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Simultaneous broadband Raman cascading and parametric conversion in potassium titanyl phosphate
Optics Letters
|October 2, 2013
Summary
Researchers created a wide infrared light spectrum using stimulated Raman scattering in a potassium titanyl phosphate crystal. Visible light was simultaneously generated via nonlinear optical processes, with spatial separation observed for different light components.
Area of Science:
- Nonlinear Optics
- Laser Physics
- Materials Science
Background:
- Stimulated Raman scattering (SRS) is a key nonlinear optical process for generating new frequencies.
- Cascaded SRS can produce a broad spectrum of light, but controlling spatial properties is challenging.
- Second-harmonic generation (SHG) and sum-frequency mixing (SFM) are vital for frequency conversion.
Purpose of the Study:
- To generate a broad infrared light spectrum using cascaded SRS in a potassium titanyl phosphate (KTP) crystal.
- To simultaneously achieve broadband visible light conversion via SHG and SFM.
- To investigate the spatial characteristics and nonlinear conversion efficiencies of the generated light.
Main Methods:
- Utilized a potassium titanyl phosphate (KTP) crystal to induce cascaded stimulated Raman scattering.
- Employed second-harmonic generation (SHG) and sum-frequency mixing (SFM) for broadband visible light conversion.
- Analyzed the spatial distribution and angular separation of generated Stokes components.
Main Results:
- Generated a broad spectrum of infrared light (1064-1300 nm) via cascaded SRS.
- Observed spatial separation of odd- and even-order Stokes components at different propagation angles.
- Reported significant spatial distortions in the output Stokes beams and discussed SHG/SFM efficiency dependence on pump polarization.
Conclusions:
- Demonstrated efficient generation of a broadband infrared spectrum and its subsequent visible conversion in KTP.
- Highlighted the spatial addressing of different order Stokes components, offering potential for beam steering.
- Identified spatial distortions as a key factor influencing nonlinear conversion processes.
