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Dynamics of power dropout events in semiconductor lasers with optical feedback

机译:具有光学反馈的半导体激光器电源丢失事件的动态

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Semiconductor lasers are extremely sensitive to optical feedback, which can cause power dropout events (often called low-frequency fluctuations (LFF)) near the solitary laser threshold. In this phenomenon, the laser power suddenly drops to almost zero and then recovers in a stepwise manner to its original power level, only to drop out again at irregular time intervals. Previous attempts to explain the origin of these power dropout events employed either solely deterministic or stochastic models. However, power dropout events occur near the solitary laser threshold, where stochastic fluctuations due to spontaneous emission noise typically have a large influence on the dynamical behavior of a laser. In this paper, we have therefore included both deterministic and stochastic mechanisms in our numerical computations to provide a comprehensive model for the dropout events. We show numerically that in some parameter regimes, spontaneous emission noise qualitatively influences the nature and statistics of the dropouts. Experimental measurements of the mean time between dropout events and its dependence on feedback strength agree well with analytic predictions made by Henry and Kazarinov (1986) based on the assumption that spontaneous emission noise induces these dropout events.
机译:半导体激光器对光学反馈非常敏感,这可能导致电源丢失事件(通常称为低频波动(LFF))附近的孤立激光阈值。在这种现象中,激光功率突然下降到几乎零,然后以逐步的方式恢复其原始功率水平,仅以不规则的时间间隔再次脱落。以前尝试解释这些功率丢失事件的起源,这些事件仅采用了不同的确定性或随机模型。然而,在孤立激光阈值附近发生功率丢失事件,其中由于自发发射噪声引起的随机波动通常对激光器的动力学行为具有很大影响。在本文中,我们在数据计算中包括确定性和随机机制,以提供辍学事件的综合模型。我们在数值上显示出在一些参数制度中,自发排放噪声定性地影响辍学的性质和统计数据。实验测量辍学事件与其对反馈强度的依赖性的平均时间达到了由Henry和Kazarinov(1986)的分析预测基于自发发射噪声引起这些辍学事件的假设。

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