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Green's function retrieval through cross-correlations in a two-dimensional complex reverberating medium.

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Summary
This summary is machine-generated.

Reconstructing the two-point Green's function using ambient noise cross-correlations depends on source distribution and medium complexity. Laboratory experiments reveal that spatially uncorrelated sources, like turbulent jets, best reconstruct the Green's function.

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Area of Science:

  • Seismology and Wave Physics
  • Acoustics and Signal Processing

Background:

  • Ambient noise cross-correlations can reconstruct the two-point Green's function under specific wave-field conditions.
  • Reconstruction accuracy is influenced by source spatial distribution and medium heterogeneity.

Purpose of the Study:

  • To evaluate the distinct contributions of source distribution and medium complexity to two-point cross-correlation fidelity.
  • To investigate how different source types impact Green's function reconstruction in reverberant environments.

Main Methods:

  • Numerical simulations and laboratory experiments on a finite-size, reverberant two-dimensional (2D) plate.
  • Utilized a turbulent air-jet as a spatially uncorrelated acoustic source.
  • Compared results with point-like and contour-like source distributions.

Main Results:

  • The fidelity of the cross-correlation and Green's function fit is highly sensitive to the source's nature.
  • A turbulent air-jet, producing a spatially uncorrelated field, rapidly builds the Green's function.
  • Point-like sources necessitate more data and longer recordings to overcome energetic first arrivals.

Conclusions:

  • Spatially uncorrelated sources are superior for Green's function reconstruction compared to localized sources.
  • Uniform source distributions outperform surrounding contour distributions, avoiding spurious phases in complex wavefields.