Speaker
Description
The discovery of the Higgs boson at the Large Hadron Collider (LHC) through proton-proton collisions at CERN marked a major milestone in confirming the Standard Model (SM) of particle physics. While many SM parameters have now been measured with remarkable precision, the measurement of the triple Higgs coupling remains particularly challenging due to its extremely small production cross-section. High-luminosity runs of the LHC aim to improve the precision of this measurement. Alternatively, future colliders such as the FCC-ee, FCC-hh, and muon colliders are expected to offer enhanced sensitivity to the triple Higgs coupling.
In this talk, I will discuss how machine learning techniques can be used to improve the sensitivity of triple Higgs coupling measurements across hadron-hadron, electron-positron, and muon collider environments.
