Speaker
Description
The Facility for Rare Isotope Beams (FRIB) has recently started operation and is gradually increasing its beam power towards the final design goal of 400 kW. Radiation Transport (RT) calculations contribute to ensuring safe power ramp up and operation of FRIB for science experiments. Understanding the accuracy of the RT simulation predictions for the wide range of radiation scenarios present at FRIB is important. RT calculations rely on multiple inputs, such as material composition, geometrical information, cross-sections, and physical models. Each of these inputs contains intrinsic uncertainties that are propagated to the output of the simulation. Therefore, when the input parameters exhibit a significant level of uncertainty, the results of the simulations may lead to erroneous conclusions. Uncertainty Quantification (UQ) methods, such as Bayesian analysis, are a powerful tool for investigating the correlation and influence of systematic uncertainties and, at the same time, for improving the interpretation of the simulation results. In this work, a UQ code based on Metropolis-Hastings Markov chain Monte Carlo was developed to perform an analysis of RT calculations. In particular, the method is applied for studying systematic uncertainties in shielding design and their propagation through burnup codes used to estimate activation and isotope production. Preliminary results and perspectives will be discussed in this talk.
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics and used resources of the Facility for Rare Isotope Beams (FRIB), which is a DOE Office of Science User Facility, operated by Michigan State University, under Award Number DE-SC0000661.
| Scientific Topic 1 | Source terms, new accelerator facilities and related topics |
|---|---|
| Scientific Topic 2 | Code status, development and model converters |
| Scientific Topic 3 | Code benchmarking and intercomparison |
