Conveners
Contributed Talks IV
- Xuanhong Lou (Stockholm University (SE))
New physics has proven quite elusive, hence more data and increasingly sophisticated techniques are required to probe it. With Run 3 of the LHC started and major developments in modern machine learning techniques, we face a very interesting new era of experimental physics. We aim to quantify the gain in sensitivity by using the highly effective XGBoost framework in searches for supersymmetry...
The ATLAS detector is, in its most abstract form, a cylindrical camera. It captures the energy deposits left in the detector material from particles produced in high-energy particle collision events. Traditional methods of analysing this data rely on the reconstruction of the particle collision. This process transforms the high-dimensional, low-level data from the detector into...
Several beyond Standard Model theories predict the existence of heavy scalars which could decay into the Standard Model (SM) Higgs boson. This analysis focuses on the search for resonant heavy scalar $X$ decaying to a lighter scalar $S$ and the SM Higgs boson $H$ in a final state with two photons and 2 $b$-jets. A neural network (NN), parametrised on the resonant $X$ and $S$ masses, is used to...
