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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 40 MHz. The processor applies a highly parallel pattern-recognition algorithm inspired to quick detection of...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.nima.2015.10.048 http://cds.cern.ch/record/2262291 |
| _version_ | 1780954106882424832 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Abba, A |
| collection | CERN |
| description | 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. |
| id | oai-inspirehep.net-1458061 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2016 |
| record_format | invenio |
| spelling | oai-inspirehep.net-14580612020-08-28T12:57:11Zdoi:10.1016/j.nima.2015.10.048http://cds.cern.ch/record/2262291engAbba, ABedeschi, FCaponio, FCenci, RCitterio, MCusimano, AFu, JGeraci, AGrizzuti, MLusardi, NMarino, PMorello, M JNeri, NNinci, DPetruzzo, MPiucci, APunzi, GRistori, LSpinella, FStracka, STonelli, DWalsh, JAn 'artificial retina' processor for track reconstruction at the full LHC crossing rateDetectors and Experimental TechniquesWe 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.FERMILAB-PUB-16-184-CMSoai:inspirehep.net:14580612016 |
| spellingShingle | Detectors and Experimental Techniques 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 An 'artificial retina' processor for track reconstruction at the full LHC crossing rate |
| title | An 'artificial retina' processor for track reconstruction at the full LHC crossing rate |
| title_full | An 'artificial retina' processor for track reconstruction at the full LHC crossing rate |
| title_fullStr | An 'artificial retina' processor for track reconstruction at the full LHC crossing rate |
| title_full_unstemmed | An 'artificial retina' processor for track reconstruction at the full LHC crossing rate |
| title_short | An 'artificial retina' processor for track reconstruction at the full LHC crossing rate |
| title_sort | 'artificial retina' processor for track reconstruction at the full lhc crossing rate |
| topic | Detectors and Experimental Techniques |
| url | https://dx.doi.org/10.1016/j.nima.2015.10.048 http://cds.cern.ch/record/2262291 |
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