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BiBTeX citation export for TUPA83: Derivative-Free Optimization of Multipole Fits to Experimental Wakefield Data

@inproceedings{majernik:napac2022-tupa83,
  author       = {N. Majernik and G. Andonian and W.J. Lynn and P. Piot and J.B. Rosenzweig and T. Xu},
  title        = {{Derivative-Free Optimization of Multipole Fits to Experimental Wakefield Data}},
& booktitle    = {Proc. NAPAC'22},
  booktitle    = {Proc. 5th Int. Particle Accel. Conf. (NAPAC'22)},
  pages        = {523--526},
  eid          = {TUPA83},
  language     = {english},
  keywords     = {wakefield, simulation, multipole, experiment, electron},
  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-TUPA83},
  url          = {https://jacow.org/napac2022/papers/tupa83.pdf},
  abstract     = {{A method to deduce the transverse self-wakefields acting on a beam, based only on screen images, is introduced. By employing derivative-free optimization, the relatively high-dimensional parameter space can be efficiently explored to determine the multipole components up to the desired order. This technique complements simulations, which are able to directly infer the wakefield composition. It is applied to representative simulation results as a benchmark and also applied to experimental data on skew wake observations from dielectric slab structures.}},
}