Speaker
Description
Motivated by the multi-lepton anomalies, a search for narrow resonances with S → γγ, Zγ in association with light jets, b-jets, or missing transverse energy was reported in arXiv:2109.02650. The global significance of the excess at 151.5 GeV is 4σ, where the combination with the multi-lepton anomalies gives a significance much larger than 5σ. In this paper, the final states that are considered are the l+ ν j j γ, l- ν j j γ and j j j j γ and we use machine learning tools to determine the final state with the most significance. A classification model is developed in order to distinguish between the signal and background processes through the use of a Deep Neutral Network (DNN) which is constructed using a dataset that consists of the energy, the pseudo-rapidity, and azimuthal angle for each of the particles in each final state. The parameters of the DNN are tuned using a hyperparameter optimisation algorithm so that the convergence of the receiver operating characteristic (ROC) curve is achieved.
Level for award;(Hons, MSc, PhD, N/A)?
MSc
| Apply to be considered for a student ; award (Yes / No)? | Yes |
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