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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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
When your test capsule is the test: ORNL’s 3D-printed rabbit
Oak Ridge National Laboratory has, for the first time, designed, printed, and irradiated a specimen capsule—or rabbit capsule—for use in its High Flux Isotope Reactor (HFIR), the Department of Energy announced on January 15.
Rudolf Avenhaus
Nuclear Science and Engineering | Volume 86 | Number 3 | March 1984 | Pages 275-282
Technical Paper | doi.org/10.13182/NSE84-A17556
Articles are hosted by Taylor and Francis Online.
The present state of the evaluation of material balance data in the framework of international nuclear material safeguards is reviewed. The safeguards objectives, laid down qualitatively in the model agreement of the International Atomic Energy Agency, are formulated quantitatively in statistical terms as high probability of detection and short expected detection time in case of diversion. According to these objectives, the analysis consists of two parts: In the first part, a fixed reference time containing a given number of inventory periods is considered. Here, the optimal decision procedure can be determined explicitly. In the second part, an infinite reference time consisting of inventory periods of given lengths is considered. Here, only a general framework for the optimal decision procedure can be given so far; therefore, plausible procedures are discussed.