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physics.data-an2025
Physics and Computing Performance of the EggNet Tracking Pipeline
Jay Chan, Brandon Wang, Paolo Calafiura
Particle track reconstruction is traditionally computationally challenging due to the combinatorial nature of the tracking algorithms employed. Recent developments have focused on…
physics.data-an2024
EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction
Paolo Calafiura, Jay Chan, Loic Delabrouille +1
Track reconstruction is a crucial task in particle experiments and is traditionally very computationally expensive due to its combinatorial nature. Recently, graph neural networks…