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    Area of Science:

    • Photonics and Optical Engineering
    • Nonlinear Optics
    • Infrared Imaging

    Background:

    • Short-wavelength infrared (SWIR) imaging is crucial for various applications.
    • Traditional SWIR imaging often requires specialized and expensive detectors.
    • Image upconversion offers a method to detect SWIR light using visible-light sensors.

    Purpose of the Study:

    • To demonstrate the first efficient SWIR image upconversion using picosecond laser pulses.
    • To develop a method for detecting SWIR images using standard silicon CCD cameras.
    • To analyze and model the factors affecting image resolution in the upconversion system.

    Main Methods:

    • Utilized a fiber laser system generating synchronized picosecond signal (1877 nm) and pump (1550 nm) beams.
    • Employed a single-pass nonlinear optical setup with a bulk lithium niobate crystal.
    • Optimized temporal pulse overlap and pump beam diameter for efficient upconversion.
    • Characterized the upconverted image resolution using a silicon CCD camera and an improved theoretical model.

    Main Results:

    • Achieved efficient upconversion of 1877 nm infrared light to 849 nm.
    • Successfully acquired SWIR images using a silicon CCD camera.
    • The experimental resolution measurements aligned with predictions from a model accounting for beam size, crystal thickness, and illumination polychromaticity.

    Conclusions:

    • Demonstrated a viable method for SWIR image upconversion using high-peak-power picosecond pulses.
    • The developed system enables SWIR imaging with readily available silicon-based cameras.
    • The improved model provides accurate predictions for system resolution, facilitating further optimization.