Dr. Salvatore Di Carlo (FRIB)

Abstract: The Large Angle Beamstrahlung Monitor (LABM) at SuperKEKB measures 32 independent values, with different optical properties, that are directly related to the size and position of the beams at the Interaction Point (IP). In this framework, the LABM can be extremely useful to monitor the beams and correct them in case they show an unwanted behavior that can cause luminosity degradation. One of the challenges of the LABM is to relate these 32 measurements to observables of interest. In this seminar, a Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung using experimental data is presented. The results presented constitute an experimental validation for both the LABM and, more in general, for machine learning models applied to the first particle accelerator using the nano-beam scheme.