CMSHIG19011 ; CERNEP2024179  
Measurement of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ production rates in the $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ decay channel using protonproton collision data at $ \sqrt{s} = $ 13 TeV  
CMS Collaboration  
15 July 2024  
Submitted to J. High Energy Phys.  
Abstract: An analysis of the production of a Higgs boson (H) in association with a top quarkantiquark pair ($ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $) or a single top quark ($ \mathrm{t}\mathrm{H} $) is presented. The Higgs boson decay into a bottom quarkantiquark pair ($ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $) is targeted, and three different final states of the top quark decays are considered, defined by the number of leptons (electrons or muons) in the event. The analysis utilises protonproton collision data collected at the CERN LHC with the CMS experiment at $ \sqrt{s}= $ 13 TeV in 20162018, which correspond to an integrated luminosity of 138 fb$^{1}$. The observed $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ production rate relative to the standard model expectation is 0.33 $ \pm $ 0.26 $ = $ 0.33 $ \pm $ 0.17 (stat) $ \pm $ 0.21 (syst). Additionally, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ production rate is determined in intervals of Higgs boson transverse momentum. An upper limit at 95% confidence level is set on the $ \mathrm{t}\mathrm{H} $ production rate of 14.6 times the standard model prediction, with an expectation of 19.3$ ^{+9.2}_{6.0} $. Finally, constraints are derived on the strength and structure of the coupling between the Higgs boson and the top quark from simultaneous extraction of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ production rates, and the results are combined with those obtained in other Higgs boson decay channels.  
Links: eprint arXiv:2407.10896 [hepex] (PDF) ; CDS record ; inSPIRE record ; HepData record ; CADI line (restricted) ; 
Figures  
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Figure 1:
Representative leading order Feynman diagrams for the associated production of a Higgs boson and a top quarkantiquark pair (left) and for the associated production of a single top quark and a Higgs boson in the $ t $ channel, where the Higgs boson couples to the top quark (centre) or the W boson (right). The $ \kappa_{\mathrm{t}} $ (red) and $ \kappa_{\mathrm{V}} $ (blue) denote the Higgs boson coupling strength to top quarks and vector bosons, respectively. 
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Figure 1a:
Representative leading order Feynman diagrams for the associated production of a Higgs boson and a top quarkantiquark pair (left) and for the associated production of a single top quark and a Higgs boson in the $ t $ channel, where the Higgs boson couples to the top quark (centre) or the W boson (right). The $ \kappa_{\mathrm{t}} $ (red) and $ \kappa_{\mathrm{V}} $ (blue) denote the Higgs boson coupling strength to top quarks and vector bosons, respectively. 
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Figure 1b:
Representative leading order Feynman diagrams for the associated production of a Higgs boson and a top quarkantiquark pair (left) and for the associated production of a single top quark and a Higgs boson in the $ t $ channel, where the Higgs boson couples to the top quark (centre) or the W boson (right). The $ \kappa_{\mathrm{t}} $ (red) and $ \kappa_{\mathrm{V}} $ (blue) denote the Higgs boson coupling strength to top quarks and vector bosons, respectively. 
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Figure 1c:
Representative leading order Feynman diagrams for the associated production of a Higgs boson and a top quarkantiquark pair (left) and for the associated production of a single top quark and a Higgs boson in the $ t $ channel, where the Higgs boson couples to the top quark (centre) or the W boson (right). The $ \kappa_{\mathrm{t}} $ (red) and $ \kappa_{\mathrm{V}} $ (blue) denote the Higgs boson coupling strength to top quarks and vector bosons, respectively. 
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Figure 2:
Jet multiplicity distribution in the FH (upper left), SL (upper right), and DL (lower) channels, after the baseline selection and prior to the fit to the data. Here, the QCD multijet background prediction is taken from simulation. The different $ {\mathrm{t}\overline{\mathrm{t}}} +\text{jets} $ background contributions ($ {\mathrm{t}\overline{\mathrm{t}}} \text{LF} $, $ {\mathrm{t}\overline{\mathrm{t}}} \text{B} $, and $ {\mathrm{t}\overline{\mathrm{t}}} \text{C} $) are discussed in Section 7. The expected $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled as indicated in the legend for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. The last bin in each distribution includes the overflow events. 
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Figure 2a:
Jet multiplicity distribution in the FH (upper left), SL (upper right), and DL (lower) channels, after the baseline selection and prior to the fit to the data. Here, the QCD multijet background prediction is taken from simulation. The different $ {\mathrm{t}\overline{\mathrm{t}}} +\text{jets} $ background contributions ($ {\mathrm{t}\overline{\mathrm{t}}} \text{LF} $, $ {\mathrm{t}\overline{\mathrm{t}}} \text{B} $, and $ {\mathrm{t}\overline{\mathrm{t}}} \text{C} $) are discussed in Section 7. The expected $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled as indicated in the legend for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. The last bin in each distribution includes the overflow events. 
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Figure 2b:
Jet multiplicity distribution in the FH (upper left), SL (upper right), and DL (lower) channels, after the baseline selection and prior to the fit to the data. Here, the QCD multijet background prediction is taken from simulation. The different $ {\mathrm{t}\overline{\mathrm{t}}} +\text{jets} $ background contributions ($ {\mathrm{t}\overline{\mathrm{t}}} \text{LF} $, $ {\mathrm{t}\overline{\mathrm{t}}} \text{B} $, and $ {\mathrm{t}\overline{\mathrm{t}}} \text{C} $) are discussed in Section 7. The expected $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled as indicated in the legend for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. The last bin in each distribution includes the overflow events. 
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Figure 2c:
Jet multiplicity distribution in the FH (upper left), SL (upper right), and DL (lower) channels, after the baseline selection and prior to the fit to the data. Here, the QCD multijet background prediction is taken from simulation. The different $ {\mathrm{t}\overline{\mathrm{t}}} +\text{jets} $ background contributions ($ {\mathrm{t}\overline{\mathrm{t}}} \text{LF} $, $ {\mathrm{t}\overline{\mathrm{t}}} \text{B} $, and $ {\mathrm{t}\overline{\mathrm{t}}} \text{C} $) are discussed in Section 7. The expected $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled as indicated in the legend for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. The last bin in each distribution includes the overflow events. 
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Figure 3:
Average $ \Delta\eta $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified with the reconstruction BDT for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ hypothesis (lower) for events passing the baseline selection requirements and additionally $ \geq $6 jets in the SL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 25 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 3a:
Average $ \Delta\eta $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified with the reconstruction BDT for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ hypothesis (lower) for events passing the baseline selection requirements and additionally $ \geq $6 jets in the SL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 25 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 3b:
Average $ \Delta\eta $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified with the reconstruction BDT for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ hypothesis (lower) for events passing the baseline selection requirements and additionally $ \geq $6 jets in the SL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 25 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 3c:
Average $ \Delta\eta $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified with the reconstruction BDT for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ hypothesis (lower) for events passing the baseline selection requirements and additionally $ \geq $6 jets in the SL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 25 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 3d:
Average $ \Delta\eta $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified with the reconstruction BDT for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ hypothesis (lower) for events passing the baseline selection requirements and additionally $ \geq $6 jets in the SL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 25 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 3e:
Average $ \Delta\eta $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified with the reconstruction BDT for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ hypothesis (lower) for events passing the baseline selection requirements and additionally $ \geq $6 jets in the SL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 25 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 3f:
Average $ \Delta\eta $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified with the reconstruction BDT for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ hypothesis (lower) for events passing the baseline selection requirements and additionally $ \geq $6 jets in the SL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 25 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 4:
Minimum $ \Delta R $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of btagged jets closest in $ \Delta R $ (lower) for events passing the baseline selection requirements and additionally $ \geq $4 jets in the DL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 50 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 4a:
Minimum $ \Delta R $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of btagged jets closest in $ \Delta R $ (lower) for events passing the baseline selection requirements and additionally $ \geq $4 jets in the DL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 50 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 4b:
Minimum $ \Delta R $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of btagged jets closest in $ \Delta R $ (lower) for events passing the baseline selection requirements and additionally $ \geq $4 jets in the DL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 50 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 4c:
Minimum $ \Delta R $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of btagged jets closest in $ \Delta R $ (lower) for events passing the baseline selection requirements and additionally $ \geq $4 jets in the DL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 50 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 4d:
Minimum $ \Delta R $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of btagged jets closest in $ \Delta R $ (lower) for events passing the baseline selection requirements and additionally $ \geq $4 jets in the DL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 50 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 4e:
Minimum $ \Delta R $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of btagged jets closest in $ \Delta R $ (lower) for events passing the baseline selection requirements and additionally $ \geq $4 jets in the DL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 50 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 4f:
Minimum $ \Delta R $ between any two btagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of btagged jets closest in $ \Delta R $ (lower) for events passing the baseline selection requirements and additionally $ \geq $4 jets in the DL channel prefit (left) and with the postfit background model (right) obtained from the fit to data described in Section 10. In the prefit case, the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal contribution, scaled by a factor 50 for better visibility, is also overlayed (line). The uncertainty band represents the total (statistical and systematic) uncertainty. Where applicable, the last bin in each distribution includes the overflow events. 
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Figure 5:
Illustration of the analysis strategy for the inclusive $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ production rate, coupling, and $ C\hspace{.08em}P $ measurements (upper), and for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ STXS measurement (lower). The procedure is applied separately for the three years of data taking. 
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Figure 5a:
Illustration of the analysis strategy for the inclusive $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ production rate, coupling, and $ C\hspace{.08em}P $ measurements (upper), and for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ STXS measurement (lower). The procedure is applied separately for the three years of data taking. 
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Figure 5b:
Illustration of the analysis strategy for the inclusive $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ production rate, coupling, and $ C\hspace{.08em}P $ measurements (upper), and for the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ STXS measurement (lower). The procedure is applied separately for the three years of data taking. 
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Figure 6:
Categorisation efficiency of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal events in the STXS analysis in the different categories of the FH channel (upper row, middle row left), the SL channel (middle row right, lower row left), and the DL channel (lower row right). 
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Figure 6a:
Categorisation efficiency of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal events in the STXS analysis in the different categories of the FH channel (upper row, middle row left), the SL channel (middle row right, lower row left), and the DL channel (lower row right). 
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Figure 6b:
Categorisation efficiency of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal events in the STXS analysis in the different categories of the FH channel (upper row, middle row left), the SL channel (middle row right, lower row left), and the DL channel (lower row right). 
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Figure 6c:
Categorisation efficiency of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal events in the STXS analysis in the different categories of the FH channel (upper row, middle row left), the SL channel (middle row right, lower row left), and the DL channel (lower row right). 
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Figure 6d:
Categorisation efficiency of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal events in the STXS analysis in the different categories of the FH channel (upper row, middle row left), the SL channel (middle row right, lower row left), and the DL channel (lower row right). 
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Figure 6e:
Categorisation efficiency of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal events in the STXS analysis in the different categories of the FH channel (upper row, middle row left), the SL channel (middle row right, lower row left), and the DL channel (lower row right). 
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Figure 6f:
Categorisation efficiency of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal events in the STXS analysis in the different categories of the FH channel (upper row, middle row left), the SL channel (middle row right, lower row left), and the DL channel (lower row right). 
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Figure 7:
Observed (points) and postfit expected (filled histograms) yields in each discriminant (category yield, ANN score, or ratio of ANN scores) bin for the 2016 (upper), 2017 (middle), and 2018 (lower) datataking periods. The uncertainty bands include the total uncertainty of the fit model. The lower pads show the ratio of the data to the background (points) and of the postfit expected signal+background to the backgroundonly contribution (line). 
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Figure 7a:
Observed (points) and postfit expected (filled histograms) yields in each discriminant (category yield, ANN score, or ratio of ANN scores) bin for the 2016 (upper), 2017 (middle), and 2018 (lower) datataking periods. The uncertainty bands include the total uncertainty of the fit model. The lower pads show the ratio of the data to the background (points) and of the postfit expected signal+background to the backgroundonly contribution (line). 
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Figure 7b:
Observed (points) and postfit expected (filled histograms) yields in each discriminant (category yield, ANN score, or ratio of ANN scores) bin for the 2016 (upper), 2017 (middle), and 2018 (lower) datataking periods. The uncertainty bands include the total uncertainty of the fit model. The lower pads show the ratio of the data to the background (points) and of the postfit expected signal+background to the backgroundonly contribution (line). 
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Figure 7c:
Observed (points) and postfit expected (filled histograms) yields in each discriminant (category yield, ANN score, or ratio of ANN scores) bin for the 2016 (upper), 2017 (middle), and 2018 (lower) datataking periods. The uncertainty bands include the total uncertainty of the fit model. The lower pads show the ratio of the data to the background (points) and of the postfit expected signal+background to the backgroundonly contribution (line). 
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Figure 8:
Best fit results $ \hat{\mu} $ of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signalstrength modifier $ \mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ in each channel (upper three rows), in each year (middle three rows), and in the combination of all channels and years (lower row). Uncertainties are correlated between the channels and years. 
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Figure 9:
Observed likelihoodratio test statistic (blue shading) as a function of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signalstrength modifier $ \mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ and the $ {\mathrm{t}\overline{\mathrm{t}}} \text{B} $ background normalisation, together with the observed (blue) and SM expected (black) best fit points (cross and diamond markers) as well as the 68% (solid lines) and 95% (dashed lines) CL regions. The $ {\mathrm{t}\overline{\mathrm{t}}} \text{C} $ background normalisation and all other nuisance parameters are profiled such that the likelihood attains its minimum at each point in the plane. 
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Figure 10:
Postfit values of the nuisance parameters (black markers), shown as the difference of their best fit values, $ \hat{\theta} $, and prefit values, $ \theta_{0} $, relative to the prefit uncertainties $ \Delta\theta $. The impact $ \Delta\hat{\mu} $ of the nuisance parameters on the signal strength $ \mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ is computed as the difference of the nominal best fit value of $ \mu $ and the best fit value obtained when fixing the nuisance parameter under scrutiny to its best fit value $ \hat{\theta} $ plus/minus its postfit uncertainty (coloured areas). The nuisance parameters are ordered by their impact, and only the 20 highest ranked parameters are shown. 
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Figure 11:
Observed (points) and postfit expected (filled histograms) yields in each STXS analysis discriminant bin in the signal regions of the SL and DL channels for the 2016 (upper), 2017 (middle), and 2018 (lower) datataking periods. The vertical dashed lines separate the STXS categories (labelled 1 to 5). The fitted signal distributions (lines labelled $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ 1 to 5) in each $ p_{\mathrm{T}}^{\mathrm{H}} $ bin are shown in the middle pads. The lower pads show the ratio of the data to the background (points) and of the postfit expected total signal+background to the backgroundonly contribution (line). The uncertainty bands include the total uncertainty of the fit model. 
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Figure 11a:
Observed (points) and postfit expected (filled histograms) yields in each STXS analysis discriminant bin in the signal regions of the SL and DL channels for the 2016 (upper), 2017 (middle), and 2018 (lower) datataking periods. The vertical dashed lines separate the STXS categories (labelled 1 to 5). The fitted signal distributions (lines labelled $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ 1 to 5) in each $ p_{\mathrm{T}}^{\mathrm{H}} $ bin are shown in the middle pads. The lower pads show the ratio of the data to the background (points) and of the postfit expected total signal+background to the backgroundonly contribution (line). The uncertainty bands include the total uncertainty of the fit model. 
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Figure 11b:
Observed (points) and postfit expected (filled histograms) yields in each STXS analysis discriminant bin in the signal regions of the SL and DL channels for the 2016 (upper), 2017 (middle), and 2018 (lower) datataking periods. The vertical dashed lines separate the STXS categories (labelled 1 to 5). The fitted signal distributions (lines labelled $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ 1 to 5) in each $ p_{\mathrm{T}}^{\mathrm{H}} $ bin are shown in the middle pads. The lower pads show the ratio of the data to the background (points) and of the postfit expected total signal+background to the backgroundonly contribution (line). The uncertainty bands include the total uncertainty of the fit model. 
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Figure 11c:
Observed (points) and postfit expected (filled histograms) yields in each STXS analysis discriminant bin in the signal regions of the SL and DL channels for the 2016 (upper), 2017 (middle), and 2018 (lower) datataking periods. The vertical dashed lines separate the STXS categories (labelled 1 to 5). The fitted signal distributions (lines labelled $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ 1 to 5) in each $ p_{\mathrm{T}}^{\mathrm{H}} $ bin are shown in the middle pads. The lower pads show the ratio of the data to the background (points) and of the postfit expected total signal+background to the backgroundonly contribution (line). The uncertainty bands include the total uncertainty of the fit model. 
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Figure 12:
Best fit results $ \hat{\mu} $ of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signalstrength modifiers $ \mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ in the different $ p_{\mathrm{T}}^{\mathrm{H}} $ bins (left) and their correlations (right) of the STXS measurement. 
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Figure 12a:
Best fit results $ \hat{\mu} $ of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signalstrength modifiers $ \mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ in the different $ p_{\mathrm{T}}^{\mathrm{H}} $ bins (left) and their correlations (right) of the STXS measurement. 
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Figure 12b:
Best fit results $ \hat{\mu} $ of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signalstrength modifiers $ \mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ in the different $ p_{\mathrm{T}}^{\mathrm{H}} $ bins (left) and their correlations (right) of the STXS measurement. 
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Figure 13:
Observed (solid vertical line) and expected (dashed vertical line) upper 95% CL limit on the $ \mathrm{t}\mathrm{H} $ signal strength modifier $ \mu_{\mathrm{t}\mathrm{H}} $ for different channels and years, where the uncertainties are uncorrelated between the channels and years, and in their combination. The green (yellow) areas indicate the one (two) standard deviation confidence intervals on the expected limit. 
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Figure 14:
Observed likelihoodratio test statistic (blue shading) as a function of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ signal strength modifiers $ \mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ and $ \mu_{\mathrm{t}\mathrm{H}} $, together with the observed (blue) and SM expected (black) best fit points (cross and diamond markers) as well as the 68% (solid lines) and 95% (dashed lines) CL regions. 
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Figure 15:
Observed likelihood ratio test statistic (blue shading) as a function of $ \kappa_{\mathrm{t}} $ and $ \kappa_{\mathrm{V}} $, together with the observed (blue) and SM expected (black) best fit points (cross and diamond markers) as well as the 68% (solid lines) and 95% (dashed lines) CL regions (left). The observed (solid blue line) and expected (dotted black line) values of the likelihood ratio for $ \kappa_{\mathrm{V}}= $ 1 are also shown (right). 
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Figure 15a:
Observed likelihood ratio test statistic (blue shading) as a function of $ \kappa_{\mathrm{t}} $ and $ \kappa_{\mathrm{V}} $, together with the observed (blue) and SM expected (black) best fit points (cross and diamond markers) as well as the 68% (solid lines) and 95% (dashed lines) CL regions (left). The observed (solid blue line) and expected (dotted black line) values of the likelihood ratio for $ \kappa_{\mathrm{V}}= $ 1 are also shown (right). 
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Figure 15b:
Observed likelihood ratio test statistic (blue shading) as a function of $ \kappa_{\mathrm{t}} $ and $ \kappa_{\mathrm{V}} $, together with the observed (blue) and SM expected (black) best fit points (cross and diamond markers) as well as the 68% (solid lines) and 95% (dashed lines) CL regions (left). The observed (solid blue line) and expected (dotted black line) values of the likelihood ratio for $ \kappa_{\mathrm{V}}= $ 1 are also shown (right). 
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Figure 16:
Observed likelihood ratio test statistic (blue shading) as a function of $ \kappa_{\mathrm{t}} $ and $ \widetilde{\kappa}_{\mathrm{t}} $, where $ \kappa_{\mathrm{V}}= $ 1, together with the observed (blue) and SM expected (black) best fit points (cross and diamond markers) as well as the 68% (solid lines) and 95% (region between dashed lines) CL regions. 
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Figure 17:
Observed (solid blue line) and expected (dotted black line) likelihood ratio test statistic as a function of $ f_{C\hspace{.08em}P} $ (left) and $ \cos\alpha $ (right), where $ \kappa_{\mathrm{V}} $ is 1 and $ \kappa^{\prime}_{\mathrm{t}}=\sqrt{\smash[b]{\widetilde{\kappa}_{\mathrm{t}}^{2}+\kappa_{\mathrm{t}}^{2}}} $, the overall modifier of the topHiggs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane. 
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Figure 17a:
Observed (solid blue line) and expected (dotted black line) likelihood ratio test statistic as a function of $ f_{C\hspace{.08em}P} $ (left) and $ \cos\alpha $ (right), where $ \kappa_{\mathrm{V}} $ is 1 and $ \kappa^{\prime}_{\mathrm{t}}=\sqrt{\smash[b]{\widetilde{\kappa}_{\mathrm{t}}^{2}+\kappa_{\mathrm{t}}^{2}}} $, the overall modifier of the topHiggs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane. 
png pdf 
Figure 17b:
Observed (solid blue line) and expected (dotted black line) likelihood ratio test statistic as a function of $ f_{C\hspace{.08em}P} $ (left) and $ \cos\alpha $ (right), where $ \kappa_{\mathrm{V}} $ is 1 and $ \kappa^{\prime}_{\mathrm{t}}=\sqrt{\smash[b]{\widetilde{\kappa}_{\mathrm{t}}^{2}+\kappa_{\mathrm{t}}^{2}}} $, the overall modifier of the topHiggs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane. 
png pdf 
Figure 18:
Observed 68% (solid lines) and 95% (dashed lines) CL regions of the likelihood ratio test statistic as a function of $ \kappa_{\mathrm{t}} $ and $ \widetilde{\kappa}_{\mathrm{t}} $, where $ \kappa_{\mathrm{V}}= $ 1, and best fit values (crosses), for the $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ decay channel (blue), the $ \mathrm{H}\to\gamma\gamma $ and $ \mathrm{H}\to\mathrm{Z}\mathrm{Z} $ channels (cyan), the $ \mathrm{H}\to\mathrm{W}\mathrm{W} $ and $ \mathrm{H}\to\tau\tau $ channels (green), and for the combination of all channels (red). The SM expected CL regions (black lines) and best fit values (black diamonds) are superimposed. 
png pdf 
Figure 19:
Observed (solid lines) and expected (dotted lines) likelihood ratio test statistic as a function of $ f_{C\hspace{.08em}P} $ (left) and $ \cos\alpha $ (right), where $ \kappa_{\mathrm{V}} $ is 1 and $ \kappa^{\prime}_{\mathrm{t}}=\sqrt{\smash[b]{\widetilde{\kappa}_{\mathrm{t}}^{2}+\kappa_{\mathrm{t}}^{2}}} $, the overall modifier of the topHiggs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane, for the $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ decay channel (blue), the $ \mathrm{H}\to\gamma\gamma $ and $ \mathrm{H}\to\mathrm{Z}\mathrm{Z} $ channels (cyan), the $ \mathrm{H}\to\mathrm{W}\mathrm{W} $ and $ \mathrm{H}\to\tau\tau $ channels (green), and for the combination of all channels (red). 
png pdf 
Figure 19a:
Observed (solid lines) and expected (dotted lines) likelihood ratio test statistic as a function of $ f_{C\hspace{.08em}P} $ (left) and $ \cos\alpha $ (right), where $ \kappa_{\mathrm{V}} $ is 1 and $ \kappa^{\prime}_{\mathrm{t}}=\sqrt{\smash[b]{\widetilde{\kappa}_{\mathrm{t}}^{2}+\kappa_{\mathrm{t}}^{2}}} $, the overall modifier of the topHiggs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane, for the $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ decay channel (blue), the $ \mathrm{H}\to\gamma\gamma $ and $ \mathrm{H}\to\mathrm{Z}\mathrm{Z} $ channels (cyan), the $ \mathrm{H}\to\mathrm{W}\mathrm{W} $ and $ \mathrm{H}\to\tau\tau $ channels (green), and for the combination of all channels (red). 
png pdf 
Figure 19b:
Observed (solid lines) and expected (dotted lines) likelihood ratio test statistic as a function of $ f_{C\hspace{.08em}P} $ (left) and $ \cos\alpha $ (right), where $ \kappa_{\mathrm{V}} $ is 1 and $ \kappa^{\prime}_{\mathrm{t}}=\sqrt{\smash[b]{\widetilde{\kappa}_{\mathrm{t}}^{2}+\kappa_{\mathrm{t}}^{2}}} $, the overall modifier of the topHiggs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane, for the $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ decay channel (blue), the $ \mathrm{H}\to\gamma\gamma $ and $ \mathrm{H}\to\mathrm{Z}\mathrm{Z} $ channels (cyan), the $ \mathrm{H}\to\mathrm{W}\mathrm{W} $ and $ \mathrm{H}\to\tau\tau $ channels (green), and for the combination of all channels (red). 
Tables  
png pdf 
Table 1:
Trigger selection criteria in the fully hadronic (FH) channel. Multiple criteria, each represented by one row, are used per year and combined with a logical OR. In the case of the fourjet trigger, the minimum jet $ p_{\mathrm{T}} $ is different for each jet and separated by a slash (/). 
png pdf 
Table 2:
Trigger selection criteria in the singlelepton (SL) channel. Multiple criteria per lepton flavour, each represented by one row, are used per year and combined with a logical OR. 
png pdf 
Table 3:
Trigger selection criteria in the dilepton (DL) channel. Multiple criteria per lepton flavour, each represented by one row, are used per year and combined with a logical OR. 
png pdf 
Table 4:
Generator version and configuration of the $ {\mathrm{t}\overline{\mathrm{t}}} $ and $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{b}\overline{\mathrm{b}} $ samples. The parameters \mit and \mib denote the top quark and bottom quark mass, respectively, \mtit, \mtib, and \mti$ \mathrm{g} $ the transverse mass of the top quark, the bottom quark, and additional gluons, respectively, and $ h_{\text{damp}} $ the parton shower matching scale. 
png pdf 
Table 5:
Baseline selection criteria in the fully hadronic (FH), singlelepton (SL), and dilepton (DL) channels based on the observables defined in the text. Leptons and jets are ranked in $ p_{\mathrm{T}} $. The $ \ast $ indicates that the requirement is only applied to the sameflavour DL channels. Where the criteria differ per year of data taking, they are quoted as three values, corresponding to 2016/2017/2018, respectively. 
png pdf 
Table 6:
Observables used as input variables to the primary ANNs ($ \times $) and STXS ANNs ($ \circ $) per channel. Categories are labelled as ``$ < $(min.) number jets$ >< $min.\ number btagged jets$ > $'', $ \mbox{e.g.} $ the FH ($ \geq $9\,jets, $ \geq $4\,b\,tags) category is labelled as ``94''. The $ \dagger $ indicates that the observable is constructed using information from the BDTbased event reconstruction. 
png pdf 
Table 7:
Categorisation scheme in the FH channel, applied independently in each jetmultiplicity category. The \mi$ \mathrm{q} \mathrm{q} $ selection criteria refer to events with 7 or 8 ($ \geq $9) jets. 
png pdf 
Table 8:
Systematic uncertainties considered in the analysis. ``Type'' refers to rate (R) or rate and shape (S) altering uncertainties. ``Correlation'' indicates whether the uncertainty is treated as correlated, partially correlated (as detailed in the text), or uncorrelated across the years 201618. Uncertainties for $ {\mathrm{t}\overline{\mathrm{t}}} +\text{jets} $ events marked with a $ ^{\dagger} $ are treated as partially correlated between each of the STXS categories and the other categories in the STXS analysis. 
png pdf 
Table 9:
Contributions of different sources of uncertainty to the result for the fit to the data (observed) and to the expectation from simulation (expected). The quoted uncertainties $ \Delta\mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ in $ \mu_{{\mathrm{t}\overline{\mathrm{t}}} \mathrm{H}} $ are obtained by fixing the listed sources of uncertainties to their postfit values in the fit and subtracting the obtained result in quadrature from the result of the full fit. The statistical uncertainty is evaluated by fixing all nuisance parameters to their postfit values and repeating the fit. The quadratic sum of the contributions is different from the total uncertainty because of correlations between the nuisance parameters. 
Summary 
A combined analysis of the associated production of a Higgs boson (H) with a top quarkantiquark pair ($ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $) or a single top quark ($ \mathrm{t}\mathrm{H} $) with the Higgs boson decaying into a bottom quarkantiquark pair has been presented. The analysis has been performed using proton proton collision data recorded with the CMS detector at a centreofmass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb$^{1}$. Candidate events are selected in mutually exclusive categories according to the lepton and jet multiplicity, targeting three different final states of the top quark decays. Neural network discriminants are used to further categorise the events according to the most probable process, targeting the signal and different topologies of the dominant $ {\mathrm{t}\overline{\mathrm{t}}} +\text{jets} $ background, as well as to separate the signal from the background. Compared to previous CMS results in this channel, which were obtained with an approximately four times smaller dataset, several refinements of the analysis strategy as well as modelling of the $ {\mathrm{t}\overline{\mathrm{t}}} +\text{jets} $ background based on stateofthe art $ {\mathrm{t}\overline{\mathrm{t}}} +\mathrm{b}\overline{\mathrm{b}} $ simulations have been adopted. Furthermore, an extended set of interpretations is performed, including the first analysis within the simplified template cross section (STXS) framework and the first analysis of the $ C\hspace{.08em}P $ structure of the topHiggs coupling in this channel by the CMS Collaboration. A best fit value of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ production cross section relative to the standard model (SM) expectation of 0.33 $ \pm $ 0.26 $ = $ 0.33 $ \pm $ 0.17 (stat) $ \pm $ 0.21 (syst) is obtained. The result is compatible with the value reported by the ATLAS Collaboration [11]. The observed rate of the dominant background from $ {\mathrm{t}\overline{\mathrm{t}}} +\mathrm{b}\overline{\mathrm{b}} $ production is larger than predicted, in agreement with dedicated measurements of the process [85], and the results motivate further studies of $ {\mathrm{t}\overline{\mathrm{t}}} +\mathrm{b}\overline{\mathrm{b}} $ production. The analysis is additionally performed within the STXS framework in five intervals of Higgs boson $ p_{\mathrm{T}} $, probing potential $ p_{\mathrm{T}} $ dependent deviations from the SM expectation. An observed (expected) upper limit on the $ \mathrm{t}\mathrm{H} $ production cross section relative to the SM expectation of 14.6 (19.3) at 95% confidence level (CL) is derived. Information on the Higgs boson coupling strength is furthermore inferred from a simultaneous fit of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ production rates, probing either the coupling strength of the Higgs boson to top quarks and to heavy vector bosons, or possible $ C\hspace{.08em}P $odd admixtures in the coupling between the Higgs boson and top quarks. The results on the $ C\hspace{.08em}P $ nature of the coupling are combined with those from measurements in other Higgs boson decay channels, constraining the $ C\hspace{.08em}P $odd fraction $ f_{C\hspace{.08em}P} $ to $ f_{C\hspace{.08em}P} < $ 0.85 and the $ C\hspace{.08em}P $ mixing angle $ \cos\alpha $ to $ \cos\alpha > $ 0.39 at 95% CL. 
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