Meier, D.; Viefhaus, J.; Helml, W.; Otto, T.; Sick, B.; Hartmann, G.: Reconstructing time-of-flight detector values of angular streaking using machine learning. Physical Review Accelerators and Beams 28 (2025), p. 074601/1-21
10.1103/csvm-858f
Open Access Version
Abstract:
Angular streaking experiments enable for experimentation in the attosecond regions. However, the deployed time-of-flight (TOF) detectors are susceptible to noise and failure. These shortcomings make the outputs of the TOF detectors hard to understand for humans and further processing, such as, for example, the extraction of beam properties. In this article, we present an approach to remove high noise levels and reconstruct up to three failed TOF detectors from an arrangement of 16 TOF detectors. Due to its fast evaluation time, the presented method is applicable online during a running experiment. It is trained with simulation data, and we show the results of denoising and reconstruction of our method on real-world experiment data.