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Conference Spotlight
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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Chris Wagner: The role of Eden Radioisotopes in the future of nuclear medicine
Chris Wagner has more than 40 years of experience in nuclear medicine, beginning as a clinical practitioner before moving into leadership roles at companies like Mallinckrodt (now Curium) and Nordion. His knowledge of both the clinical and the manufacturing sides of nuclear medicine laid the groundwork for helping to found Eden Radioisotopes, a start-up venture that intends to make diagnostic and therapeutic raw material medical isotopes like molybdenum-99 and lutetium-177.
N. N. Ponomarev-Stepnoi, Y. S. Glushkov, V. P. Garin, G. V. Kompaniets, V. I. Nosov, R. G. Sanchez, R. R. Paternoster, S. P. Gary
Nuclear Science and Engineering | Volume 144 | Number 3 | July 2003 | Pages 191-199
Technical Paper | doi.org/10.13182/NSE03-A2352
Articles are hosted by Taylor and Francis Online.
The authors describe the criticality and reactivity measurement method (CRMM) and give results of their analysis obtained by using this method for a physical inventory of nuclear materials (NMs) on the Nartsiss critical assembly at the Russian Research Center Kurchatov Institute (RRC KI). The proposed approach is a further development of the criticality measurement method used at the Los Alamos National Laboratory (LANL), and is a joint effort of LANL and RRC KI. A brief description is given of the Nartsiss critical assembly. Statistical control charts are used to study the reproducibility of results. The contributions of individual components to the resultant error of the proposed method are estimated. The method of quantile estimates of random errors is used in error analysis. It is shown that the CRMM has high sensitivity and may be successfully used in NM control and accountability.