Three-Dimensional Triplet Tracking for LHC and Future High Rate Experiments

TL;DR

This paper introduces a 3D triplet tracking method using pixel detectors that simplifies track reconstruction in high rate experiments, potentially improving speed and reducing material in collider detectors.

Contribution

It presents a novel 3D triplet tracking approach optimized for pixel detectors, enhancing robustness and efficiency in high rate and low momentum track environments.

Findings

High tracking performance with 3D triplets demonstrated

Potential reduction in detector layers and material budget

Suitability for fast online reconstruction and triggering

Abstract

The hit combinatorial problem is a main challenge for track reconstruction and triggering at high rate experiments. At hadron colliders the dominant fraction of hits is due to low momentum tracks for which multiple scattering (MS) effects dominate the hit resolution. MS is also the dominating source for hit confusion and track uncertainties in low energy precision experiments. In all such environments, where MS dominates, track reconstruction and fitting can be largely simplified by using three-dimensional (3D) hit-triplets as provided by pixel detectors. This simplification is possible since track uncertainties are solely determined by MS if high precision spatial information is provided. Fitting of hit-triplets is especially simple for tracking detectors in solenoidal magnetic fields. The over-constrained 3D-triplet method provides a complete set of track parameters and is robust against fake hit combinations. The triplet method is ideally suited for pixel detectors where hits can be treated as 3D-space points. With the advent of relatively cheap and industrially available CMOS-sensors the construction of highly granular full scale pixel tracking detectors seems to be possible also for experiments at LHC or future high energy (hadron) colliders. In this paper tracking performance studies for full-scale pixel detectors, including their optimisation for 3D-triplet tracking, are presented. The results obtained for different types of tracker geometries and different reconstruction methods are compared. The potential of reducing the number of tracking layers and -- along with that -- the material budget using this new tracking concept is discussed. The possibility of using 3D-triplet tracking for triggering and fast online reconstruction is highlighted.