Project RETINA

Ph.D THESES

• 2023 - Giovanni Bassi, A FPGA-based architecture for real-time cluster finding in the LHCb silicon pixel detector.
• 2022 - Federico Lazzari, Improving charm CPV measurements with real-time data reconstruction.
• 2021 - Giulia Tuci, Searching for confirmation of charm CP violation in K0S final states at LHCb.
  

MASTER THESES (Laurea Magistrale)

• 2023 - Giulio Cordova, In progress.
  
• 2022 - Fabio Novissimo, Real-time reconstruction of tracks with RETINA algorithm at LHCb.
  • Advisors: G. Punzi, G. Tuci.
    
• 2022 - Daniele Passaro, Real-time luminosity and detector monitoring using FPGAs at LHCb experiment.
  
  • Advisors: G. Punzi.
• 2022 - Marco Sticchi, Real-time Data analysis at LHCb with heterogeneous computing achitectures.
  • Advisors: G. Punzi.
• 2019 - Luca Giambastiani, A 2D FPGA-based clustering algorithm for the LHCb silicon pixel detector running at 30 MHz.
  • Advisor: M.J. Morello.
• 2018 - Andrea Di Luca, Real-time reconstruction of tracks in the Scintillating Fibre Tracker of the LHCb Upgrade.
  • Advisor: M.J. Morello.
• 2017 - Federico Lazzari, Development of a real-time tracking device for the LHCb Upgrade 1b.
  • Advisors: G. Punzi, R. Cenci.
• 2014 - Daniele Ninci, Ricostruzione di traccia in tempo reale su FPGA ad LHC.
  • Advisors: G. Punzi, F. Spinella, R.Cenci.
• 2014 - Alessio Piucci, Reconstruction of tracks in real-time at high luminosity environment at LHC.
  • Advisors: G. Punzi, M.J.Morello.

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