Speaker
Description
A calibration of the ATLAS flavor-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the $b$-, $c$-, and light flavor classification probabilities from jet tagging algorithms in simulation are derived for $b$-jets using $t\bar t \to b \bar b e \mu \nu \nu$ events. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavor observables used in ATLAS analyses of the LHC collision data. This continuous calibration opens up new possibilities for the future use of jet flavor information in LHC analyses and furthermore serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.
Track | Tagging (Classification) |
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