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.
R. H. Karcher, R. C. Erdmann, O. C. Baldonado
Nuclear Science and Engineering | Volume 31 | Number 3 | March 1968 | Pages 492-499
Technical Paper | doi.org/10.13182/NSE68-A17592
Articles are hosted by Taylor and Francis Online.
The feasibility of track-length distribution biasing for the calculation of spatial and angular particle flux far from the source in an infinite medium is investigated. Calculations are performed for an idealized particle transport model having an exact analytical solution, and results for scalar flux are given to a penetration distance of approximately 60 mean-free-paths. Results are also given for angular distributions. It is found that the “optimum” biasing parameter “a” for scalar flux prediction can be approximated by a exp(−a) = 0.368c n/40 (a revised form of an empirical expression from an earlier study), where c is the probability of scatter and n is the desired penetration distance. If appropriate corrections are made for the effects of inelastic and hydrogen scatter, the present results can provide useful guidance in the application of the track-length distribution biasing technique to more realistic systems.