System-on-an-FPGA Design for Real-time Particle Track Recognition and Reconstruction in Physics Experiments

In particle physics experiments, the momenta of charged particles are studied by observing their deflection in a magnetic field. Dedicated detectors measure the particle tracks and complex algorithms are required for track recognition and reconstruction. This CPU-intensive task is usually implemented as off-line software running on PC clusters. In this paper we present a system-on-chip design for the track recognition and reconstruction based on modern FPGA technologies. The basic principle of the algorithm is polled from software into the FPGA fabric. The fundamental architecture of the tracking processor is described in detail. Working as processing engines in compute nodes, the tracking processor contributes to recognize potential track candidates in real-time and promotes the selection efficiency of the data acquisition and trigger system. Our design study shows that the tracking module can be integrated in a single Xilinx Virtex-4 FX60 FPGA. The processing capability of the design is about 16.7K sub-events per second per module with our experimental setup, which achieves 20 times speedup compared to the software implementation.