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| Conference Presentation | PUBDB-2025-05555 |
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2025
Abstract: There is current interest in searching for beyond the standard model particles produced in association with a top quark pair, tt + X(X→ t t). This project focuses on a top-philic Z* resonance model that may significantly enhance the tttt cross section. The all-hadronic channel is explored in the resolved regime using a novel machine learning algorithm, SPA-Net, which performs permutation-invariant jet-parton assignment to reconstruct events. This talk presents initial limits using this network to discriminate signal against large QCD multijet- and tt-dominated backgrounds. Studies shown use Monte Carlo simulations of proton-proton collision data gathered by the CMS detector at the LHC.
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