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

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 40MHz. The processor applies a highly parallel pattern-recognition algorithm inspired to quick detection of e...

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Published inNuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Vol. 824; pp. 260 - 262
Main Authors 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.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 11.07.2016
Subjects
Algorithms
Detectors
Devices
Mammals
Microprocessors
Pattern recognition
Real-time online tracking
Reconstruction
Spectrometers
Tracking
Trigger
Real-time online tracking
Trigger
Pattern recognition
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Summary: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 40MHz. 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 40MHz with sub-microsecond latency, we are implementing a prototype using common high-bandwidth FPGA devices.
Bibliography:ObjectType-Article-1
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ISSN:0168-9002
1872-9576
DOI:10.1016/j.nima.2015.10.048