Generation of meter-scale hydrogen plasmas and efficient, pump-depletion-limited wakefield excitation using 10 GeV electron bunches
C. Zhang (1), D. Storey (2), P. San Miguel Claveria (3), Z. Nie (1),, K. A. Marsh (1), M. Hogan (2), W. B. Mori (1, 4), E. Adli (5), W. An (6),, R. Ariniello (2), G. J. Cao (5), C. Clarke (2), S. Corde (3), T. Dalichaouch, (4), C. E. Doss (7), C. Emma (2), H. Ekerfelt (2)

TL;DR
This study demonstrates meter-scale hydrogen plasma generation and efficient wakefield excitation using 10 GeV electron bunches, advancing high-repetition-rate plasma wakefield acceleration for future colliders.
Contribution
First demonstration of meter-scale hydrogen plasmas and high-efficiency wakefield excitation with 10 GeV electron bunches at FACET-II, enabling higher repetition rates for PWFA.
Findings
Hydrogen plasmas of 30-160 cm length generated with structured electron bunches.
Wakefields capable of accelerating electrons with high energy transfer efficiency (~60%).
Onset of pump depletion observed at hydrogen pressure >1.5 Torr.
Abstract
High repetition rates and efficient energy transfer to the accelerating beam are important for a future linear collider based on the beam-driven plasma wakefield acceleration scheme (PWFA-LC). This paper reports the first results from the Plasma Wakefield Acceleration Collaboration (E300) that are beginning to address both of these issues using the recently commissioned FACET-II facility at SLAC. We have generated meter-scale hydrogen plasmas using time-structured 10 GeV electron bunches from FACET-II, which hold the promise of dramatically increasing the repetition rate of PWFA by rapidly replenishing the gas between each shot compared to the hitherto used lithium plasmas that operate at 1-10 Hz. Furthermore, we have excited wakes in such plasmas that are suitable for high gradient particle acceleration with high drive-bunch to wake energy transfer efficiency -- a first step in…
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.
