Exact phase space matching for staging plasma and traditional accelerator components using longitudinally tailored plasma profiles
X. L. Xu (1), Y. P. Wu (1), C. J. Zhang (1), F. Li (1), Y. Wan (1), J., F. Hua (1), C.-H. Pai (1), W. Lu (1), P. Yu (2), W. An (2), W. B. Mori (2),, M. J. Hogan (3), C. Joshi (2) ((1) Tsinghua University (2) University of

TL;DR
This paper introduces a method using tailored plasma density profiles to achieve exact phase space matching between plasma and traditional accelerators, minimizing emittance growth during beam transport.
Contribution
It presents a novel approach employing nonlinear wake-induced focusing in tailored plasma profiles for precise phase space matching in multi-stage accelerators.
Findings
Theoretical analysis confirms the feasibility of the method.
Particle-in-cell simulations demonstrate effective emittance preservation.
Good agreement between theory and simulation results.
Abstract
Phase space matching between two plasma-accelerator (PA) stages and between a PA and a traditional accelerator component is a critical issue for emittance preservation of beams accelerated by PAs. The drastic differences of the transverse focusing strengths as the beam propagates between different stages and components may lead to a catastrophic emittance growth in the presence of both finite energy spread and lack of proper matching. We propose using the linear focusing forces from nonlinear wakes in longitudinally tailored plasma density profiles to provide exact phase space matching to properly transport the electron beam through two such stages with negligible emittance growth. Theoretical analysis and particle-in-cell simulations show how these structures may work in four different scenarios. Good agreement between theory and simulation is obtained.
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.
