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BiBTeX citation export for MOPA13: Design of a Surrogate Model for MUED at BNL Using VSim, Elegant and HPC

@inproceedings{sosaguitron:napac2022-mopa13,
  author       = {S.I. Sosa Guitron and S. Biedron and T.B. Bolin},
  title        = {{Design of a Surrogate Model for MUED at BNL Using VSim, Elegant and HPC}},
& booktitle    = {Proc. NAPAC'22},
  booktitle    = {Proc. 5th Int. Particle Accel. Conf. (NAPAC'22)},
  pages        = {72--74},
  eid          = {MOPA13},
  language     = {english},
  keywords     = {simulation, gun, electron, detector, laser},
  venue        = {Albuquerque, NM, USA},
  series       = {International Particle Accelerator Conference},
  number       = {5},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {10},
  year         = {2022},
  issn         = {2673-7000},
  isbn         = {978-3-95450-232-5},
  doi          = {10.18429/JACoW-NAPAC2022-MOPA13},
  url          = {https://jacow.org/napac2022/papers/mopa13.pdf},
  abstract     = {{The MeV Ultrafast Electron Diffraction (MUED) instrument at Brookhaven National Laboratory is a unique capability for material science. As part of a plan to make MUED a high-throughput user facility, we are exploring instrumentation developments based on Machine Learning (ML). We are developing a surrogate model of MUED that can be used to support control tasks. The surrogate model will be based on beam simulations that are benchmarked to experimental observations. We use VSim to model the beam dynamics of the radio-frequency gun and Elegant to transport the beam through the rest of the beam-line. We also use High Performance Computing resources from Argonne Leadership Computing Facility to generate the data for the surrogate model based on the original simulation as well as training the ML model.}},
}