Ponente
Sr.
Pietro Marino
(Scuola Normale Superiore and INFN Pisa)
Descripción
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 and silicon strip 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 to the current understanding of the mechanisms adopted by the primary visual cortex of mammals in the early stages of visual-information processing.
The detailed geometry and charged-particle's activity of a large tracking detector are simulated and used to assess the performance of the artificial retina algorithm. We find that high-quality tracking in large detectors is possible with sub-microsecond latencies when the algorithm is implemented in modern, high-speed, high-bandwidth FPGA.
devices.
Autor primario
Dr.
Michael Joseph Morello
(Scuola Normale Superiore and INFN Pisa)
Coautores
A. Cusimano
(Politecnico di Milano and INFN Milano)
Alessio Piucci
(Università di Pisa and INFN Pisa)
Dr.
Andrea Abba
(Università degli Studi and INFN Milano)
Prof.
Angelo Geraci
(Politecnico di Milano and INFN Milano)
Daniele Ninci
(Università di Pisa and INFN Pisa)
Dr.
Diego Tonelli
(CERN)
Federica Lionetto
(INFN Pisa)
Dr.
Francesco Caponio
(INFN Milano)
Dr.
Franco Bedeschi
(INFN Pisa)
Dr.
Franco Spinella
(INFN Pisa)
Prof.
Giovanni Punzi
(Università di Pisa and INFN Pisa)
Dr.
John Walsh
(INFN Pisa)
Dr.
Luciano Ristori
(Fermilab and INFN Pisa)
Marco Petruzzo
(Università di Milano and INFN Milano)
Dr.
Mauro Citterio
(Università di Milano and INFN Milano)
Dr.
Nicola Neri
(INFN Milano)
Sr.
Pietro Marino
(Scuola Normale Superiore and INFN Pisa)
Dr.
Simone Stracka
(Scuola Normale Superiore and INFN Pisa)
