JACoW logo

Journals of Accelerator Conferences Website (JACoW)

JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.


BiBTeX citation export for TUPOST055: Toward Machine Learning-Based Adaptive Control and Global Feedback for Compact Accelerators

@inproceedings{croppv:ipac2022-tupost055,
  author       = {F.W. Cropp V and D. Filippetto and A. Gilardi and P. Musumeci and S. Paiagua and A. Scheinker and D. Wang},
% author       = {F.W. Cropp V and D. Filippetto and A. Gilardi and P. Musumeci and S. Paiagua and A. Scheinker and others},
% author       = {F.W. Cropp V and others},
  title        = {{Toward Machine Learning-Based Adaptive Control and Global Feedback for Compact Accelerators}},
  booktitle    = {Proc. IPAC'22},
% booktitle    = {Proc. 13th International Particle Accelerator Conference (IPAC'22)},
  pages        = {991--994},
  eid          = {TUPOST055},
  language     = {english},
  keywords     = {controls, feedback, diagnostics, electron, quadrupole},
  venue        = {Bangkok, Thailand},
  series       = {International Particle Accelerator Conference},
  number       = {13},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {07},
  year         = {2022},
  issn         = {2673-5490},
  isbn         = {978-3-95450-227-1},
  doi          = {10.18429/JACoW-IPAC2022-TUPOST055},
  url          = {https://jacow.org/ipac2022/papers/tupost055.pdf},
  abstract     = {{The HiRES beamline at Lawrence Berkeley National Laboratory (USA) is a state-of-the-art compact accelerator providing ultrafast relativistic electron pulses at MHz repetition rates, for applications in ultrafast science and for particle accelerator science and technology R&D. Using HiRES as testbed, we seek to apply recent developments in machine learning and computational techniques for machine-learning-based adaptive control, and eventually, a full control system based on global feedback. The ultimate goal is to demonstrate the benefits of such a suite of controls to UED, including increased temporal and spatial resolution. Concrete steps toward these goals are presented, including automatic, model-independent tuning for accelerators, and energy virtual diagnostics with direct application to improving UED temporal resolution.}},
}