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 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
Fusion Science and Technology
May 2026
Latest News
Breaking ground on a new approach to construction
The drive to Kairos Power’s reactor demonstration site in Oak Ridge, Tenn., is not only scenic—it’s historic. Nearly 85 years ago, roughly 30,000 construction workers transformed orchards and farmland into a key Manhattan Project site. Depending on your route, you may pass by one of the three gatehouses that were once military checkpoints controlling access to Atomic Energy Commission production facilities.
K. D. Lathrop
Nuclear Science and Engineering | Volume 24 | Number 4 | April 1966 | Pages 381-388
Technical Paper | doi.org/10.13182/NSE66-A16408
Articles are hosted by Taylor and Francis Online.
To permit numerical solution of photon transport problems by the method of discrete ordinates, an anisotropic scattering approximation and a multigroup cross-section preparation recipe are selected. The incorporation of the anisotropic scattering approximation in a discrete-ordinates transport-theory code is described. Results of discrete-ordinates calculations are compared to Monte Carlo and moments-methods computations in three test problems. Flux values and leakage percentages in the different methods of solution are found to be in excellent agreement, even when a relatively low-order (four or six terms of a Legendre polynomial expansion) anisotropic scattering approximation is used in the discrete-ordinates method. In the test problems considered, the discrete-ordinates method is (computationally) nearly an order of magnitude faster than the other methods.