Spåtind 2023 - Nordic Conference on Particle Physics

Session

Contributed Talks IV

5 Jan 2023, 20:30

Fefor Høifjellshotell - Norge

Conveners

Contributed Talks IV

• Xuanhong Lou (Stockholm University (SE))

37. Search for squarks and gluinos using machine learning in tau-rich final states using Run2 and Run 3 data from the ATLAS detector

Tarje Solberg Hillersoy (University of Bergen (NO))

05/01/2023, 20:30

BSM physics

Contributed Talk

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...

35. Using computer-vision inspired techniques for end-to-end event classification on ATLAS data

Aurora Singstad Grefsrud (University of Bergen (NO))

05/01/2023, 20:50

ML and AI for physics

Contributed Talk

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...

38. Search for beyond Standard Model Higgs resonances with a parametrised neural network in ATLAS

Laura Pereira Sanchez (Stockholm University (SE))

05/01/2023, 21:10

Higgs physics

Contributed Talk

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...