Model independent searches for new physics

Model independent searches for new physics are proposed as a way to be sensitive to various scenarios of new physics theories in final states with e.g. leptons recorded with the ATLAS detector.

New methods and tools involving neural networks and machine learning algorithms are to be used and optimized, using real data as well as simulated data based on various theoretical implementations, in order to correctly interpret any signal of new physics and distinguish it from regular Standard Model electroweak and strong processes. 

Emneord: ATLAS, CERN, LHC, Machine Learning, neural networks
Publisert 15. mars 2021 14:22 - Sist endret 15. mars 2021 14:22

Veileder(e)

Omfang (studiepoeng)

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