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- W4296205780 startingPage "P09022" @default.
- W4296205780 abstract "Abstract For particle collider searches for physics beyond the Standard Model in final states with jets and missing transverse momentum, events from QCD multi-jet processes are an important and challenging background contribution. The CMS and ATLAS experiments have previously developed data-driven methods designed to succeed where Monte Carlo methods suffer large theoretical and experimental uncertainties. One such method is Rebalance and Smear (R&S), which predicts QCD backgrounds by applying a series of folding and unfolding techniques to data control regions. A top-to-bottom description of the R&S method is presented, along with a discussion of its applicability and limitations. A software application is provided that performs the R&S method using public, non-proprietary tools, interfacing with data sets produced by Delphes3 . In general, the method is suitable for predicting multi-jet backgrounds in searches for stable non-detectable particles, such as dark matter candidates. A case study is carried out in simulated events of proton-proton collisions at √ s = 14 TeV in the context of a potential search for Higgsino dark matter produced in the decay products of supersymmetric quark partners. Sources of potential bias are explored and prescriptions for evaluating systematic uncertainties are suggested." @default.
- W4296205780 created "2022-09-18" @default.
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- W4296205780 date "2022-09-01" @default.
- W4296205780 modified "2023-10-18" @default.
- W4296205780 title "Rebalance and Smear for multi-jet background estimation" @default.
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- W4296205780 doi "https://doi.org/10.1088/1748-0221/17/09/p09022" @default.
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