High-repetition-rate diagnostics and analysis techniques for HED experiments

As the number and capability of high-repetition-rate (HRR), high-intensity lasers generating data for the high-energy-density (HED) science community increases, so too must our diagnostic and analytic capabilities. Demonstrating the robustness of HRR-capable diagnostics and fast, robust analysis tools which can deliver high-quality outputs in real time, initially during burst mode operations but eventually continuously, will enable the development of a fully integrated system which can run at the maximum repetition rate of the host facility. We present progress in converting single-shot optical, neutron, charged particle and x-ray diagnostics to HRR operation, and the application of machine learning and physics-based system models to accelerate data analysis. These are important steps towards realizing autonomous active feedback control of the widest possible range of HRR HED experiments.