Speaker
Description
The discovery of the Higgs boson in particle physics has opened a new era for valuable research to understand nature better. In recent times, physicists have been trying to find new physics to enhance their knowledge of physics beyond the standard model. For this purpose, studying the effect of modification in Higgs coupling and top Yukawa coupling is essential because it may show physics signatures in kinematic variable distributions vividly.
In this study, we modified Higgs to top Yukawa coupling using Effective Field Theory (EFT) with a dimension six operator, which leaves imprints of modification at a low energy scale on Wilson Coefficients. We are studying the effect of off-shell Higgs coupling in the physics of longitudinal gauge bosons at 13 TeV energy using proton and b quark collision, simulated by the MadGraph event generator and then the detector response is modelled using Delphes. Events, in which 3 leptons from leptonic decay of W and Z bosons, boosted top quark accompanied by a forward jet coming from light quark, are used for this study. We call this final state tj𝝂+3 leptons. This process has a topology similar to Vector Boson Scattering (VBS), with a forward jet that will be useful for discriminating signal from the background. There exist various background processes which can mimic our signal. Such background processes are $t\bar{t}Z$, WW, WZ, ZZ, single top production, QCD+jets production, etc. We discriminated signal from the background using the Deep Neural Network (DNN) algorithm of Machine Learning (ML). In tWZj production, kinematic distributions of mass of the diboson system and top quark are found sensitive to the top Yukawa coupling modifier $Y_{t}$. Results in terms of limit estimation for top Yukawa coupling $Y_{t}$ are derived.
| Field of contribution | Phenomenology |
|---|
