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Published on: August 12, 2013
Optical limiting and spectral stabilization in segmented photonic lattices
Matthias Heinrich1, Falk Eilenberger, Robert Keil
1CREOL, The College of Optics & Photonics, University of Central Florida, Orlando, Florida 32816, USA.
Optics Express
|November 29, 2012
Summary
We developed integrated optical limiters using photonic lattices. These devices reduce transmission at high input powers, minimizing spectral distortions for better optical signal processing.
Area of Science:
- Photonics
- Nonlinear Optics
- Materials Science
Background:
- Optical limiters are crucial for protecting sensitive equipment from high-intensity laser light.
- Existing optical limiter technologies often suffer from spectral distortions and limited scalability.
- Photonic lattices offer novel light manipulation capabilities for advanced optical devices.
Purpose of the Study:
- To propose and experimentally demonstrate a novel integrated optical limiter based on photonic lattices.
- To investigate the nonlinear transmission characteristics of the proposed device.
- To evaluate the reduction of nonlinear spectral distortions in the device.
Main Methods:
- Fabrication of a waveguide lattice in bulk fused silica using femtosecond laser writing.
- Characterization of the device's optical transmission under varying input power levels.
- Analysis of spectral properties to quantify nonlinear spectral distortions.
Main Results:
- Achieved unity transmission in the linear regime, transitioning to power-dependent transmission decrease.
- Demonstrated significant reduction in nonlinear spectral distortions due to diffractive propagation.
- Successfully implemented the optical limiter functionality in an experimental waveguide lattice.
Conclusions:
- Photonic lattices with segmentation-based self-imaging are effective integrated optical limiters.
- The proposed device offers superior performance with reduced spectral distortions compared to conventional methods.
- This technology holds promise for advanced optical protection and signal processing applications.
