Separating charm and bottom decay electrons with point-cloud deep learning on the charged-hadron environment

Electrons from semi-leptonic decays of charm ($D$) and bottom ($B$) hadrons are important probes in high-energy collisions, while their separation remains challenging due to the similarity of the underlying decay topologies. In this work, the charged-hadron environment associated with each electron