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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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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
Strontium: Supply-and-demand success for the DOE’s Isotope Program
The Department of Energy’s Isotope Program (DOE IP) announced last week that it would end its “active standby” capability for strontium-82 production about two decades after beginning production of the isotope for cardiac diagnostic imaging. The DOE IP is celebrating commercialization of the Sr-82 supply chain as “a success story for both industry and the DOE IP.” Now that the Sr-82 market is commercially viable, the DOE IP and its National Isotope Development Center can “reassign those dedicated radioisotope production capacities to other mission needs”—including Sr-89.
R. D. M. Garcia
Nuclear Science and Engineering | Volume 153 | Number 1 | May 2006 | Pages 46-59
Technical Paper | doi.org/10.13182/NSE06-A2594
Articles are hosted by Taylor and Francis Online.
An improved version of a numerical method for computing collision probabilities is developed for r--z geometry. It is concluded from the results of numerous test cases that the method can be used to compute collision probabilities in this geometry with an accuracy better than 0.1% in typically <1 s (occasionally, in a few seconds when dealing with difficult cases) on the Athlon 64 3200+ processor. The developed algorithm is implemented into the framework of the collision probability method and tested for one-group criticality problems for finite circular and semicircular cylinders.