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BiBTeX citation export for MOPAB140: Gas Sheet Ionization Diagnostic for High Intensity Electron Beams

@inproceedings{norvell:ipac2021-mopab140,
  author       = {N.P. Norvell and G. Andonian and T.J. Campese and N.M. Cook and A.-L.M.S. Lamure and J.K. Penney and M. Ruelas and A.Yu. Smirnov and C.P. Welsch},
% author       = {N.P. Norvell and G. Andonian and T.J. Campese and N.M. Cook and A.-L.M.S. Lamure and J.K. Penney and others},
% author       = {N.P. Norvell and others},
  title        = {{Gas Sheet Ionization Diagnostic for High Intensity Electron Beams}},
  booktitle    = {Proc. IPAC'21},
  pages        = {489--491},
  eid          = {MOPAB140},
  language     = {english},
  keywords     = {diagnostics, electron, detector, operation, vacuum},
  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-MOPAB140},
  url          = {https://jacow.org/ipac2021/papers/mopab140.pdf},
  note         = {https://doi.org/10.18429/JACoW-IPAC2021-MOPAB140},
  abstract     = {{The characterization of high intensity charged particle beams in a minimally interceptive, and non-destructive manner is performed using an ionization diagnostic. In this application, a neutral gas is tailored into a thin sheet, or curtain-like, distribution at the interaction point with an electron beam. The electron beam ionizes the neutral gas in localized space, leaving a footprint of the beam transverse distribution. The ion cloud is subseqeuntly imaged with a series of electrostatic lenses to a detector plane. The resultant image is used in a reconstruction algorithm to reconstruct the beam profile at the interaction point. In this paper, we present progress on the development of this diagnostic for the characterization of high charge, 10GeV electron beams with small transverse distributions.}},
}