Speaker
Description
To optimize proton maximum energy, we adjusted the deformable mirror’s actuators, which directly influence the laser spot size and shape (measured by a wavefront analyzer). Starting with all voltages set to 0V, we aimed to find the optimal configuration to maximize proton energy. Utilizing the ALLS 150 TW laser’s high-repetition rate and a multi-target holder, we collected a dataset of approximately 200 samples. Bayesian Optimization (BO) was then employed to guide the process by creating a surrogate model of the objective function, enabling efficient parameter space exploration.
By controlling 20 out of 48 actuators, we identified configurations that significantly improved proton energy while minimizing experimental iterations (200 data points). This adaptive approach integrates data-driven optimization with precise wavefront control, achieving enhanced ion acceleration. Our method challenges the notion that Gaussian beams are optimal for Target Normal Sheath Acceleration and provides a robust strategy for facilities lacking terawatt/petawatt attenuators to visualize the full-power laser spot. This demonstrates the potential of combining advanced optical control with optimization algorithms to enhance high-intensity laser-driven ion acceleration systems.
