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article · Journal of Synchrotron Radiation · 2015

General method for automatic on-line beamline optimization based on genetic algorithm

Shibo Xi, L. S. Borgna, Yonghua Du

Cited by 10Open access

Abstract

It is essential but inconvenient to perform high-quality on-line optimization for synchrotron radiation beamlines. Usually, synchrotron radiation beamlines are optimized manually, which is time-consuming and difficult to obtain global optimization for all optical elements of the beamline. In this contribution a general method based on the genetic algorithm for automatic beamline optimization is introduced. This method can optimize all optical components of any beamline simultaneously and efficiently. To test this method, a program developed using LabVIEW is examined at the XAFCA beamline of the Singapore Synchrotron Light Source to optimize the beam flux at the sample position. The results demonstrate that the beamline can be optimized within 17 generations even when the initial flux is as low as 4% of its maximum value.

Cite this paper

APA 7

Xi, S., Borgna, L. S., & Du, Y. (2015). General method for automatic on-line beamline optimization based on genetic algorithm. Journal of Synchrotron Radiation, 22(3), 661–665. https://doi.org/10.1107/s1600577515001861

MLA 9

Xi, Shibo, et al. “General method for automatic on-line beamline optimization based on genetic algorithm.” Journal of Synchrotron Radiation, vol. 22, no. 3, 2015, pp. 661–65, https://doi.org/10.1107/s1600577515001861.

Chicago

Xi, Shibo, L. S. Borgna, and Yonghua Du. 2015. “General method for automatic on-line beamline optimization based on genetic algorithm.” Journal of Synchrotron Radiation 22 (3): 661–65. https://doi.org/10.1107/s1600577515001861.

Harvard

Xi, S., Borgna, L.S. and Du, Y. (2015) ‘General method for automatic on-line beamline optimization based on genetic algorithm’, Journal of Synchrotron Radiation, 22(3), pp. 661–665. Available at: https://doi.org/10.1107/s1600577515001861.

BibTeX
@article{xi2015general,
  title = {{General method for automatic on-line beamline optimization based on genetic algorithm}},
  author = {Xi, Shibo and Borgna, L. S. and Du, Yonghua},
  journal = {Journal of Synchrotron Radiation},
  volume = {22},
  number = {3},
  pages = {661--665},
  year = {2015},
  doi = {10.1107/s1600577515001861}
}

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