ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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!
Latest Magazine Issues
Dec 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
D. K. Wehe, J. Schmidt
Nuclear Science and Engineering | Volume 104 | Number 2 | February 1990 | Pages 145-152
Technical Paper | doi.org/10.13182/NSE90-A23711
Articles are hosted by Taylor and Francis Online.
Recognizing that differential quantities are sometimes not of practical interest, a simple method for projecting integral quantities is presented. The technique uses only the measured moments of the differential quantity to predict other moments and does not require an explicit a priori knowledge of the differential spectrum. The particular application discussed involves prediction of integral quantities from multiple-foil neutron activations, including integral fast fluxes and activities. In energy regions with good response function coverage, the technique is shown to yield reasonably accurate predictions of the integral fluxes (within ∼15%) and other activities (within ∼30%) using a limited set of measured activities. The methods presented for predicting errors, however, were not as effective in providing reliable quantitative error estimates in all cases.