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BiBTeX citation export for TUXB07: High-Current H₂⁺ Beams from a Compact Cyclotron using RFQ Direct Injection

@inproceedings{winklehner:ipac2021-tuxb07,
  author       = {D. Winklehner and J.M. Conrad and D. Koser and J. Smolsky and L.H. Waites},
  title        = {{High-Current H₂⁺ Beams from a Compact Cyclotron using RFQ Direct Injection}},
  booktitle    = {Proc. IPAC'21},
  pages        = {1301--1304},
  eid          = {TUXB07},
  language     = {english},
  keywords     = {cyclotron, rfq, simulation, extraction, ion-source},
  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-TUXB07},
  url          = {https://jacow.org/ipac2021/papers/tuxb07.pdf},
  note         = {https://doi.org/10.18429/JACoW-IPAC2021-TUXB07},
  abstract     = {{For the IsoDAR neutrino experiment, we have developed a compact and cost-effective cyclotron-based driver to produce high current beams (cw proton beam currents of >10 mA at 60 MeV). This is a factor of 4 higher than the current state-of-the-art for cyclotrons and a factor of 10 compared to what is commercially available. All areas of physics that call for high cw currents can greatly benefit from this result; e.g. particle physics, medical isotope production, and energy research. This increase in beam current is possible in part because the cyclotron is designed to include and use vortex-motion, allowing clean extraction. Such a design process is only possible with the help of high-fidelity codes, like OPAL. Another novelty is the use of an RFQ embedded in the cyclotron yoke to bunch the beam during axial injection. Finally, using H²⁺ relieves some of the space charge constraints during injection. In this paper, we will give an overview of the project and then focus on the design and simulations of the cyclotron itself. We will describe the physics, computational tools, and simulation results. At the end, we will describe how we are including machine learning in the simulations.}},
}