636 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Lancaster UniversityGB114 papers
- Daresbury LaboratoryGB82 papers
- University of ManchesterGB70 papers
- University of LiverpoolGB59 papers
- Sci-Tech DaresburyGB51 papers
- European Organization for Nuclear ResearchCH45 papers
- University of StrathclydeGB43 papers
- University College LondonGB30 papers
- University of OxfordGB28 papers
- Imperial College LondonGB27 papers
- Deutsches Elektronen-Synchrotron DESYDE25 papers
- Budker Institute of Nuclear PhysicsRU21 papers
7 papers · 2 filters
Up-sampling of electron beam simulation particles with addition of shot-noise
P. Traczykowski, L. T. Campbell, B. W. J. McNeil
An algorithm and numerical code for the up-sampling of a system of particles, from a smaller to a larger number, is described. The method introduces a Poissonian `shot-noise' to th…
Attosecond-Angstrom free-electron-laser towards the cold beam limit
A. F. Habib, G. G. Manahan, P. Scherkl +13
Electron beam quality is paramount for X-ray pulse production in free-electron-lasers (FELs). State-of-the-art linear accelerators (linacs) can deliver multi-GeV electron beams wit…
Design and Performance of a Novel Low Energy Multi-Species Beamline for the ALPHA Antihydrogen Experiment
C. J. Baker, W. Bertsche, A. Capra +47
The ALPHA Collaboration, based at the CERN Antiproton Decelerator, has recently implemented a novel beamline for low-energy ( 100 eV) positron and antiproton transport be…
Longitudinally resolved measurement of energy-transfer efficiency in a plasma-wakefield accelerator
L. Boulton, C. A. Lindstrøm, J. Beinortaite +12
Energy-transfer efficiency is an important quantity in plasma-wakefield acceleration, especially for applications that demand high average power. Conventionally, the efficiency is…
Transverse phase space tomography in the CLARA accelerator test facility using image compression and machine learning
Andrzej Wolski, Mark A. Johnson, Matthew King +2
We describe a novel technique, based on image compression and machine learning, for transverse phase space tomography in two degrees of freedom in an accelerator beamline. The tech…
Stable and high quality electron beams from staged laser and plasma wakefield accelerators
F. M. Foerster, A. Döpp, F. Haberstroh +24
We present experimental results on a plasma wakefield accelerator (PWFA) driven by high-current electron beams from a laser wakefield accelerator (LWFA). In this staged setup stabl…
Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities
Christoph Obermair, Thomas Cartier-Michaud, Andrea Apollonio +10
The occurrence of vacuum arcs or radio frequency (rf) breakdowns is one of the most prevalent factors limiting the high-gradient performance of normal conducting rf cavities in par…