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BiBTeX citation export for TUPAB329: Pattern Based Parameter Setup of the SNS Linac

@inproceedings{peters:ipac2021-tupab329,
  author       = {C.C. Peters and A.P. Shishlo},
  title        = {{Pattern Based Parameter Setup of the SNS Linac}},
  booktitle    = {Proc. IPAC'21},
  pages        = {2276--2278},
  eid          = {TUPAB329},
  language     = {english},
  keywords     = {cavity, linac, DTL, operation, beam-losses},
  venue        = {Campinas, SP, Brazil},
  series       = {International Particle Accelerator Conference},
  number       = {12},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {08},
  year         = {2021},
  issn         = {2673-5490},
  isbn         = {978-3-95450-214-1},
  doi          = {10.18429/JACoW-IPAC2021-TUPAB329},
  url          = {https://jacow.org/ipac2021/papers/tupab329.pdf},
  note         = {https://doi.org/10.18429/JACoW-IPAC2021-TUPAB329},
  abstract     = {{Theoretical and practical aspects of beam tuning procedures used for the SNS linac are discussed. The SNS linac includes two sections of beam acceleration. Acceleration in the first section up to 185.5 MeV is done with a room temperature copper linac which consists of both Drift Tube Linac (DTL) and Coupled Cavity Linac (CCL) Radio Frequency (RF) cavities. The second section consists of 81 Superconducting RF (SRF) cavities which accelerate the beam to the final beam energy of 1 GeV. The linac is currently capable of delivering an average beam power output of 1.44 MW with typical yearly operating hours of around 4500 hours. Due to the high power output and high availability of the linac, activation of accelerator equipment is a significant concern. The linac tuning process consists of three stages: model based setup of amplitudes and phases of the RF cavities, empirical beam loss reduction, and then documentation of the final amplitudes and phases of RF cavities after the empirical tuning. The final step is needed to ensure fast recovery from an SRF cavity failure. This paper discusses models, algorithms, diagnostic tools, software, and practices that are used for these stages.}},
}