5 citations · 5 across the 3 of their papers we have counts for
3 papers
physics.acc-ph2026
Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction
Yousra El-Bachir, Frederik Van der Veken, Davide di Croce +4
We address the challenge of scalable uncertainty quantification in large-scale scientific applications, where complex state-of-the-art machine learning methods are often computatio…
physics.acc-ph2020
Numerical simulations of electron-cloud build up in circular accelerators in the presence of multimode-distribution beams
X. Cui, S. Gilardoni, M. Giovannozzi +1
Electron cloud effects have become one of the main performance limitations for circular particle accelerators operating with positively-charged beams. Among other machines worldwid…
physics.acc-ph2014★ 5 cited
Baseline LHC machine parameters and configuration of the 2015 proton run
R. Bruce, G. Arduini, S. Fartoukh +6
This paper shows the baseline LHC machine parameters for the 2015 start-up. Many systems have been upgraded during LS1 and in 2015 the LHC will operate at a higher energy than befo…