Abstract

Constraints on models which predict resonant top-quark pair production at the LHC are provided via a reinterpretation of the Standard Model (SM) particle level measurement of the top-anti-top invariant mass distribution, mleft(toverline{t}right) . We make use of state-of-the-art Monte Carlo event simulation to perform a direct comparison with measurements of mleft(toverline{t}right) in the semi-leptonic channels, considering both the boosted and the resolved regime of the hadronic top decays. A simplified model to describe various scalar resonances decaying into top-quarks is considered, including CP-even and CP-odd, color-singlet and color-octet states, and the excluded regions in the respective parameter spaces are provided.

Highlights

  • In order to theoretically describe top-quark pair production at the LHC, we make use of state-of-the-art event simulations provided by the Sherpa [10] event-generator framework

  • The uncertainties are still quite large, since only the 2015 data, corresponding to 3.2 fb−1, were used, but we expect that an update of the analysis will be available in the near future, with improved systematics and statistical uncertainty allowing to derive real exclusion limits

  • In this work we have provided a framework to reinterpret the Standard Model (SM) ttdifferential cross section measurements in terms of exclusion limits for signatures of NP scalar resonances decaying into tt

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Summary

Introduction

In order to theoretically describe top-quark pair production at the LHC, we make use of state-of-the-art event simulations provided by the Sherpa [10] event-generator framework. This implies the usage of techniques to match leading and next-to-leading order QCD matrix elements with parton showers and merging different partonmultiplicity final states. These approaches are complementary to model-specific searches in the respective final states. They provide systematic methods for the theory community to derive more realistic exclusion limits for any particular model, not relying on the experiment-specific assumptions

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