11 citations · 11 across the 2 of their papers we have counts for
4 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…
Calibration Technique for Rotating PCB Coil Magnetic Field Sensors
Joseph DiMarco, Giordana Severino, Pasquale Arpaia
A high-accuracy calibration of inductive coil sensors based on Printed Circuit Board (PCB), commonly used in rotating coil field measurements of particle accelerator magnets, is pr…
Reducing parasitic resonances in particle accelerators components by broadband Higher Order Mode couplers
Antonio Gilardi, Pasquale Arpaia, Luca De Vito +1
In particle accelerator components, parasitic resonances must be reduced because they heat up the equipment and cause beam instabilities. In this paper, a method for designing and…