Open AccessAttosecond streaking phase retrieval with neural network
Author(s) -
James White,
Zenghu Chang
Publication year - 2019
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.004799
Subject(s) - streaking , attosecond , phase retrieval , artificial neural network , optics , phase (matter) , physics , noise (video) , ptychography , artificial intelligence , computer science , image (mathematics) , fourier transform , laser , diffraction , quantum mechanics , ultrashort pulse
A new method for retrieving the spectral phase of isolated attosecond X-ray pulses from streaking traces is explored. The neural network method shows the potential for nearly instantaneous attosecond streaking phase retrieval, without use of the central momentum approximation. A neural network is trained with computer generated data that contain statistical noise and shown to correctly retrieve the phase of both computer generated and experimental attosecond streaking traces.