The artificial retina processor for track reconstruction at the LHC crossing rate

作者：A. Abba, F. Bedeschi, M. Citterio, F. Caponio, A. Cusimano, A. Geraci, P. Marino, M. J. Morello, N. Néri, G. Punzi, A. Piucci, L. Ristori, F. Spinella, S. Stracka, D. Tonelli · 发表于：Journal of Instrumentation · 年份：2015 · DOI：10.1088/1748-0221/10/03/c03018 · 被引用次数：7 · 研究领域：CCD and CMOS Imaging Sensors、Particle Detector Development and Performance、Cell Image Analysis Techniques

We present results of an R&D study for a specialized processor capable of precisely reconstructing, in pixel detectors, hundreds of charged-particle tracks from high-energy collisions at 40 MHz rate. We apply a highly parallel pattern-recognition algorithm, inspired by studies of the processing of visual images by the brain as it happens in nature, and describe in detail an efficient hardware implementation in high-speed, high-bandwidth FPGA devices. This is the first detailed demonstration of reconstruction of offline-quality tracks at 40 MHz and makes the device suitable for processing Large Hadron Collider events at the full crossing frequency.