We present the results of an R&D study for a specialized processor capable of precisely reconstructing events with hundreds of charged-particle tracks in pixel and silicon strip detectors at 40MHz, thus suitable for processing LHC events at the full crossing frequency. For this purpose we design and test a massively parallel pattern-recognition algorithm, inspired to the current understanding of the mechanisms adopted by the primary visual cortex of mammals in the early stages of visual-information processing. The detailed geometry and charged-particle's activity of a large tracking detector are simulated and used to assess the performance of the artificial retina algorithm. We find that high-quality tracking in large detectors is possible with sub-microsecond latencies when the algorithm is implemented in modern, high-speed, high-bandwidth FPGA devices.
@article{arxiv.1411.1281,
title = {The artificial retina for track reconstruction at the LHC crossing rate},
author = {A. Abba and F. Bedeschi and M. Citterio and F. Caponio and A. Cusimano and A. Geraci and P. Marino and M. J. Morello and N. Neri and G. Punzi and A. Piucci and L. Ristori and F. Spinella and S. Stracka and D. Tonelli},
journal= {arXiv preprint arXiv:1411.1281},
year = {2014}
}
Comments
3 pages, 3 figures, ICHEP14. arXiv admin note: text overlap with arXiv:1409.0898