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Measurements of jet observables sensitive to $b$-quark fragmentation in $t\bar{t}$ events at the LHC with the ATLAS detector

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arxiv 2202.13901 v2 pith:BFAFRAIH submitted 2022-02-28 hep-ex

classification hep-ex
keywords measurementsdetectorobservablesatlasdatadecaydistributionsevents
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Several observables sensitive to the fragmentation of $b$-quarks into $b$-hadrons are measured using 36 fb${}^{-1}$ of $\sqrt s = 13$ TeV proton-proton collision data collected with the ATLAS detector at the LHC. Jets containing $b$-hadrons are obtained from a sample of dileptonic $t\bar{t}$ events, and the associated set of charged-particle tracks is separated into those from the primary $pp$ interaction vertex and those from the displaced $b$-decay secondary vertex. This division is used to construct observables that characterize the longitudinal and transverse momentum distributions of the $b$-hadron within the jet. The measurements have been corrected for detector effects and provide a test of heavy-quark-fragmentation modeling at the LHC in a system where the top-quark decay products are color-connected to the proton beam remnants. The unfolded distributions are compared with the predictions of several modern Monte Carlo parton-shower generators and generator tunes, and a wide range of agreement with the data is observed, with $p$-values varying from $5 \times 10^{-4}$ to 0.98. These measurements complement similar measurements from $e^+e^-$ collider experiments in which the $b$-quarks originate from a color-singlet $Z/\gamma^*$.

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  1. Configuration, Performance, and Commissioning of the ATLAS $b$-jet Triggers for the 2022 and 2023 LHC data-taking periods

    hep-ex 2025-01 conditional novelty 7.0 of 10

    ATLAS's Run 3 b-jet trigger, based on the DL1d and GN1 neural-network taggers plus a FastDIPS preselection, achieves about 50% higher efficiency for HH to bbbb and HH to bbtautau than the Run 2 trigger strategy.

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