Phase Reconstruction from FROG Using Genetic Algorithms[Frequency-Resolved Optical Gating]

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The authors describe a new technique for obtaining the phase and electric field from FROG measurements using genetic algorithms. Frequency-Resolved Optical Gating (FROG) has gained prominence as a technique for characterizing ultrashort pulses. FROG consists of a spectrally resolved autocorrelation of the pulse to be measured. Typically a combination of iterative algorithms is used, applying constraints from experimental data, and alternating between the time and frequency domain, in order to retrieve an optical pulse. The authors have developed a new approach to retrieving the intensity and phase from FROG data using a genetic algorithm (GA). A GA is a general ... continued below

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3 p.

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Omenetto, F.G.; Nicholson, J.W.; Funk, D.J. & Taylor, A.J. April 12, 1999.

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The authors describe a new technique for obtaining the phase and electric field from FROG measurements using genetic algorithms. Frequency-Resolved Optical Gating (FROG) has gained prominence as a technique for characterizing ultrashort pulses. FROG consists of a spectrally resolved autocorrelation of the pulse to be measured. Typically a combination of iterative algorithms is used, applying constraints from experimental data, and alternating between the time and frequency domain, in order to retrieve an optical pulse. The authors have developed a new approach to retrieving the intensity and phase from FROG data using a genetic algorithm (GA). A GA is a general parallel search technique that operates on a population of potential solutions simultaneously. Operators in a genetic algorithm, such as crossover, selection, and mutation are based on ideas taken from evolution.

Physical Description

3 p.

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OSTI as DE00758948

Medium: P; Size: 3 pages

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  • Ultrafast Electronics and Optoelectronics, Snowmass, CO (US), 04/12/1999--04/16/1999

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  • Report No.: LA-UR-99-114
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 758948
  • Archival Resource Key: ark:/67531/metadc706689

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  • April 12, 1999

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  • Sept. 12, 2015, 6:31 a.m.

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  • April 10, 2017, 7:36 p.m.

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Omenetto, F.G.; Nicholson, J.W.; Funk, D.J. & Taylor, A.J. Phase Reconstruction from FROG Using Genetic Algorithms[Frequency-Resolved Optical Gating], article, April 12, 1999; New Mexico. (digital.library.unt.edu/ark:/67531/metadc706689/: accessed October 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.