Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama +1

We explore the use of graph networks to deal with irregular-geometry detectors in the context of particle reconstruction. Thanks to their representation-learning capabilities, grap…