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CMS-PAS-SMP-24-011
Measurement of inclusive $ \mathrm{W}^+\mathrm{W}^- $ and $ \mathrm{t}\bar{\mathrm{t}} $ cross sections with one $ \tau $ lepton in the final state in proton-proton collisions at $ \sqrt{s}= $ 13.6 TeV
Abstract: A measurement of the W boson pair production cross section in proton-proton collisions at $ \sqrt{s}= $ 13.6 TeV is presented. The data used in this study correspond to an integrated luminosity of 62 $ \mathrm{fb}^{-1} $, recorded in 2022 and 2023 with the CMS detector. Events are selected by requiring one electron or one muon and a hadronically decaying $ \tau $ lepton ($ \tau_h $) of opposite charges, in the process WW$ \rightarrow \ell(\mathrm{e},\mu)\tau_h\nu\bar{\nu} $. This is the first measurement that includes hadronic $ \tau $ decays in this process at the LHC. The $ \mathrm{t}\bar{\mathrm{t}} $ cross section is measured simultaneously in the final state that includes a $ \tau_h $, $ \mathrm{t}\bar{\mathrm{t}}\rightarrow \ell (\mathrm{e},\mu)\tau_h \nu\bar{\nu} \mathrm{b}\bar{\mathrm{b}} $. Cross sections are extracted from the data using a binned maximum likelihood fit from the observed yields from the multivariate discriminator output and visible mass distributions in signal- and background-enriched event samples. The measured inclusive WW and $ \mathrm{t}\bar{\mathrm{t}} $ production cross sections are $ \sigma_{\mathrm{WW}}= $ 144 $ \pm $ 12 pb and $ \sigma_{\mathrm{t}\bar{\mathrm{t}}}= $ 908 $ \pm $ 33 pb, in agreement with standard model predictions.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Feynman diagrams for SM $ WW $ production at leading order. From left to right: $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ s $-channel production, $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ t $-channel production, $ gg $ initiated non-resonant production and gg$ \to $ H$ \to \mathrm{W^+}\mathrm{W^-} $ resonant production.

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Figure 1-a:
Feynman diagrams for SM $ WW $ production at leading order. From left to right: $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ s $-channel production, $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ t $-channel production, $ gg $ initiated non-resonant production and gg$ \to $ H$ \to \mathrm{W^+}\mathrm{W^-} $ resonant production.

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Figure 1-b:
Feynman diagrams for SM $ WW $ production at leading order. From left to right: $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ s $-channel production, $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ t $-channel production, $ gg $ initiated non-resonant production and gg$ \to $ H$ \to \mathrm{W^+}\mathrm{W^-} $ resonant production.

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Figure 1-c:
Feynman diagrams for SM $ WW $ production at leading order. From left to right: $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ s $-channel production, $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ t $-channel production, $ gg $ initiated non-resonant production and gg$ \to $ H$ \to \mathrm{W^+}\mathrm{W^-} $ resonant production.

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Figure 1-d:
Feynman diagrams for SM $ WW $ production at leading order. From left to right: $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ s $-channel production, $ \mathrm{q}\overline{\mathrm{q}} $ initiated $ t $-channel production, $ gg $ initiated non-resonant production and gg$ \to $ H$ \to \mathrm{W^+}\mathrm{W^-} $ resonant production.

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Figure 2:
Signal and background postfit distributions for data and predictions in the WW region: $ \tau_\mathrm{h} p_{\mathrm{T}} $ (upper left), $ m_{\mathrm{vis}} $ (upper right), $ M_{1T} $ (lower left), $ M_{01} $ (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin.

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Figure 2-a:
Signal and background postfit distributions for data and predictions in the WW region: $ \tau_\mathrm{h} p_{\mathrm{T}} $ (upper left), $ m_{\mathrm{vis}} $ (upper right), $ M_{1T} $ (lower left), $ M_{01} $ (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin.

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Figure 2-b:
Signal and background postfit distributions for data and predictions in the WW region: $ \tau_\mathrm{h} p_{\mathrm{T}} $ (upper left), $ m_{\mathrm{vis}} $ (upper right), $ M_{1T} $ (lower left), $ M_{01} $ (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin.

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Figure 2-c:
Signal and background postfit distributions for data and predictions in the WW region: $ \tau_\mathrm{h} p_{\mathrm{T}} $ (upper left), $ m_{\mathrm{vis}} $ (upper right), $ M_{1T} $ (lower left), $ M_{01} $ (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin.

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Figure 2-d:
Signal and background postfit distributions for data and predictions in the WW region: $ \tau_\mathrm{h} p_{\mathrm{T}} $ (upper left), $ m_{\mathrm{vis}} $ (upper right), $ M_{1T} $ (lower left), $ M_{01} $ (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin.

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Figure 3:
Post-fit invariant mass distributions, for data and expectations, in four of the fit regions: DY (upper left), 1b (upper right), 2b (lower left), SS (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin (except for the DY region).

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Figure 3-a:
Post-fit invariant mass distributions, for data and expectations, in four of the fit regions: DY (upper left), 1b (upper right), 2b (lower left), SS (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin (except for the DY region).

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Figure 3-b:
Post-fit invariant mass distributions, for data and expectations, in four of the fit regions: DY (upper left), 1b (upper right), 2b (lower left), SS (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin (except for the DY region).

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Figure 3-c:
Post-fit invariant mass distributions, for data and expectations, in four of the fit regions: DY (upper left), 1b (upper right), 2b (lower left), SS (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin (except for the DY region).

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Figure 3-d:
Post-fit invariant mass distributions, for data and expectations, in four of the fit regions: DY (upper left), 1b (upper right), 2b (lower left), SS (lower right). The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin (except for the DY region).

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Figure 4:
Left: post-fit BDT discriminator output distribution for the WW region, for data and expectations. The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin. Right: BDT discriminator output distribution for signal and background, with both normalized to unity.

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Figure 4-a:
Left: post-fit BDT discriminator output distribution for the WW region, for data and expectations. The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin. Right: BDT discriminator output distribution for signal and background, with both normalized to unity.

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Figure 4-b:
Left: post-fit BDT discriminator output distribution for the WW region, for data and expectations. The ``Other'' category includes VV, VVV, V$ \gamma $ and Higgs samples. The shaded areas represent the full systematic uncertainty. Overflow events are merged to the last bin. Right: BDT discriminator output distribution for signal and background, with both normalized to unity.

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Figure 5:
The observed 2-dimensional 68% and 95% confidence intervals of the 2D scan of $ \sigma_{\mathrm{WW}} $ and $ \sigma_{{\mathrm{t}\overline{\mathrm{t}}} } $.

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Figure 6:
Measured WW production cross section ($ \sigma_{\mathrm{WW}} $) for each individual final state, combining $ \mu\tau_\mathrm{h} $ and $ \mathrm{e}\tau_\mathrm{h} $ final states, and for the combination of $ \mathrm{e}\mu $ [8], $ \mathrm{e}\tau_\mathrm{h} $ and $ \mu\tau_\mathrm{h} $.
Tables

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Table 1:
Summary of the event requirements in the five regions.

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Table 2:
Kinematic variables used as inputs to the BDT.

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Table 3:
List of sources of uncertainty in the signal strengths ($ \mu $) for the WW and $ \mathrm{t} \overline{\mathrm{t}} $ processes.

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Table 4:
Observed yields for each process and for each region used in the fit. The ``$ {\mathrm{t}\overline{\mathrm{t}}} \to $ other'' category includes both semileptonic and fully leptonic decays that do not fit the signal definition. The ``WW$ \to $ other'' category similarly includes fully leptonic decays. Finally. the ``Other'' category includes V$ \gamma $ and Higgs samples.

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Table 5:
Summary of expected and observed signal strengths ($ \mu $) and cross sections ($ \sigma $) for the processes studied. The uncertainty in the expected signal strength is evaluated through a fit on the Asimov dataset [63].
Summary
The simultaneous measurement of the WW and $ \mathrm{t} \overline{\mathrm{t}} $ cross sections is performed. The WW production cross section is measured in the final state with one $ W $ boson decaying to a light lepton (electron or muon) and the other to a $ \tau $ identified through its hadronic decay ($ \tau_\mathrm{h} $), in the process $ WW\rightarrow \ell\tau_\mathrm{h}\nu\bar{\nu} $, where $ \ell=\mathrm{e},\mu $. The $ \mathrm{t} \overline{\mathrm{t}} $ cross section is measured in the corresponding dilepton final state from the decay $ {\mathrm{t}\overline{\mathrm{t}}} \to \ell\nu_\ell\tau_\mathrm{h}\nu_\tau \mathrm{b}\bar{\mathrm{b}} $. The cross sections are measured in pp collisions at $ \sqrt{s}= $ 13.6 TeV recorded by the CMS experiment and correspond to an integrated luminosity of 62 fb$ ^{-1} $. Events are selected by requiring one electron or one muon, and one $ \tau_\mathrm{h} $ of opposite charge. The cross sections are extracted from the data using a binned maximum likelihood fit from the observed yields in the BDT discriminator output and invariant mass distributions in signal- and background-enriched event samples. The measured cross sections of the inclusive WW and $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections are $ \sigma_{\mathrm{WW}}= $ 144 $ \pm $ 12 pb and $ \sigma_{{\mathrm{t}\overline{\mathrm{t}}} }= $ 908 $ \pm $ 33 pb, respectively. This analysis presents the first measurement of the inclusive WW production cross section including hadronic $ \tau $ decays, as well as the first measurement of the $ \mathrm{t} \overline{\mathrm{t}} $ production cross section including $ \tau_\mathrm{h} $ decays in pp collisions at $ \sqrt{s}= $ 13.6 TeV.
References
1 ATLAS Collaboration Measurement of $ \mathrm{W^+}\mathrm{W^-} $ production in pp collisions at $ \sqrt{s} = $ 7 TeV with the ATLAS detector and limits on anomalous WWZ and WW$ \gamma $ couplings PRD 87 (2013) 112001 1210.2979
2 CMS Collaboration Measurement of the WW cross section in pp collisions at $ \sqrt{s}= $ 7 TeV and limits on anomalous $ \mathrm{W}\mathrm{W}\gamma $ and $ \mathrm{W}\mathrm{W}\mathrm{Z} $ couplings EPJC 73 (2013) 2610 CMS-SMP-12-005
1306.1126
3 CMS Collaboration Measurement of the WW cross section in pp collisions at $ \sqrt{s} = $ 8 TeV and limits on anomalous gauge couplings EPJC 76 (2016) 401 CMS-SMP-14-016
1507.03268
4 ATLAS Collaboration Measurement of total and differential $ \mathrm{W^+}\mathrm{W^-} $ production cross sections in proton-proton collisions at $ \sqrt{s}= $ 8 TeV with the ATLAS detector and limits on anomalous triple-gauge-boson couplings JHEP 09 (2016) 029 1603.01702
5 ATLAS Collaboration Measurement of fiducial and differential $ \mathrm{W^+}\mathrm{W^-} $ production cross sections at $ \sqrt{s}= $ 13 TeV with the ATLAS detector EPJC 79 (2019) 884 1905.04242
6 CMS Collaboration W$ ^+ $W$ ^- $ boson pair production in proton-proton collisions at $ \sqrt{s} = $ 13 TeV PRD 102 (2020) 092001 CMS-SMP-18-004
2009.00119
7 ATLAS Collaboration Measurements of $ W^+W^-+\ge 1 $jet production cross-sections in $ pp $ collisions at $ \sqrt{s}=13 $TeV with the ATLAS detector JHEP 06 (2021) 003 2103.10319
8 CMS Collaboration Measurement of inclusive and differential cross sections for W+W- production in proton-proton collisions at 13.6 TeV Physics Letters B 861 (2025) 139231 CMS-SMP-24-001
2406.05101
9 M. Grazzini, S. Kallweit, and M. Wiesemann Fully differential NNLO computations with MATRIX EPJC 78 (2018) 537 1711.06631
10 M. Grazzini et al. NNLO QCD + NLO EW with Matrix+OpenLoops: precise predictions for vector-boson pair production JHEP 02 (2020) 087 1912.00068
11 M. Beneke, P. Falgari, S. Klein, and C. Schwinn Hadronic top-quark pair production with nnll threshold resummation Nuclear Physics B 855 (2012) 695 1109.1536
12 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) 8004
13 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064 CMS-PRF-21-001
2309.05466
14 CMS Collaboration Performance of the CMS Level-1 trigger in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JINST 15 (2020) P10017 CMS-TRG-17-001
2006.10165
15 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
16 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
17 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
18 S. Alioli, P. Nason, C. Oleari, and E. Re A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX JHEP 06 (2010) 043 1002.2581
19 P. Nason and G. Zanderighi $ \mathrm{W^+}\mathrm{W^-} $, WZ and ZZ production in the POWHEG-BOX-V2 EPJC 74 (2014) 2702 1311.1365
20 S. Alioli, P. Nason, C. Oleari, and E. Re NLO vector-boson production matched with shower in POWHEG JHEP 07 (2008) 060 0805.4802
21 S. Alioli, P. Nason, C. Oleari, and E. Re NLO Higgs boson production via gluon fusion matched with shower in POWHEG JHEP 04 (2009) 002 0812.0578
22 J. Alwall et al. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations JHEP 07 (2014) 079 1405.0301
23 J. Alwall et al. Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions EPJC 53 (2008) 473 0706.2569
24 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
25 P. Artoisenet, R. Frederix, O. Mattelaer, and R. Rietkerk Automatic spin-entangled decays of heavy resonances in Monte Carlo simulations JHEP 03 (2013) 015 1212.3460
26 I. Anderson et al. Constraining anomalous HVV interactions at proton and lepton colliders PRD 89 (2014) 035007 1309.4819
27 A. V. Gritsan et al. New features in the JHU generator framework: constraining Higgs boson properties from on-shell and off-shell production PRD 102 (2020) 056022 2002.09888
28 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
29 T. Sjöstrand et al. An introduction to PYTHIA 8.2 Comput. Phys. Commun. 191 (2015) 159 1410.3012
30 CMS Collaboration Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements EPJC 80 (2020) 4 CMS-GEN-17-001
1903.12179
31 \GEANTfour Collaboration $ GEANT $ 4 --- a simulation toolkit NIM A 506 (2003) 250
32 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
33 CMS Collaboration Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015
CDS
34 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\mathrm{T}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
35 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
36 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
37 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
38 CMS Collaboration Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV JINST 12 (2017) P02014 CMS-JME-13-004
1607.03663
39 CMS Collaboration Performance of missing transverse momentum reconstruction in proton-proton collisions at $ \sqrt{s} = $ 13 TeV using the CMS detector JINST 14 (2019) P07004 CMS-JME-17-001
1903.06078
40 CMS Collaboration Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC JINST 16 (2021) P05014 CMS-EGM-17-001
2012.06888
41 CMS Collaboration Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s}= $ 13 TeV JINST 13 (2018) P06015 CMS-MUO-16-001
1804.04528
42 CMS Collaboration Performance of reconstruction and identification of $ \tau $ leptons decaying to hadrons and $ \nu_\tau $ in pp collisions at $ \sqrt{s}= $ 13 TeV JINST 13 (2018) P10005 CMS-TAU-16-003
1809.02816
43 CMS Collaboration Identification of hadronic tau lepton decays using a deep neural network JINST 17 (2022) P07023 CMS-TAU-20-001
2201.08458
44 A. Hayrapetyan et al. Identification of tau leptons using a convolutional neural network with domain adaptation Journal of Instrumentation 20 (2025) P12032 2511.05468
45 CMS Collaboration Comparison of the performance of tau reconstruction and identification algorithms in Run 3 CDS
46 CMS Collaboration Measurement of Higgs boson production and properties in the WW Decay channel with leptonic final states JHEP 01 (2014) 096 CMS-HIG-13-023
1312.1129
47 H. Voss, A. Höcker, J. Stelzer, and F. Tegenfeldt TMVA, the toolkit for multivariate data analysis with ROOT in XIth International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT),.. [PoS(ACAT)040], 2007
link
physics/0703039
48 A. J. Barr et al. Guide to transverse projections and mass-constraining variables Physical Review D 84 (2011) 1105.2977
49 A. J. Barr et al. Guide to transverse projections and mass-constraining variables PRD 84 (2011) 095031 1105.2977
50 S. S. Wilks The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses Annals Math. Statist. 9 (1938) 60
51 CMS Collaboration The CMS Statistical Analysis and Combination Tool: Combine Comput. Softw. Big Sci. 8 (2024) 19 CMS-CAT-23-001
2404.06614
52 W. Verkerke and D. P. Kirkby The RooFit toolkit for data modeling eConf C0303241 MOLT007, 2003 physics/0306116
53 L. Moneta et al. The RooStats Project PoS ACAT 057, 2010
link
1009.1003
54 CMS Collaboration Luminosity measurement in proton-proton collisions at 13.6 TeV in 2022 at CMS CMS Physics Analysis Summary, 2024
CMS-PAS-LUM-22-001
CMS-PAS-LUM-22-001
55 J. Butterworth et al. PDF4LHC recommendations for LHC Run II JPG 43 (2016) 023001 1510.03865
56 CMS Collaboration Investigations of the impact of the parton shower tuning in \mboxPYTHIA8 in the modelling of $ \mathrm{t} \overline{\mathrm{t}} $ at $ \sqrt{s}= $ 8 and 13 TeV CMS Physics Analysis Summary, 2016
CMS-PAS-TOP-16-021
CMS-PAS-TOP-16-021
57 ATLAS and CMS Collaborations Improved common $ \mathrm{t} \overline{\mathrm{t}} $ Monte Carlo settings for ATLAS and CMS Technical Report CMS-NOTE-2023-004, ATL-PHYS-PUB-2023-016, 2023
58 CMS Collaboration Measurement of differential cross sections for top quark pair production using the lepton+jets final state in proton-proton collisions at 13 TeV PRD 95 (2017) 092001 CMS-TOP-16-008
1610.04191
59 CMS Collaboration Measurement of the differential cross section for top quark pair production in $ {\mathrm{p}\mathrm{p}} $ collisions at $ \sqrt{s} = $ 8 TeV EPJC 75 (2015) 542 CMS-TOP-12-028
1505.04480
60 CMS Collaboration Measurement of the $ \mathrm{t} \overline{\mathrm{t}} $ production cross section in the all-jets final state in $ {\mathrm{p}\mathrm{p}} $ collisions at $ \sqrt{s}= $ 8 TeV EPJC 76 (2016) 128 CMS-TOP-14-018
1509.06076
61 M. Czakon et al. Top-pair production at the LHC through NNLO QCD and NLO EW JHEP 10 (2017) 186 1705.04105
62 Particle Data Group Collaboration Collaboration Review of particle physics PRD 110 (2024) 030001
63 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics [Erratum: Eur.Phys.J.C 73, 2501 ()], 2011
EPJC 71 (2011) 1554
1007.1727
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