We present the latest results of an R&D study for a specialized processor capable of reconstructing, in a silicon pixel detector, high-quality tracks from high-energy collision events at 40 MHz. The processor applies a highly parallel pattern-recognition algorithm inspired to quick detection of edges in mammals visual cortex. After a detailed study of a real-detector application, demonstrating that online reconstruction of offline-quality tracks is feasible at 40 MHz with sub-microsecond latency, we are implementing a prototype using common high-bandwidth FPGA devices. (C) 2015 Elsevier B.V. All rights reserved.
|Titolo:||An "artificial retina" processor for track reconstruction at the full LHC crossing rate|
|Autori interni:||CENCI, RICCARDO|
MORELLO, MICHAEL JOSEPH
|Data di pubblicazione:||2016|
|Rivista:||NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT|
|Appare nelle tipologie:||1.1 Articolo in rivista|