Dispersion-scan characterization of partially coherent ultrashort pulses: a differential evolution algorithm analysis
doi: 10.37188/CO.EN-2026-0001
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摘要:
目的:为了从色散扫描轨迹中恢复脉冲信息,本文采用了一种差分进化算法。方法:生成一个部分相干脉冲序列,并使用传统差分进化算法及其改进版本进行测试。结果:传统差分进化算法和改进差分进化算法的恢复误差分别为7%和1%。结论:改进算法能够更准确地恢复部分相干脉冲序列的色散扫描轨迹。
Abstract:Objective: To retrieve the pulse information from the dispersion scanning (d-scan) trace, a differential evolution (DE) algorithm is used. Methods: A partially coherent pulse train is generated and then test by traditional DE algorithm and its improved version. Results: The errors retrieved using the traditional and improved DE algorithms are 7% and 1%, respectively. Conclusion: The improved algorithm can more accurately retrieve the d-scan trace of partially coherent pulse train.
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Figure 1. Partially coherent pulse trains generated with initial spectral FWHM of (a) 30 THz, (b) 60 THz, and (c) 100 THz. Gray curves:
6000 randomly generated pulses. Dashed lines: averaged spectral intensity (blue: 30 THz, violet: 60 THz, magenta: 100 THz). (d) Interpulse coherence for 30 THz (blue solid), 60 THz (violet dashed), and 100 THz (magenta dotted).Figure 2. Partially coherent pulse trains generated with initial spectral shapes: (a) HS, (b) Gaussian, (c) SG. Gray curves:
6000 randomly generated pulses. Dashed lines: averaged spectral intensity (blue: HS, violet: Gaussian, magenta: SG). (d) Interpulse coherence for HS (blue solid), Gaussian (violet dashed), and SG (magenta dotted). -
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