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BiBTeX citation export for MOPHA010: Automatic Beam Loss Threshold Selection for LHC Collimator Alignment

@InProceedings{azzopardi:icalepcs2019-mopha010,
  author       = {G. Azzopardi and A. Muscat and S. Redaelli and B. Salvachua and G. Valentino},
  title        = {{Automatic Beam Loss Threshold Selection for LHC Collimator Alignment}},
  booktitle    = {Proc. ICALEPCS'19},
  pages        = {208--213},
  paper        = {MOPHA010},
  language     = {english},
  keywords     = {alignment, collimation, beam-losses, detector, software},
  venue        = {New York, NY, USA},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {17},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {08},
  year         = {2020},
  issn         = {2226-0358},
  isbn         = {978-3-95450-209-7},
  doi          = {10.18429/JACoW-ICALEPCS2019-MOPHA010},
  url          = {https://jacow.org/icalepcs2019/papers/mopha010.pdf},
  note         = {https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA010},
  abstract     = {The collimation system used in the Large Hadron Collider at CERN is positioned around the beam with a hierarchy that protects sensitive equipment from unavoidable beam losses. The collimator settings are determined using a beam-based alignment technique, where collimator jaws are moved towards the beam until the beam losses exceed a predefined threshold. This threshold needs to be updated dynamically, corresponding to the changes in the beam losses. The current method for aligning collimators is semi-automated requiring a collimation expert to monitor the loss signals and continuously select and update the threshold accordingly. The human element in this procedure is a major bottleneck for speeding up the alignment. This paper therefore proposes a method to fully automate this threshold selection. A data set was formed from previous alignment campaigns and analyzed to define an algorithm that produced results consistent with the user selections. In over 90% of the cases the difference between the two was negligible and the algorithm presented in this study was used for collimator alignments throughout 2018.},
}