Speaker
Description
In this work, we study the sensitivity of a diphoton analysis to potential resonant signals using ATLAS Run-3 data and Monte Carlo (MC) simulated samples. The analysis focuses on optimising event selection and object identification, including studies of electron identification working points and event-level requirements, to improve discrimination between MC signal and Standard Model backgrounds. The ATLAS analysis framework is used to construct and compare signal and background distributions for key kinematic observables. Background contributions from dominant processes are evaluated and statistical sensitivity is quantified through weighted yield comparisons and significance estimates. The results highlight the importance of optimised selection strategies in enhancing sensitivity to subtle resonant structures in the diphoton channel, where the scalar decays into a photon pair accompanied by a muon or electron and a $S(\rightarrow \gamma \gamma) + 1 \ell$, and contribute to ongoing efforts within ATLAS to explore potential signals of new physics.
| Apply for student award at which level: | MSc |
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| Consent on use of personal information: Abstract Submission | Yes, I ACCEPT |