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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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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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Grant awarded for advanced reactor workforce needs in southeast U.S.
North Carolina State University and the Electric Power Research Institute have been awarded a $500,000 grant by the NC Collaboratory for “An Assessment to Define Advanced Reactor Workforce Needs,” a project that aims to investigate job needs to help enable new nuclear development and deployment in North Carolina and surrounding areas.
D. Stuenkel, James Paul Holloway, G. F. Knoll
Nuclear Science and Engineering | Volume 132 | Number 3 | July 1999 | Pages 261-272
Technical Paper | doi.org/10.13182/NSE99-A2062
Articles are hosted by Taylor and Francis Online.
A modified truncated singular value decomposition (MTSVD) is employed to unfold proton recoil pulse-height spectra into neutron energy spectra, using experimentally measured response functions. To illustrate the method, spectra from 252Cf and 239PuBe sources are unfolded. The relative error, defined in terms of the 1-norm, using the MTSVD method is found to be approximately half that of the truncated singular value decomposition for the 252Cf spectra. Relative errors for the 239PuBe spectra were approximately equal for the two methods. The method is limited by the precision of the measurement of the response functions and the pulse-height spectra. More precise measurements would allow the use of larger truncation parameters and are likely to result in more accurate reconstructed neutron spectra. The MTSVD method is particularly suited to real-time on-line unfolding of spectra.