The Landscape of Sparticle Mass Hierarchies and Their Signature Space at the LHC

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  • 30 October 2007
Abstract
The minimal supersymmetric standard model with soft breaking has a large landscape of sparticle mass hierarchies. This number is reduced significantly in well motivated scenarios such as mSUGRA and alternatives. We carry out an analysis of the landscape for the first four lightest particles and identify at least 16 mass patterns, and provide benchmarks for each. We study the signature space for the patterns at the LHC by analyzing the lepton+ (jet$\geq 2$) + missing P_T signals with 0, 1, 2 and 3 leptons. Correlations in missing P_T cut and distributions in missing P_T are also analyzed. It is found that even with 10fb^{-1} of data a significant discrimination among patterns emerges.

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