Abstract
This paper introduces a quick method for improving the accuracy of Monte Carlo simulations by generating one- and two-dimensional cross sections at a user-defined temperature before performing transport calculations. A finite difference method is used to Doppler-broaden cross sections to the desired temperature, and unit-base interpolation is done to generate the probability distributions for double differential two-dimensional thermal moderator cross sections at any arbitrarily user-defined temperature. The accuracy of these methods is tested using a variety of contrived problems. In addition, various benchmarks at elevated temperatures are modeled, and results are compared with benchmark results. The problem-dependent cross sections are observed to produce eigenvalue estimates that are closer to the benchmark results than those without the problem-dependent cross sections.
| Original language | English |
|---|---|
| Pages (from-to) | 49-56 |
| Number of pages | 8 |
| Journal | Annals of Nuclear Energy |
| Volume | 88 |
| DOIs | |
| State | Published - Feb 1 2016 |
Funding
The work documented in this paper was performed with support from the U.S. Department of Energy Nuclear Criticality Safety Program.
Keywords
- Doppler broadening
- KENO
- Monte Carlo
- SCALE
- Thermal scattering