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BiBTeX citation export for WEPA09: A Parallel Automatic Simulation Tool for Cavity Shape Optimization

@inproceedings{ge:napac2022-wepa09,
  author       = {L. Ge and M. Beall and B.R. Downie and O. Klaas and Z. Li and C.-K. Ng and L. Xiao},
% author       = {L. Ge and M. Beall and B.R. Downie and O. Klaas and Z. Li and C.-K. Ng and others},
% author       = {L. Ge and others},
  title        = {{A Parallel Automatic Simulation Tool for Cavity Shape Optimization}},
& booktitle    = {Proc. NAPAC'22},
  booktitle    = {Proc. 5th Int. Particle Accel. Conf. (NAPAC'22)},
  pages        = {634--636},
  eid          = {WEPA09},
  language     = {english},
  keywords     = {cavity, HOM, simulation, SRF, gun},
  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-WEPA09},
  url          = {https://jacow.org/napac2022/papers/wepa09.pdf},
  abstract     = {{We present a parallel automatic shape optimization workflow for designing accelerator cavities. The newly developed 3D parallel optimization tool Opt3P based on discrete adjoint methods is used to determine the optimal accelerator cavity shape with the desired spectral response. Initial and updated models, meshes, and design velocities of design parameters for defining the cavity shape are generated with Simmetrix tools for mesh generation (MeshSim), geometry modification and query (GeomSim), and user interface tools (SimModeler). Two shape optimization examples using this automatic simulation workflow will be presented here. One is the TESLA cavity with higher-order-mode (HOM) couplers and the other is a superconducting rf (SRF) gun. The objective for the TESLA cavity is to minimize HOM damping factors and for the SRF gun to minimize the surface electric and magnetic fields while maintaining its operating mode frequency at a prescribed value. The results demonstrate that the automatic simulation tool allows an efficient shape optimization procedure with minimal manual operations. All simulations were performed on the NERSC supercomputer Cori system for solution speedup.}},
}