Resolving Spectral Congestion in Time-Resolved Surface-Enhanced Coherent Raman Signals using Compressed Sensing

ORAL

Abstract

Experimental noise often limits spectral and temporal resolution in coherent nonlinear optical spectroscopy. For example, in time-resolved surface-enhanced coherent anti-stokes Raman scattering (SECARS) spectroscopy the spectral resolution increases with a decreasing size of the pulse shaper slit but the signal-to-noise ratio decreases [1-3]. The theoretical limits of resolution in time-resolved CARS have previously been discussed [4]. We apply the compressed sensing (CS) technique to improve data analysis and to reach the theoretical spectral resolution in noisy SECARS signals.

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Authors

  • Chuanhong Liu

    • Xi'an Jiaotong University, Xi'an, Shannxi, China 710049

  • Dmitri Voronine

    • Texas A\&M University, College Station, TX 77845
    • Texas A\&M University and Baylor University
    • None
    • Baylor University and Texas A\&M University
    • Texas A\&M University
    • Texas A\&M Univ

  • Marlan Scully

    • Texas A\&M University, Princeton University, Baylor University
    • Texas A\&M University, College Station, TX 77845
    • Texas A\&M University, Baylor University and Princeton University
    • None
    • professor
    • Baylor University, Texas A\&M University, and Princeton University
    • Texas A\&M University, College Station, TX 77843, USA; Princeton University, Princeton, NJ 08544, USA; Baylor University, Waco, TX 76798, USA
    • Texas A\&M University, Princeton, and Baylor University
    • Texas A\&M University
    • Texas A\&M Univ