Can We Discover Double Higgs Production at the LHC?

Understand

We explore double Higgs production via gluon fusion in the $b\bar{b} \gamma \gamma $ channel at the high-luminosity LHC using machine learning tools.

• We first propose a Bayesian optimization approach to select cuts on kinematic variables, obtaining a $30-50$ \% increase in the significance compared to current results in the literature.
• We show that this improvement persists once systematic uncertainties are taken into account.
• We next use boosted decision trees (BDT) to further discriminate signal and background events.