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Mixing partially coherent fields with gaussian irradiance profiles; optimization criteria.

Applied optics·2010
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Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
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Mixing inhomogeneous, partially coherent optical fields.

J N Lahti

    Applied Optics
    |January 15, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a phase-quadrature description for random optical fields, enhancing optical heterodyne analysis. The new method reveals coherence suppression and broadens the field of view, aligning with experimental data.

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    Area of Science:

    • Optics and Photonics
    • Quantum Optics
    • Signal Processing

    Background:

    • Traditional logamplitude-phase representation limits optical heterodyne analysis.
    • Inhomogeneous and partially coherent fields pose challenges for signal-to-noise ratio calculations.

    Purpose of the Study:

    • To introduce a phase-quadrature (p-q) description for random optical fields.
    • To investigate optical heterodyne behavior with inhomogeneous and partially coherent fields.
    • To analyze the signal-to-noise ratio and associated phenomena.

    Main Methods:

    • Development of an expression for average signal-to-noise ratio using the p-q representation.
    • Analysis of the signal-to-noise ratio expression to identify underlying effects.
    • Theoretical examination of field of view broadening due to spatial coherence.

    Main Results:

    • The p-q representation provides insights into optical heterodyne behavior.
    • Saturation effects and coherence suppression phenomena are explained.
    • Weak spatial coherence in signal or local oscillator fields can drastically broaden the heterodyne's field of view.

    Conclusions:

    • The phase-quadrature description is a powerful tool for analyzing optical heterodyne systems.
    • The findings explain previously observed experimental phenomena and offer new possibilities for system design.
    • Theoretical predictions show excellent agreement with recent experimental data.