Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01346 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701346 | |
| Published online | 07 October 2025 | |
- ATLAS Collaboration, The ATLAS experiment at the CERN Large Hadron Collider, Journal of Instrumentation 3, S08003 (2008), https://dx.doi.org/10.1088/1748-0221/3/08/S08003 [Google Scholar]
- ATLAS Collaboration, ATLAS Phase-II Upgrade Scoping Document, CERN-LHCC-2015-020, LHCC-G-166 (2015), https://cds.cern.ch/record/2055248 [Google Scholar]
- ATLAS Collaboration, Technical Design Report for the ATLAS Inner Tracker Pixel Detector, CERN-LHCC-2017-021, ATLAS-TDR-030 (2017), https://dx.doi.org/10.17181/CERN.FOZZ.ZP3Q [Google Scholar]
- ATLAS Collaboration, Expected Tracking Performance of the ATLAS Inner Tracker at the High-Luminosity LHC (2024), https://arxiv.org/abs/2412.15090 [Google Scholar]
- ATLAS Collaboration, Software Performance of the ATLAS Track Reconstruction for LHC Run 3, Computing and Software for Big Science 8, 9 (2024), https://doi.org/10.1007/s41781-023-00111-y [Google Scholar]
- X. Ai et al., A Common Tracking Software Project, Computing and Software for Big Science 6, 8 (2022), https://doi.org/10.1007/s41781-021-00078-8 [CrossRef] [Google Scholar]
- ATLAS Collaboration, ATLAS Software and Computing HL-LHC Roadmap, CERN-LHCC-2022-005, LHCC-G-182 (2022), https://cds.cern.ch/record/2802918 [Google Scholar]
- A. Adare et al., An Upgrade Proposal from the PHENIX Collaboration (2015), https://arxiv.org/abs/1501.06197 [Google Scholar]
- J. D. Osborn, Requirements, Status, and Plans for Track Reconstruction at the sPHENIX Experiment (2020), https://arxiv.org/abs/2007.00771 [Google Scholar]
- J. D. Osborn et al., Implementation of ACTS into sPHENIX Track Reconstruction, Computing and Software for Big Science 5, 23 (2021), http://dx.doi.org/10.1007/s41781-021-00068-w [CrossRef] [Google Scholar]
- P. Bechtle et al., A Proposal for the Lohengrin Experiment to Search for Dark Sector Particles at the ELSA Accelerator (2024), https://arxiv.org/abs/2410.10956 [Google Scholar]
- FASER Collaboration, FASER: ForwArd Search ExpeRiment at the LHC (2019), https://arxiv.org/abs/1901.04468 [Google Scholar]
- ATLAS Collaboration, Expected Tracking Performance of the ATLAS Inner Tracker at the HL-LHC, ATL-PHYS-PUB-2019-014 (2019), https://cds.cern.ch/record/2669540 [Google Scholar]
- R. Frühwirth, Application of Kalman filtering to track and vertex fitting, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 262, 444 (1987), https://doi.org/10.1016/0168-9002(87) 90887-4 [Google Scholar]
- A. Buckley et al., Implementation of the ATLAS Run 2 event data model, J. Phys.: Conf. Ser. 664, 072045 (2015), http://dx.doi.org/10.1088/1742-6596/664/7/072045 [CrossRef] [Google Scholar]
- P. Gessinger, Flexible, robust and minimal-overhead Event Data Model for track reconstruction in ACTS, EPJ Web of Conferences 295, 03015 (2024), https://doi.org/10.1051/epjconf/202429503015 [Google Scholar]
- J. Hoshen and R. Kopelman, Percolation and cluster distribution. I. Cluster multiple labeling technique and critical concentration algorithm, Phys. Rev. B. 14, 3438 (1976), https://dx.doi.org/10.1103/PhysRevB.14.3438 [Google Scholar]
- C. Allaire et al., CTD2023: Seed Finding in the ACTS Software Package: Algorithms and Optimizations., Connecting The Dots Workshop 2023 (CTD2023), Zenodo (2024), https://dx.doi.org/10.5281/zenodo.14246396 [Google Scholar]
- ATLAS Collaboration, Initial improvements to the CPU performance for the ACTS-based track reconstruction software for ATLAS during the HL-LHC, ATL-PHYS-PUB-2024-017 (2024), https://cds.cern.ch/record/2912217 [Google Scholar]
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