Abstract
Abstract We consider a comprehensive set of simplified models that contribute to final states with top and bottom quarks at the LHC. These simplified models are used to create minimal search strategies that ensure optimal coverage of new heavy flavor physics involving the pair production of color octets and triplets. We provide a set of benchmarks that are representative of model space, which can be used by experimentalists to perform their own optimization of search strategies. For data sets larger than 1 fb−1, same-sign dilepton and 3b search regions become very powerful. Expected sensitivities from existing and optimized searches are given.
Highlights
For heavy flavor final states, an additional challenge in developing a comprehensive search strategy is that top quarks lead to different signatures than bottom quarks
Noteworthy is that 3b and same-sign dilepton search regions (SSDL) are sensitive to these models, especially with larger data sets. 3b search regions can become an effective way to discover a broad class of heavy flavor topologies from gpair production, while SSDL signal regions can help in multi-top topologies where the mass spectrum of new states is compressed
This work presented a framework for constructing optimal search strategies sensitive to heavy flavor and missing energy signatures at the LHC
Summary
We divide the gsimplified models into two further categories, characterized by the nature of the LSP. In the first category (referred to as GBtopologies), the LSP consists of a single neutral state, χ0. In the second category (referred to as GWtopologies), there is a charged state χ± nearly degenerate with the neutral state χ0. In all Monte Carlo (MC) calculations, we set mχ± − mχ0 = 10 GeV, which is an unobservable mass splitting in jets and missing energy analyses. In supersymmetric theories, this spectrum frequently occurs if the LSP is a Wino and the Higgsinos are heavy or if the LSP is a Higgsino and the Wino and Bino are heavy. We map each possible decay of the ggpair to a simplified model
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