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Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

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Optimization algorithm based characterization scheme for tunable semiconductor lasers.

Quanan Chen, Gonghai Liu, Qiaoyin Lu

|September 9, 2016

Summary

This summary is machine-generated.

This study introduces an optimization algorithm for characterizing tunable semiconductor lasers. Particle swarm optimization (PSO) efficiently achieves stable laser operation at desired frequencies by maximizing the signal-to-noise ratio.

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Area of Science:

Photonics and Optical Engineering
Laser Physics
Semiconductor Device Characterization

Background:

Tunable semiconductor lasers are crucial components in various optical systems.
Characterizing and controlling their operational frequencies, especially side-mode suppression, is challenging.
Existing methods may lack efficiency or directness in achieving stable, designated frequencies.

Purpose of the Study:

To propose and demonstrate an optimization algorithm-based characterization scheme for tunable semiconductor lasers.
To develop a method for efficiently achieving stable laser operation at specific frequencies.
To enhance the control and characterization of laser output power and spectral purity.

Main Methods:

Utilizing a figure of merit based on the ratio of desired frequency power to undesired frequency power, approximating side-mode suppression ratio.
Employing tunable optical band-pass and band-stop filters to isolate frequency components.
Applying optimization algorithms, specifically particle swarm optimization (PSO), to determine optimal operating conditions.

Main Results:

Demonstration of a practical characterization scheme for tunable semiconductor lasers.
Successful application of PSO to achieve stable laser operation at designated frequencies.
Efficiently obtaining the desired frequency output with high spectral purity.

Conclusions:

The proposed optimization algorithm-based scheme provides a direct and efficient method for characterizing tunable semiconductor lasers.
Particle swarm optimization is effective in stabilizing laser operation at target frequencies.
This approach offers improved control over laser performance for practical applications.