An "artificial retina" processor for track reconstruction at the full LHC crossing rate

作者：Abba A; Bedeschi F; Caponio F; Cenci R^*; Citterio M; Cusimano A; Fu J; Geraci A; Grizzuti M; Lusardi N; Marino P; Morello M J; Neri N; Ninci D; Petruzzo M; Piucci A; Punzi G; Ristori L; Spinella F; Stracka S; Tonelli D; Walsh J

来源：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , 2016, 824: 260-262.

DOI：10.1016/j.nima.2015.10.048

• Pattern recognition
• Trigger
• Real-time online tracking

We present the latest results of an R&D study for a specialized processor capable of reconstructing, in a silicon pixel detector, high-quality tracks from high-energy collision events at 40 MHz. The processor applies a highly parallel pattern-recognition algorithm inspired to quick detection of edges in mammals visual cortex. After a detailed study of a real-detector application, demonstrating that online reconstruction of offline-quality tracks is feasible at 40 MHz with sub-microsecond latency, we are implementing a prototype using common high-bandwidth FPGA devices.

• 出版日期2016-7-11