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 40 MHz, 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.


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    Title :

    The artificial retina for track reconstruction at the LHC crossing rate


    Contributors:
    Abba, A. (author) / Bedeschi, F. (author) / Citterio, M. (author) / Caponio, F. (author) / Cusimano, A. (author) / Geraci, A. (author) / Marino, P. (author) / Morello, M. J. (author) / Neri, N. (author) / Piucci, A. (author)

    Publication date :

    2016-01-01



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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