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| CMS-PAS-HIG-20-012 | ||
| Search for a new heavy scalar boson decaying into a Higgs boson and a new scalar particle in the four b-quarks final state using proton-proton collisions at $ \sqrt{s}= $ 13 TeV | ||
| CMS Collaboration | ||
| 25 October 2024 | ||
| Abstract: A search for a massive scalar resonance, X, decaying into a Higgs boson and a scalar, Y, in proton-proton collisions at a centre-of-mass energy of 13 TeV is presented. The search is performed using a data sample corresponding to an integrated luminosity of 138 fb$^{-1}$ collected by the CMS detector. The four b-quark final state is used to probe the possible phenomenon beyond the standard model, $ \text{X} \rightarrow \text{Y} \text{H} $, in which both the Y and the Higgs boson are reconstructed from a pair of b quarks. A range of masses from 400 GeV to 1.6 TeV for the resonance X and from 60 GeV to 1.4 TeV for the scalar Y are investigated. The observations are in agreement with the background-only hypothesis. The largest excess, with a local (global) significance of 4.1 (2.8) standard deviations, is observed for hypothetical X and Y masses of 700 GeV and 400 GeV, respectively. The 95% confidence level limits of the production cross section times branching ratio are presented for all signal mass hypotheses in the range of the search. Results are interpreted within the NMSSM scenario. | ||
| Links: CDS record (PDF) ; CADI line (restricted) ; | ||
| Figures | |
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Figure 1:
Depiction of the process under investigation, $ \text{X} \rightarrow \text{Y} \text{H} $. |
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Figure 2:
Event distributions in the validation regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The VR(4 b) data is in black and BDT reweighted VR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the VR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the VR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. The ratios of VR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 2-a:
Event distributions in the validation regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The VR(4 b) data is in black and BDT reweighted VR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the VR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the VR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. The ratios of VR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 2-b:
Event distributions in the validation regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The VR(4 b) data is in black and BDT reweighted VR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the VR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the VR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. The ratios of VR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 2-c:
Event distributions in the validation regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The VR(4 b) data is in black and BDT reweighted VR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the VR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the VR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. The ratios of VR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 2-d:
Event distributions in the validation regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The VR(4 b) data is in black and BDT reweighted VR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the VR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the VR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. The ratios of VR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 2-e:
Event distributions in the validation regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The VR(4 b) data is in black and BDT reweighted VR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the VR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the VR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. The ratios of VR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 2-f:
Event distributions in the validation regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The VR(4 b) data is in black and BDT reweighted VR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the VR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the VR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. The ratios of VR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 3:
Event distributions in the signal regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The SR(4 b) data is in black and BDT reweighted SR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the SR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the SR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. Three selected signal mass hypotheses are overlaid and show the differences in the shape of the distributions of signals and the background. The signal histograms are scaled to have cross section ($ \sigma $) values of 5 pb. The ratios of SR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 3-a:
Event distributions in the signal regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The SR(4 b) data is in black and BDT reweighted SR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the SR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the SR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. Three selected signal mass hypotheses are overlaid and show the differences in the shape of the distributions of signals and the background. The signal histograms are scaled to have cross section ($ \sigma $) values of 5 pb. The ratios of SR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 3-b:
Event distributions in the signal regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The SR(4 b) data is in black and BDT reweighted SR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the SR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the SR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. Three selected signal mass hypotheses are overlaid and show the differences in the shape of the distributions of signals and the background. The signal histograms are scaled to have cross section ($ \sigma $) values of 5 pb. The ratios of SR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 3-c:
Event distributions in the signal regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The SR(4 b) data is in black and BDT reweighted SR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the SR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the SR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. Three selected signal mass hypotheses are overlaid and show the differences in the shape of the distributions of signals and the background. The signal histograms are scaled to have cross section ($ \sigma $) values of 5 pb. The ratios of SR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 3-d:
Event distributions in the signal regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The SR(4 b) data is in black and BDT reweighted SR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the SR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the SR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. Three selected signal mass hypotheses are overlaid and show the differences in the shape of the distributions of signals and the background. The signal histograms are scaled to have cross section ($ \sigma $) values of 5 pb. The ratios of SR(3 b) over SR(4 b) (model over target) are in the lower panels. |
png pdf |
Figure 3-e:
Event distributions in the signal regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The SR(4 b) data is in black and BDT reweighted SR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the SR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the SR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. Three selected signal mass hypotheses are overlaid and show the differences in the shape of the distributions of signals and the background. The signal histograms are scaled to have cross section ($ \sigma $) values of 5 pb. The ratios of SR(3 b) over SR(4 b) (model over target) are in the lower panels. |
png pdf |
Figure 3-f:
Event distributions in the signal regions for $\text{m}_{\text{Xreco}}$ (left column) and $ \text{m}_{\text{Yreco}}$ (right column) shown separately for the three data-taking years: 2016, 2017, and 2018 (top, middle, and bottom rows, respectively). The SR(4 b) data is in black and BDT reweighted SR(3 b) model is in red. For $ \text{m}_{\text{Yreco}}$, the SR(3 b) model uncertainty includes the statistical component added in quadrature with the shape, normalization and non-closure uncertainties. For $\text{m}_{\text{Xreco}}$, the SR(3 b) uncertainty includes the statistical, shape, and normalization uncertainties. Three selected signal mass hypotheses are overlaid and show the differences in the shape of the distributions of signals and the background. The signal histograms are scaled to have cross section ($ \sigma $) values of 5 pb. The ratios of SR(3 b) over SR(4 b) (model over target) are in the lower panels. |
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Figure 4:
Distributions of the events in the $ \text{m}_{\text{Xreco}} $ -- $ \text{m}_{\text{Yreco}} $ plane observed in the SR(4 b) in 2018. The top plots show events in data (left) and background model (right). Bottom plot shows distribution of events for the signal hypothesis corresponding to $\text{m}_{\text{X}} = $ 700 GeV and $\text{m}_{\text{Y}} = $ 400 GeV. In each plot, there are empty bins in the high $\text{m}_{\text{Xreco}}$ and low $ \text{m}_{\text{Yreco}}$ region. These areas have been excluded because the events are highly boosted. |
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Figure 4-a:
Distributions of the events in the $ \text{m}_{\text{Xreco}} $ -- $ \text{m}_{\text{Yreco}} $ plane observed in the SR(4 b) in 2018. The top plots show events in data (left) and background model (right). Bottom plot shows distribution of events for the signal hypothesis corresponding to $\text{m}_{\text{X}} = $ 700 GeV and $\text{m}_{\text{Y}} = $ 400 GeV. In each plot, there are empty bins in the high $\text{m}_{\text{Xreco}}$ and low $ \text{m}_{\text{Yreco}}$ region. These areas have been excluded because the events are highly boosted. |
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Figure 4-b:
Distributions of the events in the $ \text{m}_{\text{Xreco}} $ -- $ \text{m}_{\text{Yreco}} $ plane observed in the SR(4 b) in 2018. The top plots show events in data (left) and background model (right). Bottom plot shows distribution of events for the signal hypothesis corresponding to $\text{m}_{\text{X}} = $ 700 GeV and $\text{m}_{\text{Y}} = $ 400 GeV. In each plot, there are empty bins in the high $\text{m}_{\text{Xreco}}$ and low $ \text{m}_{\text{Yreco}}$ region. These areas have been excluded because the events are highly boosted. |
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Figure 4-c:
Distributions of the events in the $ \text{m}_{\text{Xreco}} $ -- $ \text{m}_{\text{Yreco}} $ plane observed in the SR(4 b) in 2018. The top plots show events in data (left) and background model (right). Bottom plot shows distribution of events for the signal hypothesis corresponding to $\text{m}_{\text{X}} = $ 700 GeV and $\text{m}_{\text{Y}} = $ 400 GeV. In each plot, there are empty bins in the high $\text{m}_{\text{Xreco}}$ and low $ \text{m}_{\text{Yreco}}$ region. These areas have been excluded because the events are highly boosted. |
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Figure 5:
Expected and observed 95% CL upper limits on the production cross section times branching ratio for $ \text{X} \rightarrow \text{Y} \text{H} $ signal. The limits are shown as a function of $ \text{m}_{\text{Yreco}}$ for selected values of $\text{m}_{\text{Xreco}}$. The black dashed and red solid lines represent expected and observed limits, respectively. The blue and yellow bands represent the $ \pm $1 and $ \pm $2 standard deviations for the expected limit, respectively. The largest excess of the observed limit over the expected limit is for $\text{m}_{\text{Xreco}} = $ 700 GeV and $ \text{m}_{\text{Yreco}} = $ 400 GeV. |
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Figure 6:
Expected and observed 95% CL upper limits on the production cross section times branching ratio for $ \XHH $ signal. The black dashed and red solid lines represent expected and observed limits, respectively. The blue and yellow bands represent the $ \pm $1 and $ \pm $2 standard deviations for the expected limit, respectively. |
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Figure 7:
Expected and observed 95% CL upper limits on production cross section times branching ratio for $ \text{X} \rightarrow \text{Y} \text{H} $ signals shown in the two-dimensional $\text{m}_{\text{X}}$ and $\text{m}_{\text{Y}}$ plane. These limits are compared to the maximally allowed cross section times branching ratio values determined with NMSSM and taking into account previous experimental constraints. The NMSSM limits are obtained with NMSSMTOOLS 5.6.2 and appear in Ref. [72]. A few mass hypotheses where the observed limits are more restrictive than the NMSSM limits are indicated by the red hatched areas. |
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Figure 7-a:
Expected and observed 95% CL upper limits on production cross section times branching ratio for $ \text{X} \rightarrow \text{Y} \text{H} $ signals shown in the two-dimensional $\text{m}_{\text{X}}$ and $\text{m}_{\text{Y}}$ plane. These limits are compared to the maximally allowed cross section times branching ratio values determined with NMSSM and taking into account previous experimental constraints. The NMSSM limits are obtained with NMSSMTOOLS 5.6.2 and appear in Ref. [72]. A few mass hypotheses where the observed limits are more restrictive than the NMSSM limits are indicated by the red hatched areas. |
png pdf |
Figure 7-b:
Expected and observed 95% CL upper limits on production cross section times branching ratio for $ \text{X} \rightarrow \text{Y} \text{H} $ signals shown in the two-dimensional $\text{m}_{\text{X}}$ and $\text{m}_{\text{Y}}$ plane. These limits are compared to the maximally allowed cross section times branching ratio values determined with NMSSM and taking into account previous experimental constraints. The NMSSM limits are obtained with NMSSMTOOLS 5.6.2 and appear in Ref. [72]. A few mass hypotheses where the observed limits are more restrictive than the NMSSM limits are indicated by the red hatched areas. |
| Tables | |
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Table 1:
The HLT requirements for the lower bounds on $ p_{\mathrm{T}} $ and $ H_{\mathrm{T}} $ for the four highest $ p_{\mathrm{T}} $ jets in an event are listed for each data-taking year. For data-taking year 2016, events that pass either of two trigger algorithms are used. |
| Summary |
| This note presents a search for a new scalar resonance, X, decaying into a Higgs boson and a new scalar, Y, in the four b-quarks decay channel. The search investigates a range of masses from 400 GeV to 1.6 TeV for the resonance, X, and from 60 GeV up to 1.4 TeV for the scalar, Y. A data sample corresponding to an integrated luminosity of 138 fb$^{-1}$ collected in proton-proton collisions at $ \sqrt{s} = $ 13 TeV has been used for the search. No evidence for a new signal is observed and upper limits on the signal cross section times branching ratio are set at the 95% confidence level. Results are interpreted in the context of the NMSSM scenario; the results in this note constrain the phase space of this model beyond previous experimental exclusion limits. |
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