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

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, which lead...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Kenan, Zhou, Guanqun, Liu, Yanwei, Wu, Juhao, Lin, Ming-fu, Cheng, Xinxin, Lutman, Alberto A., Seaberg, Matthew, Smith, Howard, Kakhandiki, Pranav A., Sakdinawat, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630459/
https://www.ncbi.nlm.nih.gov/pubmed/37935675
http://dx.doi.org/10.1038/s41467-023-42573-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630459/
https://www.ncbi.nlm.nih.gov/pubmed/37935675
http://dx.doi.org/10.1038/s41467-023-42573-z

Ejemplares similares