51 citations · 52 across the 3 of their papers we have counts for
3 papers
physics.acc-ph2022★ 1 cited
Data-driven modeling of beam loss in the LHC
Ekaterina Krymova, Guillaume Obozinski, Michael Schenk +2
In the Large Hadron Collider, the beam losses are continuously measured for machine protection. By design, most of the particle losses occur in the collimation system, where the pa…
physics.acc-ph2021
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…
physics.acc-ph2020★ 51 cited
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…