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CMS-HIG-24-002 ; CERN-EP-2026-116
Search for a new heavy scalar resonance decaying to a pair of Z bosons in the four-lepton final state in proton-proton collisions at $ \sqrt{s} = $ 13 TeV
Submitted to the Journal of High Energy Physics
Abstract: A search for a new heavy scalar resonance decaying to two Z bosons, each subsequently decaying to a pair of electrons or muons, is presented. The results are based on a proton-proton collision data set collected by the CMS experiment at the LHC at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb$ ^{-1} $. The search is performed over a wide range of resonance masses from 130 GeV to 3 TeV, considering both narrow- and broad-width scenarios, and considering the gluon fusion and vector boson fusion production processes. For the broad-width scenario, the interference between the new resonance, the 125 GeV Higgs boson production, and the continuum background is taken into account. No significant excess with respect to the standard model background expectation is observed in the examined phase space. Upper limits at the 95% confidence level are set on the product of the heavy scalar resonance production cross section and the branching fraction for its decay into two Z bosons. The exclusion limits range from 0.05--0.1 pb in the low-mass region to 0.005 pb in the high-mass region.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Left: the $ m_{4\ell}^{\text{reco}} $ distributions for signal and background processes estimated from the MC simulation, alongside observed data. Red and pink open histograms show the lineshapes for different signal masses. Right: The $ D_\text{bkg}^{\text{kin}} $ distributions for signal and background processes estimated from the MC simulation, together with the observed data. The masses of the X resonances written in the legends are in GeV units.

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Figure 1-a:
Left: the $ m_{4\ell}^{\text{reco}} $ distributions for signal and background processes estimated from the MC simulation, alongside observed data. Red and pink open histograms show the lineshapes for different signal masses. Right: The $ D_\text{bkg}^{\text{kin}} $ distributions for signal and background processes estimated from the MC simulation, together with the observed data. The masses of the X resonances written in the legends are in GeV units.

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Figure 1-b:
Left: the $ m_{4\ell}^{\text{reco}} $ distributions for signal and background processes estimated from the MC simulation, alongside observed data. Red and pink open histograms show the lineshapes for different signal masses. Right: The $ D_\text{bkg}^{\text{kin}} $ distributions for signal and background processes estimated from the MC simulation, together with the observed data. The masses of the X resonances written in the legends are in GeV units.

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Figure 2:
The $ D_\text{2jet}^{\text{VBF}} $ distributions for signal, background, and observed data. Only events passing the lepton and jet multiplicity requirements for the VBF-tagged category are shown. The dotted vertical line represents the threshold of $ D_\text{2jet}^{\text{VBF}}= $ 0.46.

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Figure 3:
The product of signal efficiency and acceptance, as a function of $ m_{4\ell}^{\text{gen}} $, computed for the 2018 data set. The left panel shows the results for ggF signals, and the right panel shows those for VBF signals. The points are values computed from simulation, which are fitted with the corresponding curves. In each panel, the product of efficiency and acceptance for each final state and category is shown: green points and curves represent the 4 e final state, red points and curves indicate the 2 $ \mathrm{e}2\mu $ final state, and blue points and curves the 4 $ \mu $ final state; the solid lines with lighter colors represent the untagged category, and the efficiencies for the VBF-tagged categories are shown in dashed lines with darker colors.

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Figure 3-a:
The product of signal efficiency and acceptance, as a function of $ m_{4\ell}^{\text{gen}} $, computed for the 2018 data set. The left panel shows the results for ggF signals, and the right panel shows those for VBF signals. The points are values computed from simulation, which are fitted with the corresponding curves. In each panel, the product of efficiency and acceptance for each final state and category is shown: green points and curves represent the 4 e final state, red points and curves indicate the 2 $ \mathrm{e}2\mu $ final state, and blue points and curves the 4 $ \mu $ final state; the solid lines with lighter colors represent the untagged category, and the efficiencies for the VBF-tagged categories are shown in dashed lines with darker colors.

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Figure 3-b:
The product of signal efficiency and acceptance, as a function of $ m_{4\ell}^{\text{gen}} $, computed for the 2018 data set. The left panel shows the results for ggF signals, and the right panel shows those for VBF signals. The points are values computed from simulation, which are fitted with the corresponding curves. In each panel, the product of efficiency and acceptance for each final state and category is shown: green points and curves represent the 4 e final state, red points and curves indicate the 2 $ \mathrm{e}2\mu $ final state, and blue points and curves the 4 $ \mu $ final state; the solid lines with lighter colors represent the untagged category, and the efficiencies for the VBF-tagged categories are shown in dashed lines with darker colors.

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Figure 4:
The $ m_{4\ell}^{\text{reco}} $ distributions for several values of $ m_{\mathrm{X}} $ and $ \Gamma_{\mathrm{X}} $ obtained from the signal model, for the ggF (left) and VBF (right) signal processes. All final states and categories are combined.

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Figure 4-a:
The $ m_{4\ell}^{\text{reco}} $ distributions for several values of $ m_{\mathrm{X}} $ and $ \Gamma_{\mathrm{X}} $ obtained from the signal model, for the ggF (left) and VBF (right) signal processes. All final states and categories are combined.

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Figure 4-b:
The $ m_{4\ell}^{\text{reco}} $ distributions for several values of $ m_{\mathrm{X}} $ and $ \Gamma_{\mathrm{X}} $ obtained from the signal model, for the ggF (left) and VBF (right) signal processes. All final states and categories are combined.

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Figure 5:
Expected distributions of $ m_{4\ell}^{\text{gen}} $ vs. $ D_\text{bkg}^{\text{kin}} $ for the ggF (left) and VBF (right) production mechanisms, in the 4 $ \mu $ final state. The distributions are estimated from the signal simulation.

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Figure 5-a:
Expected distributions of $ m_{4\ell}^{\text{gen}} $ vs. $ D_\text{bkg}^{\text{kin}} $ for the ggF (left) and VBF (right) production mechanisms, in the 4 $ \mu $ final state. The distributions are estimated from the signal simulation.

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Figure 5-b:
Expected distributions of $ m_{4\ell}^{\text{gen}} $ vs. $ D_\text{bkg}^{\text{kin}} $ for the ggF (left) and VBF (right) production mechanisms, in the 4 $ \mu $ final state. The distributions are estimated from the signal simulation.

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Figure 6:
The left (right) plot depicts the lineshapes for the ggF (VBF) signal with $ m_{\mathrm{X}}= $ 450 GeV, $ \Gamma_{\mathrm{X}}= $ 45 GeV as the red curve, the $ \mathrm{g}\mathrm{g}\mathrm{Z}\mathrm{Z} $ (VBFZZ) background as the blue curve, and interferences as the violet, orange, and green curves. The black curve shows the interference between the signal and all other SM processes. The notation "int[A,B]" indicates the interference between A and B. Results are shown for the 4 $ \mu $ final state, for the untagged category (left) and the VBF-tagged category (right).

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Figure 6-a:
The left (right) plot depicts the lineshapes for the ggF (VBF) signal with $ m_{\mathrm{X}}= $ 450 GeV, $ \Gamma_{\mathrm{X}}= $ 45 GeV as the red curve, the $ \mathrm{g}\mathrm{g}\mathrm{Z}\mathrm{Z} $ (VBFZZ) background as the blue curve, and interferences as the violet, orange, and green curves. The black curve shows the interference between the signal and all other SM processes. The notation "int[A,B]" indicates the interference between A and B. Results are shown for the 4 $ \mu $ final state, for the untagged category (left) and the VBF-tagged category (right).

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Figure 6-b:
The left (right) plot depicts the lineshapes for the ggF (VBF) signal with $ m_{\mathrm{X}}= $ 450 GeV, $ \Gamma_{\mathrm{X}}= $ 45 GeV as the red curve, the $ \mathrm{g}\mathrm{g}\mathrm{Z}\mathrm{Z} $ (VBFZZ) background as the blue curve, and interferences as the violet, orange, and green curves. The black curve shows the interference between the signal and all other SM processes. The notation "int[A,B]" indicates the interference between A and B. Results are shown for the 4 $ \mu $ final state, for the untagged category (left) and the VBF-tagged category (right).

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Figure 7:
The $ m_{4\ell}^{\text{reco}} $ and $ D_\text{bkg}^{\text{kin}} $ distributions with the 2016--2018 data set, for backgrounds and observed data. The distributions for backgrounds are extracted from the statistical model, with all nuisance parameters at their best fit values. The upper left (right) panel shows the distribution of $ m_{4\ell}^{\text{reco}} $ ($ D_\text{bkg}^{\text{kin}} $); the lower panel shows the distribution of $ m_{4\ell}^{\text{reco}} $ in bins of $ D_\text{bkg}^{\text{kin}} $.

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Figure 7-a:
The $ m_{4\ell}^{\text{reco}} $ and $ D_\text{bkg}^{\text{kin}} $ distributions with the 2016--2018 data set, for backgrounds and observed data. The distributions for backgrounds are extracted from the statistical model, with all nuisance parameters at their best fit values. The upper left (right) panel shows the distribution of $ m_{4\ell}^{\text{reco}} $ ($ D_\text{bkg}^{\text{kin}} $); the lower panel shows the distribution of $ m_{4\ell}^{\text{reco}} $ in bins of $ D_\text{bkg}^{\text{kin}} $.

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Figure 7-b:
The $ m_{4\ell}^{\text{reco}} $ and $ D_\text{bkg}^{\text{kin}} $ distributions with the 2016--2018 data set, for backgrounds and observed data. The distributions for backgrounds are extracted from the statistical model, with all nuisance parameters at their best fit values. The upper left (right) panel shows the distribution of $ m_{4\ell}^{\text{reco}} $ ($ D_\text{bkg}^{\text{kin}} $); the lower panel shows the distribution of $ m_{4\ell}^{\text{reco}} $ in bins of $ D_\text{bkg}^{\text{kin}} $.

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Figure 7-c:
The $ m_{4\ell}^{\text{reco}} $ and $ D_\text{bkg}^{\text{kin}} $ distributions with the 2016--2018 data set, for backgrounds and observed data. The distributions for backgrounds are extracted from the statistical model, with all nuisance parameters at their best fit values. The upper left (right) panel shows the distribution of $ m_{4\ell}^{\text{reco}} $ ($ D_\text{bkg}^{\text{kin}} $); the lower panel shows the distribution of $ m_{4\ell}^{\text{reco}} $ in bins of $ D_\text{bkg}^{\text{kin}} $.

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Figure 8:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV in the narrow-width approximation, for the ggF (upper left) and VBF (upper right) production, and with $ f_\text{VBF} $ as a free parameter in the fit (lower).

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Figure 8-a:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV in the narrow-width approximation, for the ggF (upper left) and VBF (upper right) production, and with $ f_\text{VBF} $ as a free parameter in the fit (lower).

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Figure 8-b:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV in the narrow-width approximation, for the ggF (upper left) and VBF (upper right) production, and with $ f_\text{VBF} $ as a free parameter in the fit (lower).

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Figure 8-c:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV in the narrow-width approximation, for the ggF (upper left) and VBF (upper right) production, and with $ f_\text{VBF} $ as a free parameter in the fit (lower).

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Figure 9:
Local $ p $-value as a function of $ m_{\mathrm{X}} $, with $ f_\text{VBF} $ floating.

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Figure 10:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}} $ equal to 1 (upper), 10 (middle), and 100 (lower) GeV. The left column shows the results for pure ggF production and the right column shows the results for pure VBF production.

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Figure 10-a:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}} $ equal to 1 (upper), 10 (middle), and 100 (lower) GeV. The left column shows the results for pure ggF production and the right column shows the results for pure VBF production.

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Figure 10-b:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}} $ equal to 1 (upper), 10 (middle), and 100 (lower) GeV. The left column shows the results for pure ggF production and the right column shows the results for pure VBF production.

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Figure 10-c:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}} $ equal to 1 (upper), 10 (middle), and 100 (lower) GeV. The left column shows the results for pure ggF production and the right column shows the results for pure VBF production.

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Figure 10-d:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}} $ equal to 1 (upper), 10 (middle), and 100 (lower) GeV. The left column shows the results for pure ggF production and the right column shows the results for pure VBF production.

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Figure 10-e:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}} $ equal to 1 (upper), 10 (middle), and 100 (lower) GeV. The left column shows the results for pure ggF production and the right column shows the results for pure VBF production.

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Figure 10-f:
Observed and expected upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{X}\to\mathrm{Z}\mathrm{Z}) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}} $ equal to 1 (upper), 10 (middle), and 100 (lower) GeV. The left column shows the results for pure ggF production and the right column shows the results for pure VBF production.

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Figure 11:
Observed and expected 95% CL upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to X\to ZZ) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}}/m_{\mathrm{X}} $ up to 30%. The upper panel shows the results for pure ggF production, and the lower panel shows the results for pure VBF production.

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Figure 11-a:
Observed and expected 95% CL upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to X\to ZZ) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}}/m_{\mathrm{X}} $ up to 30%. The upper panel shows the results for pure ggF production, and the lower panel shows the results for pure VBF production.

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Figure 11-b:
Observed and expected 95% CL upper limits on $ \sigma(\mathrm{p}\mathrm{p}\to X\to ZZ) $ with $ m_{\mathrm{X}} $ from 130 GeV to 3 TeV and $ \Gamma_{\mathrm{X}}/m_{\mathrm{X}} $ up to 30%. The upper panel shows the results for pure ggF production, and the lower panel shows the results for pure VBF production.
Tables

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Table 1:
Summary of the experimental and theoretical uncertainties used in this analysis. Uncertainties affecting only the normalization are marked as ``norm'' in the table. Those affecting observable shapes are indicated as ``shape''.
Summary
A search for a spin-0 resonance decaying to a pair of Z bosons in the four-lepton final state, where the leptons are muons or electrons, is performed at the CMS experiment. The data set used was collected in 2016--2018 and corresponds to an integrated luminosity of 138 fb$ ^{-1} $. The searched-for resonance can be produced via gluon fusion or vector boson fusion. The mass of the sought resonance is scanned over a range from 130 GeV to 3 TeV, and different decay width assumptions are tested. No significant excess over the standard model background expectation is observed. The largest fluctuation is seen at a mass of 137.8 GeV under the narrow-width assumption, reaching a global significance of 1.8 standard deviations. Upper limits at 95% confidence level on the production cross section multiplied by the decay branching fraction of $ \mathrm{X}\to\mathrm{Z}\mathrm{Z} $ are set for various masses, decay widths, and production mechanisms. The exclusion limits range from 0.05--0.1 pb in the low-mass region to 0.005 pb in the high-mass region.
References
1 ATLAS Collaboration Observation of a new particle in the search for the standard model Higgs boson with the ATLAS detector at the LHC PLB 716 (2012) 1 1207.7214
2 CMS Collaboration Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC PLB 716 (2012) 30 CMS-HIG-12-028
1207.7235
3 CMS Collaboration Observation of a new boson with mass near 125 GeV in pp collisions at $ \sqrt{s}= $ 7 and 8 TeV JHEP 06 (2013) 81 CMS-HIG-12-036
1303.4571
4 G. C. Branco et al. Theory and phenomenology of two-Higgs-doublet models Phys. Rept. 516 (2012) 1 1106.0034
5 L. Randall and R. Sundrum Large mass hierarchy from a small extra dimension PRL 83 (1999) 3370 hep-ph/9905221
6 W. D. Goldberger and M. B. Wise Modulus stabilization with bulk fields PRL 83 (1999) 4922 hep-ph/9907447
7 A. Carvalho Gravity particles from warped extra dimensions, predictions for LHC 1404.0102
8 CMS Collaboration Search for a Higgs boson in the mass range from 145 to 1000 GeV decaying to a pair of W or Z bosons JHEP 10 (2015) 144 CMS-HIG-13-031
1504.00936
9 CMS Collaboration Search for a new scalar resonance decaying to a pair of Z bosons in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 06 (2018) 127 CMS-HIG-17-012
1804.01939
10 ATLAS Collaboration Search for an additional, heavy Higgs boson in the $ h\rightarrow zz $ decay channel at $ \sqrt{s} = $ 8 TeV in $ pp $ collision data with the ATLAS detector EPJC 76 (2016) 45 1507.05930
11 ATLAS Collaboration Search for heavy resonances decaying into a pair of Z bosons in the $ \ell ^+\ell ^-\ell '^+\ell '^- $ and $ \ell ^+\ell ^-\nu {{\bar{\nu }}} $ final states using 139 fb$ ^{-1} $ of proton-proton collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector EPJC 81 (2021) 332 2009.14791
12 CMS Collaboration HEPData record for this analysis link
13 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
14 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064 CMS-PRF-21-001
2309.05466
15 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
16 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
17 CMS Collaboration Performance of the CMS high-level trigger during LHC Run 2 JINST 19 (2024) P11021 CMS-TRG-19-001
2410.17038
18 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
19 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
20 CMS Collaboration Description and performance of track and primary-vertex reconstruction with the CMS tracker JINST 9 (2014) P10009 CMS-TRK-11-001
1405.6569
21 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
22 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, 2018
CMS-PAS-LUM-17-004
CMS-PAS-LUM-17-004
23 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, 2019
CMS-PAS-LUM-18-002
CMS-PAS-LUM-18-002
24 CMS Collaboration Measurements of production cross sections of the Higgs boson in the four-lepton final state in proton-proton collisions at $ \sqrt{s} = $ 13 TeV EPJC 81 (2021) 488 CMS-HIG-19-001
2103.04956
25 CMS Collaboration Measurement of the inclusive W and Z production cross sections in pp collisions at $ \sqrt{s}= $ 7 TeV with the CMS experiment JHEP 10 (2011) 132 CMS-EWK-10-005
1107.4789
26 S. Alioli, P. Nason, C. Oleari, and E. Re NLO vector-boson production matched with shower in POWHEG JHEP 07 (2008) 060 0805.4802
27 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
28 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
29 Y. Gao et al. Spin determination of single-produced resonances at hadron colliders PRD 81 (2010) 075022 1001.3396
30 S. Bolognesi et al. Spin and parity of a single-produced resonance at the LHC PRD 86 (2012) 095031 1208.4018
31 I. Anderson et al. Constraining anomalous HVV interactions at proton and lepton colliders PRD 89 (2014) 035007 1309.4819
32 A. V. Gritsan, R. Roentsch, 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
33 S. Goria, G. Passarino, and D. Rosco The Higgs-boson lineshape NPB 864 (2012) 530 1112.5517
34 G. Passarino, C. Sturm, and S. Uccirati Higgs pseudo-observables, second Riemann sheet and all that NPB 834 (2010) 77 1001.3360
35 K. Hamilton, P. Nason, E. Re, and G. Zanderighi NNLOPS simulation of Higgs boson production JHEP 10 (2013) 222 1309.0017
36 M. Grazzini, S. Kallweit, and D. Rathlev ZZ production at the LHC: fiducial cross sections and distributions in NNLO QCD PLB 750 (2015) 407 1507.06257
37 J. M. Campbell and R. K. Ellis MCFM for the Tevatron and the LHC Nucl. Phys. B Proc. Suppl. 20 (2010) 5 1007.3492
38 J. M. Campbell, R. K. Ellis, and C. Williams Vector boson pair production at the LHC JHEP 07 (2011) 018 1105.0020
39 J. M. Campbell, R. K. Ellis, and C. Williams Bounding the Higgs width at the LHC using full analytic results for $ \mathrm{g}\mathrm{g}\to \mathrm{e^-}\mathrm{e^+} \mu^- \mu^+ $ JHEP 04 (2014) 060 1311.3589
40 M. Bonvini et al. Signal-background interference effects for $ \mathrm{g}\mathrm{g} \to \mathrm{H} \to \mathrm{W}^+\mathrm{W}^- $ beyond leading order PRD 88 (2013) 034032 1304.3053
41 K. Melnikov and M. Dowling Production of two Z bosons in gluon fusion in the heavy top quark approximation PLB 744 (2015) 43 1503.01274
42 C. S. Li, H. T. Li, D. Y. Shao, and J. Wang Soft gluon resummation in the signal-background interference process of $ gg(\to h^*) \to ZZ $ JHEP 08 (2015) 65 1504.02388
43 S. Catani and M. Grazzini Next-to-next-to-leading-order subtraction formalism in hadron collisions and its application to Higgs-boson production at the Large Hadron Collider PRL 98 (2007) 222002 hep-ph/0703012
44 M. Grazzini NNLO predictions for the Higgs boson signal in the $ \mathrm{H}\to \mathrm{W}\mathrm{W}\to \ell\nu l\nu $ and $ \mathrm{H} \to\mathrm{Z}\mathrm{Z} \to 4\ell $ decay channels JHEP 02 (2008) 043 0801.3232
45 M. Grazzini and H. Sargsyan Heavy-quark mass effects in Higgs boson production at the LHC JHEP 09 (2013) 129 1306.4581
46 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
47 S. Frixione, P. Nason, and G. Ridolfi A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction JHEP 09 (2007) 126 0707.3088
48 A. V. Gritsan et al. New features in the JHU generator framework: constraining Higgs boson properties from on-shell and off-shell production PRD 102 (2020) 056022 2002.09888
49 T. Sj$\ddot \text o $strand et al. An introduction to PYTHIA 8.2 Comp. Phys. Commun. 191 (2015) 159 1410.3012
50 CMS Collaboration Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements EPJC 80 (2020) 4 CMS-GEN-17-001
1903.12179
51 NNPDF Collaboration Parton distributions for the LHC Run II JHEP 04 (2015) 040 1410.8849
52 GEANT4 Collaboration GEANT 4---a simulation toolkit NIM A 506 (2003) 250
53 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
54 CMS Collaboration Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015
link
55 T. Chen and C. Guestrin XGBoost: A scalable tree boosting system in 22nd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, KDD '16, 2016
Proc. 2 (2016) 785
1603.02754
56 CMS Collaboration Measurements of inclusive and differential cross sections for the Higgs boson production and decay to four-leptons in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 08 (2023) 40 CMS-HIG-21-009
2305.07532
57 CMS Collaboration Studies of Higgs boson production in the four-lepton final state at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, 2016
CMS-PAS-HIG-15-004
CMS-PAS-HIG-15-004
58 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\mathrm{T}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
59 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
60 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
61 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
62 CMS Collaboration Heavy flavor identification at CMS with deep neural networks CMS Detector Performance Note CMS-DP-2017-005, 2017
CDS
63 CMS Collaboration Performance summary of AK4 jet b tagging with data from proton-proton collisions at 13 TeV with the CMS detector CMS Detector Performance Note CMS-DP-2023-005, 2023
CDS
64 Particle Data Group Review of particle physics PRD 110 (2024) 030001
65 N. Kauer and G. Passarino Inadequacy of zero-width approximation for a light Higgs boson signal JHEP 08 (2012) 116 1206.4803
66 L. D. Landau On the energy loss of fast particles by ionisation J. Phys. (USSR) 8 417, 1944
link
67 CMS Collaboration Measurement of the Higgs boson mass and width using the four-lepton final state in proton-proton collisions at $ \sqrt{s} = $ 13 TeV PRD 111 (2025) 092014 CMS-HIG-21-019
2409.13663
68 LHC Higgs Cross Section Working Group Handbook of LHC Higgs cross sections: 4. deciphering the nature of the Higgs sector CERN Yellow Reports: Monographs. 201 (1900) 7
69 J. Butterworth et al. PDF4LHC recommendations for LHC Run II JPG 43 (2016) 023001 1510.03865
70 CMS Collaboration The CMS statistical analysis and combination tool: Combine Comput. Softw. Big Sci. 8 (2024) 19 CMS-CAT-23-001
2404.06614
71 T. Junk Confidence level computation for combining searches with small statistics NIM A 434 (1999) 435 hep-ex/9902006
72 A. L. Read Presentation of search results: The $ CL_s $ technique JPG 28 (2002) 2693
73 ATLAS and CMS Collaborations, and LHC Higgs Combination Group Procedure for the LHC Higgs boson search combination in Summer 2011 Technical Report CMS-NOTE-2011-005, ATL-PHYS-PUB-2011-11, 2011
74 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
75 L. Demortier P values and nuisance parameters in Proc. Workshop, PHYSTAT-LHC, Geneva, Switzerland , 2007, 23
link
76 E. Gross and O. Vitells Trial factors for the look elsewhere effect in high energy physics EPJC 70 (2010) 525 1005.1891
77 ATLAS Collaboration Search for resonances decaying into photon pairs in 139 fb$ ^{-1} $ of pp collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector PLB 822 (2021) 136651 2102.13405
78 CMS Collaboration Search for a new resonance decaying into two spin-0 bosons in a final state with two photons and two bottom quarks in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 05 (2024) 316 CMS-HIG-21-011
2310.01643
79 M. Consoli, L. Cosmai, and F. Fabbri Theoretical arguments and experimental signals for a second resonance of the Higgs field Universe 9 (2023) 99
80 M. Consoli and G. Rupp Second resonance of the Higgs field: motivations, experimental signals, unitarity constraints EPJC 84 (2024) 951 2308.01429
Compact Muon Solenoid
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