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| CMS-HIG-20-001 ; CERN-EP-2023-270 | ||
| Measurement of simplified template cross sections of the Higgs boson produced in association with W or Z bosons in the H $ \to \mathrm{b}\overline{\mathrm{b}} $ decay channel in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | ||
| CMS Collaboration | ||
| 10 December 2023 | ||
| Accepted for publication in Phys. Rev. D | ||
| Abstract: Differential cross sections are measured for the standard model Higgs boson produced in association with vector bosons (W, Z) and decaying to a pair of b quarks. Measurements are performed within the framework of the simplified template cross sections. The analysis relies on the leptonic decays of the W and Z bosons, resulting in final states with 0, 1, or 2 electrons or muons. The Higgs boson candidates are either reconstructed from pairs of resolved b-tagged jets, or from single large distance parameter jets containing the particles arising from two b quarks. Proton-proton collision data at $ \sqrt{s}= $ 13 TeV, collected by the CMS experiment in 2016-2018 and corresponding to a total integrated luminosity of 138 fb$ ^{-1} $, are analyzed. The inclusive signal strength, defined as the product of the observed production cross section and branching fraction relative to the standard model expectation, combining all analysis categories, is found to be $ \mu= $ 1.15 $ ^{+0.22}_{-0.20} $. This corresponds to an observed (expected) significance of 6.3 (5.6) standard deviations. | ||
| Links: e-print arXiv:2312.07562 [hep-ex] (PDF) ; CDS record ; inSPIRE record ; HepData record ; CADI line (restricted) ; | ||
| Figures & Tables | Summary | Additional Figures | References | CMS Publications |
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| Figures | |
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Figure 1:
Overview of the STXS bins for the three VH production modes [29]. The vertical axis reflects the $ p_{\mathrm{T}}(\mathrm{V}) $ bin ranges and the horizontal axis the number of additional jets. The general bin definitions are indicated by the green boxes. No distinction is made between gluon- and quark-induced production modes in the analysis. As mentioned in Section 5.1, some STXS bins are not explicitly targeted by the analysis: contributions from these bins are fixed to their SM expectations. |
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Figure 2:
Dijet invariant mass distributions in samples of simulated (2017 simulation) signal events passing the 2-lepton channel requirements without any additional recoiling jet. Distributions are shown without the usage of the FSR recovery algorithm (purple triangles), before (red triangles) and after (blue squares) the energy corrections from the b jet regression are applied, and when a kinematic fit procedure (green circles) is used in addition to them. The fitted mean and width of the core of the distribution, obtained by fitting a Bukin function [72], are displayed in the figure. The statistical uncertainties are smaller than the marker height. |
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Figure 3:
Distribution of the HFDNN scores in the 0-lepton (left) and 1-lepton (right) heavy-flavor CRs for the 2016 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plots display the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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Figure 3-a:
Distribution of the HFDNN scores in the 0-lepton (left) and 1-lepton (right) heavy-flavor CRs for the 2016 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plots display the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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Figure 3-b:
Distribution of the HFDNN scores in the 0-lepton (left) and 1-lepton (right) heavy-flavor CRs for the 2016 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plots display the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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Figure 4:
Correlation matrix of the parameters of interest in the STXS measurement. The vector boson momenta have units of GeV. |
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Figure 5:
Contributions of the different STXS signal bins as a fraction of the total signal yield in each SR. The vector boson momenta have units of GeV. |
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Figure 6:
Signal strengths (points) for the 0-, 1-, and 2-lepton channels (left) and the ZH and WH production modes (right). The horizontal red and blue bars on the points represent the systematic and total uncertainties, respectively. The combined inclusive signal strength is shown by the vertical line, with the green band giving the 68% confidence interval. The results combine the 2016-2018 data-taking years. The first and the second uncertainty values correspond to the statistical and systematic uncertainties, respectively. |
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Figure 6-a:
Signal strengths (points) for the 0-, 1-, and 2-lepton channels (left) and the ZH and WH production modes (right). The horizontal red and blue bars on the points represent the systematic and total uncertainties, respectively. The combined inclusive signal strength is shown by the vertical line, with the green band giving the 68% confidence interval. The results combine the 2016-2018 data-taking years. The first and the second uncertainty values correspond to the statistical and systematic uncertainties, respectively. |
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Figure 6-b:
Signal strengths (points) for the 0-, 1-, and 2-lepton channels (left) and the ZH and WH production modes (right). The horizontal red and blue bars on the points represent the systematic and total uncertainties, respectively. The combined inclusive signal strength is shown by the vertical line, with the green band giving the 68% confidence interval. The results combine the 2016-2018 data-taking years. The first and the second uncertainty values correspond to the statistical and systematic uncertainties, respectively. |
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Figure 7:
STXS signal strengths from the analysis of the 2016-2018 data. The vertical dashed line corresponds to the SM value of the signal strength. The first and the second uncertainty values correspond to the statistical and systematic uncertainties, respectively. |
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Figure 8:
Measured values of $ \sigma\mathcal{B} $, defined as the product of the VH production cross sections multiplied by the branching fractions of $ \mathrm{V} \to $ leptons and $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $, evaluated in the same STXS bins as for the signal strengths, combining all years. In the lower panel, the ratio of the observed results, with associated uncertainties, to the SM expectations is shown. If the observed signal strength for a given STXS bin is negative, no value is plotted for $ \sigma\mathcal{B} $ in the upper panel. |
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Figure 9:
Post-fit distributions of the DNN discriminant in the 250 $ < p_{\mathrm{T}}(\mathrm{V}) < $ 400 GeV category of the 0-lepton (top left), 1-lepton (top right) and 2-lepton (bottom) channels for the electron final state using the 2018 data set. The background contributions after the maximum likelihood fit are shown as filled histograms. The Higgs boson signal is also shown as a filled histogram, and is normalized to the signal strength shown in Fig. 7. The hatched band indicates the combined statistical and systematic uncertainty in the sum of the signal and background templates. The ratio of the data to the sum of the fitted signal and background is shown in the lower panel. The distributions that enter the maximum likelihood fit use the same binning as shown here. |
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Figure 9-a:
Post-fit distributions of the DNN discriminant in the 250 $ < p_{\mathrm{T}}(\mathrm{V}) < $ 400 GeV category of the 0-lepton (top left), 1-lepton (top right) and 2-lepton (bottom) channels for the electron final state using the 2018 data set. The background contributions after the maximum likelihood fit are shown as filled histograms. The Higgs boson signal is also shown as a filled histogram, and is normalized to the signal strength shown in Fig. 7. The hatched band indicates the combined statistical and systematic uncertainty in the sum of the signal and background templates. The ratio of the data to the sum of the fitted signal and background is shown in the lower panel. The distributions that enter the maximum likelihood fit use the same binning as shown here. |
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Figure 9-b:
Post-fit distributions of the DNN discriminant in the 250 $ < p_{\mathrm{T}}(\mathrm{V}) < $ 400 GeV category of the 0-lepton (top left), 1-lepton (top right) and 2-lepton (bottom) channels for the electron final state using the 2018 data set. The background contributions after the maximum likelihood fit are shown as filled histograms. The Higgs boson signal is also shown as a filled histogram, and is normalized to the signal strength shown in Fig. 7. The hatched band indicates the combined statistical and systematic uncertainty in the sum of the signal and background templates. The ratio of the data to the sum of the fitted signal and background is shown in the lower panel. The distributions that enter the maximum likelihood fit use the same binning as shown here. |
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Figure 9-c:
Post-fit distributions of the DNN discriminant in the 250 $ < p_{\mathrm{T}}(\mathrm{V}) < $ 400 GeV category of the 0-lepton (top left), 1-lepton (top right) and 2-lepton (bottom) channels for the electron final state using the 2018 data set. The background contributions after the maximum likelihood fit are shown as filled histograms. The Higgs boson signal is also shown as a filled histogram, and is normalized to the signal strength shown in Fig. 7. The hatched band indicates the combined statistical and systematic uncertainty in the sum of the signal and background templates. The ratio of the data to the sum of the fitted signal and background is shown in the lower panel. The distributions that enter the maximum likelihood fit use the same binning as shown here. |
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Figure 10:
Distributions of signal, background, and observed data event yields sorted into bins of similar signal-to-background ratio, as given by the result of the fit to the multivariate discriminants in the resolved and boosted categories. All events in the signal regions of the 2016-2018 data set are included. The red histogram indicates the Higgs boson signal assuming SM yields ($ \mu= $ 1) and the sum of all backgrounds is given by the gray histogram. The lower panel shows the ratio of the observed data to the background expectation, with the total uncertainty in the background prediction indicated by the gray hatching. The red line indicates the sum of signal assuming the SM prediction plus background contribution, divided by the background. |
| Tables | |
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Table 1:
Definition of the SR and CRs for the resolved selection in the 0-lepton channel. If the same selection is applied in all SRs and CRs, this is indicated by the $ \div $ symbol in the latter. The $ M $ (jj) and momenta variables have units of GeV. |
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Table 2:
Definition of the SR and CRs for the resolved selection of the 1-lepton channel. If the same selection is applied in all SRs and CRs, this is indicated by the $ \div $ symbol in the latter. The $ M $ (jj) and momenta variables have units of GeV. |
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Table 3:
Definition of the SR and CRs for the resolved selection in the 2-lepton channel. If the same selection is applied in all SRs and CRs, this is indicated by the $ \div $ symbol in the latter. The $ M $ (jj), $ M(\mathrm{V}) $, and momenta variables have units of GeV. |
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Table 4:
Input variables used for the DNN training in the resolved SR of the 0-, 1-, and 2-lepton channels. Reconstructed jets are classified as leading and subleading based on their b tag score. |
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Table 5:
Selection criteria for the SR and CRs in the boosted topology for 0-, 1-, and 2-lepton channels. The DeepAK8bbVsLight designation represents the DEEPAK8 discriminant for the light-quark flavor discrimination node. The $ M $ (jj) and $ M(\mathrm{V}) $ variables have units of GeV. |
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Table 6:
Discriminating variables fitted in each SR and CR. The DeepAK8bbVsLight designation represents the DEEPAK8 discriminant for the light-quark flavor discrimination node. |
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Table 7:
Predicted and measured values of the product of the cross section and branching fractions in the V(leptonic)H STXS process scheme. The SM predictions for each bin are calculated using the inclusive values reported in Ref. [28]. The uncertainties shown are the combined statistical and systematic components. |
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Table 8:
The sources of systematic uncertainty in the inclusive signal strength measurement and their positive and negative values. |
| Summary |
| Measurements are presented of the cross section for the associated production of the 125 GeV Higgs boson and a W or Z boson, where the Higgs boson decays to $ \mathrm{b} \overline{\mathrm{b}} $ and the vector bosons decay to leptons. Proton-proton collision data collected by the CMS experiment during 2016-2018 at $ \sqrt{s}= $ 13 TeV are used, corresponding to an integrated luminosity of 138 fb$ ^{-1} $. Five decay channels are analyzed, and both resolved as well as merged-jet topology are employed in each vector boson decay mode. An additional subcategorization in the transverse momentum of the vector boson and the number of additional jets in the event is applied to maximize the sensitivity of different simplified template cross section bins. The overall signal strength, combining all analysis categories, is found to be $ \mu= $ 1.15 $ ^{+0.22}_{-0.20} $. The production of the Higgs boson in association with a vector boson and decays to bottom quark pairs is established with an observed (expected) significance of 6.3 (5.6) standard deviations. |
| Additional Figures | |
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Additional Figure 1:
Dijet invariant mass distribution combining all channels, both for the VH, $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ and for the VZ, $ \mathrm{Z}\to\mathrm{b}\overline{\mathrm{b}} $ processes without (left) and with (right) all other background processes subtracted. This distribution is obtained using dedicated DNNs in the resolved SRs. These DNNs do not use the dijet mass as an input feature to avoid biasing the background shape. All the events are weighted according to S/(S+B) to emphasize the signal contribution in the distribution. Here, S and B are the number of signal and background events after the fit to data. The fit result is consistent with the signal excess at $ m_{\mathrm{H}}= $ 125 GeV of the nominal analysis. As expected, the signal strength uncertainty of this cross-check analysis is significantly, about 50%, larger than the nominal VH, $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ measurement, as the DNN discriminant employed to separate the VH signal from the sum of all backgrounds does not take into account the dijet mass in the input features of the network. Different channels require different thresholds on the low dijet invariant mass, producing the visible steps in the distributions of the backgrounds in the left plot. |
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Additional Figure 1-a:
Dijet invariant mass distribution combining all channels, both for the VH, $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ and for the VZ, $ \mathrm{Z}\to\mathrm{b}\overline{\mathrm{b}} $ processes with all other background processes subtracted. This distribution is obtained using dedicated DNNs in the resolved SRs. These DNNs do not use the dijet mass as an input feature to avoid biasing the background shape. All the events are weighted according to S/(S+B) to emphasize the signal contribution in the distribution. Here, S and B are the number of signal and background events after the fit to data. The fit result is consistent with the signal excess at $ m_{\mathrm{H}}= $ 125 GeV of the nominal analysis. As expected, the signal strength uncertainty of this cross-check analysis is significantly, about 50%, larger than the nominal VH, $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ measurement, as the DNN discriminant employed to separate the VH signal from the sum of all backgrounds does not take into account the dijet mass in the input features of the network. Different channels require different thresholds on the low dijet invariant mass, producing the visible steps in the distributions of the backgrounds in the left plot. |
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Additional Figure 1-b:
Dijet invariant mass distribution combining all channels, both for the VH, $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ and for the VZ, $ \mathrm{Z}\to\mathrm{b}\overline{\mathrm{b}} $ processes without all other background processes subtracted. This distribution is obtained using dedicated DNNs in the resolved SRs. These DNNs do not use the dijet mass as an input feature to avoid biasing the background shape. All the events are weighted according to S/(S+B) to emphasize the signal contribution in the distribution. Here, S and B are the number of signal and background events after the fit to data. The fit result is consistent with the signal excess at $ m_{\mathrm{H}}= $ 125 GeV of the nominal analysis. As expected, the signal strength uncertainty of this cross-check analysis is significantly, about 50%, larger than the nominal VH, $ \mathrm{H}\to\mathrm{b}\overline{\mathrm{b}} $ measurement, as the DNN discriminant employed to separate the VH signal from the sum of all backgrounds does not take into account the dijet mass in the input features of the network. Different channels require different thresholds on the low dijet invariant mass, producing the visible steps in the distributions of the backgrounds in the left plot. |
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Additional Figure 2:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 0-lepton channel with 2016 data. |
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Additional Figure 3:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 0-lepton channel with 2017 data. |
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Additional Figure 4:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 0-lepton channel with 2018 data. |
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Additional Figure 5:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 1-lepton channel with 2016 data. |
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Additional Figure 6:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 1-lepton channel with 2017 data. |
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Additional Figure 7:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 1-lepton channel with 2018 data. |
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Additional Figure 8:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 2-lepton channel with 2016 data. |
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Additional Figure 9:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 2-lepton channel with 2017 data. |
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Additional Figure 10:
Post-fit distributions of multivariate discriminants (DNNs for resolved regions and BDTs for boosted regions) in all signal regions for the 2-lepton channel with 2018 data. |
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Additional Figure 11:
Post-fit distribution of $ p_{\mathrm{T}}(\mathrm{V}) $ in the light-quark flavor control region of the 0-lepton channel for 2018 data. |
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Additional Figure 12:
Post-fit distribution of $ p_{\mathrm{T}}(\mathrm{V}) $ in the light-quark flavor control region of the 1-muon channel for 2018 data. |
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Additional Figure 13:
Post-fit distribution of $ p_{\mathrm{T}}(\mathrm{V}) $ in the light-quark flavor control region of the 2-electron channel for 2018 data. |
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Additional Figure 14:
Post-fit distribution of $ p_{\mathrm{T}}(\mathrm{V}) $ in the $ \mathrm{t} \overline{\mathrm{t}} $ control region of the 0-lepton channel for 2018 data. |
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Additional Figure 15:
Post-fit distribution of $ p_{\mathrm{T}}(\mathrm{V}) $ in the $ \mathrm{t} \overline{\mathrm{t}} $ control region of the 1-electron channel for 2018 data. |
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Additional Figure 16:
Post-fit distribution of the double b-tagger discriminant in the light-quark flavor boosted control region 0-lepton 2017 channel. |
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Additional Figure 17:
Post-fit distribution of the double b-tagger discriminant in the heavy flavor boosted control region 0-lepton 2017 channel. |
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Additional Figure 18:
Post-fit distribution of the double b-tagger discriminant in the $ \mathrm{t} \overline{\mathrm{t}} $ boosted control region 0-lepton 2017 channel. |
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Additional Figure 19:
Two views of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with a muon-anti-muon pair, in $ pp $ collisions at $ \sqrt{s}= $ 13 TeV recorded by CMS in 2018 with a very high DNN score. The charged-particle tracks, reconstructed in the inner tracker, are shown in yellow; muons are represented by red tracks. The energy deposited by electrons in the ECAL is displayed as green towers, proportional to the deposited energy. Blue towers indicate energy deposits in the HCAL, and yellow cones represent reconstructed jets. |
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Additional Figure 19-a:
View of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with a muon-anti-muon pair, in $ pp $ collisions at $ \sqrt{s}= $ 13 TeV recorded by CMS in 2018 with a very high DNN score. The charged-particle tracks, reconstructed in the inner tracker, are shown in yellow; muons are represented by red tracks. The energy deposited by electrons in the ECAL is displayed as green towers, proportional to the deposited energy. Blue towers indicate energy deposits in the HCAL, and yellow cones represent reconstructed jets. |
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Additional Figure 19-b:
View of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with a muon-anti-muon pair, in $ pp $ collisions at $ \sqrt{s}= $ 13 TeV recorded by CMS in 2018 with a very high DNN score. The charged-particle tracks, reconstructed in the inner tracker, are shown in yellow; muons are represented by red tracks. The energy deposited by electrons in the ECAL is displayed as green towers, proportional to the deposited energy. Blue towers indicate energy deposits in the HCAL, and yellow cones represent reconstructed jets. |
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Additional Figure 20:
Two views of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with an electron-positron pair, in $ pp $ collisions at $ \sqrt{s}= $ 13 TeV recorded by CMS in 2018 with a very high DNN score. The charged-particle tracks are in yellow, electrons are represented by green tracks, and energy deposited in the ECAL is displayed as green towers. Blue towers indicate HCAL energy deposits, and yellow cones represent reconstructed jets. |
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Additional Figure 20-a:
View of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with an electron-positron pair, in $ pp $ collisions at $ \sqrt{s}= $ 13 TeV recorded by CMS in 2018 with a very high DNN score. The charged-particle tracks are in yellow, electrons are represented by green tracks, and energy deposited in the ECAL is displayed as green towers. Blue towers indicate HCAL energy deposits, and yellow cones represent reconstructed jets. |
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Additional Figure 20-b:
View of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with an electron-positron pair, in $ pp $ collisions at $ \sqrt{s}= $ 13 TeV recorded by CMS in 2018 with a very high DNN score. The charged-particle tracks are in yellow, electrons are represented by green tracks, and energy deposited in the ECAL is displayed as green towers. Blue towers indicate HCAL energy deposits, and yellow cones represent reconstructed jets. |
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Additional Figure 21:
Two views of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with large $ p_{\mathrm{T}}^\text{miss} $ stemming from the presence of a neutrino pair, produced by the Z boson decay, escaping the detector undetected. Charged-particle tracks in the inner tracker are shown in yellow. The energy deposited in the ECAL is displayed as green towers. Blue towers represent HCAL energy deposits, and yellow cones indicate reconstructed jets. The large missing energy created by the neutrino pair is shown as a violet arrow opposite to the yellow cones. |
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Additional Figure 21-a:
View of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with large $ p_{\mathrm{T}}^\text{miss} $ stemming from the presence of a neutrino pair, produced by the Z boson decay, escaping the detector undetected. Charged-particle tracks in the inner tracker are shown in yellow. The energy deposited in the ECAL is displayed as green towers. Blue towers represent HCAL energy deposits, and yellow cones indicate reconstructed jets. The large missing energy created by the neutrino pair is shown as a violet arrow opposite to the yellow cones. |
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Additional Figure 21-b:
View of an event display of a $ \mathrm{H}\rightarrow\mathrm{b}\mathrm{b} $ candidate produced in association with large $ p_{\mathrm{T}}^\text{miss} $ stemming from the presence of a neutrino pair, produced by the Z boson decay, escaping the detector undetected. Charged-particle tracks in the inner tracker are shown in yellow. The energy deposited in the ECAL is displayed as green towers. Blue towers represent HCAL energy deposits, and yellow cones indicate reconstructed jets. The large missing energy created by the neutrino pair is shown as a violet arrow opposite to the yellow cones. |
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Additional Figure 22:
Distribution of the HFDNN scores in the 0-lepton (left) and 1-lepton (right) heavy-flavor CRs for the 2017 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plots display the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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Additional Figure 22-a:
Distribution of the HFDNN scores in the 0-lepton heavy-flavor CRs for the 2017 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plot displays the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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Additional Figure 22-b:
Distribution of the HFDNN scores in the 1-lepton heavy-flavor CRs for the 2017 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plot displays the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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Additional Figure 23:
Distribution of the HFDNN scores in the 0-lepton (left) and 1-lepton (right) heavy-flavor CRs for the 2018 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plots display the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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Additional Figure 23-a:
Distribution of the HFDNN scores in the 0-lepton heavy-flavor CRs for the 2018 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plot displays the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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Additional Figure 23-b:
Distribution of the HFDNN scores in the 1-lepton heavy-flavor CRs for the 2018 data set, after the fit to data. The output nodes target enrichment in the V+light-quark (first bin), V+c (second bin), V+b (third bin), V+$ \mathrm{b}\overline{\mathrm{b}} $ (fourth bin), single top quark (fifth bin), and $ {\mathrm{t}\overline{\mathrm{t}}} $ (sixth bin) backgrounds. The lower plot displays the ratio of the data to the MC expectations. The vertical bars on the points represent the statistical uncertainty in the ratio, and the hatched area shows the MC uncertainty. |
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