18 citations · 18 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Chaos indicators for non-linear dynamics in circular particle accelerators
C. E. Montanari, R. B. Appleby, A. Bazzani +5
The understanding of non-linear effects in circular storage rings and colliders based on superconducting magnets is a key issue for the luminosity the beam lifetime optimisation. A…
Measurement of the nonlinear diffusion of the proton beam halo at the CERN LHC
C. E. Montanari, R. B. Appleby, A. Bazzani +5
In circular particle accelerators, storage rings, or colliders, mitigating beam losses is critical to ensuring optimal performance, particularly for rings that include superconduct…
Probing the diffusive behaviour of beam-halo dynamics in circular accelerators
C. E. Montanari, A. Bazzani, M. Giovannozzi
Circular particle accelerators at the energy frontier are based on superconducting magnets that are extremely sensitive to beam losses as these might induce quenches, i.e.\ transit…
Advances on the modelling of the time evolution of dynamic aperture of hadron circular accelerators
A. Bazzani, M. Giovannozzi, E. H. Maclean +3
Determining a model for the time scaling of the dynamic aperture of a circular accelerator is a topic of strong interest and intense research efforts in accelerator physics. The mo…