HEPP Workshop 2019

Machine Learning in the search for new heavy resonances decaying to $Z\gamma$ with the ATLAS detector

1 Feb 2019, 11:10

20m

Room 0017 (Nelson Mandela University)

Session V

Speaker

Nkateko Baloyi (University of the Witwatersrand (ZA))

Description

The search for new physics beyond the standard model is vital for ATLAS experiments to answer fundamental questions concerning laws of interactions and forces. This study searches for heavy resonances decaying to $Z\gamma$ in association with missing energy using data of the LHC proton-proton collisions at a centre of mass of 13 TeV collected by the ATLAS experiment. Using the multivariate analysis boosted decision tree, the signal and background data sample was split into 50:50 training and testing. The results obtained shows that the classifier performs well in discriminating the signal and background, and it can be used to improve the quality of the signal data sample in the search for new physics.

Presentation materials

conf_presentation.pdf