Thesis

Recent developments at GANIL have demonstrated the opportunities opened by AI methods for trajectory reconstruction, particle identification and self-supervised detector calibration in the VAMOS++ magnetic spectrometer and associated detectors for fission studies.
This PhD project will extend these advances into an integrated framework for intelligent instrumentation, combining calibration, reconstruction, and performance monitoring. The objective is to develop robust, scalable and transferable methods that adapt to changing experimental conditions while preserving the reliability of physical observables.