Low Mass Gluino within the Sparticle Landscape, Implications for Dark Matter, and Early Discovery Prospects at LHC-7
Ning Chen, Daniel Feldman, Zuowei Liu, Pran Nath, and Gregory Peim

TL;DR
This paper explores supergravity models predicting low mass gluinos (350-700 GeV), analyzing their potential for early detection at LHC-7, and discusses their implications for dark matter and experimental bounds.
Contribution
It provides a comprehensive analysis of low mass gluino models within supergravity frameworks, including their discovery prospects and dark matter implications.
Findings
Most models require only ~1 fb^{-1} for discovery at LHC-7.
Models are consistent with current experimental bounds.
Some models can explain the PAMELA positron excess.
Abstract
We analyze supergravity models that predict a low mass gluino within the landscape of sparticle mass hierarchies. The analysis includes a broad class of models that arise in minimal and in non-minimal supergravity unified frameworks and in extended models with additional hidden sector gauge symmetries. Gluino masses in the range GeV are investigated. Masses in this range are promising for early discovery at the LHC at TeV (LHC-7). The models exhibit a wide dispersion in the gaugino-Higgsino eigencontent of their LSPs and in their associated sparticle mass spectra. A signature analysis is carried out and the prominent discovery channels for the models are identified with most models needing only for discovery at LHC-7. In addition, significant variations in the discovery capability of the low mass gluino models are observed for…
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