Speaker
Diego Tonelli
(CERN)
Description
We present the results of an R\&D study for a specialized processor capable of precisely reconstructing events with hundreds of charged-particle tracks in pixel detectors
at 40 MHz, thus suitable for processing LHC events at the full crossing frequency. For this purpose we design and test a massively parallel pattern-recognition algorithm, inspired by studies of the processing of visual images by the brain as it happens in nature. We find that high-quality tracking in large detectors is possible with sub-microsecond latencies if the algorithm is implemented in modern, high-speed, high-bandwidth FPGA devices.
Primary author
Diego Tonelli
(CERN)
Co-authors
Alessio Piucci
(Sezione di Pisa (IT))
Andrea Abba
(Università degli Studi e INFN Milano (IT))
Angelo Geraci
(Politecnico di Milano & INFN Milano)
Daniele Ninci
(INFN Pisa)
Francesco Caponio
(Università degli Studi e INFN Milano (IT))
Dr
Franco Bedeschi
(Sezione di Pisa (IT))
Franco Spinella
(Sezione di Pisa (IT))
Giovanni Punzi
(Sezione di Pisa (IT))
Luciano Ristori
(INFN and Fermilab)
Marco Petruzzo
(INFN Milano)
Mauro Citterio
(Università degli Studi e INFN Milano (IT))
Michael Joseph Morello
(SNS and INFN-Pisa)
Nicola Neri
(Università degli Studi e INFN Milano (IT))
Pietro Marino
(Sezione di Pisa (IT))
Simone Stracka
(Sezione di Pisa (IT))
alberto
(Politecnico di Milano & INFN Milano)
