Real-time cluster finding for LHCb silicon pixel VELO detector using FPGA. (April 2020)

• Record Type: Journal Article
• Authors: Lazzari, Federico; Bassi, Giovanni; Cenci, Riccardo; Morello, Michael J; Punzi, Giovanni
• Is Part Of: Journal of physics. Volume 1525(2020)
• Publication Date: 2020-04
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1525/1/012044
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In the Run-3 of LHCb, the High Level Trigger will have to process events at full LHC collision rate (30 MHz). This is a very challenging goal, and delegating some low-level tasks to FPGA accelerators can be very helpful by saving precious computing time. In particular, the 2D pixel geometry of the new LHCb VELO detector makes the cluster-finding process particularly CPU-time demanding. We realized and tested a highly parallel FPGA-based clustering algorithm, capable of performing this reconstruction in real time at 30 MHz event rate using a modest amount of hardware resources, that can be a viable alternative solution.