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Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
2021 ANS Virtual Annual Meeting
June 14–16, 2021
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Join ANS's watch party for a virtual field trip into outer space
Help ANS celebrate the launch of our newest virtual field trip, “Nuclear Frontiers: Powering Possibility,” by attending tomorrow's online watch party!
The virtual field trip explores the amazing ways that nuclear science is fueling earthly innovation and deep space exploration. The field trip video, which was made available earlier this month, is part of ANS’s Navigating Nuclear: Energizing Our World program The Navigating Nuclear program, which was started in August 2018, has already reached more than 1.5 million K-12 students.
Register now for the watch party for the virtual field trip, to be held tomorrow, May 19, from 1 p.m. to 2 p.m. (EDT).
Brian C. Kiedrowski, Forrest B. Brown, Paul P. H. Wilson
Nuclear Science and Engineering | Volume 168 | Number 3 | July 2011 | Pages 226-241
Technical Paper | dx.doi.org/10.13182/NSE10-22
Articles are hosted by Taylor and Francis Online.
A Monte Carlo method is developed that performs adjoint-weighted tallies in continuous-energy k-eigenvalue calculations. Each contribution to a tally score is weighted by an estimate of the relative magnitude of the fundamental adjoint mode, by way of the iterated fission probability, at the phase-space location of the contribution. The method is designed around the power iteration method such that no additional random walks are necessary, resulting in a minimal increase in computational time. The method is implemented in the Monte Carlo N-Particle (MCNP) code. These adjoint-weighted tallies are used to calculate adjoint-weighted fluxes, point reactor kinetics parameters, and reactivity changes from first-order perturbation theory. The results are benchmarked against discrete ordinates calculations, experimental measurements, and direct Monte Carlo calculations.