Prediction on X-ray output of free electron laser based on artificial neural networks

Prediction on X-ray output of free electron laser based on artificial neural networks

Abstract Knowledge of x-ray free electron lasers’ (XFELs) pulse characteristics delivered to a sample is crucial for ensuring high-quality x-rays for scientific experiments. XFELs’ self-amplified spontaneous emission process causes spatial and spectral variations in x-ray pulses entering a sample, w...

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Podrobná bibliografie
Hlavní autoři: Kenan Li, Guanqun Zhou, Yanwei Liu, Juhao Wu, Ming-fu Lin, Xinxin Cheng, Alberto A. Lutman, Matthew Seaberg, Howard Smith, Pranav A. Kakhandiki, Anne Sakdinawat
Médium: Článek
Jazyk:English
Vydáno: Nature Portfolio 2023-11-01
Edice:Nature Communications
On-line přístup:https://doi.org/10.1038/s41467-023-42573-z

Internet

https://doi.org/10.1038/s41467-023-42573-z

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