Speaker
Description
As part of the ErUM-FSP APPA, this project will advance Ion-Bunch Energy Acoustic Tracing (I-BEAT) from qualitative single-shot monitoring towards quantitative ion-energy diagnostics in structured solid detector media. Building on previous work with water-based detectors and solid moderators, we have recently demonstrated that layered solid volumes, initially composed of aluminium and PEEK, generate acoustic signals with well-defined carrier frequencies. These frequencies correspond to the fundamental acoustic resonances of the individual layers and provide a robust signature of ion-induced energy deposition. This establishes the layered I-BEAT concept, termed TIMBRE, as a compact and vacuum-compatible diagnostic approach for laser-driven and conventionally accelerated ion bunches.
The next funding period will focus on solving the inverse reconstruction problem: deriving quantitative ion-energy distributions and deposited-dose profiles from the measured acoustic response of the layered detector. While qualitative dose monitoring has been demonstrated and the relevant material, acoustic and detector parameters are now well constrained, accurate reconstruction remains non-trivial. We will therefore develop a model-based machine-learning framework that combines physical forward modelling with data-driven inversion. The central benchmark will be the agreement between TIMBRE-reconstructed deposited dose and radiochromic-film stack measurements, aiming for quantitative consistency at the 10% level.