Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01301 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701301 | |
| Published online | 07 October 2025 | |
- S. Farrell et al., Novel deep learning methods for track reconstruction (2018). 10.48550/arXiv.1810.06111 [Google Scholar]
- C. Biscarat et al., Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC, EPJ Web Conf. 251, 03047 (2021). 10.1051/epjconf/202125103047 [Google Scholar]
- H. Torres et al. on behalf of the ATLAS Collaboration, Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain (2024), https://doi.org/10.5281/zenodo.15178159 [Google Scholar]
- ATLAS Collaboration, Tech. rep., CERN, Geneva (2024), https://cds.cern.ch/record/2914282 [Google Scholar]
- P. Gessinger-Befurt, A. Salzburger, J. Niermann, The open data detector tracking system, Journal of Physics: Conference Series 2438, 012110 (2023). 10.1088/1742-6596/2438/1/012110 [Google Scholar]
- X. Ai et al., A Common Tracking Software (ACTS) (2023), https://acts. readthedocs.io/en/latest/ [Google Scholar]
- S. Agostinelli et al., Geant4 – a simulation toolkit, Nucl. Instrum. Meth. A 506, 250 (2003). 10.1016/S0168-9002(03)01368-8 [CrossRef] [Google Scholar]
- Z. Zhang, An efficient algorithm for “connected components” (2022), https://zpz. github.io/blog/connected-components/ [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

