Search for Higgs-like bosons through optimization of top-quark modelling

Abstract: Accurate estimations of background processes associated with top-quarks are vital to studies concerned with finding new physics at the Large Hadron Collider (LHC)at CERN. Search for Higgs-like bosons in the ATLAS experiment at LHC was performed by optimising the use of b-jet tagging algorithms and improving on tt backgroundmodelling. Improved modelling was achieved using two different methods, tt modelling correction and data-driven tt estimation. The correction method showed slight improvements in all regions of analysis. Furthermore, the data-driven method showed promising results reconstructing well-behaved kinematic variables, although the uncertainty was considerable.