Beam Measurements and Machine Learning at the CERN Large Hadron Collider

@article{Arpaia2021BeamMA,
  title={Beam Measurements and Machine Learning at the CERN Large Hadron Collider},
  author={Pasquale Arpaia and Gabriella Azzopardi and Fred Blanc and Xavier Buffat and Loic Coyle and Elena Fol and Francesco Giordano and Massimo Giovannozzi and Tatiana Pieloni and Roberto Prevete and Stefano Redaelli and Belen Salvachua and Beno{\^i}t Salvant and Michael Schenk and Matteo Solfaroli Camillocci and Rogelio Tom{\'a}s and Gianluca Valentino and Frederik F. Van der Veken and J{\"o}rg Wenninger},
  journal={IEEE Instrumentation \& Measurement Magazine},
  year={2021},
  volume={24},
  pages={47-58}
}
Particle accelerators are among the most complex instruments conceived by physicists for the exploration of the fundamental laws of nature. Of relevance for particle physics are the high-energy colliders, such as the CERN Large Hadron Collider (LHC), which hosts particle physics experiments that are probing the Standard Model predictions and looking for signs of physics beyond the standard model. 
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