Neural simulation-based inference on unbinned top-quark pair data at 13 TeV yields improved gluon PDF precision over traditional binned analyses while incorporating experimental and theoretical uncertainties.
Differential cross section measurements for the production of top quark pairs and of additional jets using dilepton events from pp collisions at √s= 13 TeV
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The ttbar production cross section in PbPb collisions at 5.36 TeV is measured as 3.42 +0.54-0.51 (stat) +0.50-0.43 (syst) μb and is consistent with NNLO pQCD predictions using nuclear PDFs.
Differential cross sections for ttbar production in e+e-, mu+mu-, and e mu channels measured versus dineutrino pT and azimuthal separation using 138 fb-1 of 13 TeV CMS data, unfolded to particle level with unregularized least squares and found consistent with SM and MC predictions.
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Proton Structure from Neural Simulation-Based Inference at the LHC
Neural simulation-based inference on unbinned top-quark pair data at 13 TeV yields improved gluon PDF precision over traditional binned analyses while incorporating experimental and theoretical uncertainties.
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Measurement of the top quark pair production cross section in PbPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.36 TeV
The ttbar production cross section in PbPb collisions at 5.36 TeV is measured as 3.42 +0.54-0.51 (stat) +0.50-0.43 (syst) μb and is consistent with NNLO pQCD predictions using nuclear PDFs.
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Measurement of the dineutrino system kinematic variables in dileptonic top quark pair production in proton-proton collisions at$\sqrt{s}$ = 13 TeV
Differential cross sections for ttbar production in e+e-, mu+mu-, and e mu channels measured versus dineutrino pT and azimuthal separation using 138 fb-1 of 13 TeV CMS data, unfolded to particle level with unregularized least squares and found consistent with SM and MC predictions.