Low Level Machine Learning for the ALPHA-g Detector

This project focuses on the development of a machine learning model designed to trigger the Data Acquisition (DAQ) mechanism for the ALPHA-g experiment. Employing a machine learning model to quickly distinguish if the event was generated by a cosmic ray or an antihydrogen annihilation before acquiring the data would increase the signal-to-noise ratio of the system.