Speaker
Description
In the Two-Higgs-Doublet Model (2HDM) Type-I, setting the coupling between a light CP-even Higgs boson and fermions to zero introduces a fermiophobic Higgs ℎ𝑓, which dominantly decays as ℎ𝑓 → γγ. Searching for ℎ𝑓 with a mass below 10 GeV presents a challenge, as conventional isolated diphoton methods become ineffective. This is due to the ℎ𝑓 → γγ decay producing highly collimated diphotons that merge into a single jet, making traditional photon-based searches impractical. To address this, we develop a machine learning model that leverages CNNs to analyze jet substructure, enabling the identification of diphoton jets and distinguishing them from QCD backgrounds. In this talk, I will introduce the 2HDM Type-I fermiophobic Higgs, discuss the unique challenges associated with detecting diphoton jets, and compare the effectiveness of cut-based and machine learning analyses in enhancing signal discrimination.
