Cargando…
Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain
Applying graph-based techniques, and graph neural networks (GNNs) in particular, has been shown to be a promising solution to the high-occupancy track reconstruction problems posed by the upcoming HL- LHC era. Simulations of this environment present noisy, heterogeneous and ambiguous data, which pre...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2876457 |