The artificial retina processor for track reconstruction at the LHC crossing rate
Journal Article
·
· Journal of Instrumentation
- Politecnico and INFN Sezione di Milano (Italy)
- Scuola Normale Superiore and INFN Sezione di Pisa (Italy)
- Scuola Normale Superiore and INFN Sezione di Pisa (Italy); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- European Organization for Nuclear Research (CERN), Geneva (Switzerland)
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 Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Grant/Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1395478
- Report Number(s):
- arXiv:1409.1565; FERMILAB-CONF-14-610-CMS; 1315154
- Journal Information:
- Journal of Instrumentation, Vol. 10, Issue 03; ISSN 1748-0221
- Publisher:
- Institute of Physics (IOP)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 5 works
Citation information provided by
Web of Science
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