429 citations · 865 across the 14 of their papers we have counts for
11 papers · 1 filter
pyTRAIN -- a modern TRAIN implementation
Michi Hostettler, Xavier Buffat, Tobias Persson +2
The TRAIN code, developed in 1995 as a post-processor for second-order transport maps from MAD, has been used extensively at the LEP and the LHC to study self-consistent closed orb…
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…
Beam-based aperture measurements with movable collimator jaws as performance booster of the CERN Large Hadron Collider
N. Fuster-Martínez, R. W. Aßmann, R. Bruce +6
The beam aperture of a particle accelerator defines the clearance available for the circulating beams and is a parameter of paramount importance for the accelerator performance. At…
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…
Linear Imperfections
Jörg Wenninger
This lecture gives an overview of the impacts on linear machine optics of machine imperfections due to incorrect field settings and misalignments. The effects of imperfections in d…
Polarization and Centre-of-mass Energy Calibration at FCC-ee
Alain Blondel, Patrick Janot, Jörg Wenninger +25
The first stage of the FCC (Future Circular Collider) is a high-luminosity electron-positron collider (FCC-ee) with centre-of-mass energy ranging from 88 to 365 GeV, to study with…
Opportunities in Machine Learning for Particle Accelerators
Auralee Edelen, Christopher Mayes, Daniel Bowring +10
Machine learning (ML) is a subfield of artificial intelligence. The term applies broadly to a collection of computational algorithms and techniques that train systems from raw data…
Design of beam optics for the Future Circular Collider e+e- -collider rings
K. Oide, M. Aiba, S. Aumon +24
A beam optics scheme has been designed for the Future Circular Collider-e+e- (FCC-ee). The main characteristics of the design are: beam energy 45 to 175 GeV, 100 km circumference w…
Machine Protection and Operation for LHC
J. Wenninger
Since 2010 the Large Hadron Collider (LHC) is the accelerator with the highest stored energy per beam, with a record of 140 MJ at a beam energy of 4 TeV, almost a factor of 50 high…
Testing Beam-Induced Quench Levels of LHC Superconducting Magnets
B. Auchmann, T. Baer, M. Bednarek +25
In the years 2009-2013 the Large Hadron Collider (LHC) has been operated with the top beam energies of 3.5 TeV and 4 TeV per proton (from 2012) instead of the nominal 7 TeV. The cu…
Baseline LHC machine parameters and configuration of the 2015 proton run
R. Bruce, G. Arduini, S. Fartoukh +6
This paper shows the baseline LHC machine parameters for the 2015 start-up. Many systems have been upgraded during LS1 and in 2015 the LHC will operate at a higher energy than befo…