Speaker
Description
The identification of Lorentz-boosted Higgs boson is a critical challenge in advancing Higgs pair production studies. This talk provides a comprehensive overview of recent developments on techniques to identify boosted Higgs bosons decaying into tau lepton pairs ($H \to \tau\tau$), on offline reconstruction. Both hadronic ($H \to \tau_{\mathrm{had}}\tau_{\mathrm{had}}$) and leptonic ($H \to \tau_{\mathrm{had}}\tau_{\mu}$) decay channels are considered. The presentation explores the progress on several approaches, using machine learning-based algorithms adapted to the decay properties of tau leptons in the boosted regime. The presentation highlights the importance of the tagging strategy in the boosted regime to enhance the sensitivity of the Higgs pair production analyses.
