The Evolution of FTK, a Real-Time Tracker for Hadron Collider Experiments

TL;DR

This paper details the architectural evolution of FTK, a highly-parallel, real-time track processor designed for high-luminosity hadron collider experiments, emphasizing its improved hardware organization for precise online track reconstruction.

Contribution

It introduces a new hardware organization of FTK based on high luminosity simulations, enhancing real-time track reconstruction capabilities.

Findings

FTK can perform precise online track reconstruction at high luminosity.

The new hardware organization improves processing speed and accuracy.

Simulation results validate the architecture evolution.

Abstract

We describe the architecture evolution of the highly-parallel dedicated processor FTK, which is driven by the simulation of LHC events at high luminosity (1034 cm-2 s-1). FTK is able to provide precise on-line track reconstruction for future hadronic collider experiments. The processor, organized in a two-tiered pipelined architecture, execute very fast algorithms based on the use of a large bank of pre-stored patterns of trajectory points (first tier) in combination with full resolution track fitting to refine pattern recognition and to determine off-line quality track parameters. We describe here how the high luminosity simulation results have produced a new organization of the hardware inside the FTK processor core.