89 citations · 207 across the 8 of their papers we have counts for
8 papers
Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities
Christoph Obermair, Thomas Cartier-Michaud, Andrea Apollonio +10
The occurrence of vacuum arcs or radio frequency (rf) breakdowns is one of the most prevalent factors limiting the high-gradient performance of normal conducting rf cavities in par…
Study of dust-induced beam losses in the cryogenic arcs of the CERN Large Hadron Collider
A. Lechner, P. Bélanger, I. Efthymiopoulos +4
The interaction of dust particles with the LHC proton beams accounts for a major fraction of irregular beam loss events observed in LHC physics operation. The events cease after a…
Fast Failures in the LHC and the future High Luminosity LHC*
B. Lindstrom, P. Bélanger, L. Bortot +11
An energy of is stored in each of the two LHC proton beams for nominal beam parameters. This will be further increased to about in the future High…
Machine Protection, Interlocks and Availability
A. Apollonio, T. Baer, K. Dahlerup-Petersen +7
Chapter 7 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…
PERLE: Powerful Energy Recovery Linac for Experiments - Conceptual Design Report
D. Angal-Kalinin, G. Arduini, B. Auchmann +39
A conceptual design is presented of a novel ERL facility for the development and application of the energy recovery technique to linear electron accelerators in the multi-turn, lar…
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…