Generating high-quality laser-plasma accelerated electron beams requires carefully balancing a plethora of physical effects and is therefore challenging — both conceptually and in experiments. Here, we use Bayesian optimization of key laser and plasma parameters to flatten the longitudinal phase space of an ionization-injected electron bunch via optimal beam loading. We first study the concept with particle-in-cell simulations and then demonstrate it in experiments. Starting from an arbitrary set-point the plasma accelerator autonomously tunes the beam energy spread to the sub-percent level at 254 MeV and 4.7 pC/MeV spectral density. Finally, we study a robust regime, which improves the stability of the laser-plasma accelerator and delivers sub-5-percent rms energy spread beams for 90% of all shots.
This talk is part of a combined seminar session. See also Optimal beam loading in a laser-plasma accelerator by Manuel Kirchen.
Meeting-ID: 996 5994 7751
Kenncode: 582233