Speaker
Description
The High-Luminosity Large Hadron Collider (HL-LHC) will open new opportunities for the study of rare processes, including Higgs boson pair (di-Higgs) production. Flavour tagging will play a central role in enabling these measurements. This poster presents the expected challenges for flavour tagging in the HL-LHC environment, characterized by unprecedented instantaneous luminosity, high pile-up conditions, and the upgraded ATLAS detector. Particular emphasis is placed on the projected performance of the current flavour-tagging neural network, GN2, when trained and evaluated on simulated Run 4 datasets. The implications for future di-Higgs analyses are discussed, highlighting the critical importance of flavour-tagging performance for achieving sensitivity to this key measurement in the Higgs sector.
| Track | Future Projects |
|---|