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An Artificial Retina Processor for Track Reconstruction at the LHC Crossing Rate

Conference · · J.Phys.Conf.Ser.
 [1];  [2];  [2];  [2];  [3];  [3];  [3];  [4];  [1];  [3];  [5];  [1]
  1. INFN, Pisa
  2. INFN, Pisa; Pisa, Scuola Normale Superiore
  3. INFN, Pisa; Pisa U.
  4. Fermilab
  5. INFN, Trieste
+ Show Author Affiliations
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. We report on the test results with such a prototype.
Research Organization:
Pisa U.; Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); INFN, Trieste; Pisa, Scuola Normale Superiore; INFN, Pisa
Sponsoring Organization:
US Department of Energy
DOE Contract Number:
AC02-07CH11359
OSTI ID:
1420919
Report Number(s):
FERMILAB-CONF-16-763-CMS; oai:inspirehep.net:1638262
Resource Type:
Conference paper
Conference Information:
Journal Name: J.Phys.Conf.Ser.
Country of Publication:
United States
Language:
English

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Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY