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BiBTeX citation export for WEPOPT040: Numerical Noise Error of Particle-In-Cell Poisson Solver for a Flat Gaussian Bunch

@inproceedings{luo:ipac2022-wepopt040,
  author       = {Y. Luo and J.S. Berg and M. Blaskiewicz and W. Fischer and X. Gu and Y. Hao and H. Huang and H. Lovelace III and C. Montag and V.S. Morozov and E.A. Nissen and R.B. Palmer and S. Peggs and V. Ptitsyn and J. Qiang and T. Satogata and F.J. Willeke and D. Xu},
% author       = {Y. Luo and J.S. Berg and M. Blaskiewicz and W. Fischer and X. Gu and Y. Hao and others},
% author       = {Y. Luo and others},
  title        = {{Numerical Noise Error of Particle-In-Cell Poisson Solver for a Flat Gaussian Bunch}},
  booktitle    = {Proc. IPAC'22},
% booktitle    = {Proc. 13th International Particle Accelerator Conference (IPAC'22)},
  pages        = {1939--1941},
  eid          = {WEPOPT040},
  language     = {english},
  keywords     = {simulation, proton, electron, emittance, collider},
  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-WEPOPT040},
  url          = {https://jacow.org/ipac2022/papers/wepopt040.pdf},
  abstract     = {{The Electron-Ion Collider (EIC) presently under construction at Brookhaven National Laboratory will collider polarized high energy electron beams with hadron beams with luminosity up to 1×10³⁴cm⁻²s⁻¹ in the center mass energy range of 20-140 GeV. We simulated the planned electron-proton collision of flat beams with Particle-In-Cell (PIC) based Poisson solver in strong-strong beam-beam simulation. We observed a much larger proton emittance growth rate than that from weak-strong simulation. To better understand the emittance growth rate from the strong-strong simulation, we compare the beam-beam kicks between the PIC method and the analytical calculation and calculate the RMS variation in beam-beam kicks among 1000 sets of random Gaussian particle distributions. The impacts of macro-particle number, grid number, and bunch flatness are also studied.}},
}