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
12 papers · 1 filter
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…
The tensorial representation of the distributional stress-energy quadrupole and its dynamics
Jonathan Gratus, Spyridon Talaganis
We investigate stress-energy tensors constructed from the covariant derivatives of delta functions on a worldline. Since covariant derivatives are used all the components transform…
GOGREEN: a critical assessment of environmental trends in cosmological hydrodynamical simulations at z ~ 1
Egidijus Kukstas, Michael L. Balogh, Ian G. McCarthy +28
Recent observations have shown that the environmental quenching of galaxies at z ~ 1 is qualitatively different to that in the local Universe. However, the physical origin of these…
Exploring ultra-high-intensity wakefields in carbon nanotube arrays: an effective plasma-density approach
A. Bonatto, G. Xia, O. Apsimon +6
Charged particle acceleration using solid-state nanostructures has attracted attention in recent years as a method of achieving ultra-high-gradient acceleration in the TV/m domain.…
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…
Mixing the solar wind proton and electron scales. Theory and 2D-PIC simulations of firehose instability
R. A. López, A. Micera, M. Lazar +5
Firehose-like instabilities (FIs) are cited in multiple astrophysical applications. Of particular interest are the kinetic manifestations in weakly-collisional or even collisionles…
Controlled Growth of the Self-Modulation of a Relativistic Proton Bunch in Plasma
L. Verra
A long, narrow, relativistic charged particle bunch propagating in plasma is subject to the self-modulation (SM) instability. We show that SM of a proton bunch can be seeded by the…
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…