We present the results of a detailed simulation of the artificial retina pattern-recognition algorithm, designed to reconstruct events with hundreds of charged-particle tracks in pixel and silicon detectors at LHCb with LHC crossing frequency of 40 MHz. Performances of the artificial retina algorithm are assessed using the official Monte Carlo samples of the LHCb experiment. We found performances for the retina pattern-recognition algorithm comparable with the full LHCb reconstruction algorithm.
Simulation and performance of an artificial retina for 40MHz track reconstruction / A. Abba, F. Bedeschi, M. Citterio, F. Caponio, A. Cusimano, A. Geraci, P. Marino, M.J. Morello, N. Neri, G. Punzi, A. Piucci, L. Ristori, F. Spinella, S. Stracka, D. Tonelli. - In: JOURNAL OF INSTRUMENTATION. - ISSN 1748-0221. - 10:3(2015), pp. C03008.1-C03008.9. ((Intervento presentato al convegno Workshop on Intelligent Trackers tenutosi a Philadelphia nel 2014.
Simulation and performance of an artificial retina for 40MHz track reconstruction
N. Neri;
2015
Abstract
We present the results of a detailed simulation of the artificial retina pattern-recognition algorithm, designed to reconstruct events with hundreds of charged-particle tracks in pixel and silicon detectors at LHCb with LHC crossing frequency of 40 MHz. Performances of the artificial retina algorithm are assessed using the official Monte Carlo samples of the LHCb experiment. We found performances for the retina pattern-recognition algorithm comparable with the full LHCb reconstruction algorithm.
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