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Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle
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Sensitivity kernel for surface scattering in a waveguide.

Jit Sarkar1, Christian Marandet, Philippe Roux

  • 1Marine Physical Laboratory, Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA.

The Journal of the Acoustical Society of America
|January 28, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a sensitivity kernel to analyze how surface changes affect acoustic waves in water. Findings show this kernel accurately models sea surface perturbations, aiding wavefield analysis.

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Area of Science:

  • Acoustic physics
  • Oceanography
  • Wave propagation

Background:

  • Understanding acoustic wave behavior in water columns is crucial.
  • Surface perturbations can significantly alter acoustic propagation.
  • Existing models may not fully capture the sensitivity of multipath propagation to surface changes.

Purpose of the Study:

  • To derive a linearized sensitivity kernel describing surface-to-acoustic propagation relationships.
  • To investigate the structure of the surface scattering kernel numerically and experimentally.
  • To demonstrate the sensitivity of multipath propagation to localized air-water interface perturbations.

Main Methods:

  • Utilizing the Born approximation to derive the sensitivity kernel.
  • Numerical and experimental investigations of the surface scattering kernel in a waveguide.
  • Formulating the kernel in point-to-point and beam-to-beam representations.

Main Results:

  • A linearized sensitivity kernel was successfully derived.
  • The study numerically and experimentally validated the surface scattering kernel structure.
  • The formulated kernel effectively demonstrated multipath propagation sensitivity to surface perturbations.

Conclusions:

  • The derived sensitivity kernel accurately models the impact of surface changes on acoustic propagation.
  • Experimental and theoretical results show strong agreement.
  • The findings suggest practical applications in sensitivity analysis for sea surface perturbations.