204 citations · 665 across the 13 of their papers we have counts for
13 papers
Bayesian Optimization Algorithms for Accelerator Physics
Ryan Roussel, Auralee L. Edelen, Tobias Boltz +23
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simul…
Control Systems and Data Management for High-Power Laser Facilities
Scott Feister, Kevin Cassou, Stephen Dann +9
The next generation of high-power lasers enables repetition of experiments at orders of magnitude higher frequency than was possible using the prior generation. Facilities requirin…
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp, Christoph Eberle, Sunny Howard +3
Laser-plasma physics has developed rapidly over the past few decades as high-power lasers have become both increasingly powerful and more widely available. Early experimental and n…
Conceptual Design Report for the LUXE Experiment
Halina Abramowicz, Uwe Hernandez Acosta, Massimo Altarelli +88
This Conceptual Design Report describes LUXE (Laser Und XFEL Experiment), an experimental campaign that aims to combine the high-quality and high-energy electron beam of the Europe…
Automation and control of laser wakefield accelerators using Bayesian optimisation
R. J. Shalloo, S. J. D. Dann, J. -N. Gruse +26
Laser wakefield accelerators promise to revolutionise many areas of accelerator science. However, one of the greatest challenges to their widespread adoption is the difficulty in c…
Plasma Wakefield Accelerator Research 2019 - 2040: A community-driven UK roadmap compiled by the Plasma Wakefield Accelerator Steering Committee (PWASC)
Bernhard Hidding, Simon Hooker, Steven Jamison +9
The acceleration gradients generated in a laser- or beam-driven plasma wakefield accelerator are typically three orders of magnitude greater than those produced by a conventional a…