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Simple detuning method for low-chirp operation in polymer-based tunable external-cavity lasers.

Byung-Seok Choi, Jong Sool Jeong, Hak-Kyu Lee

    Optics Express
    |December 25, 2015
    PubMed
    Summary

    We present a simple detuning method for low-chirp operation in polymer-based tunable external-cavity lasers (ECLs). This technique optimizes parameters for minimal chirp, enabling stable, wavelength-tunable laser performance.

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    Area of Science:

    • Photonics
    • Materials Science
    • Laser Technology

    Background:

    • Directly-modulated external-cavity lasers (ECLs) are crucial for tunable laser applications.
    • Achieving low chirp is essential for high-performance optical communication systems.
    • Polymer-based tunable ECLs offer advantages in cost and manufacturability.

    Purpose of the Study:

    • To propose and demonstrate a simple detuning method for low-chirp operation in polymer-based tunable ECLs.
    • To optimize operating parameters for minimizing chirp in these lasers.
    • To enable stable, wavelength-tunable operation with minimal chirp.

    Main Methods:

    • Optimizing heater current for the polymer Bragg grating reflector (PBR) to minimize peak output power.
    • Adjusting the operating temperature of the ECL.
    • Tuning the lasing mode to the longer wavelength limit of the stable operation region to maximize the detuned loading effect.

    Main Results:

    • A simple detuning method for achieving low-chirp operation in polymer-based tunable ECLs was successfully demonstrated.
    • The method involves optimizing heater current and operating temperature, and tuning to the wavelength limit.
    • This technique, combined with wavelength-locking, allows for minimum chirp operation at any desired wavelength.

    Conclusions:

    • The proposed detuning method effectively minimizes chirp in polymer-based tunable ECLs.
    • This approach ensures stable laser performance across a tunable range.
    • The method is compatible with existing wavelength-locking algorithms for practical implementation.