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A non-invasive diagnostic method of cavity detuning based on a convolutional neural network

ACCELERATOR, RAY TECHNOLOGY AND APPLICATIONS | Updated：2022-08-27

- A non-invasive diagnostic method of cavity detuning based on a convolutional neural network Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.33, Issue 7, (2022)
- Affiliations：
  
  Department of Engineering Physics, Tsinghua University,Beijing,China,100084;Key Laboratory of Particle and Radiation Imaging, Tsinghua University,Beijing,China,100084
- Author bio：
- Funds：
- DOI：10.1007/s41365-022-01069-z CLC：
- Published：2022-07，
  
  Published Online：20 July 2022，
  
  Received：07 April 2022，
  
  Revised：07 June 2022，
  
  Accepted：09 June 2022
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Cite this article
Liu-Yuan Zhou, Hao Zha, Jia-Ru Shi, et al. A non-invasive diagnostic method of cavity detuning based on a convolutional neural network. [J]. Nuclear Science and Techniques 33(7):94(2022)
DOI：

Liu-Yuan Zhou, Hao Zha, Jia-Ru Shi, et al. A non-invasive diagnostic method of cavity detuning based on a convolutional neural network. [J]. Nuclear Science and Techniques 33(7):94(2022) DOI： 10.1007/s41365-022-01069-z.

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A non-invasive diagnostic method of cavity detuning based on a convolutional neural network Cover Article Enhanced Publication