CMS-HIG-19-011 ; CERN-EP-2024-179 | ||
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 proton-proton 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 quark-antiquark pair ($ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $) or a single top quark ($ \mathrm{t}\mathrm{H} $) is presented. The Higgs boson decay into a bottom quark-antiquark pair ($ \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 proton-proton collision data collected at the CERN LHC with the CMS experiment at $ \sqrt{s}= $ 13 TeV in 2016-2018, 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: e-print arXiv:2407.10896 [hep-ex] (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 quark-antiquark 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 1-a:
Representative leading order Feynman diagrams for the associated production of a Higgs boson and a top quark-antiquark 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 1-b:
Representative leading order Feynman diagrams for the associated production of a Higgs boson and a top quark-antiquark 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 1-c:
Representative leading order Feynman diagrams for the associated production of a Higgs boson and a top quark-antiquark 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 2-a:
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 2-b:
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 2-c:
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 b-tagged 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 3-a:
Average $ \Delta\eta $ between any two b-tagged 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 3-b:
Average $ \Delta\eta $ between any two b-tagged 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 3-c:
Average $ \Delta\eta $ between any two b-tagged 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 3-d:
Average $ \Delta\eta $ between any two b-tagged 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 3-e:
Average $ \Delta\eta $ between any two b-tagged 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 3-f:
Average $ \Delta\eta $ between any two b-tagged 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 b-tagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of b-tagged 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 4-a:
Minimum $ \Delta R $ between any two b-tagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of b-tagged 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 4-b:
Minimum $ \Delta R $ between any two b-tagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of b-tagged 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 4-c:
Minimum $ \Delta R $ between any two b-tagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of b-tagged 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 4-d:
Minimum $ \Delta R $ between any two b-tagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of b-tagged 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 4-e:
Minimum $ \Delta R $ between any two b-tagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of b-tagged 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 4-f:
Minimum $ \Delta R $ between any two b-tagged jets (upper), MEM discriminant output (middle), and $ p_{\mathrm{T}} $ of the Higgs boson candidate identified as the pair of b-tagged 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 5-a:
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 5-b:
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 6-a:
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 6-b:
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 6-c:
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 6-d:
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 6-e:
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 6-f:
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) data-taking 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 background-only contribution (line). |
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Figure 7-a:
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) data-taking 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 background-only contribution (line). |
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Figure 7-b:
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) data-taking 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 background-only contribution (line). |
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Figure 7-c:
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) data-taking 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 background-only contribution (line). |
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Figure 8:
Best fit results $ \hat{\mu} $ of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal-strength 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 likelihood-ratio test statistic (blue shading) as a function of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal-strength 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) data-taking 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 background-only contribution (line). The uncertainty bands include the total uncertainty of the fit model. |
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Figure 11-a:
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) data-taking 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 background-only contribution (line). The uncertainty bands include the total uncertainty of the fit model. |
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Figure 11-b:
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) data-taking 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 background-only contribution (line). The uncertainty bands include the total uncertainty of the fit model. |
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Figure 11-c:
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) data-taking 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 background-only 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} $ signal-strength 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 12-a:
Best fit results $ \hat{\mu} $ of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal-strength 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 12-b:
Best fit results $ \hat{\mu} $ of the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ signal-strength 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 likelihood-ratio 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 15-a:
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 15-b:
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 top-Higgs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane. |
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Figure 17-a:
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 top-Higgs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane. |
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Figure 17-b:
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 top-Higgs coupling strength, is profiled such that the likelihood attains its minimum at each point in the plane. |
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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. |
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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 top-Higgs 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). |
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Figure 19-a:
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 top-Higgs 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 19-b:
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 top-Higgs 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 | |
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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 four-jet trigger, the minimum jet $ p_{\mathrm{T}} $ is different for each jet and separated by a slash (/). |
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Table 2:
Trigger selection criteria in the single-lepton (SL) channel. Multiple criteria per lepton flavour, each represented by one row, are used per year and combined with a logical OR. |
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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. |
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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. |
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Table 5:
Baseline selection criteria in the fully hadronic (FH), single-lepton (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 same-flavour DL channels. Where the criteria differ per year of data taking, they are quoted as three values, corresponding to 2016/2017/2018, respectively. |
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Table 6:
Observables used as input variables to the primary ANNs ($ \times $) and STXS ANNs ($ \circ $) per channel. Categories are labelled as ``$ < $(min.) number jets$ >-< $min.\ number b-tagged jets$ > $'', $ \mbox{e.g.} $ the FH ($ \geq $9\,jets, $ \geq $4\,b\,tags) category is labelled as ``9-4''. The $ \dagger $ indicates that the observable is constructed using information from the BDT-based event reconstruction. |
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Table 7:
Categorisation scheme in the FH channel, applied independently in each jet-multiplicity category. The \mi$ \mathrm{q} \mathrm{q} $ selection criteria refer to events with 7 or 8 ($ \geq $9) jets. |
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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 2016-18. 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. |
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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 quark-antiquark pair ($ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $) or a single top quark ($ \mathrm{t}\mathrm{H} $) with the Higgs boson decaying into a bottom quark-antiquark pair has been presented. The analysis has been performed using proton proton collision data recorded with the CMS detector at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb$^{-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 state-of-the 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 top-Higgs 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. |
References | ||||
1 | S. Alekhin, A. Djouadi, and S. Moch | The top quark and Higgs boson masses and the stability of the electroweak vacuum | PLB 716 (2012) 214 | 1207.0980 |
2 | B. A. Dobrescu and C. T. Hill | Electroweak symmetry breaking via top condensation seesaw | PRL 81 (1998) 2634 | hep-ph/9712319 |
3 | R. S. Chivukula, B. A. Dobrescu, H. Georgi, and C. T. Hill | Top quark seesaw theory of electroweak symmetry breaking | PRD 59 (1999) 075003 | hep-ph/9809470 |
4 | ATLAS Collaboration | Observation of Higgs boson production in association with a top quark pair at the LHC with the ATLAS detector | PLB 784 (2018) 159 | 1806.00425 |
5 | CMS Collaboration | Observation of $ \mathrm{t}\overline{\mathrm{t}}\mathrm{H} $ production | PRL 120 (2018) 231801 | CMS-HIG-17-035 1804.02610 |
6 | ATLAS Collaboration | Measurement of the properties of Higgs boson production at $ \sqrt{s}= $ 13 TeV in the $ \mathrm{H}\to\gamma\gamma $ channel using 139 fb$ ^{-1} $ of pp collision data with the ATLAS experiment | JHEP 07 (2023) 088 | 2207.00348 |
7 | ATLAS Collaboration | $ CP $ properties of Higgs boson interactions with top quarks in the $ \mathrm{t}\overline{\mathrm{t}}\mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ processes using $ \mathrm{H}\to\gamma\gamma $ with the ATLAS detector | PRL 125 (2020) 061802 | 2004.04545 |
8 | CMS Collaboration | Measurements of $ \mathrm{t}\overline{\mathrm{t}}\mathrm{H} $ production and the CP structure of the Yukawa interaction between the Higgs boson and top quark in the diphoton decay channel | PRL 125 (2020) 061801 | CMS-HIG-19-013 2003.10866 |
9 | CMS Collaboration | Measurements of Higgs boson production cross sections and couplings in the diphoton decay channel at $ \sqrt{s}= $ 13 TeV | JHEP 07 (2021) 027 | CMS-HIG-19-015 2103.06956 |
10 | CMS Collaboration | Measurement of the Higgs boson production rate in association with top quarks in final states with electrons, muons, and hadronically decaying tau leptons at $ \sqrt{s}= $ 13 TeV | EPJC 81 (2021) 378 | CMS-HIG-19-008 2011.03652 |
11 | ATLAS Collaboration | Measurement of Higgs boson decay into b-quarks in associated production with a top-quark pair in pp collisions at $ \sqrt{s}= $ 13 TeV with the ATLAS detector | JHEP 06 (2022) 097 | 2111.06712 |
12 | CMS Collaboration | Search for $ \mathrm{t}\overline{\mathrm{t}}\mathrm{H} $ production in the $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ decay channel with leptonic $ \mathrm{t}\overline{\mathrm{t}} $ decays in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JHEP 03 (2019) 026 | CMS-HIG-17-026 1804.03682 |
13 | CMS Collaboration | Search for $ \mathrm{t}\overline{\mathrm{t}}\mathrm{H} $ production in the all-jet final state in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JHEP 06 (2018) 101 | CMS-HIG-17-022 1803.06986 |
14 | F. Maltoni, K. Paul, T. Stelzer, and S. Willenbrock | Associated production of Higgs and single top at hadron colliders | PRD 64 (2001) 094023 | hep-ph/0106293 |
15 | M. Farina et al. | Lifting degeneracies in Higgs couplings using single top production in association with a Higgs boson | JHEP 05 (2013) 022 | 1211.3736 |
16 | P. Agrawal, S. Mitra, and A. Shivaji | Effect of anomalous couplings on the associated production of a single top quark and a Higgs boson at the LHC | JHEP 12 (2013) 077 | 1211.4362 |
17 | F. Demartin, F. Maltoni, K. Mawatari, and M. Zaro | Higgs production in association with a single top quark at the LHC | EPJC 75 (2015) 267 | 1504.00611 |
18 | CMS Collaboration | Search for associated production of a Higgs boson and a single top quark in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | PRD 99 (2019) 092005 | CMS-HIG-18-009 1811.09696 |
19 | LHC Higgs Cross Section Working Group | Handbook of LHC Higgs cross sections: 4. deciphering the nature of the Higgs sector | 1610.07922 | |
20 | ATLAS Collaboration | Probing the $ CP $ nature of the top-Higgs Yukawa coupling in $ \mathrm{t}\overline{\mathrm{t}}\mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ events with $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ decays using the ATLAS detector at the LHC | PLB 849 (2024) 138469 | 2303.05974 |
21 | CMS Collaboration | HEPData record for this analysis | link | |
22 | CMS Collaboration | The CMS experiment at the CERN LHC | JINST 3 (2008) S08004 | |
23 | CMS Tracker Group Collaboration | The CMS phase-1 pixel detector upgrade | JINST 16 (2021) P02027 | 2012.14304 |
24 | CMS Collaboration | The CMS trigger system | JINST 12 (2017) P01020 | CMS-TRG-12-001 1609.02366 |
25 | 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 |
26 | CMS Collaboration | Precision luminosity measurement in proton-proton collisions at $ \sqrt{s}= $ 13 TeV in 2015 and 2016 at CMS | EPJC 81 (2021) 800 | CMS-LUM-17-003 2104.01927 |
27 | CMS Collaboration | CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s}= $ 13 TeV | CMS Physics Analysis Summary, 2017 CMS-PAS-LUM-17-004 |
CMS-PAS-LUM-17-004 |
28 | CMS Collaboration | CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s}= $ 13 TeV | CMS Physics Analysis Summary, 2018 CMS-PAS-LUM-18-002 |
CMS-PAS-LUM-18-002 |
29 | CMS Collaboration | Performance of the CMS muon trigger system in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JINST 16 (2021) P07001 | CMS-MUO-19-001 2102.04790 |
30 | 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 |
31 | GEANT4 Collaboration | GEANT 4---a simulation toolkit | NIM A 506 (2003) 250 | |
32 | P. Nason | A new method for combining NLO QCD with shower Monte Carlo algorithms | JHEP 11 (2004) 040 | hep-ph/0409146 |
33 | S. Frixione, P. Nason, and C. Oleari | Matching NLO QCD computations with parton shower simulations: the POWHEG method | JHEP 11 (2007) 070 | 0709.2092 |
34 | 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 |
35 | T. Ježo and P. Nason | On the treatment of resonances in next-to-leading order calculations matched to a parton shower | JHEP 12 (2015) 065 | 1509.09071 |
36 | H. B. Hartanto, B. Jager, L. Reina, and D. Wackeroth | Higgs boson production in association with top quarks in the powheg box | PRD 91 (2015) 094003 | 1501.04498 |
37 | 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 |
38 | T. Sjöstrand et al. | An introduction to PYTHIA 8.2 | Comput. Phys. Commun. 191 (2015) 159 | 1410.3012 |
39 | NNPDF Collaboration | Parton distributions from high-precision collider data | EPJC 77 (2017) 663 | 1706.00428 |
40 | NNPDF Collaboration | Parton distributions for the LHC Run II | JHEP 04 (2015) 040 | 1410.8849 |
41 | CMS Collaboration | Extraction and validation of a new set of CMS PYTHIA 8 tunes from underlying-event measurements | EPJC 80 (2020) 4 | CMS-GEN-17-001 1903.12179 |
42 | CMS Collaboration | Event generator tunes obtained from underlying event and multiparton scattering measurements | EPJC 76 (2016) 155 | CMS-GEN-14-001 1512.00815 |
43 | F. Maltoni, G. Ridolfi, and M. Ubiali | b-initiated processes at the LHC: a reappraisal | JHEP 07 (2012) 022 | 1203.6393 |
44 | F. Demartin et al. | $ \mathrm{t}\mathrm{W}\mathrm{H} $ associated production at the LHC | EPJC 77 (2017) 34 | 1607.05862 |
45 | J. S. Gainer et al. | Exploring theory space with Monte Carlo reweighting | JHEP 10 (2014) 078 | 1404.7129 |
46 | O. Mattelaer | On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy | EPJC 76 (2016) 674 | 1607.00763 |
47 | T. Ježo, J. M. Lindert, N. Moretti, and S. Pozzorini | New NLOPS predictions for $ \mathrm{t}\overline{\mathrm{t}}+\mathrm{b} $-jet production at the LHC | EPJC 78 (2018) 502 | 1802.00426 |
48 | F. Buccioni et al. | OpenLoops 2 | EPJC 79 (2019) 866 | 1907.13071 |
49 | F. Cascioli et al. | NLO matching for $ \mathrm{t}\overline{\mathrm{t}}\mathrm{b}\overline{\mathrm{b}} $ production with massive b-quarks | PLB 734 (2014) 210 | 1309.5912 |
50 | F. Buccioni, S. Kallweit, S. Pozzorini, and M. F. Zoller | NLO QCD predictions for $ \mathrm{t}\overline{\mathrm{t}}\mathrm{b}\overline{\mathrm{b}} $ production in association with a light jet at the LHC | JHEP 12 (2019) 015 | 1907.13624 |
51 | S. Alioli, P. Nason, C. Oleari, and E. Re | NLO single-top production matched with shower in POWHEG: $ s $- and $ t $-channel contributions | JHEP 09 (2009) 111 | 0907.4076 |
52 | R. Frederix, E. Re, and P. Torrielli | Single-top $ t $-channel hadroproduction in the four-flavour scheme with POWHEG and aMC@NLO | JHEP 09 (2012) 130 | 1207.5391 |
53 | E. Re | Single-top $ {\mathrm{W}}{\mathrm{t}} $-channel production matched with parton showers using the POWHEG method | EPJC 71 (2011) 1547 | 1009.2450 |
54 | R. Frederix and S. Frixione | Merging meets matching in MC@NLO | JHEP 12 (2012) 061 | 1209.6215 |
55 | 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 |
56 | CMS Collaboration | A measurement of the Higgs boson mass in the diphoton decay channel | PLB 805 (2020) 135425 | CMS-HIG-19-004 2002.06398 |
57 | M. Cacciari et al. | Top-pair production at hadron colliders with next-to-next-to-leading logarithmic soft-gluon resummation | PLB 710 (2012) 612 | 1111.5869 |
58 | P. B ä rnreuther, M. Czakon, and A. Mitov | Percent-level-precision physics at the Tevatron: next-to-next-to-leading order QCD corrections to $ \mathrm{q}\overline{\mathrm{q}}\to\mathrm{t}\overline{\mathrm{t}}\text{+X} $ | PRL 109 (2012) 132001 | 1204.5201 |
59 | M. Czakon and A. Mitov | NNLO corrections to top-pair production at hadron colliders: the all-fermionic scattering channels | JHEP 12 (2012) 054 | 1207.0236 |
60 | M. Czakon and A. Mitov | NNLO corrections to top pair production at hadron colliders: the quark-gluon reaction | JHEP 01 (2013) 080 | 1210.6832 |
61 | M. Beneke, P. Falgari, S. Klein, and C. Schwinn | Hadronic top-quark pair production with NNLL threshold resummation | NPB 855 (2012) 695 | 1109.1536 |
62 | M. Czakon, P. Fiedler, and A. Mitov | Total top-quark pair-production cross section at hadron colliders through $ \mathcal{O}({\alpha_s}^4) $ | PRL 110 (2013) 252004 | 1303.6254 |
63 | M. Czakon and A. Mitov | Top++: a program for the calculation of the top-pair cross-section at hadron colliders | Comput. Phys. Commun. 185 (2014) 2930 | 1112.5675 |
64 | N. Kidonakis | Two-loop soft anomalous dimensions for single top quark associated production with $ \mathrm{W^-} $ or $ \mathrm{H}^{-} $ | PRD 82 (2010) 054018 | 1005.4451 |
65 | M. Aliev et al. | HATHOR: HAdronic Top and Heavy quarks crOss section calculatoR | Comput. Phys. Commun. 182 (2011) 1034 | 1007.1327 |
66 | P. Kant et al. | HatHor for single top-quark production: Updated predictions and uncertainty estimates for single top-quark production in hadronic collisions | Comput. Phys. Commun. 191 (2015) 74 | 1406.4403 |
67 | F. Maltoni, D. Pagani, and I. Tsinikos | Associated production of a top-quark pair with vector bosons at NLO in QCD: impact on $ \mathrm{t}\overline{\mathrm{t}}\mathrm{H} $ searches at the LHC | JHEP 02 (2016) 113 | 1507.05640 |
68 | J. M. Campbell, R. K. Ellis, and C. Williams | Vector boson pair production at the LHC | JHEP 07 (2011) 018 | 1105.0020 |
69 | CMS Collaboration | Pileup mitigation at CMS in 13 TeV data | JINST 15 (2020) P09018 | CMS-JME-18-001 2003.00503 |
70 | CMS Collaboration | Particle-flow reconstruction and global event description with the CMS detector | JINST 12 (2017) P10003 | CMS-PRF-14-001 1706.04965 |
71 | CMS Collaboration | Technical proposal for the phase-2 upgrade of the Compact Muon Solenoid | CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015 CDS |
|
72 | 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 |
73 | CMS Collaboration | ECAL 2016 refined calibration and Run2 summary plots | CMS Detector Performance Summary CMS-DP-2020-021, 2020 CDS |
|
74 | M. Cacciari, G. P. Salam, and G. Soyez | The anti-$ k_{\mathrm{T}} $ jet clustering algorithm | JHEP 04 (2008) 063 | 0802.1189 |
75 | M. Cacciari, G. P. Salam, and G. Soyez | FastJet user manual | EPJC 72 (2012) 1896 | 1111.6097 |
76 | M. Cacciari, G. P. Salam, and G. Soyez | The catchment area of jets | JHEP 04 (2008) 005 | 0802.1188 |
77 | 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 |
78 | CMS Collaboration | Jet algorithms performance in 13 TeV data | CMS Physics Analysis Summary, 2017 CMS-PAS-JME-16-003 |
CMS-PAS-JME-16-003 |
79 | CMS Collaboration | Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV | JINST 13 (2018) P05011 | CMS-BTV-16-002 1712.07158 |
80 | E. Bols et al. | Jet flavour classification using DeepJet | JINST 15 (2020) P12012 | 2008.10519 |
81 | CMS Collaboration | B-tagging performance of the CMS legacy dataset 2018 | CMS Detector Performance Summary CMS-DP-2021-004, 2021 CDS |
|
82 | 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 |
83 | K. Kondo | Dynamical likelihood method for reconstruction of events with missing momentum. 1: Method and toy models | J. Phys. Soc. Jap. 57 (1988) 4126 | |
84 | CMS Collaboration | Search for a standard model Higgs boson produced in association with a top-quark pair and decaying to bottom quarks using a matrix element method | EPJC 75 (2015) 251 | CMS-HIG-14-010 1502.02485 |
85 | CMS Collaboration | Inclusive and differential cross section measurements of $ \mathrm{t}\overline{\mathrm{t}}\mathrm{b}\overline{\mathrm{b}} $ production in the lepton+jets channel at $ \sqrt{s}= $ 13 TeV | JHEP 05 (2024) 042 | CMS-TOP-22-009 2309.14442 |
86 | CMS Collaboration | Measurement of the cross section for $ \mathrm{t}\overline{\mathrm{t}} $ production with additional jets and b jets in pp collisions at $ \sqrt{s}= $ 13 TeV | JHEP 07 (2020) 125 | CMS-TOP-18-002 2003.06467 |
87 | CMS Collaboration | Measurement of the $ \mathrm{t}\overline{\mathrm{t}}\mathrm{b}\overline{\mathrm{b}} $ production cross section in the all-jet final state in pp collisions at $ \sqrt{s}= $ 13 TeV | PLB 803 (2020) 135285 | CMS-TOP-18-011 1909.05306 |
88 | CMS Collaboration | Object definitions for top quark analyses at the particle level | CMS-NOTE-2017-004, 2017 CDS |
|
89 | CMS Collaboration | The CMS statistical analysis and combination tool: Combine | Submitted to Comput. Softw. Big Sci, 2024 | CMS-CAT-23-001 2404.06614 |
90 | J. S. Conway | Incorporating nuisance parameters in likelihoods for multisource spectra | in PHYSTAT 2011 link |
1103.0354 |
91 | F. Chollet et al. | Keras | https://keras.io | |
92 | M. Erdmann, J. Glombitza, G. Kasieczka, and U. Klemradt | Deep Learning for Physics Research | WORLD SCIENTIFIC, 2021 link |
|
93 | S. Jasper, L. Hugo, and P. A. Ryan | Practical bayesian optimization of machine learning algorithms | 1206.2944 | |
94 | F. Luca, D. Michele, F. Paolo, and P. Massimiliano | Forward and reverse gradient-based hyperparameter optimization | in Proceedings of the 34th International Conference on Machine Learning, D. Precup and Y. W. Teh, eds., volume 70 of Proceedings of Machine Learning Research, PMLR, 2017 link |
|
95 | G. E. Hinton et al. | Improving neural networks by preventing co-adaptation of feature detectors | 1207.0580 | |
96 | S. Wunsch, R. Friese, R. Wolf, and G. Quast | Identifying the relevant dependencies of the neural network response on characteristics of the input space | Comput. Softw. Big Sci. 2 (2018) 5 | 1803.08782 |
97 | A. Ghorbani and J. Zou | Data Shapley: Equitable valuation of data for machine learning | 1904.02868 | |
98 | J. D. Bjorken and S. J. Brodsky | Statistical model for electron-positron annihilation into hadrons | PRD 1 (1970) 1416 | |
99 | G. C. Fox and S. Wolfram | Event shapes in $ \mathrm{e}^+\mathrm{e}^- $ annihilation | NPB 157 (1979) 543 | |
100 | I. Goodfellow, Y. Bengio, and A. Courville | Deep Learning | MIT Press, 2016 link |
|
101 | J. K. Lindsey | Parametric statistical inference | Clarendon Press, Oxford, England, 1996 | |
102 | P. Skands, S. Carrazza, and J. Rojo | Tuning PYTHIA 8.1: the Monash 2013 Tune | EPJC 74 (2014) 3024 | 1404.5630 |
103 | CMS Collaboration | Measurement of differential cross sections for the production of top quark pairs and of additional jets in lepton+jets events from pp collisions at $ \sqrt{s}= $ 13 TeV | PRD 97 (2018) 112003 | CMS-TOP-17-002 1803.08856 |
104 | I. W. Stewart and F. J. Tackmann | Theory uncertainties for Higgs and other searches using jet bins | PRD 85 (2012) 034011 | 1107.2117 |
105 | ATLAS Collaboration | Evaluation of QCD uncertainties for Higgs boson production through gluon fusion and in association with two top quarks for simplified template cross-section measurements | ATL-PHYS-PUB-2023-031, 2023 | |
106 | R. Barlow and C. Beeston | Fitting using finite Monte Carlo samples | Comp. Phys. Commun. 77 (1993) 219 | |
107 | CMS Collaboration | First measurement of the cross section for top quark pair production with additional charm jets using dileptonic final states in pp collisions at $ \sqrt{s}= $ 13 TeV | PLB 820 (2021) 136565 | CMS-TOP-20-003 2012.09225 |
108 | LHC Higgs Cross Section Working Group | Handbook of LHC Higgs cross sections: 3. Higgs properties | 1307.1347 | |
109 | A. V. Gritsan, R. Röntsch, M. Schulze, and M. Xiao | Constraining anomalous Higgs boson couplings to the heavy flavor fermions using matrix element techniques | PRD 94 (2016) 055023 | 1606.03107 |
110 | F. Demartin et al. | Higgs characterisation at NLO in QCD: CP properties of the top-quark Yukawa interaction | EPJC 74 (2014) 3065 | 1407.5089 |
111 | CMS Collaboration | Constraints on anomalous Higgs boson couplings to vector bosons and fermions in its production and decay using the four-lepton final state | PRD 104 (2021) 052004 | CMS-HIG-19-009 2104.12152 |
112 | CMS Collaboration | Search for $ CP $ violation in $ \mathrm{t}\overline{\mathrm{t}}\mathrm{H} $ and $ \mathrm{t}\mathrm{H} $ production in multilepton channels in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JHEP 07 (2023) 092 | CMS-HIG-21-006 2208.02686 |
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Compact Muon Solenoid LHC, CERN |
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