Self-Adaptive Stabilization and Quality Boost for Electron Beams from All-Optical Plasma Wakefield Accelerators
D. Campbell, T. Heinemann, A. Dickson, T. Wilson, L. Berman, M. Cerchez, S. Corde, A. D\"opp, A.F. Habib, A. Irman, S. Karsch, A. Martinez de la Ossa, A. Pukhov, L. Reichwein, U. Schramm, A. Sutherland, B. Hidding

TL;DR
This paper demonstrates that using plasma photocathodes in a hybrid laser-plasma wakefield accelerator can significantly improve electron beam stability and quality, overcoming shot-to-shot fluctuations inherent in laser wakefield accelerators.
Contribution
The study introduces a novel approach employing plasma photocathodes to stabilize and enhance electron beam quality in all-optical plasma wakefield accelerators, supported by simulation analysis.
Findings
Beam jitters are mitigated by wakefield acceleration insensitivity.
Charge and current jitters are compensated by plasma photocathode injection.
Electron beam quality is improved, enabling applications like free-electron lasers.
Abstract
Shot-to-shot fluctuations in electron beams from laser wakefield accelerators present a significant challenge for applications. Here, we show that instead of using such fluctuating beams directly, employing them to drive a plasma photocathode-based wakefield refinement stage can produce secondary electron beams with greater stability, higher quality, and improved reliability. Our simulation-based analysis reveals that drive beam jitters are compensated by both the insensitivity of beam-driven plasma wakefield acceleration, and the decoupled physics of plasma photocathode injection. While beam-driven, dephasing-free plasma wakefield acceleration mitigates energy and energy spread fluctuations, intrinsically synchronized plasma photocathode injection compensates charge and current jitters of incoming electron beams, and provides a simultaneous quality boost. Our findings suggest plasma…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
