Real-time reconstruction of high energy, ultrafast laser pulses using deep learning

We report a method for the phase reconstruction of an ultrashort laser pulse based on the deep learning of the nonlinear spectral changes induce by self-phase modulation. The neural networks were trained on simulated pulses with random initial phases and spectra, with pulse durations between 8.5 and...

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Detalles Bibliográficos
Autores principales: Stanfield, Matthew, Ott, Jordan, Gardner, Christopher, Beier, Nicholas F., Farinella, Deano M., Mancuso, Christopher A., Baldi, Pierre, Dollar, Franklin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964819/
https://www.ncbi.nlm.nih.gov/pubmed/35351923
http://dx.doi.org/10.1038/s41598-022-09041-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964819/
https://www.ncbi.nlm.nih.gov/pubmed/35351923
http://dx.doi.org/10.1038/s41598-022-09041-y

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