26–28 Jul 2023
Bratislava, Slovakia
Europe/Zurich timezone

Axion-Like-Particle Search Using Machine Learning for the Signal Sensitivity Optimization with Run-2 LHC Data Recorded by the ATLAS Experiment

27 Jul 2023, 17:15
30m
Lecture room F1

Lecture room F1

FMFI UK, Mlynská dolina, 84248 Bratislava

Speaker

Ondrej Matousek (Czech Technical University in Prague (CZ))

Description

The neutral Standard Model Higgs boson was discovered in 2012 at CERN, and the search for further particles of extended models continues. In particular, the search for an Axion-Like-Particle (ALP). Using machine learning technologies, this analysis addresses the separation of ALP production from unwanted background reactions. In this project, the Run-2 data from the ATLAS detector are used and the efficiency as well as the significance of the machine learning algorithm is optimized as a function of the theoretical ALP mass.

Author

Ondrej Matousek (Czech Technical University in Prague (CZ))

Presentation materials