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
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
60 Years of U: Perspectives on resources, demand, and the evolving role of nuclear energy
Recent years have seen growing global interest in nuclear energy and rising confidence in the sector. For the first time since the early 2000s, there is renewed optimism about the industry’s future. This change is driven by several major factors: geopolitical developments that highlight the need for secure energy supplies, a stronger focus on resilient energy systems, national commitments to decarbonization, and rising demand for clean and reliable electricity.
Tomasz Błeński
Nuclear Science and Engineering | Volume 87 | Number 1 | May 1984 | Pages 84-96
Technical Note | doi.org/10.13182/NSE84-A17449
Articles are hosted by Taylor and Francis Online.
The extrapolation distance in the cylindrical Milne problem (“black” cylinder immersed in a homogeneous, infinite, isotropically scattering and absorbing medium) is calculated in one- and two-group approximations. The method used consists of asymptotic expansions in 1/R and R (R being the radius of the cylinder) for large and small R, respectively, and of a variational method for R = O(1), R measured in mean-free-paths. The numerical results are given for two cases in the one-group (c = 0.90 and c = 0.95) and for two cases in the two-group approximation (both for κ = 1). The results show convergence of the methods and sufficient accuracy of the applied numerical procedures. This conclusion is confirmed by the comparison of the values of the extrapolation distance calculated by variational and asymptotic expansion formulas in regions of R, where both can be applied.