most citedTowards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC

19 citations · 20 across the 2 of their papers we have counts for

collaborators

2 papers

physics.ins-det2022★ 1 cited

Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline

Chun-Yi Wang, Xiangyang Ju, Shih-Chieh Hsu +22

Particle tracking is a challenging pattern recognition task at the Large Hadron Collider (LHC) and the High Luminosity-LHC. Conventional algorithms, such as those based on the Kalm…

physics.ins-det2021★ 19 cited

Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC

Catherine Biscarat, Sylvain Caillou, Charline Rougier +2

The physics reach of the HL-LHC will be limited by how efficiently the experiments can use the available computing resources, i.e. affordable software and computing are essential.…