Quantifying and reducing uncertainty in ICF experiments using optimal experimental design*

High Energy Density (HED) science is the study of the behavior of material under extreme

conditions of temperature and pressure. Understanding the growth and properties of

hydrodynamic instabilities and the transition into turbulence is important in many HED

processes and also yields insights into other areas where hydrodynamic instabilities occur. In

contrast to classical fluids experiments, examining hydrodynamic instabilities in the HED regime

poses novel challenges. HED experiments are expensive and often performed at oversubscribed

facilities. Additionally, there are many limitations for the available diagnostics and experiments

are typically multi-physics in nature. Such complexity means that modeling can become

prohibitively expensive. Improving the models from limited experimental and high-fidelity

simulation data is therefore of great importance. We will discuss the use of statistical techniques

on a large suite of 2D xRAGE simulations of multimode Richtmyer-Meshkov and Rayleigh-

Taylor experiments performed on Omega-EP in order to better understand how our experimental

data can be used to understand turbulence models in the HED regime.

 

LA-UR-22-26870