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

Journal Article · · Journal of Instrumentation
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  1. Politecnico and INFN Sezione di Milano (Italy)
  2. Scuola Normale Superiore and INFN Sezione di Pisa (Italy)
  3. Scuola Normale Superiore and INFN Sezione di Pisa (Italy); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  4. European Organization for Nuclear Research (CERN), Geneva (Switzerland)
+ Show Author Affiliations
We present results of an R&D study for a specialized processor capable of precisely reconstructing, in pixel detectors, hundreds of charged-particle tracks from high-energy collisions at 40 MHz rate. We apply a highly parallel pattern-recognition algorithm, inspired by studies of the processing of visual images by the brain as it happens in nature, and describe in detail an efficient hardware implementation in high-speed, high-bandwidth FPGA devices. This is the first detailed demonstration of reconstruction of offline-quality tracks at 40 MHz and makes the device suitable for processing Large Hadron Collider events at the full crossing frequency.
Research Organization:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1395478
Alternate ID(s):
OSTI ID: 22498584
Report Number(s):
FERMILAB-CONF--14-610-CMS; arXiv:1409.1565; 1315154
Journal Information:
Journal of Instrumentation, Journal Name: Journal of Instrumentation Journal Issue: 03 Vol. 10; ISSN 1748-0221
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English

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Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Data reduction methods
Digital electronic circuits
Pattern recognition
Trigger concepts and systems (hardware and software)
calibration and fitting methods
cluster finding