122 citations · 344 across the 8 of their papers we have counts for
5 papers · 1 filter
Beam Measurements and Machine Learning at the CERN Large Hadron Collider
P. Arpaia, G. Azzopardi, F. Blanc +16
This paper presents a review of the recent Machine Learning activities carried out on beam measurements performed at the CERN Large Hadron Collider. This paper has been accepted fo…
Machine learning for beam dynamics studies at the CERN Large Hadron Collider
P. Arpaia, G. Azzopardi, F. Blanc +17
Machine learning entails a broad range of techniques that have been widely used in Science and Engineering since decades. High-energy physics has also profited from the power of th…
Testing Beam-Induced Quench Levels of LHC Superconducting Magnets
B. Auchmann, T. Baer, M. Bednarek +25
In the years 2009-2013 the Large Hadron Collider (LHC) has been operated with the top beam energies of 3.5 TeV and 4 TeV per proton (from 2012) instead of the nominal 7 TeV. The cu…
Simulations and measurements of beam loss patterns at the CERN Large Hadron Collider
R. Bruce, R. W. Assmann, V. Boccone +21
The CERN Large Hadron Collider (LHC) is designed to collide proton beams of unprecedented energy, in order to extend the frontiers of high-energy particle physics. During the first…
Measurements of the effect of collisions on transverse beam halo diffusion in the Tevatron and in the LHC
G. Stancari, G. Annala, T. R. Johnson +9
Beam-beam forces and collision optics can strongly affect beam lifetime, dynamic aperture, and halo formation in particle colliders. Extensive analytical and numerical simulations…