Machine learning for design and control of particle accelerators: A look backward and forward
Particle accelerators are extremely complex machines that are challenging to simulate,
design, and control. Over the past decade, artificial intelligence (AI) and machine learning …
design, and control. Over the past decade, artificial intelligence (AI) and machine learning …
Review of linear optics measurement and correction for charged particle accelerators
Measurement and correction of charged particle beam optics have been a major concern
since the advent of strong focusing synchrotron accelerators. Traditionally, particle colliders …
since the advent of strong focusing synchrotron accelerators. Traditionally, particle colliders …
[HTML][HTML] Machine learning for beam dynamics studies at the CERN Large Hadron Collider
P Arpaia, G Azzopardi, F Blanc, G Bregliozzi… - Nuclear Instruments and …, 2021 - Elsevier
Abstract 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 …
in Science and Engineering since decades. High-energy physics has also profited from the …
Record low beating in the LHC
R Tomás, T Bach, R Calaga, A Langner… - Physical Review Special …, 2012 - APS
The LHC is currently operating with a proton energy of 4 TeV and β* functions at the ATLAS
and CMS interaction points of 0.6 m. This is close to the design value at 7 TeV (β*= 0.55 m) …
and CMS interaction points of 0.6 m. This is close to the design value at 7 TeV (β*= 0.55 m) …
CERN Large Hadron Collider optics model, measurements, and corrections
R Tomás, O Brüning, M Giovannozzi, P Hagen… - Physical Review Special …, 2010 - APS
Optics stability during all phases of operation is crucial for the LHC. Tools and procedures
have been developed for rapid checks of beta beating, dispersion, and linear coupling, as …
have been developed for rapid checks of beta beating, dispersion, and linear coupling, as …
Optics measurement algorithms and error analysis for the proton energy frontier
A Langner, R Tomás - Physical Review Special Topics-Accelerators and …, 2015 - APS
Optics measurement algorithms have been improved in preparation for the commissioning
of the LHC at higher energy, ie, with an increased damage potential. Due to machine …
of the LHC at higher energy, ie, with an increased damage potential. Due to machine …
Supervised learning-based reconstruction of magnet errors in circular accelerators
Magnetic field errors and misalignments cause optics perturbations, which can lead to
machine safety issues and performance degradation. The correlation between magnetic …
machine safety issues and performance degradation. The correlation between magnetic …
Measurement of nonlinear observables in the Large Hadron Collider using kicked beams
The nonlinear dynamics of a circular accelerator such as the Large Hadron Collider (LHC)
may significantly impact its performance. As the LHC progresses to more challenging …
may significantly impact its performance. As the LHC progresses to more challenging …
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 …
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
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 …
and observables. Supervised learning has been applied to optics correction in the LHC …