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For many particle collider searches for physics beyond the Standard Model infinal states with jets and missing transverse momentum, events from QCDmulti-jet processes are an important and challenging background contribution.The CMS and ATLAS experiments have previously developed data-driven methodsdesigned to succeed where Monte Carlo methods suffer large theoretical andexperimental uncertainties. One such method is Rebalance and Smear (R&S), whichpredicts QCD backgrounds by applying a series of folding and unfoldingtechniques to data control regions. A top-to-bottom description of the R&Smethod is presented, along with a discussion of its applicability andlimitations. A software application is provided that performs the R\&S methodusing public, non-proprietary tools, interfacing with data sets produced byDelphes3. In general, the method is suitable for predicting multi-jetbackgrounds in searches for stable non-detectable particles, such as darkmatter candidates. A case study is carried out in simulated events ofproton-proton collisions at 14 TeV in the context of a potential search forHiggsino dark matter produced in the decay products of supersymmetric quarkpartners. Sources of potential bias are explored and prescriptions forevaluating systematic uncertainties are suggested.

Rebalance and Smear for Multi-jet Background Estimation