Tomographic Imaging of Meta-Shells: Noisy Scattering Data

In this contribution, we review our recent results and some new ideas concerning both direct and (mainly) inverse wave scattering by meta-shells, i.e., closed, generally semi-transparent metasurfaces. It is shown that these meta-shells can be characterized by a singular potential. In the most general case of Huygens' metasurfaces with magneto-electric coupling, the wave scattering is described by a four-parameter family of point interactions, derived previously within 1D quantum mechanics. A linear non-iterative inversion algorithm is used to recover the support of the scattering potential, and therefore, the shape of the meta-shell. Special attention is devoted to the impact of noise on the image quality. Performing a number of 2D simulations, it is shown that the inversion algorithm is extremely robust, as the recovery of arbitrary meta-shells is achieved even when the true signal is well below the noise floor in the scattering data.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999236
Primary Topic
Methane Hydrates and Related Phenomena
Type
article
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article

Tomographic Imaging of Meta-Shells: Noisy Scattering Data

Gregory Samelsohn
Methane Hydrates and Related Phenomena
article

Tomographic Imaging of Meta-Shells: Noisy Scattering Data

Gregory Samelsohn
article en

Abstract

In this contribution, we review our recent results and some new ideas concerning both direct and (mainly) inverse wave scattering by meta-shells, i.e., closed, generally semi-transparent metasurfaces. It is shown that these meta-shells can be characterized by a singular potential. In the most general case of Huygens' metasurfaces with magneto-electric coupling, the wave scattering is described by a four-parameter family of point interactions, derived previously within 1D quantum mechanics. A linear non-iterative inversion algorithm is used to recover the support of the scattering potential, and therefore, the shape of the meta-shell. Special attention is devoted to the impact of noise on the image quality. Performing a number of 2D simulations, it is shown that the inversion algorithm is extremely robust, as the recovery of arbitrary meta-shells is achieved even when the true signal is well below the noise floor in the scattering data.

Sami Shamoon College of Engineering (IL)
Openalex Percentile: Top 90%
Methane Hydrates and Related Phenomena
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