Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.03550 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915268707483648 |
|---|---|
| author | Guo, Pan Gao, Yuan Pu, Yongjie Zhao, Zhigang Cong, Zhenhua Wang, Sha |
| author_facet | Guo, Pan Gao, Yuan Pu, Yongjie Zhao, Zhigang Cong, Zhenhua Wang, Sha |
| contents | As dual combs play a significant role in numerous high-precision measurements, their efficient generation has been widely researched. Although the single-cavity dual-comb generation can avoid the complex active stabilization methods, achieving and maintaining stable dual-comb mode locking within a single cavity remains a critical challenge. To break through this constraint, a two-part evaluation criterion containing a fitness function and a CNN-Transformer network is employed to achieve mode locking and classify the dual-comb mode-locked state. Simulated time-stretch dispersive Fourier transform (DFT) spectra are used as datasets, which simplifies the optimization process and does not rely on specific experimental data. A developed evolutionary algorithm (EA) for paddle-based motorized polarization controllers (MPCs) is proposed, enabling the intelligent attainment of dual-comb mode-locked states. A real-time library stores fitness and MPC angles, facilitating mode-locked state achievement within 2 seconds. Finally, long term running of dual-comb mode locking is ensured by a random collision algorithm utilizing an evaluation criterion of weak soliton peaks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_03550 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Intelligent Mode-Locked Single-Cavity Dual-Comb Laser Utilizing Time-Stretch Dispersive Fourier Transform Spectroscopy Guo, Pan Gao, Yuan Pu, Yongjie Zhao, Zhigang Cong, Zhenhua Wang, Sha Optics 78-05 J.2; J.6 As dual combs play a significant role in numerous high-precision measurements, their efficient generation has been widely researched. Although the single-cavity dual-comb generation can avoid the complex active stabilization methods, achieving and maintaining stable dual-comb mode locking within a single cavity remains a critical challenge. To break through this constraint, a two-part evaluation criterion containing a fitness function and a CNN-Transformer network is employed to achieve mode locking and classify the dual-comb mode-locked state. Simulated time-stretch dispersive Fourier transform (DFT) spectra are used as datasets, which simplifies the optimization process and does not rely on specific experimental data. A developed evolutionary algorithm (EA) for paddle-based motorized polarization controllers (MPCs) is proposed, enabling the intelligent attainment of dual-comb mode-locked states. A real-time library stores fitness and MPC angles, facilitating mode-locked state achievement within 2 seconds. Finally, long term running of dual-comb mode locking is ensured by a random collision algorithm utilizing an evaluation criterion of weak soliton peaks. |
| title | Intelligent Mode-Locked Single-Cavity Dual-Comb Laser Utilizing Time-Stretch Dispersive Fourier Transform Spectroscopy |
| topic | Optics 78-05 J.2; J.6 |
| url | https://arxiv.org/abs/2501.03550 |