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

Bedeschi, F.; Cenci, R.; Marino, P.; Morello, M. J.; Ninci, D.; Piucci, A.; Punzi, G.; Ristori, L.; Spinella, F.; Stracka, S.; Tonelli, D.; Walsh, J.

doi:10.1088/1742-6596/898/3/032038

Title: An artificial retina processor for track reconstruction at the LHC crossing rate

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Abstract

The goal of the INFN-RETINA R&D project is to develop and implement a computational methodology that allows to reconstruct events with a large number (> 100) of charged-particle tracks in pixel and silicon strip detectors at 40 MHz, thus matching the requirements for processing LHC events at the full bunch-crossing frequency. Our approach relies on a parallel pattern-recognition algorithm, dubbed artificial retina, inspired by the early stages of image processing by the brain. In order to demonstrate that a track-processing system based on this algorithm is feasible, we built a sizable prototype of a tracking processor tuned to 3 000 patterns, based on already existing readout boards equipped with Altera Stratix III FPGAs. The detailed geometry and charged-particle activity of a large tracking detector currently in operation are used to assess its performances. Here, we report on the test results with such a prototype.

Authors:

Bedeschi, F. ^[1]; Cenci, R. ^[2]; Marino, P. ^[2]; Morello, M. J. ^[2]; Ninci, D. ^[3]; Piucci, A. ^[3]; Punzi, G. ^[3];

^[4]; Spinella, F. ^[1]; Stracka, S. ^[3]; Tonelli, D. ^[5]; Walsh, J. ^[1]

Instituto Nazionale di Fisica Nucleare, Pisa (Italy)
Instituto Nazionale di Fisica Nucleare, Pisa (Italy); Scuola Normale Superiore, Pisa (Italy)
Instituto Nazionale di Fisica Nucleare, Pisa (Italy); Univ. di Pisa, Pisa (Italy)
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Istituto Nazionale di Fisica Nucleare, Trieste (Italy)

Publication Date:: Thu Nov 23 00:00:00 EST 2017

Research Org.:: Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

OSTI Identifier:: 1420919

Report Number(s):: FERMILAB-CONF-16-763-CMS
Journal ID: ISSN 1742-6588; 1638262; TRN: US1801509

Grant/Contract Number:: AC02-07CH11359

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Physics. Conference Series

Additional Journal Information:: Journal Volume: 898; Journal Issue: 3; Journal ID: ISSN 1742-6588

Publisher:: IOP Publishing

Country of Publication:: United States

Language:: English

Subject:: 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

Citation Formats


                    Bedeschi, F., Cenci, R., Marino, P., Morello, M. J., Ninci, D., Piucci, A., Punzi, G., Ristori, L., Spinella, F., Stracka, S., Tonelli, D., and Walsh, J. An artificial retina processor for track reconstruction at the LHC crossing rate.  United States: N. p., 2017. 
Web.  doi:10.1088/1742-6596/898/3/032038.

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                    Bedeschi, F., Cenci, R., Marino, P., Morello, M. J., Ninci, D., Piucci, A., Punzi, G., Ristori, L., Spinella, F., Stracka, S., Tonelli, D., & Walsh, J. An artificial retina processor for track reconstruction at the LHC crossing rate.  United States.  https://doi.org/10.1088/1742-6596/898/3/032038

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                    Bedeschi, F., Cenci, R., Marino, P., Morello, M. J., Ninci, D., Piucci, A., Punzi, G., Ristori, L., Spinella, F., Stracka, S., Tonelli, D., and Walsh, J. Thu .  
"An artificial retina processor for track reconstruction at the LHC crossing rate".  United States.  https://doi.org/10.1088/1742-6596/898/3/032038.  https://www.osti.gov/servlets/purl/1420919.

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@article{osti_1420919,

  title        = {An artificial retina processor for track reconstruction at the LHC crossing rate},

  author       = {Bedeschi, F. and Cenci, R. and Marino, P. and Morello, M. J. and Ninci, D. and Piucci, A. and Punzi, G. and Ristori, L. and Spinella, F. and Stracka, S. and Tonelli, D. and Walsh, J.},

  abstractNote = {The goal of the INFN-RETINA R&D project is to develop and implement a computational methodology that allows to reconstruct events with a large number (> 100) of charged-particle tracks in pixel and silicon strip detectors at 40 MHz, thus matching the requirements for processing LHC events at the full bunch-crossing frequency. Our approach relies on a parallel pattern-recognition algorithm, dubbed artificial retina, inspired by the early stages of image processing by the brain. In order to demonstrate that a track-processing system based on this algorithm is feasible, we built a sizable prototype of a tracking processor tuned to 3 000 patterns, based on already existing readout boards equipped with Altera Stratix III FPGAs. The detailed geometry and charged-particle activity of a large tracking detector currently in operation are used to assess its performances. Here, we report on the test results with such a prototype.},

  doi          = {10.1088/1742-6596/898/3/032038},

  journal      = {Journal of Physics. Conference Series},

  number       = 3,

  volume       = 898,

  place        = {United States},

  year         = {Thu Nov 23 00:00:00 EST 2017},

  month        = {Thu Nov 23 00:00:00 EST 2017}

}

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