This project aims to use a machine learning algorithm to perform beam alignment in an optics experiment. It would involve mode-matching two optical beams using motorised mirror mounts. Additional degrees of freedom like lens positions and beam polarisation can be added later.

Machine learning based on deep neural networks is a powerful method for improving the performance of experiments.  It may also be useful for finding new physics.