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Prof. Paul Jackson (University of Adelaide)10/12/2026, 16:30AIP | Nuclear and Particle Physics (NUPP)Invited talk
In June 2026, the Large Hadron Collider (LHC) at CERN was shutdown, bringing the curtain down on the highly successful Run 3 period of the machine which started in 2022. In this talk, I will survey some of the results already produced using these data from top physics, Higgs results and searches for physics beyond the Standard Model. By 2030, the LHC will be reimagined as the high-luminosity...
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Haylea Isobel Purnell (Adelaide University (AU))10/12/2026, 17:00AIP | Nuclear and Particle Physics (NUPP)Contributed Oral
The ATLAS Experimentโs trigger system works in real-time to accept interesting events with specific energies and structures, motivated by known physics models. While this traditional method has allowed for world-leading datasets and breakthroughs such as the discovery of the Higgs boson, this model-dependence might risk excluding unanticipated new physics that doesnโt fit our current trigger...
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Harish Potti (University of Sydney (AU))10/12/2026, 17:15AIP | Nuclear and Particle Physics (NUPP)Contributed Oral
Many new physics theories predict the existence of heavy, top-philic resonances that couple exclusively to Standard Model top quarks. These hypothetical particles can be probed only by searching for events with three or four top quarks in the final state. In this talk, we will present the latest results from the ATLAS search for these new resonances performed using the full Run 2 dataset...
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Kael Kemp (University of Adelaide (AU))10/12/2026, 17:30AIP | Nuclear and Particle Physics (NUPP)Contributed Oral
When examining collision events in particle collider experiments such as the ATLAS experiment at CERN, it is important to understand all processes that can give rise to a specific final state. This is often performed by studying Monte Carlo generated events to model Standard Model processes. We can model the hard scattering processes, but it is also important to consider the detector...
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Matthew Green (Adelaide University (AU))10/12/2026, 17:45AIP | Nuclear and Particle Physics (NUPP)Contributed Oral
The ATLAS detector at the Large Hadron Collider measures the energy of particles using calorimeters. These are volumes segmented into many individual cells, each recording a small deposit of energy as a particle passes through. The cell-by-cell structure has a natural geometric and topological form which is well suited to graph neural networks (GNNs), a class of machine learning models...
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