Positive-energy D-bar method for acoustic tomography: a computational study
Maarten de Hoop, Matti Lassas, Matteo Santacesaria, Samuli Siltanen, and Janne P. Tamminen

TL;DR
This paper introduces a computational D-bar method for acoustic tomography that effectively reconstructs potentials at positive energies, demonstrating robustness and accuracy through numerical simulations.
Contribution
It develops a new D-bar based reconstruction technique that operates without exceptional points for positive energy acoustic tomography.
Findings
Method works well for energies between 10^{-5} and 5.
Reconstruction accuracy improves at smaller energy values.
Numerical tests confirm robustness against noise.
Abstract
A new computational method for reconstructing a potential from the Dirichlet-to-Neumann map at positive energy is developed. The method is based on D-bar techniques and it works in absence of exceptional points -- in particular, if the potential is small enough compared to the energy. Numerical tests reveal exceptional points for perturbed, radial potentials. Reconstructions for several potentials are computed using simulated Dirichlet-to-Neumann maps with and without added noise. The new reconstruction method is shown to work well for energy values between and , smaller values giving better results.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
