Digging Deeper for New Physics in the LHC Data

Understand

In this paper 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 $\sim 3\sigma$ excesses.
• Among these, four excesses survive tests of inter- and intra-search compatibility, and two are especially interesting: they are largely overlapping between the jets+MET searches and are characterized by low jet multiplicity, zero $b$-jets, and low MET and $H_T$.