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Simple analytical model for low-frequency frequency-modulation noise of monolithic tunable lasers
Applied Optics
|March 26, 2014
Summary
We developed analytical models to analyze frequency-modulation (FM) noise in tunable semiconductor lasers. This model identifies noise sources like thermal fluctuations and carrier effects, crucial for laser performance.
Area of Science:
- Semiconductor laser physics
- Optical engineering
- Noise analysis
Background:
- Tunable semiconductor lasers are vital for applications requiring precise wavelength control.
- Understanding and mitigating frequency-modulation (FM) noise is critical for laser performance.
- Existing models may not fully capture the complex noise contributions in widely tunable lasers.
Purpose of the Study:
- To develop a comprehensive analytical model for the entire FM noise spectrum of tunable semiconductor lasers.
- To identify and differentiate various noise contributions, including thermal and carrier-induced effects.
- To validate the model against experimental data and assess its predictive capability.
Main Methods:
- Construction of simple analytical models to simulate the FM noise spectrum.
- Analysis of noise contributions from laser relaxation oscillation, thermal fluctuations, and carrier-induced refractive index fluctuations.
- Correlation analysis between FM noise spectrum and modulation response of passive tuning sections.
- Comparison between sampled-grating distributed Bragg reflector (SG-DBR) lasers and distributed feedback (DFB) lasers.
Main Results:
- The FM noise spectrum model successfully identifies distinct noise contributions.
- Carrier-induced refractive index fluctuations in passive tuning sections are characterized and correlated.
- The model shows excellent agreement with experimental measurements, particularly for phase-error variance.
- The model is applied to widely tunable SG-DBR lasers and compared to DFB lasers.
Conclusions:
- The developed analytical model provides a robust framework for understanding FM noise in tunable semiconductor lasers.
- The model accurately quantifies contributions from various physical mechanisms, aiding in laser design and optimization.
- Experimental validation confirms the model's reliability for predicting laser phase-error variance.
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