Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning
This paper introduces the Mixed-representation Calorimetric Network (MrCAL), a physics-inspired deep learning model that significantly enhances antineutron reconstruction in electromagnetic calorimeters by achieving up to 96% improvement in momentum-direction precision and enabling the first direct measurement of momentum magnitude solely from ECAL readouts.