Beam Detection Based on Machine Learning Algorithms

2023/08/01 by Li, Haoyuan, Yin, Qing
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)

paper · doi:10.48550/arxiv.2308.00718

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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