Beam Detection Based on Machine Learning Algorithms

Haoyuan Li, Qing Yin
8/1/2023
physics.data-ancs.LG

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Abstract

The positions of free electron laser beams on screens are precisely determined by a sequence of machine learning models. Transfer training is conducted in a self-constructed convolutional neural network based on VGG16 model. Output of intermediate layers are passed as features to a support vector regression model. With this sequence, 85.8% correct prediction is achieved on test data.

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Cite this paper

@article{li2023beam,
  title  = {Beam Detection Based on Machine Learning Algorithms},
  author = {Haoyuan Li and Qing Yin},
  year   = {2023},
  eprint = {2308.00718},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.00718v1}
}

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