Mainz 2014 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
T: Fachverband Teilchenphysik
T 36: Top-Quarks
T 36.2: Vortrag
Montag, 24. März 2014, 17:00–17:15, P102
A Likelihood-based Reconstruction Algorithm for Top Quark Pairs - The KLFitter Framework — Johannes Erdmann1,2, Stefan Guindon1,3, Kevin Kröninger1, Boris Lemmer1, Olaf Nackenhorst1, Arnulf Quadt1, and •Philipp Stolte1 — 1II. Phys. Institut, Universität Göttingen — 2now at Dep. of Physics, Yale University, New Haven — 3now at Dep. of Physics, SUNY, Albany
Nowadays, the production mechanisms and properties of top quarks are studied intensively with the multipurpose detectors ATLAS and CMS at the LHC. Top quarks decay before hadronisation may occur due to their short lifetime. Thus, their properties need to be studied indirectly using the resulting decay products and the underlying signatures observed in the detector. The full reconstruction of the four-momenta of top quarks, based on these decay products, is essential for precision measurements in the top quark sector like the determination of its mass or of corresponding angular distributions and necessary, e.g., for the analysis of rare top quark processes involving Higgs bosons.
In this talk, a likelihood-based method for kinematic fitting to reconstruct decays of top quarks is presented and compared to other widely used algorithms. Reconstruction efficiencies as well as properties of the reconstructed objects constitute the centre of interest. The performed studies are based on simulated top quark pairs produced at a proton-proton collider at a centre-of-mass energy of √s = 7 TeV decaying via the single-lepton channel. All algorithms are implemented in the Kinematic Likelihood Fitter (KLFitter), a framework designed for analyses based on kinematic fitting.