Abstract

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.

Highlights

  • Measurement of ultrashort laser pulse shapes is an important non-trivial task

  • There are several methods allowing for the full characterization of the electric field [1,2,3]; the most common of these measuring methods include second harmonic interferometric autocorrelation (SHIAC) [1], frequency resolved optical gating (FROG) [2] and spectral interferometry for direct electric-field reconstruction (SPIDER) [3]

  • Naganuma et al [5] have shown that the knowledge of both SHIAC trace and spectral intensity are sufficient for pulse reconstruction

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Summary

Introduction

Measurement of ultrashort laser pulse shapes is an important non-trivial task. There are several methods allowing for the full characterization of the electric field [1,2,3]; the most common of these measuring methods include second harmonic interferometric autocorrelation (SHIAC) [1], frequency resolved optical gating (FROG) [2] and spectral interferometry for direct electric-field reconstruction (SPIDER) [3]. GOA as a global searching algorithm, reduces a complex problem into a much simpler one It makes a more detailed optimization in the vicinity of the extrema of the previously simplified problem and repeats this process until the original problem is optimized to a specified precision. In this way, GOA can search a big parameter space and provide GA with a good starting point that is around the global optimum. A method is presented that combines GOA with GA so as to avoid local extrema and reach an accurate optimization solution efficiently We find this algorithm to be well-suited for retrieving phase information from SHIAC and spectral intensity measurements.

Method
Description of problem and data preparation
Graduated optimization algorithm
Genetic algorithm
Results for experimentally available pulses
Results for noise-free simulated pulses
About the usefulness of crossover
Conclusions and discussion

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