Chinese Journal of Lasers, Volume. 50, Issue 11, 1101016(2023)
Dynamic Characteristic Extraction and Prediction of Soliton Bound States in Passively Mode‐Locked Fiber Lasers
Fig. 1. Passive mode-locked fiber laser and real-time detection system based on nonlinear polarization rotation technology
Fig. 2. Laser mode-locked output characteristics. (a) Spectrum; (b) time-domain pulse sequence
Fig. 4. Loose soliton bound state. (a) Real-time spectral evolution; (b) spectra; (c) single period autocorrelation trace
Fig. 5. Compact soliton bound state. (a) Real-time spectral evolution; (b) spectra; (c) single period autocorrelation trace
Fig. 6. Training parameters and evaluation indicators. (a) Loss curve; (b) influence of number of characteristic parameters on training result; (c) Pearson correlation coefficient
Fig. 7. Continuous 10-round spectra. (a) Spectra measured by experiment; (b) spectra predicted by network
Fig. 8. Real time spectral dynamics of soliton bound states. (a) Origin spectrum; (b) reconstructed spectrum
Fig. 9. One-period autocorrelation traces and phase difference evolutions of real-time spectrum and reconstructed spectrum. (a) One-period autocorrelation traces; (b) phase difference evolution at position A; (c) phase difference evolution at position B
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Congcong Liu, Jiangyong He, Jin Li, Yu Ning, Fengkai Zhou, Pan Wang, Yange Liu, Zhi Wang. Dynamic Characteristic Extraction and Prediction of Soliton Bound States in Passively Mode‐Locked Fiber Lasers[J]. Chinese Journal of Lasers, 2023, 50(11): 1101016
Category: laser devices and laser physics
Received: Mar. 16, 2023
Accepted: May. 9, 2023
Published Online: Jun. 5, 2023
The Author Email: Wang Zhi (zhiwang@nankai.edu.cn)