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  • G. Bassi et al., A FPGA-Based Architecture for Real-Time Cluster Finding in the LHCb Silicon Pixel Detector, IEEE Transactions on Nuclear Science, vol.70, no.6, pp.1189-1201, 2023. DOI: 10.1109/TNS.2023.3273600
  • ACAT 2022, G. Tuci, Real-time tracking on FPGAs at LHCb, Bari (Italy).
  • TWEPP 2021, F. Lazzari, FPGA-based real-time data processing for accelerating reconstruction at LHCb, Virtual.
  • CHEP 2021, G. Bassi, A real-time FPGA-based cluster finding algorithm for LHCb silicon pixel detector, Virtual.
  • 2020, F. Lazzari et al., An optical network for accelerating real-time tracking with FPGAs, CTD 2020, Virtual. Link here.
  • 2019 - G. Punzi et al., Real-time reconstruction of pixel vertex detectors with FPGAs, Vertex 2019, Lopud (Croatia). Link here.
  • 2019 - M.J. Morello et al., Real-time reconstruction of long-lived particles at LHCb using FPGAs, ACAT 2019, Saas Fee (Switzerland). Link here.
  • 2019 - F. Lazzari et al., Real-time cluster finding for LHCb silicon pixel VELO detector using FPGA, ACAT 2019, Saas Fee (Switzerland). Link here.
  • 2018 - F. Lazzari et al, Performance of a high-throughput tracking processor implemented on Stratix-V FPGA, Pisa Meeting 2018, https://doi.org/10.1016/j.nima.2018.08.025 .
  • 2017 - R. Cenci et al., Development of a High-Throughput Tracking Processor on FPGA Boards, TWEPP 17, https://pos.sissa.it/313/136/ .
  • 2016 - R. Cenci et al. First results of an "artificial retina" processor prototype, MOCAST 2016, https://doi.org/10.1109/MOCAST.2016.7495111.
  • 2016 - R, Cenci et al, First Results of an “Artificial Retina” Processor Prototype, EPJ Web Conf. 127 (2016) 00005.
  • 2016 - MJ. Morello et al, Real-time track reconstruction during readout using an artificial retina architecture, DOI: 10.1109/NSSMIC.2016.8069933.
  • 2016 - R.Cenci et al., An artificial retina processor for track reconstruction at the full LHC crossing rate Nucl. Instrum. Meth. A 824, 260 (2016).
  • 2016 - P .Marino et. al, The artificial retina for track reconstruction at the LHC crossing rate, Nucl.Part.Phys.Proc. 273-275 (2016) 2488-2490.
  • 2015 - N. Neri et al., First results of the silicon telescope using an 'artificial retina' for fast track finding, DOI: 10.1109/ANIMMA.2015.7465644
  • 2015 - D.Tonelli et al., The artificial retina processor for track reconstruction at the LHC crossing rate, JINST 10, 03, C03018 (2015).
  • 2015 P.Marino et al., Simulation and performance of an artificial retina for 40 MHz track reconstruction, JINST 10, 03, C03008 (2015).
  • 2014 - N. Neri et al., First prototype of a silicon tracker using an 'artificial retina' for fast track finding, PoS TIPP 2014, 199 (2014).
  • 2014 - F. Caponio et al, `The readout architecture for the retina-based, Cosmic Ray Telescope, DOI: 10.1109/RTC.2014.7097516
  • 2014 - A. Abba et al., A retina-based cosmic rays telescope, DOI: 10.1109/RTC.2014.7097515.
  • 2014 - G. Punzi et al., A Specialized Processor for Track Reconstruction at the LHC Crossing Rate,JINST 9, C09001 (2014).