Sprecher
Beschreibung
As high-intensity ultra-short PW-class laser systems, operating at high repetition rates, become a reality, laser-driven ion sources will become more suited for a variety of their potential applications. For many applications, shot-to-shot reproducibility and tuning of the beam parameters for a desirable proton source is crucial. The laser-driven ion beam depends on both laser and target conditions, making the optimisation of the beam challenging, given the multidimensional parameter space and operation at low repetition rate to date (∼100 shots per experiment). Preliminary results are presented here from a recent experiment at Astra (CLF) in which optimisation of a proton beam has been achieved at up to 5Hz, through tuning the spectral phase of the laser. Automated control of the laser and data acquisition, accompanied by online diagnostics with live feedback into a Bayesian optimisation algorithm, allowed for optimisation of laser-driven ions at high repetition rates. This method, assisted by machine learning techniques, provides a potential framework for optimisation at new pettawatt high repetition rate light sources.
