研究目的
To demonstrate a highly efficient process of cascaded wavelength conversion based on Stark-chirped rapid adiabatic passage for mid-infrared laser generation, and to analyze factors affecting efficiency and compare with traditional methods.
研究成果
The SCRAP-based cascaded wavelength conversion achieves high efficiency (25.3 MW/cm2 output intensity with 0.4% intermediate intensity) and better stability compared to STIRAP. It allows efficient conversion under small phase mismatches and temperature changes, making it promising for mid-infrared laser applications, though experimental validation is needed.
研究不足
The study is theoretical and based on simulations; experimental verification is not provided. The model assumes undepleted pump approximation and specific crystal parameters, which may not hold in all practical scenarios. The efficiency is sensitive to phase mismatches and temperature variations.
1：Experimental Design and Method Selection:
The study uses numerical simulation based on the Stark-chirped rapid adiabatic passage (SCRAP) theory applied to optical wavelength conversion. A model with coupled equations for two three-wave mixing (TWM) cascaded processes is established, incorporating phase mismatches and coupling coefficients.
2：Sample Selection and Data Sources:
Simulations are performed with specific parameters: signal wavelength at 1,064 nm, pump wavelengths at 2,700 nm and 3,000 nm, intermediate wavelength at 1,750 nm, output wavelength at 4,200 nm, using a LiNbO3 crystal.
3：List of Experimental Equipment and Materials:
A 20-mm-long LiNbO3 crystal with χ(2) = 28 pm/V is used; input intensity is 100 MW/cm2, pump intensities are 72 GW/cm2 and
4：5 GW/cm2. Experimental Procedures and Operational Workflow:
The simulation involves solving the coupled equations along the propagation length in the crystal, with Gaussian modulations for coupling coefficients to achieve adiabatic passage.
5：Data Analysis Methods:
Numerical methods are used to compute conversion efficiencies and intensity variations, with comparisons to STIRAP-based methods.
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