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.
Geun-Sun Auh
Nuclear Science and Engineering | Volume 118 | Number 3 | November 1994 | Pages 186-193
Technical Paper | doi.org/10.13182/NSE94-A19384
Articles are hosted by Taylor and Francis Online.
Among the three digital dynamic compensation methods that are developed for or applied to the rhodium self-powered neutron detector—the dominant pole Tustin method of the core operating limit supervisory system, the direct inversion method, and the Kalman filter method—the best method is selected. The direct inversion method is slightly improved from the previous version, and the Kalman filter method is proposed. The simulation results show that the direct inversion method is better than the dominant pole Tustin method, but the best compensation results can be obtained from the Kalman filter method. The direct inversion method gives better results than the dominant pole Tustin method because it does not contain the assumption of a single pole and zero. The Kalman filter method is the best among the three methods because it uses the information of previous time steps throughout its estimation process.