paper

Has SUSY Gone Undetected in 9-jet Events? A Ten-Fold Enhancement in the LHC Signal Efficiency

arXiv:1108.5169

Abstract

On the heels of the first analysis of LHC data eclipsing the inverse femtobarn integrated luminosity milestone, we undertake a detailed comparison of the most recent experimental results with Monte Carlo simulation of the full "bare-minimally constrained" parameter space of the class of supersymmetric models which go by the name of No-Scale FSU5. We establish the first sparticle exclusion boundaries on these models, finding that the LSP mass should be at least about 92 GeV, with a corresponding boundary gaugino mass M_1/2 above about 485 GeV. In contrast to the higher mass constraints established for the CMSSM, we find the minimum exclusion boundary on the FSU5 gluino and heavy squark masses resides in the range of 658-674 GeV and 854-1088 GeV, respectively, with a minimum light stop squark mass of about 520 GeV. Moreover, we show that elements of the surviving parameter space not only escape the onslaught of LHC data which is currently decimating the standard mSUGRA/CMSSM benchmarks, but are further able to efficiently explain certain tantalizing production excesses over the SM background which have been reported by the CMS collaboration. We also extend this study comparatively to five distinct collider energies and four specific cut methodologies, including a proposed set of selection cuts designed to reveal the natural ultra-high jet multiplicity signal associated with the stable mass hierarchy m_t < m_g < m_q of the FSU5 models. By so doing, we demonstrate that a rather stable enhancement in model visibility, conservatively of order ten, may be attained by adoption of these cuts, which is sufficient for an immediate and definitive testing of a majority of the model space using only the existing LHC data set. We stress the point that habits established in lower jet multiplicity searches do not necessarily carry over into the ultra-high jet multiplicity search regime.

21 Pages, 6 Figures, 4 Tables

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