Spectral phase retrieval from interferometric autocorrelation by a combination of graduated optimization and genetic algorithms | Zendy

Wenlong Yang | Zendy; M.M. Springer | Zendy; James Strohaber | Zendy; Alexandre Kolomenski | Zendy; H. A. Schuessler | Zendy; George W. Kattawar | Zendy; Alexei V. Sokolov | Zendy

Open Access

Spectral phase retrieval from interferometric autocorrelation by a combination of graduated optimization and genetic algorithms

Author(s) -

Wenlong Yang,

M.M. Springer,

James Strohaber,

Alexandre Kolomenski,

H. A. Schuessler,

George W. Kattawar,

Alexei V. Sokolov

Publication year - 2010

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.18.015028

Subject(s) - autocorrelation , phase retrieval , interferometry , optics , femtosecond , phase (matter) , algorithm , harmonic , laser , genetic algorithm , computer science , materials science , physics , mathematics , fourier transform , statistics , quantum mechanics , machine learning

We describe a method for retrieving spectral phase information from second harmonic interferometric autocorrelation measurements supplemented by the use of the observed spectral intensity. By applying a combination of graduated optimization and genetic algorithms, accurate phase retrieval of laser pulses as short as a few optical cycles was obtained from the measured autocorrelation and spectral intensity. The effectiveness of the combined algorithms is demonstrated on a set of significantly different femtosecond pulse shapes.

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