Würzburg 2018 – scientific programme

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T: Fachverband Teilchenphysik

T 3: Higgs I

T 3.6: Talk

Monday, March 19, 2018, 17:15–17:30, Philo-HS3

Search for H → ττ decays using multivariate techniques in proton-proton collisions at √s = 13 TeV with the ATLAS Detector — •Frank Sauerburger and Karsten Köneke — Albert-Ludwigs-Universität, Freiburg, Deutschland

A multivariate analysis (MVA) using machine learning techniques to study the standard model decay of the Higgs boson to two τ leptons (H→ τ⁺τ⁻) is presented. The analysis focuses on the decay channel, in which one τ decays leptonically and the other τ hadronically. The background is estimated with a combination of Monte Carlo simulation and data-driven methods. A boosted decision tree (BDT) is trained on the background and signal model. The BDT is employed to classify events into background and signal in order to enhance the sensitivity of the analysis. The analysis is performed using a dataset of proton-proton collisions at a center-of-mass energy √s = 13 TeV corresponding to an integrated luminosity of 36.1 fb⁻¹ recorded with the ATLAS detector at the LHC during 2015 and 2016.