Machine Learning Applied at the LHC for Beam Loss Pattern Classification

Valentino, Gianluca; Salvachua, Belen

doi:10.18429/JACoW-IPAC2018-WEPAF078

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BiBTeX citation export for WEPAF078: Machine Learning Applied at the LHC for Beam Loss Pattern Classification

@InProceedings{Valentino:IPAC2018-WEPAF078,
  author       = {G. Valentino and B. Salvachua},
  title        = {{M}achine {L}earning {A}pplied at the {LHC} for {B}eam {L}oss {P}attern {C}lassification},
  booktitle    = {Proc. 9th International Particle Accelerator Conference (IPAC'18),
                  Vancouver, BC, Canada, April 29-May 4, 2018},
  pages        = {2020--2023},
  paper        = {WEPAF078},
  language     = {english},
  keywords     = {beam-losses, collimation, injection, proton, flattop},
  venue        = {Vancouver, BC, Canada},
  series       = {International Particle Accelerator Conference},
  number       = {9},
  publisher    = {JACoW Publishing},
  address      = {Geneva, Switzerland},
  month        = {June},
  year         = {2018},
  isbn         = {978-3-95450-184-7},
  doi          = {doi:10.18429/JACoW-IPAC2018-WEPAF078},
  url          = {http://jacow.org/ipac2018/papers/wepaf078.pdf},
  note         = {https://doi.org/10.18429/JACoW-IPAC2018-WEPAF078},
}