AI Article Synopsis

  • The study presents a method that uses the concept of sparsity to enhance laser pulse diagnostics through both numerical simulations and experimental techniques.
  • It explores three specific applications: improving resolution in photodiode-oscilloscope systems to measure laser pulse intensity, reconstructing ultrashort laser pulses' intensity profiles from autocorrelation data, and retrieving incomplete pulse information using a sparse representation from optical gating measurements.
  • This approach aims to extend the performance of existing diagnostic tools and provide more accurate measurements of laser pulses.

Article Abstract

We propose and demonstrate, numerically and experimentally, use of sparsity as prior information for extending the capabilities and performance of techniques and devices for laser pulse diagnostics. We apply the concept of sparsity in three different applications. First, we improve a photodiode-oscilloscope system's resolution for measuring the intensity structure of laser pulses. Second, we demonstrate the intensity profile reconstruction of ultrashort laser pulses from intensity autocorrelation measurements. Finally, we use a sparse representation of pulses (amplitudes and phases) to retrieve measured pulses from incomplete spectrograms of cross-correlation frequency-resolved optical gating traces.

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http://dx.doi.org/10.1364/OE.27.008920DOI Listing

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