Beyond 4D Tracking: Using Cluster Shapes for Track Seeding

Understand

Tracking is one of the most time consuming aspects of event reconstruction at the Large Hadron Collider (LHC) and its high-luminosity upgrade (HL-LHC).

• Innovative detector technologies extend tracking to four-dimensions by including timing in the pattern recognition and parameter estimation.
• However, present and future hardware already have additional information that is largely unused by existing track seeding algorithms.
• The shape of clusters provides an additional dimension for track seeding that can significantly reduce the combinatorial challenge of track finding.