CERN Accelerating science

Published Articles
Report number	FERMILAB-PUB-16-184-CMS
Title	An 'artificial retina' processor for track reconstruction at the full LHC crossing rate
Author(s)	Abba, A (INFN, Milan ; Milan Polytechnic) ; Bedeschi, F (INFN, Pisa) ; Caponio, F (INFN, Milan ; Milan Polytechnic) ; Cenci, R (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Citterio, M (INFN, Milan) ; Cusimano, A (INFN, Milan ; Milan Polytechnic) ; Fu, J (INFN, Milan) ; Geraci, A (INFN, Milan ; Milan Polytechnic) ; Grizzuti, M (INFN, Milan ; Milan Polytechnic) ; Lusardi, N (INFN, Milan ; Milan Polytechnic) ; Marino, P (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Morello, M J (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Neri, N (INFN, Milan) ; Ninci, D (INFN, Pisa ; Pisa U.) ; Petruzzo, M (INFN, Milan ; Milan U.) ; Piucci, A (INFN, Pisa ; Pisa U.) ; Punzi, G (INFN, Pisa ; Pisa U.) ; Ristori, L (Fermilab) ; Spinella, F (INFN, Pisa) ; Stracka, S (INFN, Pisa ; Pisa U.) ; Tonelli, D (CERN) ; Walsh, J (INFN, Pisa)
Publication	2016
Number of pages	3
In:	Nucl. Instrum. Methods Phys. Res., A 824 (2016) 260-262
In:	Frontier Detectors for Frontier Physics: 13th Pisa Meeting on Advanced Detectors, La Biodola, Isola D'elba, Italy, 24 - 30 May 2015, pp.260-262
DOI	10.1016/j.nima.2015.10.048
Subject category	Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; CMS
Abstract	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.
Copyright/License	Elsevier B.V.

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