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Data-driven background estimation techniques in ATLAS

by Dr Miha Muškinja (Jozef Stefan Institute, Ljubljana, Slovenia)

Europe/Stockholm
H422 (Fysiska institutionen-Physics Department Hus H)

H422

Fysiska institutionen-Physics Department Hus H

Description
Resonances decaying to leptons are very common in various BSM theories such as the Grand Unification theory, Left-Right Symmetric model, Sequential Standard Model, BSM Higgs models, and many more. Final states with leptons have lower backgrounds and are something to trigger on. Furthermore, the detector resolution allows a good measurement of the invariant mass of BSM resonances decaying to electrons and muons, however, these searches are usually facing significant backgrounds due to objects falsely reconstructed as leptons (fakes). Simulating processes that lead to fake leptons is difficult as they arise due to interactions of particles with the detector material and data-driven techniques are necessary to predict them with an adequate accuracy. This seminar covers the technical challenges that searches with leptons in the final state are facing along with the tangible solutions and examples of used data-driven techniques in ATLAS.