研究目的
Investigating the dependence of mode spacing of optical self-feedback (OFB) on external optical delay in self mode-locked quantum dash lasers.
研究成果
The mode spacing dependence on external OFB delay lengths and strengths of three single-section quantum dash optical frequency comb lasers, emitting at 1535 nm, are studied experimentally and by modeling. Optimum OFB regimes are identified ensuring a complete mode spacing control.
研究不足
The study is limited to the investigation of mode spacing dependence on external OFB delay lengths and strengths in specific types of lasers. The impact of other factors such as temperature and laser aging is not considered.
1:Experimental Design and Method Selection:
The study involves experimental investigation and modeling of the mode spacing dependence on external OFB delay lengths and strengths in single-section quantum dash optical frequency comb lasers.
2:Sample Selection and Data Sources:
Three lasers with lengths of 1 mm and 2 mm, corresponding to mode spacings of 40 GHz and 20 GHz, based on 6 and 9 layers of InAs/InGaAsP quantum dashes, are used.
3:List of Experimental Equipment and Materials:
The experimental setup includes a lensed single-mode fiber, a hybrid fiber-based and free-space OFB cavity, a variable optical attenuator, and a high-precision linear translation stage.
4:Experimental Procedures and Operational Workflow:
The optical path of the OFB cavity corresponds to macroscopic lengths ranging from 6.6 m to 73.9 m, selectable by single-mode fibers. Microscopic OFB delay is provided by a free-space retro-reflector. The OFB strength is controlled by a variable optical attenuator inside the OFB cavity.
5:6 m to 9 m, selectable by single-mode fibers. Microscopic OFB delay is provided by a free-space retro-reflector. The OFB strength is controlled by a variable optical attenuator inside the OFB cavity.
Data Analysis Methods:
5. Data Analysis Methods: The radio-frequency beat notes are recorded for fixed gain currents, OFB strength, and macroscopic and microscopic lengths. Results are complemented by modeling using a stochastic time-domain model.
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