Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models

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. Simultaneousl...

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Vydáno v:	arXiv.org
Hlavní autoři:	Konstantinova, Tatiana, Wiegart, Lutz, Rakitin, Maksim, DeGennaro, Anthony M, Barbour, Andi M
Médium:	Paper
Jazyk:	angličtina
Vydáno:	Ithaca Cornell University Library, arXiv.org 05.08.2021
Témata:	Artificial neural networks Coders Correlation Encoders-Decoders Feature extraction Image reconstruction Neural networks Noise Noise reduction Photon correlation spectroscopy Photons Random noise Signal to noise ratio Spectrum analysis Time correlation functions
ISSN:	2331-8422
On-line přístup:	Získat plný text
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