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A novel method is proposed here to precisely model the multi-dimensionalfeatures of QCD multi-jet events in hadron collisions. The method relies on theschematization of high-pT QCD processes as 2->2 reactions made complex bysub-leading effects. The construction of libraries of hemispheres fromexperimental data and the definition of a suitable nearest-neighbor-basedassociation map allow for the generation of artificial events that reproducewith surprising accuracy the kinematics of the QCD component of original data,while remaining insensitive to small signal contaminations. The method issuccinctly described and its performance is tested in the case of the searchfor the hh->bbbb process at the LHC.

Hemisphere Mixing: a Fully Data-Driven Model of QCD Multijet Backgrounds for LHC Searches