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Optimization of selection and data-driven background estimation for the boosted di-Higgs to 4 b final state search

This paper presents the optimization of a search for a new heavy resonance decaying into two boosted Higgs bosons, with two bb pairs in the final state. This search employs novel track jet b-tagging in order to increase signal efficiency previously limited by b-tagged R = 0.4 calorimeter jets. The analysis also utilizes a data-driven background estimation in order to predict gluon splitting background that previously kept this Higgs decay mode from being observed. Several selections of the search are defined, motivated, and varied in order to increase the significance of signal over background. These selections are then tested using the data-driven background estimation in order to ensure their effectiveness for this analysis. These selections show promising results for future runs of this analysis as the LHC turns on again in 2015 with its nominal energy of 7TeV from each beam.