Impact of 4D Tracking in Flavour Tagging Applications

The High-Luminosity Large Hadron Collider (HL-LHC) presents significant challenges for flavour tagging due to increased pile-up events. This study explores the potential integration of precise timing information into the ATLAS detector, specifically targeting future upgrades beyond the confirmed Inner Tracker (ITk), to enhance flavour tagging performance. By improving the separation between hard scatter and pile-up interactions, timing information significantly enhances the discriminating power of machine learning models. Additionally, the study investigates similar applications for the Open Data Detector (ODD) and outlines the necessary steps to address data quality and training sample size issues. The results highlight the potential benefits of timing detectors for future colliders, such as the Future Circular Collider (FCC), and other high-energy physics projects.