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20202025
most citedMachine learning for beam dynamics studies at the CERN Large Hadron Collider

51 citations · 78 across the 4 of their papers we have counts for

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physics.acc-ph2025

Single-particle Non-linear Beam Dynamics

M. Giovannozzi

The investigation of single-particle dynamics in circular particle accelerators can be traced back to pioneering works in the 1950s. Traditionally, the design of new circular accel…

physics.acc-ph2025

Future Circular Collider Feasibility Study Report: Volume 2, Accelerators, Technical Infrastructure and Safety

M. Benedikt, F. Zimmermann, B. Auchmann +1461

In response to the 2020 Update of the European Strategy for Particle Physics, the Future Circular Collider (FCC) Feasibility Study was launched as an international collaboration ho…

physics.acc-ph2025★ 3 cited

Future Circular Collider Feasibility Study Report: Volume 3, Civil Engineering, Implementation and Sustainability

M. Benedikt, F. Zimmermann, B. Auchmann +1461

Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability asp…

physics.acc-ph2024

Optimizing Dynamic Aperture Studies with Active Learning

D. Di Croce, M. Giovannozzi, E. Krymova +5

Dynamic aperture is an important concept for the study of non-linear beam dynamics in circular accelerators. It describes the extent of the phase-space region where a particle's mo…

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…