Münster 2017 – scientific programme

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T: Fachverband Teilchenphysik

T 73: Higgs-Boson 6 (Zerfälle in Tau-Leptonen)

T 73.6: Talk

Wednesday, March 29, 2017, 18:00–18:15, JUR 3

Search for H→ ττ decays using multivariate techniques in proton-proton collisions at √s = 13  TeV with the ATLAS Detector — •Frank Sauerburger, Minoru Hirose, Karsten Köneke, and Karl Jakobs — 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 and employed to classify events into background and signal in order to enhance the sensitivity of the analysis. The analysis is performed with a dataset of proton-proton collisions at a center-of-mass energy √s = 13 TeV taken with the ATLAS Detector at the LHC during Run 2.