An "artificial retina" processor for track reconstruction at the full LHC crossing rate
Abstract
Here, we present the latest results of an R&D; study for a specialized processor capable of reconstructing, in a silicon pixel detector, high-quality tracks from high-energy collision events at 40 MHz. The processor applies a highly parallel pattern-recognition algorithm inspired to quick detection of edges in mammals visual cortex. After a detailed study of a real-detector application, demonstrating that online reconstruction of offline-quality tracks is feasible at 40 MHz with sub-microsecond latency, we are implementing a prototype using common high-bandwidth FPGA devices.
- Authors:
-
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- Istituto Nazionale di Fisica Nucleare, Milano (Italy); Politecnico di Milano, Milano (Italy)
- Istituto Nazionale di Fisica Nucleare, Pisa (Italy); Scuola Normale Superiore, Pisa (Italy)
- Istituto Nazionale di Fisica Nucleare, Milano (Italy)
- Istituto Nazionale di Fisica Nucleare, Pisa (Italy); Univ. di Pisa, Pisa (Italy)
- Istituto Nazionale di Fisica Nucleare, Milano (Italy); Univ. di Milano, Milano (Italy)
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Istituto Nazionale di Fisica Nucleare, Pisa (Italy)
- European Organization for Nuclear Research (CERN), Geneva (Switzerland)
- Publication Date:
- Research Org.:
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1255262
- Report Number(s):
- FERMILAB-PUB-16-184-CMS
Journal ID: ISSN 0168-9002; 1458061
- Grant/Contract Number:
- AC02-07CH11359
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Additional Journal Information:
- Journal Volume: 824; Journal Issue: C; Journal ID: ISSN 0168-9002
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; pattern recognition; trigger; real-time online tracking
Citation Formats
Abba, A., F. Bedeschi, Caponio, F., Cenci, R., Citterio, M., Cusimano, A., Fu, J., Geraci, A., Grizzuti, M., Lusardi, N., Marino, P., Morello, M. J., Neri, N., Ninci, D., Petruzzo, M., Piucci, A., Punzi, G., Ristori, L., Spinella, F., Stracka, S., Tonelli, D., and Walsh, J. An "artificial retina" processor for track reconstruction at the full LHC crossing rate. United States: N. p., 2015.
Web. doi:10.1016/j.nima.2015.10.048.
Abba, A., F. Bedeschi, Caponio, F., Cenci, R., Citterio, M., Cusimano, A., Fu, J., Geraci, A., Grizzuti, M., Lusardi, N., Marino, P., Morello, M. J., Neri, N., Ninci, D., Petruzzo, M., Piucci, A., Punzi, G., Ristori, L., Spinella, F., Stracka, S., Tonelli, D., & Walsh, J. An "artificial retina" processor for track reconstruction at the full LHC crossing rate. United States. https://doi.org/10.1016/j.nima.2015.10.048
Abba, A., F. Bedeschi, Caponio, F., Cenci, R., Citterio, M., Cusimano, A., Fu, J., Geraci, A., Grizzuti, M., Lusardi, N., Marino, P., Morello, M. J., Neri, N., Ninci, D., Petruzzo, M., Piucci, A., Punzi, G., Ristori, L., Spinella, F., Stracka, S., Tonelli, D., and Walsh, J. Fri .
"An "artificial retina" processor for track reconstruction at the full LHC crossing rate". United States. https://doi.org/10.1016/j.nima.2015.10.048. https://www.osti.gov/servlets/purl/1255262.
@article{osti_1255262,
title = {An "artificial retina" processor for track reconstruction at the full LHC crossing rate},
author = {Abba, A. and F. Bedeschi and Caponio, F. and Cenci, R. and Citterio, M. and Cusimano, A. and Fu, J. and Geraci, A. and Grizzuti, M. and Lusardi, N. and Marino, P. and Morello, M. J. and Neri, N. and Ninci, D. and Petruzzo, M. and Piucci, A. and Punzi, G. and Ristori, L. and Spinella, F. and Stracka, S. and Tonelli, D. and Walsh, J.},
abstractNote = {Here, we present the latest results of an R&D; study for a specialized processor capable of reconstructing, in a silicon pixel detector, high-quality tracks from high-energy collision events at 40 MHz. The processor applies a highly parallel pattern-recognition algorithm inspired to quick detection of edges in mammals visual cortex. After a detailed study of a real-detector application, demonstrating that online reconstruction of offline-quality tracks is feasible at 40 MHz with sub-microsecond latency, we are implementing a prototype using common high-bandwidth FPGA devices.},
doi = {10.1016/j.nima.2015.10.048},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = C,
volume = 824,
place = {United States},
year = {Fri Oct 23 00:00:00 EDT 2015},
month = {Fri Oct 23 00:00:00 EDT 2015}
}
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Works referenced in this record:
The LHCb Simulation Application, Gauss: Design, Evolution and Experience
journal, December 2011
- Clemencic, M.; Corti, G.; Easo, S.
- Journal of Physics: Conference Series, Vol. 331, Issue 3
An artificial retina for fast track finding
journal, October 2000
- Ristori, Luciano
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 453, Issue 1-2