Machine learning for design and control of particle accelerators: A look backward and forward

A Edelen, X Huang - Annual Review of Nuclear and Particle …, 2024 - annualreviews.org
Particle accelerators are extremely complex machines that are challenging to simulate,
design, and control. Over the past decade, artificial intelligence (AI) and machine learning …

Commissioning of the hybrid multibend achromat lattice at the European Synchrotron Radiation Facility

P Raimondi, N Carmignani, LR Carver… - … review accelerators and …, 2021 - APS
The European Synchrotron Radiation Facility (ESRF) operates a 6 GeV fourth generation
light source, the ESRF-Extremely Brilliant Source (EBS). This storage ring is the first to …

LHC optics commissioning: A journey towards 1% optics control

T Persson, F Carlier, JC De Portugal… - … Review Accelerators and …, 2017 - APS
Since 2015 the LHC has been operating at 6.5 TeV. In 2016 the β-functions at the interaction
points of ATLAS and CMS were squeezed to 0.4 m. This is below the design β*= 0.55 m at 7 …

Physics-based deep neural networks for beam dynamics in charged particle accelerators

A Ivanov, I Agapov - Physical review accelerators and beams, 2020 - APS
This paper presents a novel approach for constructing neural networks which model
charged particle beam dynamics. In our approach, the Taylor maps arising in the …

Supervised learning-based reconstruction of magnet errors in circular accelerators

E Fol, R Tomás, G Franchetti - The European Physical Journal Plus, 2021 - epjplus.epj.org
Magnetic field errors and misalignments cause optics perturbations, which can lead to
machine safety issues and performance degradation. The correlation between magnetic …

Analytical beam position monitor method

A Wegscheider, A Langner, R Tomas, A Franchi - … Review Accelerators and …, 2017 - APS
Measurement and correction of focusing errors is of great importance for performance and
machine protection of circular accelerators. Furthermore LHC needs to provide equal …

New approach to LHC optics commissioning for the nonlinear era

EH Maclean, R Tomás, FS Carlier, MS Camillocci… - … Review Accelerators and …, 2019 - APS
In 2017, optics commissioning strategy for low-β* operation of the CERN Large Hadron
Collider (LHC) underwent a major revision. This was prompted by a need to extend the …

[PDF][PDF] Optics corrections using machine learning in the LHC

E Fol, JMC de Portugal, G Franchetti… - Proceedings of the …, 2019 - accelconf.web.cern.ch
Optics corrections in the LHC are based on a response matrix between available correctors
and observables. Supervised learning has been applied to optics correction in the LHC …

Detailed review of the LHC optics commissioning for the nonlinear era

EH Maclean, A Wegscheider, PK Skowronski, L Malina… - 2019 - cds.cern.ch
In 2017, optics commissioning strategy for low-β∗ operation of the CERN Large Hadron
Collider (LHC) underwent a major revision. This was prompted by a need to extend the …

Jacow: Application of machine learning to beam diagnostics

E Fol, JM Coello de Portugal, R Tomás - 2019 - cds.cern.ch
Abstract Machine learning (ML) techniques are widely used in science and industry as a
powerful tool for data analysis and automation. Currently, in accelerator physics ML is …