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20172021
most citedMachine Layout and Performance

1 citations · 2 across the 5 of their papers we have counts for

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6 papers · 1 filter

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

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…

physics.acc-ph20201 cited

FCC-hh Experimental Insertion Region Design

Jose L. Abelleira, Robert B. Appleby, Sergey Arsenyev +29

The Future Circular Collider study is exploring possible designs of circular colliders for the post-LHC era, as recommended by the European Strategy Group for High Energy Physics.…

physics.acc-ph2020

Computing techniques

X. Buffat

This lecture aims at providing a user's perspective on the main concepts used nowadays for the implementation of numerical algorithm on common computing architecture. In particular…

physics.acc-ph2019

A muon source based on planar channelling radiation

Xavier Buffat

The usage of channelling radiation arising from a high energy electron beam traversing a crystal for the production of an intense low emittance muon beam is investigated. The optim…

physics.acc-ph20171 cited

Machine Layout and Performance

D. Angal-Kalinin, R. Appleby, G. Arduini +57

Chapter 2 in High-Luminosity Large Hadron Collider (HL-LHC) : Preliminary Design Report. The Large Hadron Collider (LHC) is one of the largest scientific instruments ever built. Si…