Integrated Analysis of X-ray Self-Emission Data for Diagnosing Thermodynamic Conditions in Implosion Experiments

The extreme conditions reached in laser-driven implosion experiments have made them a popular platform to study high-energy-density plasmas such as those that occur in the interiors of stars and other astrophysical bodies. However, the quantitative study of these systems often hinges on the accurate determination of the plasma conditions achieved in the implosion, which is challenging given the highly integrated nature of measurements in convergent geometries. We present a data-driven, Bayesian analysis that leverages measurements of x-ray self-emission from multiple diagnostics to enable statistically rigorous inference of the thermodynamic conditions reached in these implosion experiments. This analysis is applied to implosions of D₂-filled glass (SiO₂) exploding pusher type targets on the OMEGA laser system to simultaneously infer the pressure, temperature, and density histories in the SiO₂ at multi-gigabar conditions. Implications and future extensions of this platform are discussed.