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A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps http://arxiv.org/abs/2505.13063 ATLAS Collaboration
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also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks. [4/4 of https://arxiv.org/abs/2505.13063v1]
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is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and [3…
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and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for $b$-jets using $t\bar t \to e\mu\nu\nu bb$ data. After application of the derived calibration maps, closure between simulation and observation […