A Specialized Processor for Track Reconstruction at the LHC Crossing Rate

We present the results of an R&D study of 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 massiv...

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Detalles Bibliográficos
Autores principales: Abba, A., Bedeschi, F., Citterio, M., Caponio, F., Cusimano, A., Geraci, A., Marino, P., Morello, M.J., Neri, N., Punzi, G., Piucci, A., Ristori, L., Spinella, F., Stracka, S., Tonelli, D.
Lenguaje:eng
Publicado: 2014
Materias:
physics.ins-det
Acceso en línea:https://dx.doi.org/10.1088/1748-0221/9/09/C09001
http://cds.cern.ch/record/1712406
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author Abba, A.
Bedeschi, F.
Citterio, M.
Caponio, F.
Cusimano, A.
Geraci, A.
Marino, P.
Morello, M.J.
Neri, N.
Punzi, G.
Piucci, A.
Ristori, L.
Spinella, F.
Stracka, S.
Tonelli, D.
author_facet Abba, A.
Bedeschi, F.
Citterio, M.
Caponio, F.
Cusimano, A.
Geraci, A.
Marino, P.
Morello, M.J.
Neri, N.
Punzi, G.
Piucci, A.
Ristori, L.
Spinella, F.
Stracka, S.
Tonelli, D.
author_sort Abba, A.
collection CERN
description We present the results of an R&D study of 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-$\mu$s latencies when this algorithm is implemented in modern, high-speed, high-bandwidth FPGA devices. This opens a possibility of making track reconstruction happen transparently as part of the detector readout.
id cern-1712406
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2014
record_format invenio
spelling cern-17124062022-08-10T20:21:07Zdoi:10.1088/1748-0221/9/09/C09001http://cds.cern.ch/record/1712406engAbba, A.Bedeschi, F.Citterio, M.Caponio, F.Cusimano, A.Geraci, A.Marino, P.Morello, M.J.Neri, N.Punzi, G.Piucci, A.Ristori, L.Spinella, F.Stracka, S.Tonelli, D.A Specialized Processor for Track Reconstruction at the LHC Crossing Ratephysics.ins-detWe present the results of an R&D study of 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-$\mu$s latencies when this algorithm is implemented in modern, high-speed, high-bandwidth FPGA devices. This opens a possibility of making track reconstruction happen transparently as part of the detector readout.We present the results of an R&D study of 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-μs latencies when this algorithm is implemented in modern, high-speed, high-bandwidth FPGA devices. This opens a possibility of making track reconstruction happen transparently as part of the detector readout.We present the results of an R&D study of 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-$\mu$s latencies when this algorithm is implemented in modern, high-speed, high-bandwidth FPGA devices. This opens a possibility of making track reconstruction happen transparently as part of the detector readout.arXiv:1406.7220oai:cds.cern.ch:17124062014-06-27
spellingShingle physics.ins-det
Abba, A.
Bedeschi, F.
Citterio, M.
Caponio, F.
Cusimano, A.
Geraci, A.
Marino, P.
Morello, M.J.
Neri, N.
Punzi, G.
Piucci, A.
Ristori, L.
Spinella, F.
Stracka, S.
Tonelli, D.
A Specialized Processor for Track Reconstruction at the LHC Crossing Rate
title A Specialized Processor for Track Reconstruction at the LHC Crossing Rate
title_full A Specialized Processor for Track Reconstruction at the LHC Crossing Rate
title_fullStr A Specialized Processor for Track Reconstruction at the LHC Crossing Rate
title_full_unstemmed A Specialized Processor for Track Reconstruction at the LHC Crossing Rate
title_short A Specialized Processor for Track Reconstruction at the LHC Crossing Rate
title_sort specialized processor for track reconstruction at the lhc crossing rate
topic physics.ins-det
url https://dx.doi.org/10.1088/1748-0221/9/09/C09001
http://cds.cern.ch/record/1712406
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