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Picosecond-pulse wavelength conversion based on cascaded second-harmonic generation-difference frequency generation
Yong Wang1, Jorge Fonseca-Campos, Chang-Qing Xu
1Department of Engineering Physics, McMaster University, Ontario, Canada. wangyong_x@yahoo.com
Applied Optics
|July 11, 2006
Summary
This study demonstrates efficient wavelength conversion of picosecond optical pulses using a MgO-doped periodically poled lithium niobate waveguide. The cascaded second-harmonic generation-difference-frequency generation process shows promising results for optical signal processing.
Area of Science:
- Nonlinear optics
- Integrated photonics
- Materials science
Background:
- Efficient wavelength conversion is crucial for optical signal processing and telecommunications.
- Periodically poled lithium niobate (PPLN) waveguides offer unique nonlinear optical properties.
- MgO-doped PPLN enhances material stability and nonlinear coefficients.
Purpose of the Study:
- To investigate the wavelength conversion of picosecond optical pulses.
- To explore the cascaded second-harmonic generation-difference-frequency generation (SHG-DFG) process.
- To analyze conversion efficiency based on temporal and spectral characteristics.
Main Methods:
- Experimental generation of picosecond pulses (2-7 ps) from a mode-locked fiber laser (1530-1570 nm).
- Utilizing a MgO-doped PPLN waveguide for cascaded SHG-DFG.
- Theoretical modeling and simulation of the wavelength conversion process.
Main Results:
- Demonstrated wavelength conversion of picosecond pulses interacting with a continuous wave (cw) in the waveguide.
- Systematically investigated conversion characteristics by alternating pulsed and cw pumps.
- Quantitatively examined conversion dependence on pulse width, average power, and pump wavelength.
Conclusions:
- The cascaded SHG-DFG process in MgO-doped PPLN waveguides is effective for picosecond pulse wavelength conversion.
- Simulation results closely match experimental data, validating the theoretical model.
- The study provides a comprehensive analysis of conversion efficiency for optical signal processing applications.

