Machine Learning methods for event classification and vertex reconstruction of the 12C + 12C reaction with the MATE-TPC

ArXi:2605.28296v1 Announce Type: new In modern nuclear physics experiments, identifying events of interest is challenging for nuclear reaction studies with the active target Time Projection Chamber (TPC). In this work, machine learning techniques are employed to analyze the complex data of the 12C + 12C fusion reaction from a TPC named MATE (multi-purpose active-target time projection chamber for nuclear experiments