AI Article Synopsis
- The model manifold is a geometric tool in information geometry that helps assess the information content of modeling parameters.
- In shallow ocean environments, transmission loss (TL) is analyzed using a vertical line array, with model manifolds created for both absolute and relative TL.
- The study finds that relative TL results in more compact model manifolds, indicating less distinct seabed environments compared to absolute TL, showcasing how model manifolds can enhance experimental design in inverse problem contexts.
Article Abstract
The model manifold, an information geometry tool, is a geometric representation of a model that can quantify the expected information content of modeling parameters. For a normal-mode sound propagation model in a shallow ocean environment, transmission loss (TL) is calculated for a vertical line array and model manifolds are constructed for both absolute and relative TL. For the example presented in this paper, relative TL yields more compact model manifolds with seabed environments that are less statistically distinguishable than manifolds of absolute TL. This example illustrates how model manifolds can be used to improve experimental design for inverse problems.
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| http://dx.doi.org/10.1121/10.0026449 | DOI Listing |
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