Simulation and performance of an artificial retina for 40 MHz 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
TL;DR
This paper presents a detailed simulation of an artificial retina pattern-recognition algorithm designed for high-frequency particle track reconstruction at LHCb, demonstrating performance comparable to full reconstruction methods.
Contribution
It introduces a novel artificial retina algorithm tailored for 40 MHz track reconstruction in high-energy physics detectors.
Findings
Performance comparable to full LHCb reconstruction
Effective in reconstructing hundreds of charged-particle tracks
Suitable for high-frequency data processing at LHCb
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 . 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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