AI-assisted digital laser frequency stabilization for atomic spectroscopy
High precision measurements in quantum optics and atomic physics rely on the fine control of the experimental parameters and require the locking stabilisation of the frequency of the transmitted signal. This project entails the design, development and characterization of a loop-back control system and digital controller for laser frequency stabilization. The hardware will be based on a RedPitaya STEMlab platform and will be used to lock the laser emission frequency to the cavity resonance of reference and spectral peak maximum for Doppler-free absorption spectroscopy experiments with Rubidium. The student will employ machine learning methods for analysis and optimisation of the interfacing and acquisition of the emission spectra for atomic vapor saturated absorption spectroscopy experiments.