429 citations · 1.4k across the 35 of their papers we have counts for
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Automatic setup of 18 MeV electron beamline using machine learning
Francesco Maria Velotti, Brennan Goddard, Verena Kain +3
To improve the performance-critical stability and brightness of the electron bunch at injection into the proton-driven plasma wakefield at the AWAKE CERN experiment, automation app…
A primary electron beam facility at CERN -- eSPS Conceptual design report
M. Aicheler, T. Akesson, F. Antoniou +52
The design of a primary electron beam facility at CERN is described. The study has been carried out within the framework of the wider Physics Beyond Colliders study. It re-enables…
Proton beam defocusing in AWAKE: comparison of simulations and measurements
A. A. Gorn, M. Turner, E. Adli +96
In 2017, AWAKE demonstrated the seeded self-modulation (SSM) of a 400 GeV proton beam from the Super Proton Synchrotron (SPS) at CERN. The angular distribution of the protons defle…
Experimental Study of Wakefields Driven by a Self-Modulating Proton Bunch in Plasma
M. Turner, P. Muggli, the AWAKE Collaboration
We study experimentally the longitudinal and transverse wakefields driven by a highly relativistic proton bunch during self-modulation in plasma. We show that the wakefields' growt…
Online Multi-Objective Particle Accelerator Optimization of the AWAKE Electron Beam Line for Simultaneous Emittance and Orbit Control
Alexander Scheinker, Simon Hirlaende, Francesco Maria Velotti +4
Multi-objective optimization is important for particle accelerators where various competing objectives must be satisfied routinely such as, for example, transverse emittance vs bun…
Predicting the Trajectory of a Relativistic Electron Beam for External Injection in Plasma Wakefields
Felipe Peña Asmus, Francesco Maria Velotti, Marlene Turner +5
We use beam position measurements over the first part of the AWAKE electron beamline, together with beamline modeling, to deduce the beam average momentum and to predict the beam p…