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Quantifying the synchronization of the spikes emitted by coupled lasers
Jordi Tiana-Alsina1, Cristina Masoller2
1Department de Física Aplicada, Facultat de Fisica, Universitat de Barcelona, Marti i Franques 1, 08028 Barcelona, Spain.
Synchronization in semiconductor lasers is challenging to measure in noisy signals. Event synchronization measures accurately quantify spike synchronicity and identify leading and lagging lasers.
Area of Science:
- Physics
- Nonlinear Dynamics
- Optical Engineering
Background:
- Synchronization is a widespread phenomenon in nature, but quantifying it in noisy signals remains difficult.
- Semiconductor lasers offer a controllable and inexpensive platform for studying nonlinear dynamics and synchronization.
- Optically coupled lasers exhibit synchronization with a lag due to signal travel time.
Purpose of the Study:
- To develop and validate a method for accurately quantifying spike synchronization in optically coupled lasers.
- To overcome limitations of traditional synchronization measures that are sensitive to noise and fast fluctuations.
- To identify leading and lagging lasers based on spike timing analysis.
Main Methods:
- Experimental analysis of two mutually optically coupled semiconductor lasers.
- Focusing on the timing of intensity spikes rather than continuous intensity fluctuations.
- Application of event synchronization measures to analyze spike coincidence.
Main Results:
- Event synchronization measures effectively quantify the synchronicity of spikes between coupled lasers.
- These measures are robust against fast, irregular fluctuations present in the laser intensity signals.
- The leading and lagging laser can be accurately identified using spike timing analysis.
Conclusions:
- Event synchronization provides a precise method for analyzing lag synchronization in semiconductor lasers.
- This approach enhances the understanding and quantification of synchronization phenomena in complex systems.
- The developed method offers a reliable tool for characterizing directional coupling and lead-lag relationships in dynamical systems.
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