Open Access
Issue
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
Article Number 01311
Number of page(s) 7
DOI https://doi.org/10.1051/epjconf/202533701311
Published online 07 October 2025
  1. LHCb Collaboration, The LHCb Upgrade I. Journal of Instrumentation 19, P05065 (2024). https://doi.org/10.1088/1748-0221/19/05/P05065 [Google Scholar]
  2. LHCb Collaboration, LHCb Trigger and Online Upgrade Technical Design Report (CERN, Geneva, 2014). http://dx.doi.org/10.17181/CERN.5F5X.FDJM [Google Scholar]
  3. G. Bassi et al., A FPGA-Based Architecture for Real-Time Cluster Finding in the LHCb Silicon Pixel Detector. IEEE Transactions on Nuclear Science 70, 6, 1189–1201 (2023). https://doi.org/10.1109/TNS.2023.3273600 [Google Scholar]
  4. W. Adam et al., Beam test performance of prototype silicon detectors for the Outer Tracker for the Phase-2 Upgrade of CMS. JINST 15, P03014 (2020). https://doi.org/10. 1088/1748-0221/15/03/P03014 [Google Scholar]
  5. L. Ristori, An artificial retina for fast track finding. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 453, 1, 425–429 (2000). https://doi.org/10.1016/S0168-9002(00)00676-8 [Google Scholar]
  6. P. Hough, Machine Analysis of Bubble Chamber Pictures. Proc. Int. Conf. High Energy Accelerators and Instrumentation C590914, 554–558 (1959). https://inspirehep.net/literature/919922 [Google Scholar]
  7. W. Baldini et al., Proposal for FPGA-based tracking in the LHCb downstream region (CERN, Geneva, 2014). https://cds.cern.ch/record/2888549 [Google Scholar]
  8. F. Lazzari et al., Demonstration of track reconstruction with FPGAs on live data at LHCb. EPJ Web Conferences 295, 02009 (2024). https://doi.org/10.1051/epjconf/202429502009 [Google Scholar]
  9. LHCb Collaboration, LHCb VELO Upgrade Technical Design Report (CERN, Geneva, 2013). http://dx.doi.org/10.17181/CERN.4DGI.MZN4 [Google Scholar]
  10. G. Tuci and G. Punzi, Reconstruction of track candidates at the LHC crossing rate using FPGAs. EPJ Web Conferences 245, 10001 (2020). https://doi.org/10.1051/epjconf/202024510001 [Google Scholar]
  11. Bittware, 520N product page (2023). https://web.archive.org/web/20230603104042/https://www.bittware.com/products/520n/ [Google Scholar]
  12. G. Corti et al., Software for the LHCb experiment. IEEE Transactions on Nuclear Science 53, 3, 1323–1328 (2006). https://doi.org/10.1109/TNS.2006.872627 [Google Scholar]
  13. LHCb Collaboration, LHCb Data Acquisition Enhancement TDR (CERN, Geneva, 2024). http://dx.doi.org/10.17181/CERN.L9E7.N06X [Google Scholar]

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