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

Journal Article · · Journal of Physics. Conference Series
 [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)

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.

Research Organization:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1420919
Report Number(s):
FERMILAB-CONF-16-763-CMS; 1638262; TRN: US1801509
Journal Information:
Journal of Physics. Conference Series, Vol. 898, Issue 3; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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