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Division Spotlight
Operations & Power
Members focus on the dissemination of knowledge and information in the area of power reactors with particular application to the production of electric power and process heat. The division sponsors meetings on the coverage of applied nuclear science and engineering as related to power plants, non-power reactors, and other nuclear facilities. It encourages and assists with the dissemination of knowledge pertinent to the safe and efficient operation of nuclear facilities through professional staff development, information exchange, and supporting the generation of viable solutions to current issues.
Meeting Spotlight
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
Norway’s Halden reactor takes first step toward decommissioning
The government of Norway has granted the transfer of the Halden research reactor from the Institute for Energy Technology (IFE) to the state agency Norwegian Nuclear Decommissioning (NND). The 25-MWt Halden boiling water reactor operated from 1958 to 2018 and was used in the research of nuclear fuel, reactor internals, plant procedures and monitoring, and human factors.
O. J. Wallace
Nuclear Science and Engineering | Volume 78 | Number 1 | May 1981 | Pages 78-85
Technical Note | doi.org/10.13182/NSE81-A19609
Articles are hosted by Taylor and Francis Online.
Calculations based on the integration of the point kernel over a finite source region are widely used in obtaining gamma-ray fluxes, dose rates, and heating rates. For most cases of practical interest, this integration must be done numerically. The relative merits of the trapezoidal rule, Gauss quadrature, and the semi-Gauss automatic quadrature algorithm of Patterson are discussed as they apply to the integration of the point kernel. The Patterson algorithm is superior to other quadrature algorithms for this application because it allows results to be calculated to a predetermined relative error, wastes no function evaluations, is accurate, and supplies relative error data along with the answer. It is efficient with respect to both engineering and computer time. The implementation of this algorithm for point-kernel integrations is described in detail.
