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

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:
 [1] ;  [2] ;  [2] ;  [2] ;  [3] ;  [3] ;  [3] ; ORCiD logo [4] ;  [1] ;  [3] ;  [5] ;  [1]
  1. Instituto Nazionale di Fisica Nucleare, Pisa (Italy)
  2. Instituto Nazionale di Fisica Nucleare, Pisa (Italy); Scuola Normale Superiore, Pisa (Italy)
  3. Instituto Nazionale di Fisica Nucleare, Pisa (Italy); Univ. di Pisa, Pisa (Italy)
  4. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  5. Istituto Nazionale di Fisica Nucleare, Trieste (Italy)
Publication Date:
Report Number(s):
FERMILAB-CONF-16-763-CMS
Journal ID: ISSN 1742-6588; 1638262; TRN: US1801509
Grant/Contract Number:
AC02-07CH11359
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
Research Org:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
OSTI Identifier:
1420919

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., Web. doi:10.1088/1742-6596/898/3/032038.
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. doi:10.1088/1742-6596/898/3/032038.
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.. 2017. "An artificial retina processor for track reconstruction at the LHC crossing rate". United States. doi:10.1088/1742-6596/898/3/032038. https://www.osti.gov/servlets/purl/1420919.
@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 = {2017},
month = {11}
}