Speaker
Description
We describe a novel, model-independent technique of "rectangular aggregations" for mining the LHC data for hints of new physics. A typical (CMS) search now has hundreds of signal regions, which can obscure potentially interesting anomalies. Applying our technique to the two CMS jets+MET SUSY searches, we identify a set of previously overlooked ∼3σ excesses. Among these, four excesses survive tests of inter- and intra-search compatibility, and two are especially interesting: they are largely overlapping between the CMS jets+MET searches and are characterized by low jet multiplicity, zero b-jets, and low MET and HT. We find a simplified model that provides an excellent fit to these two excesses and discuss all additional constraints. Based on these results, we believe the wide-spread view that the LHC data contains no interesting excesses is greatly exaggerated.
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