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| Home > Publications database > Preliminary Studies of ttH(bb) Dileptonic Events Using CMS Run3 Data and Initial Tests of SPANet in This Channel |
| Conference Presentation | PUBDB-2025-03685 |
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2025
Abstract: The Standard Model (SM) of particle physics predicts that the Higgs boson couples to fermions via a Yukawa-type interaction, with a strength proportional to the fermion mass. This makes the associated production of a Higgs boson with a top-quark pair ( ttH ) a crucial process to directly probe the top-Higgs Yukawa coupling, an essential parameter for confirming the SM nature of the Higgs boson. Among Higgs boson decays, the channel into a bb quark pair has the largest branching fraction, offering an experimentally promising final state. However, ttH(bb) process faces significant challenges regarding backgrounds, especially tt +jets production, with the ttbb background being irreducible with respect to the ttH, H → bb signal. Advance Machine Learning techniques are essential to improve the sensitivity to the signal process.This work focuses on the analysis of the ttH, H → bb process in events with two leptons, using proton-proton collision data collected by the CMS experiment at the LHC during Run3 at √s = 13.6 TeV . ML methods are explored to significantly enhance the sensitivity to the ttH signal. For the first time in this final state we are exploring the potential of SPANet for jet-parton assignment and neutrino kinematic regressions and finally signal and background classification.
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