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Division Spotlight
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.
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
ANS standard updated for determining meteorological information at nuclear facilities
Following approval in October from the American National Standards Institute, ANSI/ANS-3.11-2024, Determining Meteorological Information at Nuclear Facilities, was published in late November. This standard provides criteria for gathering, assembling, processing, storing, and disseminating meteorological information at commercial nuclear power plants, U.S. Department of Energy/National Nuclear Security Administration nuclear facilities, and other national or international nuclear facilities.
Jing Qian, Min Jia, Tingjin Liu
Nuclear Science and Engineering | Volume 171 | Number 3 | July 2012 | Pages 192-203
Technical Paper | doi.org/10.13182/NSE10-93
Articles are hosted by Taylor and Francis Online.
Experimental data of 54Fe(n, 2n) cross sections below 20 MeV were analyzed and evaluated with corrections and normalization. The data were processed in terms of a fitting by a spline code with the consideration of correlation errors. Also, the corresponding covariance matrices of the experimental data were constructed with the information on experimental errors and correlation errors.
