CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-B2G-24-022 ; CERN-EP-2026-020
Search for a new resonance decaying to a Higgs boson and a scalar boson in events with two b jets and two Z bosons in proton-proton collisions at $ \sqrt{s}= $ 13 TeV
Submitted to Physical Review D
Abstract: A search is performed for a new resonance $ \mathrm{X} $ decaying into either a pair of Higgs bosons (HH) or into a Higgs boson and a new scalar boson $\mathrm{Y}$ ($ \mathrm{HY} $), using proton-proton collision data collected at $ \sqrt{s}= $ 13 TeV, corresponding to an integrated luminosity of 138 fb$ ^{-1} $. This study performs a comprehensive exploitation of the $ \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ events, encompassing the following decay topologies. One H candidate is identified through its decay into a bottom quark-antiquark pair, while the other H or the $\mathrm{Y}$ candidate is selected through its decay into a pair of Z bosons. One Z boson is required to decay leptonically and the other, to decay into a pair of quarks or neutrinos. Events of interest are categorized based on the Lorentz boosts of the hadronically decaying H and Z bosons. Machine-learning-based discriminants, together with the reconstructed resonance mass, are employed across the different categories to separate signal from backgrounds, and their corresponding distributions are included in a simultaneous fit. No significant deviations from the standard model predictions are observed. Upper limits at the 95% confidence level are set on the HH and $ \mathrm{HY} $ production cross sections. For resonant HH production, the upper limit on the cross section of $ \mathrm{p}\mathrm{p}\to \mathrm{X}\to \mathrm{H}\mathrm{H} $ production is 1 pb for a high-mass resonance. For $ \mathrm{HY} $ production, the upper limit on the cross section of the process $ \mathrm{p}\mathrm{p}\to \mathrm{X}\to \mathrm{HY} \to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ is approximately 5 fb for a high-mass resonance. This is comparable to the sensitivity achieved in other analyses, which focus on H decays to $ \gamma\gamma $ or $ \tau\tau $ and $\mathrm{Y}$ decays into a pair of bottom quarks or massive vector bosons.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
A diagram illustrating the gluon-gluon fusion production of a resonance $ \mathrm{X} $, which subsequently decays into either HH or $ \mathrm{HY} $. One of the Higgs bosons or the scalar $\mathrm{Y}$ decays into two Z bosons. Of these, one Z boson decays either hadronically into a pair of quarks or invisibly into a pair of neutrinos, while the other Z boson decays leptonically into two charged leptons. The remaining Higgs boson decays into a pair of b quarks.

png pdf
Figure 2:
Pre-fit distributions of $ \Delta R(\ell,\ell) $, HT, $ \Delta R({\ell}_1,{\mathrm{b}}_1) $, and $ \Delta R({\ell}_1,{\mathrm{b}}_2) $ (from upper left to lower right) in the SR qq0M, combining the electron and muon channels of HH search and using all three data-taking years. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the total systematic uncertainties in the backgrounds. The last bin includes the overflow.

png pdf
Figure 2-a:
Pre-fit distributions of $ \Delta R(\ell,\ell) $, HT, $ \Delta R({\ell}_1,{\mathrm{b}}_1) $, and $ \Delta R({\ell}_1,{\mathrm{b}}_2) $ (from upper left to lower right) in the SR qq0M, combining the electron and muon channels of HH search and using all three data-taking years. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the total systematic uncertainties in the backgrounds. The last bin includes the overflow.

png pdf
Figure 2-b:
Pre-fit distributions of $ \Delta R(\ell,\ell) $, HT, $ \Delta R({\ell}_1,{\mathrm{b}}_1) $, and $ \Delta R({\ell}_1,{\mathrm{b}}_2) $ (from upper left to lower right) in the SR qq0M, combining the electron and muon channels of HH search and using all three data-taking years. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the total systematic uncertainties in the backgrounds. The last bin includes the overflow.

png pdf
Figure 2-c:
Pre-fit distributions of $ \Delta R(\ell,\ell) $, HT, $ \Delta R({\ell}_1,{\mathrm{b}}_1) $, and $ \Delta R({\ell}_1,{\mathrm{b}}_2) $ (from upper left to lower right) in the SR qq0M, combining the electron and muon channels of HH search and using all three data-taking years. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the total systematic uncertainties in the backgrounds. The last bin includes the overflow.

png pdf
Figure 2-d:
Pre-fit distributions of $ \Delta R(\ell,\ell) $, HT, $ \Delta R({\ell}_1,{\mathrm{b}}_1) $, and $ \Delta R({\ell}_1,{\mathrm{b}}_2) $ (from upper left to lower right) in the SR qq0M, combining the electron and muon channels of HH search and using all three data-taking years. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the total systematic uncertainties in the backgrounds. The last bin includes the overflow.

png pdf
Figure 3:
The distributions used for the fit in the four SRs of the $ \mathrm{b}\mathrm{b}\mathrm{Z}(\mathrm{q}\mathrm{q})\mathrm{Z}(\ell\ell) $ channel, combining the electron and muon channels of the HH search are shown. The upper left plot displays the $ s_{\text{BDT}} $ distribution in the SR qq0M. The remaining three plots show the reconstructed resonance mass $ m^{\text{rec}}_{\mathrm{X}} $ distributions in the qqZM, qqHM, and qq2M SRs, from upper right to lower right. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. These histograms account for the branching fractions of the $ \mathrm{H}\mathrm{H}\to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ and $ \mathrm{Z}\mathrm{Z}\to \mathrm{q}\mathrm{q}\ell\ell $ decays. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the overall uncertainty in the combined background expectations. The histograms of backgrounds are the post-fit ones, while the histograms of BSM signals are the pre-fit ones.

png pdf
Figure 3-a:
The distributions used for the fit in the four SRs of the $ \mathrm{b}\mathrm{b}\mathrm{Z}(\mathrm{q}\mathrm{q})\mathrm{Z}(\ell\ell) $ channel, combining the electron and muon channels of the HH search are shown. The upper left plot displays the $ s_{\text{BDT}} $ distribution in the SR qq0M. The remaining three plots show the reconstructed resonance mass $ m^{\text{rec}}_{\mathrm{X}} $ distributions in the qqZM, qqHM, and qq2M SRs, from upper right to lower right. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. These histograms account for the branching fractions of the $ \mathrm{H}\mathrm{H}\to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ and $ \mathrm{Z}\mathrm{Z}\to \mathrm{q}\mathrm{q}\ell\ell $ decays. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the overall uncertainty in the combined background expectations. The histograms of backgrounds are the post-fit ones, while the histograms of BSM signals are the pre-fit ones.

png pdf
Figure 3-b:
The distributions used for the fit in the four SRs of the $ \mathrm{b}\mathrm{b}\mathrm{Z}(\mathrm{q}\mathrm{q})\mathrm{Z}(\ell\ell) $ channel, combining the electron and muon channels of the HH search are shown. The upper left plot displays the $ s_{\text{BDT}} $ distribution in the SR qq0M. The remaining three plots show the reconstructed resonance mass $ m^{\text{rec}}_{\mathrm{X}} $ distributions in the qqZM, qqHM, and qq2M SRs, from upper right to lower right. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. These histograms account for the branching fractions of the $ \mathrm{H}\mathrm{H}\to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ and $ \mathrm{Z}\mathrm{Z}\to \mathrm{q}\mathrm{q}\ell\ell $ decays. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the overall uncertainty in the combined background expectations. The histograms of backgrounds are the post-fit ones, while the histograms of BSM signals are the pre-fit ones.

png pdf
Figure 3-c:
The distributions used for the fit in the four SRs of the $ \mathrm{b}\mathrm{b}\mathrm{Z}(\mathrm{q}\mathrm{q})\mathrm{Z}(\ell\ell) $ channel, combining the electron and muon channels of the HH search are shown. The upper left plot displays the $ s_{\text{BDT}} $ distribution in the SR qq0M. The remaining three plots show the reconstructed resonance mass $ m^{\text{rec}}_{\mathrm{X}} $ distributions in the qqZM, qqHM, and qq2M SRs, from upper right to lower right. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. These histograms account for the branching fractions of the $ \mathrm{H}\mathrm{H}\to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ and $ \mathrm{Z}\mathrm{Z}\to \mathrm{q}\mathrm{q}\ell\ell $ decays. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the overall uncertainty in the combined background expectations. The histograms of backgrounds are the post-fit ones, while the histograms of BSM signals are the pre-fit ones.

png pdf
Figure 3-d:
The distributions used for the fit in the four SRs of the $ \mathrm{b}\mathrm{b}\mathrm{Z}(\mathrm{q}\mathrm{q})\mathrm{Z}(\ell\ell) $ channel, combining the electron and muon channels of the HH search are shown. The upper left plot displays the $ s_{\text{BDT}} $ distribution in the SR qq0M. The remaining three plots show the reconstructed resonance mass $ m^{\text{rec}}_{\mathrm{X}} $ distributions in the qqZM, qqHM, and qq2M SRs, from upper right to lower right. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. These histograms account for the branching fractions of the $ \mathrm{H}\mathrm{H}\to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ and $ \mathrm{Z}\mathrm{Z}\to \mathrm{q}\mathrm{q}\ell\ell $ decays. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the overall uncertainty in the combined background expectations. The histograms of backgrounds are the post-fit ones, while the histograms of BSM signals are the pre-fit ones.

png pdf
Figure 4:
The distributions used for the fit in the two SRs of the $ \mathrm{b}\mathrm{b}\mathrm{Z}(\nu\nu)\mathrm{Z}(\ell\ell) $ channel, combining the electron and muon channels of the HH search are shown. The left plot displays the $ s_{\text{BDT}} $ distribution in the SR $ \nu\nu $0M, the right plot displays the reconstructed resonance mass $ {m}^{\text{rec}}_{\mathrm{X}^{\prime}} $ distributions in the SR $ \nu\nu $1M. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. These histograms account for the branching fractions of the $ \mathrm{H}\mathrm{H}\to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ and $ \mathrm{Z}\mathrm{Z}\to \ell\ell\nu\nu $ decays. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the overall uncertainty in the combined background expectations. The histograms of backgrounds are the post-fit ones, while the histograms of BSM signals are the pre-fit ones.

png pdf
Figure 4-a:
The distributions used for the fit in the two SRs of the $ \mathrm{b}\mathrm{b}\mathrm{Z}(\nu\nu)\mathrm{Z}(\ell\ell) $ channel, combining the electron and muon channels of the HH search are shown. The left plot displays the $ s_{\text{BDT}} $ distribution in the SR $ \nu\nu $0M, the right plot displays the reconstructed resonance mass $ {m}^{\text{rec}}_{\mathrm{X}^{\prime}} $ distributions in the SR $ \nu\nu $1M. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. These histograms account for the branching fractions of the $ \mathrm{H}\mathrm{H}\to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ and $ \mathrm{Z}\mathrm{Z}\to \ell\ell\nu\nu $ decays. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the overall uncertainty in the combined background expectations. The histograms of backgrounds are the post-fit ones, while the histograms of BSM signals are the pre-fit ones.

png pdf
Figure 4-b:
The distributions used for the fit in the two SRs of the $ \mathrm{b}\mathrm{b}\mathrm{Z}(\nu\nu)\mathrm{Z}(\ell\ell) $ channel, combining the electron and muon channels of the HH search are shown. The left plot displays the $ s_{\text{BDT}} $ distribution in the SR $ \nu\nu $0M, the right plot displays the reconstructed resonance mass $ {m}^{\text{rec}}_{\mathrm{X}^{\prime}} $ distributions in the SR $ \nu\nu $1M. Three histograms corresponding to resonance masses of 500 GeV, 1000 GeV, and 2000 GeV are also included in the plots, with the cross section of production of resonance $ \mathrm{X} $ set to 100\unitpb and its branching fraction to HH set to 1. These histograms account for the branching fractions of the $ \mathrm{H}\mathrm{H}\to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ and $ \mathrm{Z}\mathrm{Z}\to \ell\ell\nu\nu $ decays. The lower panel in each plot displays the ratio of the data to the total SM prediction, with the hatched bands representing the overall uncertainty in the combined background expectations. The histograms of backgrounds are the post-fit ones, while the histograms of BSM signals are the pre-fit ones.

png pdf
Figure 5:
Upper limits on the production cross section of $ \mathrm{p}\mathrm{p}\to \mathrm{X}\to \mathrm{H}\mathrm{H} $ with respect to the resonance mass $ m_{\mathrm{X}} $, combining all the SRs as well as the electron and muon channels, and taking into account the theoretical prediction of the branching fraction of the resonance to HH. The inner (green) band and the outer (yellow) band indicate the regions containing 68% and 95%, respectively, of the distribution of limits expected under the background-only hypothesis. The theoretical values (red dashed line) are also provided on the plot.

png pdf
Figure 6:
Upper limits on the production cross section of $ \mathrm{p}\mathrm{p}\to \mathrm{X}\to \mathrm{HY} \to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ in the two-dimensional parameter space of the masses of the two BSM scalars ($ m_\mathrm{X} $, $ m_{\mathrm{Y}} $) combining all the SRs as well as the electron and muon channels. The inner (green) band and the outer (yellow) band indicate the regions containing 68% and 95%, respectively, of the distribution of limits expected under the background-only hypothesis.

png pdf
Figure 6-a:
Upper limits on the production cross section of $ \mathrm{p}\mathrm{p}\to \mathrm{X}\to \mathrm{HY} \to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ in the two-dimensional parameter space of the masses of the two BSM scalars ($ m_\mathrm{X} $, $ m_{\mathrm{Y}} $) combining all the SRs as well as the electron and muon channels. The inner (green) band and the outer (yellow) band indicate the regions containing 68% and 95%, respectively, of the distribution of limits expected under the background-only hypothesis.

png pdf
Figure 6-b:
Upper limits on the production cross section of $ \mathrm{p}\mathrm{p}\to \mathrm{X}\to \mathrm{HY} \to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ in the two-dimensional parameter space of the masses of the two BSM scalars ($ m_\mathrm{X} $, $ m_{\mathrm{Y}} $) combining all the SRs as well as the electron and muon channels. The inner (green) band and the outer (yellow) band indicate the regions containing 68% and 95%, respectively, of the distribution of limits expected under the background-only hypothesis.
Tables

png pdf
Table 1:
Definitions of all SRs and CRs. Here, $ p_{\mathrm{T}}^{\ell_1} $ ($ p_{\mathrm{T}}^{\ell_2} $) denotes the transverse momentum of the leading (subleading) lepton; $ {n}^\text{AK8 jet} $, $ {n}^{\mathrm{H}\mathrm{b}\mathrm{b}} $, $ {n}^\text{AK4 jet} $, and $ {n}^\text{AK4 \mathrm{b} jet} $ represent the number of AK8 jets, AK8 jets passing the $ \mathrm{PNT}_{\mathrm{b}\mathrm{b}} $ threshold, AK4 jets, and b-tagged AK4 jets, respectively. All energy-related quantities are given in GeV.
Summary
A search for a new resonance $ \mathrm{X} $ decaying into either a pair of Higgs bosons (HH) or into a Higgs boson and a new scalar boson $\mathrm{Y}$ ($ \mathrm{HY} $) has been conducted in this study, using proton-proton collision data collected by the CMS experiment from 2016 to 2018 at $ \sqrt{s}= $ 13 TeV, corresponding to an integrated luminosity of 138 fb$ ^{-1} $. The events of interest are characterized by two b quarks from the decay of one Higgs boson, as well as two leptons and either two additional quarks or two neutrinos from two Z bosons produced by the decay of the other H or the $\mathrm{Y}$. No significant deviations are observed in the signal regions between the data and standard model predictions. For resonant HH production, upper limits are placed on the cross section for the process $ \mathrm{p}\mathrm{p}\to \mathrm{X}\to \mathrm{H}\mathrm{H} $ as a function of the resonance mass, varying from 400\unitpb to 1\unitpb as $ m_\mathrm{X} $ increases. For resonant $ \mathrm{HY} $ production, upper limits are set on the cross section for the process $ \mathrm{p}\mathrm{p}\to \mathrm{X}\to \mathrm{HY} \to \mathrm{b}\mathrm{b}\mathrm{Z}\mathrm{Z} $ in the two-dimensional parameter space of the masses $ m_\mathrm{X} $ and $ m_{\mathrm{Y}} $, varying from about 5\unitfb to 500\unitfb. This is comparable to the limits achieved in other analyses, which focus on H decays to $ \gamma\gamma $ or $ \tau\tau $ and $\mathrm{Y}$ decays into a pair of bottom quarks or massive vector bosons.
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) 081 CMS-HIG-12-036
1303.4571
4 L. Randall and R. Sundrum An alternative to compactification PRL 83 (1999) 4690 hep-th/9906064
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 C. Csa ki, M. Graesser, L. Randall, and J. Terning Cosmology of brane models with radion stabilization PRD 62 (2000) 045015 hep-ph/9911406
8 C. Csa ki, M. L. Graesser, and G. D. Kribs Radion dynamics and electroweak physics PRD 63 (2001) 065002 hep-th/0008151
9 H. Davoudiasl, J. L. Hewett, and T. G. Rizzo Phenomenology of the randall-sundrum gauge hierarchy model PRL 84 (2000) 2080 hep-ph/9909255
10 O. DeWolfe, D. Z. Freedman, S. S. Gubser, and A. Karch Modeling the fifth dimension with scalars and gravity PRD 62 (2000) 046008 hep-th/9909134
11 K. Agashe, H. Davoudiasl, G. Perez, and A. Soni Warped gravitons at the CERN LHC and beyond PRD 76 (2007) 036006 hep-ph/0701186
12 Yu. A. Golfand and E. P. Likhtman Extension of the algebra of Poincaré group generators and violation of P-invariance JETP Lett. 13 (1971) 323
13 J. Wess and B. Zumino Supergauge transformations in four-dimensions NPB 70 (1974) 39
14 P. Fayet Supergauge invariant extension of the Higgs mechanism and a model for the electron and its neutrino NPB 90 (1975) 104
15 P. Fayet Spontaneously broken supersymmetric theories of weak, electromagnetic and strong interactions PLB 69 (1977) 489
16 U. Ellwanger, C. Hugonie, and A. M. Teixeira The Next-to-Minimal Supersymmetric Standard Model Phys. Rept. 496 (2010) 1 0910.1785
17 M. Maniatis The Next-to-Minimal Supersymmetric extension of the Standard Model reviewed Int. J. Mod. Phys. A 25 (2010) 3505 0906.0777
18 J. E. Kim and H. P. Nilles The $ \mu $-problem and the strong CP-problem PLB 138 (1984) 150
19 CMS Collaboration Search for resonant pair production of Higgs bosons in the $ bbZZ $ channel in proton-proton collisions at $ \sqrt{s}=13\text{ }\text{ }\mathrm{TeV} $ PRD 102 (2020) 032003 CMS-HIG-18-013
2006.06391
20 CMS Collaboration Search for Higgs boson pair production in the $ \textrm{b}\overline{\textrm{b}}{\textrm{W}}^{+}{\textrm{W}}^{-} $ decay mode in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 07 (2024) 293 CMS-HIG-21-005
2403.09430
21 CMS Collaboration Searches for Higgs boson production through decays of heavy resonances Phys. Rept. 1115 (2025) 368 2403.16926
22 ATLAS Collaboration Search for a new heavy scalar particle decaying into a Higgs boson and a new scalar singlet in final states with one or two light leptons and a pair of $ \tau $-leptons with the ATLAS detector JHEP 10 (2023) 009 2307.11120
23 ATLAS Collaboration Search for a resonance decaying into a scalar particle and a Higgs boson in the final state with two bottom quarks and two photons with 199 fb$ ^{-1} $ of data collected at $ \sqrt{s} = $ 13 TeV and $ \sqrt{s} = $ 13.6 TeV with the ATLAS detector Submitted to Phys. Lett. B, 2025 2510.02857
24 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
25 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064 CMS-PRF-21-001
2309.05466
26 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
27 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
28 CMS Collaboration Performance of the CMS high-level trigger during LHC Run 2 JINST 19 (2024) P11021 CMS-TRG-19-001
2410.17038
29 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
30 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
31 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
32 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
33 T. Sjöstrand et al. An introduction to PYTHIA 8.2 Comput. Phys. Commun. 191 (2015) 159 1410.3012
34 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
35 R. Gavin, Y. Li, F. Petriello, and S. Quackenbush FEWZ 2.0: A code for hadronic Z production at next-to-next-to-leading order Comput. Phys. Commun. 182 (2011) 2388 1011.3540
36 S. Frixione, G. Ridolfi, and P. Nason A Positive-Weight Next-to-Leading-Order Monte Carlo for Heavy Flavour Hadroproduction JHEP 09 (2007) 126 0707.3088
37 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
38 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
39 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
40 GEANT4 Collaboration GEANT 4---a simulation toolkit NIM A 506 (2003) 250
41 J. Allison et al. Geant4 developments and applications IEEE Trans. Nucl. Sci. 53 (2006) 270
42 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
43 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
44 CMS Collaboration Technical Proposal for the Phase-II Upgrade of the CMS Detector link
45 CMS Collaboration Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at $ \sqrt{s} = $ 8 TeV JINST 10 (2015) P06005 CMS-EGM-13-001
1502.02701
46 A. Hoecker et al. TMVA - Toolkit for Multivariate Data Analysis PoS ACAT 04 (2007) 0 physics/0703039
47 CMS Collaboration Evidence for associated production of a Higgs boson with a top quark pair in final states with electrons, muons, and hadronically decaying $ \tau $ leptons at $ \sqrt{s} = $ 13 TeV JHEP 08 (2018) 066 CMS-HIG-17-018
1803.05485
48 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\mathrm{T}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
49 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
50 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
51 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
52 A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler Soft drop JHEP 05 (2014) 146 1402.2657
53 E. Bols et al. Jet flavour classification using DeepJet JINST 15 (2020) P12012 2008.10519
54 CMS Collaboration Performance of the DeepJet b tagging algorithm using 41.9 fb$ ^{-1} $ of data from proton-proton collisions at 13 TeV with Phase-1 CMS detector CMS Detector Performance Note CMS-DP-2018-058, 2018
CDS
55 H. Qu and L. Gouskos Jet tagging via particle clouds PRD 101 (2020) 056019 1902.08570
56 CMS Collaboration Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JINST 20 (2025) P11006 CMS-BTV-22-001
2510.10228
57 J. Dolen et al. Thinking outside the ROCs: Designing decorrelated taggers (DDT) for jet substructure JHEP 05 (2016) 156 1603.00027
58 CMS Collaboration Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques JINST 15 (2020) P06005 CMS-JME-18-002
2004.08262
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 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
61 CMS Collaboration Measurement of vector boson scattering and constraints on anomalous quartic couplings from events with four leptons and two jets in proton-proton collisions at $ \sqrt{s}= $ 13 TeV PLB 774 (2017) 682 CMS-SMP-17-006
1708.02812
62 LHC Higgs Cross Section Working Group Handbook of LHC Higgs Cross Sections: 4. Deciphering the Nature of the Higgs Sector CERN Report, 2017
link
1610.07922
63 R. Frederix and I. Tsinikos On improving NLO merging for $ \mathrm{t}\overline{\mathrm{t}}\mathrm{W} $ production JHEP 11 (2021) 029 2108.07826
64 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
65 J. H. Friedman Greedy function approximation: A gradient boosting machine. Ann. Stat. 29 (2001) 1189
66 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
67 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, 2018
CDS
68 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, 2019
CDS
69 CMS Collaboration Measurement of the inelastic proton-proton cross section at $ \sqrt{s}= $13 TeV JHEP 07 (2018) 161 CMS-FSQ-15-005
1802.02613
70 M. Cacciari et al. The $ {\mathrm{t}\overline{\mathrm{t}}} $ cross-section at 1.8 and 1.96 TeV: a study of the systematics due to parton densities and scale dependence JHEP 04 (2004) 068 hep-ph/0303085
71 S. Catani, D. d. Florian, M. Grazzini, and P. Nason Soft gluon resummation for Higgs boson production at hadron colliders JHEP 07 (2003) 028 hep-ph/0306211
72 J. Butterworth et al. PDF4LHC recommendations for LHC Run II JPG 43 (2016) 023001 1510.03865
73 LHC Higgs Cross Section Working Group Handbook of LHC Higgs Cross Sections: 3. Higgs Properties CERN Report, 2013
link
1307.1347
74 CMS Collaboration The CMS statistical analysis and combination tool: Combine Comp. Softw. Big Sci. 8 (2024) 19 CMS-CAT-23-001
2404.06614
75 W. Verkerke and D. Kirkby The RooFit toolkit for data modeling in the Int. Conf. on Computing in High Energy and Nuclear Physics (CHEP ): La Jolla CA, United States, March 24--28,, 2003
Proc. 1 (2003) 3
physics/0306116
76 L. Moneta et al. The RooStats project in the Int. Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT ): Jaipur, India, February 22--27,, 2010
Proc. 1 (2010) 3
1009.1003
77 T. Junk Confidence level computation for combining searches with small statistics NIM A 434 (1999) 435 hep-ex/9902006
78 A. L. Read Presentation of search results: The CL$ _{\text{s}} $ technique JPG 28 (2002) 2693
79 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
80 A. Carvalho Gravity particles from Warped Extra Dimensions, predictions for LHC link 1404.0102
81 CMS Collaboration HEPData record for this analysis link
Compact Muon Solenoid
LHC, CERN