Electronic Population Reconstruction from Strong-Field-Modified Absorption Spectra with a Convolutional Neural Network

Electronic Population Reconstruction from Strong-Field-Modified Absorption Spectra with a Convolutional Neural Network

We simulate ultrafast electronic transitions in an atom and corresponding absorption line changes with a numerical, few-level model, similar to previous work. In addition, a convolutional neural network (CNN) is employed for the first time to predict electronic state populations based on the simulat...

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Bibliographic Details
Main Authors: Daniel Richter, Alexander Magunia, Marc Rebholz, Christian Ott, Thomas Pfeifer
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Optics
Subjects:
atomic physics
ultrafast science
electronic population transfer
free-electron laser
transient absorption spectroscopy
extreme ultraviolet light
Online Access:https://www.mdpi.com/2673-3269/5/1/7

Internet

https://www.mdpi.com/2673-3269/5/1/7

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