Noise reduction in X-ray photon correlation spectroscopy with convolutional neural networks encoder–decoder models

  title={Noise reduction in X-ray photon correlation spectroscopy with convolutional neural networks encoder–decoder models},
  author={Tatiana Konstantinova and Lutz Wiegart and Maksim S Rakitin and Anthony Degennaro and Andi M Barbour},
  journal={Scientific Reports},
Like other experimental techniques, X-ray photon correlation spectroscopy is subject to various kinds of noise. Random and correlated fluctuations and heterogeneities can be present in a two-time correlation function and obscure the information about the intrinsic dynamics of a sample. Simultaneously addressing the disparate origins of noise in the experimental data is challenging. We propose a computational approach for improving the signal-to-noise ratio in two-time correlation functions that… Expand
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