Abstract
Applications of laser-plasma accelerators demand low energy spread beams and high-efficiency operation. Achieving both requires flattening the accelerating fields by controlled beam loading of the plasma wave. Here, we optimize the generation of an electron bunch via localized ionization injection, such that the combination of injected current profile and averaged acceleration dynamics results in optimal beam loading conditions. This enables the reproducible production of 1.2% rms energy spread bunches with 282MeV and 44pC at an estimated energy-transfer efficiency of ∼19%. We correlate shot-to-shot variations to reveal the phase space dynamics and train a neural network that predicts the beam quality as a function of the drive laser.
Highlights
Applications of laser-plasma accelerators demand low energy spread beams and high-efficiency operation
We optimize the generation of an electron bunch via localized ionization injection, such that the combination of injected current profile and averaged acceleration dynamics results in optimal beam loading conditions
Delivering the small energy spreads required by applications remains a challenge, in particular, since the steep gradients of the fields— which are inherent to the small size of the accelerating structure—can imprint large correlated momentum spreads onto the accelerated bunch
Summary
Applications of laser-plasma accelerators demand low energy spread beams and high-efficiency operation. We optimize the generation of an electron bunch via localized ionization injection, such that the combination of injected current profile and averaged acceleration dynamics results in optimal beam loading conditions.
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