernel density estimator (KDE) is used to represent Monte Carlo tallies. Two new neutron flux estimators and their variances are developed, namely the KDE collision and KDE track-length tallies. These new estimators are capable of estimating the flux and its variance at any point within a given domain without any bin structure. The strength of these two estimators is illustrated with numerical examples in one- and two-dimensional geometries. Convergence properties of the KDE estimators are discussed and the KDE estimators are compared with the functional expansion tally (FET) and the conventional histogram tally. The results show that the KDE tallies compare favorably with the FET and histogram tallies with respect to accuracy and convergence rate. Disadvantages of KDE estimators are also discussed, and some future research scopes in this area are identified.