2 papers
hep-ex2026
Using Graph Neural Networks for the segmentation of overlapping objects in high granularity calorimeters
Matthieu Melennec, Frédéric Magniette
High-granularity calorimeters at the High-Luminosity LHC require novel algorithms to resolve overlapping particle showers. We present an optimised Graph Neural Network (GNN) segmen…
hep-ex2025
Optimised Graph Convolution for Calorimetry Event Classification
Matthieu Melennec, Shamik Ghosh, Frédéric Magniette
In the recent years, high energy physics discoveries have been driven by the increasing of luminosity and/or detector granularity. This evolution gives access to bigger statistics…