Taming frequency in Bayesian inverse wave scattering

Inverse wave scattering is a powerful technique for exploring the surroundings: a wave - such as sound or light - is sent to an inaccessible area, on which information is gathered by measuring the returning signal. However, since measurements are inevitably affected by noise, a natural question arises: how reliable is the reconstruction? Answering this is especially challenging with high frequency waves, which allow to detect more details but are also more sensitive to noise. This project develops advanced computational methods to quantify the reliability of inverse scattering reconstructions at high frequencies.