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| CMS-PAS-HIG-21-005 | ||
| Search for HH production in the bbWW decay mode | ||
| CMS Collaboration | ||
| 28 March 2023 | ||
| Abstract: In this note we present the results of a search for Higgs boson pair (HH) production with one Higgs boson decaying to two bottom quarks and the other to two W bosons. The search is based on proton-proton collision data recorded at $ \sqrt{s} = $ 13 TeV center-of-mass energy, corresponding to an integrated luminosity of 138 fb$^{-1}$. The final states considered include at least one leptonically decaying W boson. No evidence for the presence of a signal is observed and corresponding upper limits on the HH production cross section are set. The limit on the inclusive cross section of the nonresonant HH production, assuming standard model kinematics, is observed (expected) to be 14 (18) times the value predicted by the standard model, at 95% confidence level. The limits on the cross section are also shown as a function of various Higgs boson coupling modifiers, and in a variety of anomalous Higgs boson couplings. Limits are also set on the resonant HH production for resonances with spin 0 and spin 2 within the mass range 250-900 GeV. | ||
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Links:
CDS record (PDF) ;
CADI line (restricted) ;
These preliminary results are superseded in this paper, Submitted to JHEP. The superseded preliminary plots can be found here. |
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| Figures | |
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Figure 1:
Leading order Feynman diagrams of Higgs pair production via gluon fusion for nonresonant production in the SM. |
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Figure 1-a:
Leading order Feynman diagrams of Higgs pair production via gluon fusion for nonresonant production in the SM. |
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Figure 1-b:
Leading order Feynman diagrams of Higgs pair production via gluon fusion for nonresonant production in the SM. |
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Figure 2:
Leading order Feynman diagrams of Higgs pair production via gluon fusion for nonresonant production with anomalous Higgs couplings. |
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Figure 2-a:
Leading order Feynman diagrams of Higgs pair production via gluon fusion for nonresonant production with anomalous Higgs couplings. |
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Figure 2-b:
Leading order Feynman diagrams of Higgs pair production via gluon fusion for nonresonant production with anomalous Higgs couplings. |
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Figure 2-c:
Leading order Feynman diagrams of Higgs pair production via gluon fusion for nonresonant production with anomalous Higgs couplings. |
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Figure 3:
Feynman diagrams of Higgs pair production via vector boson fusion, nonresonant production in the Standard Model. |
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Figure 3-a:
Feynman diagrams of Higgs pair production via vector boson fusion, nonresonant production in the Standard Model. |
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Figure 3-b:
Feynman diagrams of Higgs pair production via vector boson fusion, nonresonant production in the Standard Model. |
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Figure 3-c:
Feynman diagrams of Higgs pair production via vector boson fusion, nonresonant production in the Standard Model. |
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Figure 4:
The distributions of some of the discriminants included in the DNN training for the single lepton channel (top) and the dilepton channel (bottom). The distributions are shown after performing a maximum likelihood fit on the data for the variable pictured, using the same set of nuisence paremeters (8) as in the likelihood fit used to extract the signal. The variables are from top left to bottom right: the invariant mass of the two b-tagged jets; the $ H_T $ variable, defined as the scalar sum of all selected jets; the missing transverse momentum; the invariant mass of the two leptons. |
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Figure 4-a:
The distributions of some of the discriminants included in the DNN training for the single lepton channel (top) and the dilepton channel (bottom). The distributions are shown after performing a maximum likelihood fit on the data for the variable pictured, using the same set of nuisence paremeters (8) as in the likelihood fit used to extract the signal. The variables are from top left to bottom right: the invariant mass of the two b-tagged jets; the $ H_T $ variable, defined as the scalar sum of all selected jets; the missing transverse momentum; the invariant mass of the two leptons. |
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Figure 4-b:
The distributions of some of the discriminants included in the DNN training for the single lepton channel (top) and the dilepton channel (bottom). The distributions are shown after performing a maximum likelihood fit on the data for the variable pictured, using the same set of nuisence paremeters (8) as in the likelihood fit used to extract the signal. The variables are from top left to bottom right: the invariant mass of the two b-tagged jets; the $ H_T $ variable, defined as the scalar sum of all selected jets; the missing transverse momentum; the invariant mass of the two leptons. |
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Figure 4-c:
The distributions of some of the discriminants included in the DNN training for the single lepton channel (top) and the dilepton channel (bottom). The distributions are shown after performing a maximum likelihood fit on the data for the variable pictured, using the same set of nuisence paremeters (8) as in the likelihood fit used to extract the signal. The variables are from top left to bottom right: the invariant mass of the two b-tagged jets; the $ H_T $ variable, defined as the scalar sum of all selected jets; the missing transverse momentum; the invariant mass of the two leptons. |
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Figure 4-d:
The distributions of some of the discriminants included in the DNN training for the single lepton channel (top) and the dilepton channel (bottom). The distributions are shown after performing a maximum likelihood fit on the data for the variable pictured, using the same set of nuisence paremeters (8) as in the likelihood fit used to extract the signal. The variables are from top left to bottom right: the invariant mass of the two b-tagged jets; the $ H_T $ variable, defined as the scalar sum of all selected jets; the missing transverse momentum; the invariant mass of the two leptons. |
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Figure 5:
The distributions of the DNN discriminants of the nonresonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Higgs bottom left and WJets + Other on the bottom right. The event categories are summarised in table 1. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 5-a:
The distributions of the DNN discriminants of the nonresonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Higgs bottom left and WJets + Other on the bottom right. The event categories are summarised in table 1. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 5-b:
The distributions of the DNN discriminants of the nonresonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Higgs bottom left and WJets + Other on the bottom right. The event categories are summarised in table 1. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 5-c:
The distributions of the DNN discriminants of the nonresonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Higgs bottom left and WJets + Other on the bottom right. The event categories are summarised in table 1. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 5-d:
The distributions of the DNN discriminants of the nonresonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Higgs bottom left and WJets + Other on the bottom right. The event categories are summarised in table 1. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 6:
The distributions of the DNN discriminants of the nonresonant search, for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Other bottom left and DY + Multi-boson on the bottom right. The event categories are summarised in table 2. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 6-a:
The distributions of the DNN discriminants of the nonresonant search, for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Other bottom left and DY + Multi-boson on the bottom right. The event categories are summarised in table 2. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 6-b:
The distributions of the DNN discriminants of the nonresonant search, for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Other bottom left and DY + Multi-boson on the bottom right. The event categories are summarised in table 2. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 6-c:
The distributions of the DNN discriminants of the nonresonant search, for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Other bottom left and DY + Multi-boson on the bottom right. The event categories are summarised in table 2. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 6-d:
The distributions of the DNN discriminants of the nonresonant search, for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, HH(VBF) top right, Top + Other bottom left and DY + Multi-boson on the bottom right. The event categories are summarised in table 2. The signal shown is scaled to the extected upper limit on cross section. |
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Figure 7:
The distributions of the DNN discriminants of the resonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, Top + Higgs top right and WJets + Other on the bottom. The event categories are summarised in table 1. The signal shown is scaled to cross section equal to 1 pb. |
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Figure 7-a:
The distributions of the DNN discriminants of the resonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, Top + Higgs top right and WJets + Other on the bottom. The event categories are summarised in table 1. The signal shown is scaled to cross section equal to 1 pb. |
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Figure 7-b:
The distributions of the DNN discriminants of the resonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, Top + Higgs top right and WJets + Other on the bottom. The event categories are summarised in table 1. The signal shown is scaled to cross section equal to 1 pb. |
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Figure 7-c:
The distributions of the DNN discriminants of the resonant search for each event category for the single lepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, Top + Higgs top right and WJets + Other on the bottom. The event categories are summarised in table 1. The signal shown is scaled to cross section equal to 1 pb. |
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Figure 8:
The distributions of the DNN discriminants of the resonant search for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, Top + Other top right and DY + Multi-boson on the bottom. The event categories are summarised in table 2. The signal shown is scaled to cross section equal to 1 pb. |
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Figure 8-a:
The distributions of the DNN discriminants of the resonant search for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, Top + Other top right and DY + Multi-boson on the bottom. The event categories are summarised in table 2. The signal shown is scaled to cross section equal to 1 pb. |
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Figure 8-b:
The distributions of the DNN discriminants of the resonant search for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, Top + Other top right and DY + Multi-boson on the bottom. The event categories are summarised in table 2. The signal shown is scaled to cross section equal to 1 pb. |
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Figure 8-c:
The distributions of the DNN discriminants of the resonant search for each event category for the dilepton channel, after performing a maximum likelihood fit on the data on the same distributions. The DNN discriminant for the HH(GGF) category is shown on the top left, Top + Other top right and DY + Multi-boson on the bottom. The event categories are summarised in table 2. The signal shown is scaled to cross section equal to 1 pb. |
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Figure 9:
Observed and expected 95% CL upper limits on the SM HH production cross section, obtained for both channels and from their simultaneous fit |
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Figure 10:
Observed and expected 95% CL upper limits on the SM production via VBF cross section, obtained for both channels and from their simultaneous fit |
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Figure 11:
Observed and expected 95% CL upper limits on the HH production cross section as a function of the Higgs boson self-coupling strength modifier $ \kappa_\lambda $. All Higgs boson couplings other than $ \lambda $ are assumed to have the values predicted in the SM. Overlaid in red is the curve representing the predicted HH production cross section. |
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Figure 12:
Observed and expected 95% CL upper limits on the HH production via VBF cross section as a function of the effective coupling $ \kappa_\text{2V} $. The ggF contribution in this case is set to the SM expectation. All other Higgs boson couplings are assumed to have the values predicted in the SM. Overlaid in red is the curve representing the predicted HH production cross section. |
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Figure 13:
Observed and expected 95% CL upper limits on the HH production cross section as a function of the effective couplings $ \kappa_\lambda $ and $ \kappa_\text{2V} $. The ggF contribution in this case is set to the SM expectation. All other Higgs boson couplings are assumed to have the values predicted in the SM. |
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Figure 14:
Observed and expected 95% CL upper limits on the HH production via VBF cross section as a function of the effective couplings $ \kappa_\text{V} $ and $ \kappa_\text{2V} $. The ggF contribution in this case is set to the SM expectation. All other Higgs boson couplings are assumed to have the values predicted in the SM. |
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Figure 15:
Observed and expected 95% CL upper limits on the HH production cross section as a function of the effective couplings $ \kappa_\lambda $ and $ \kappa_{\mathrm{t}} $. All other Higgs boson couplings are assumed to have the values predicted in the SM. |
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Figure 16:
Observed and expected 95% CL upper limits on the HH production cross section for two different benchmark scenarios ``JHEP04'' and ``JHEP03'' from Refs. [73,74]. |
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Figure 17:
Observed and expected 95% CL upper limits on the HH production cross section as a function of the effective coupling(s) $ \text{c}_2 $ (top) and in the $ \kappa_\lambda-\text{c}_2 $ plane (bottom). All other Higgs boson couplings are assumed to have the values predicted in the SM. Overlaid in red (top) is the curve representing the predicted HH production cross section. |
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Figure 17-a:
Observed and expected 95% CL upper limits on the HH production cross section as a function of the effective coupling(s) $ \text{c}_2 $ (top) and in the $ \kappa_\lambda-\text{c}_2 $ plane (bottom). All other Higgs boson couplings are assumed to have the values predicted in the SM. Overlaid in red (top) is the curve representing the predicted HH production cross section. |
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Figure 17-b:
Observed and expected 95% CL upper limits on the HH production cross section as a function of the effective coupling(s) $ \text{c}_2 $ (top) and in the $ \kappa_\lambda-\text{c}_2 $ plane (bottom). All other Higgs boson couplings are assumed to have the values predicted in the SM. Overlaid in red (top) is the curve representing the predicted HH production cross section. |
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Figure 18:
Observed and expected 95% CL upper limits on the production of new particles $ X $ of spin 0 (left) and spin 2 (right) and mass $ mpb $ in the range 250 $ \leq m_{\mathrm{X}} \leq $ 900 GeV, which decay to Higgs boson pairs. Benchmark scenarios for Bulk Radion (top) and Bulk Graviton (bottom). |
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Figure 18-a:
Observed and expected 95% CL upper limits on the production of new particles $ X $ of spin 0 (left) and spin 2 (right) and mass $ mpb $ in the range 250 $ \leq m_{\mathrm{X}} \leq $ 900 GeV, which decay to Higgs boson pairs. Benchmark scenarios for Bulk Radion (top) and Bulk Graviton (bottom). |
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Figure 18-b:
Observed and expected 95% CL upper limits on the production of new particles $ X $ of spin 0 (left) and spin 2 (right) and mass $ mpb $ in the range 250 $ \leq m_{\mathrm{X}} \leq $ 900 GeV, which decay to Higgs boson pairs. Benchmark scenarios for Bulk Radion (top) and Bulk Graviton (bottom). |
| Tables | |
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Table 1:
The summary of the categories of events according to the DNN based multiclassification and $ \mathrm{H}\to \mathrm{b}\bar{\mathrm{b}} $ topology for the single lepton channel. |
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Table 2:
The summary of the categories of events according to the DNN based multiclassification and $ \mathrm{H}\to \mathrm{b}\bar{\mathrm{b}} $ topology for the dilepton channel. |
| Summary |
| In this note, a search for HH production in the $ {\mathrm{H}\mathrm{H}}\to\mathrm{b}\bar{\mathrm{b}}\mathrm{W}\mathrm{W} $ decay channel is presented. The nonresonant and the resonant production are studied. No significant deviation from the SM expected signal is found and upper limits are set on the HH production cross section. The total cross section for the inclusive nonresonant HH production $ {\mathrm{H}\mathrm{H}}\to\mathrm{b}\bar{\mathrm{b}}\mathrm{W}\mathrm{W} $ can be excluded up to a minimum of 14 times the value predicted by the SM at 95% confidence level. Compared to previous results on the same process [77], that reported an observed exclusion limit at 79 times the predicted value using the 35.9 fb$ ^{-1} $ integrated luminosity collected in 2016, this search represents a significant improvement with a factor of five gain in terms of sensitivity. The VBF production is excluded up to 277 times the SM value. The limits on cross section are also shown as a function on $ \kappa_\lambda $, $ \kappa_\text{2V} $, and $ \text{c}_2 $ couplings, assuming standard model values for all other coupling modifiers. The $ \kappa_\lambda $ coupling is constrained between -7.2 and 13.8 and the $ \kappa_\text{2V} $ coupling is constrained between -1.1 and 3.2. The BSM coupling $ \text{c}_2 $ is constrained between -0.8 and 1.3. Two-dimensional exclusion contours were drawn as a function of $ \kappa_\lambda $, $ \kappa_{\mathrm{t}} $, $ \kappa_\text{V} $, $ \kappa_\text{2V} $, and $ \text{c}_2 $. Upper limits are also set for various combinations of the ($ \kappa_\lambda $, $ \kappa_{\mathrm{t}} $, $ \text{c}_2 $, $ \text{c}_\text{g} $, $ \text{c}_{2\text{g}} $) coupling modifiers. Two sets of benchmarks are explored, selected to sample over the entire phase space. The HH production via a heavy resonance was studied in the mass range from 260 to 900 GeV. Spin-0 and spin-2 scenarios for the resonance are tested and compared to the common theoretical benchmarks of a heavy CP-even scalar radion and a graviton. |
| References | ||||
| 1 | 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 |
| 2 | 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 |
| 3 | CMS Collaboration | Combined measurements of Higgs boson couplings in proton--proton collisions at $ \sqrt{s}=$ 13 TeV | EPJC 79 (2019) 421 | CMS-HIG-17-031 1809.10733 |
| 4 | ATLAS Collaboration | Combined measurements of Higgs boson production and decay using up to 80 fb$ ^{-1} $ of proton-proton collision data at $ \sqrt{s}= $ 13 TeV collected with the ATLAS experiment | PRD 101 (2020) 012002 | 1909.02845 |
| 5 | S. Borowka et al. | Higgs boson pair production in gluon fusion at next-to-leading order with full top-quark mass dependence | PRL 117 (2016) | 1604.06447 |
| 6 | J. Baglio et al. | Gluon fusion into Higgs pairs at NLO QCD and the top mass scheme | EPJC 79 (2019) | 1811.05692 |
| 7 | F. A. Dreyer and A. Karlberg | Vector-boson fusion Higgs pair production at N3LO | PRD 98 (2018) | 1811.07906 |
| 8 | K. Cheung | Phenomenology of radion in Randall-Sundrum scenario | PRD 63 (2001) 056007 | hep-ph/0009232 |
| 9 | G. C. Branco et al. | Theory and phenomenology of two-higgs-doublet models | Physics Reports 516 (2012) 1 | 1106.0034 |
| 10 | L. Randall and R. Sundrum | A Large mass hierarchy from a small extra dimension | PRL 83 (1999) 3370 | hep-ph/9905221 |
| 11 | W. D. Goldberger and M. B. Wise | Modulus stabilization with bulk fields | PRL 83 (1999) 4922 | hep-ph/9907447 |
| 12 | 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 |
| 13 | 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 |
| 14 | CMS Collaboration | CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV | CMS Physics Analysis Summary, 2019 CMS-PAS-LUM-18-002 |
CMS-PAS-LUM-18-002 |
| 15 | CMS Collaboration | The CMS experiment at the CERN LHC | JINST 3 (2008) S08004 | |
| 16 | CMS Collaboration | A portrait of the Higgs boson by the CMS experiment ten years after the discovery | Nature 607 (2022) 60 | CMS-HIG-22-001 2207.00043 |
| 17 | ATLAS Collaboration | Constraining the Higgs boson self-coupling from single- and double-Higgs production with the ATLAS detector using pp collisions at $ \sqrt{s}= $ 13 TeV | submitted to PLB, 2022 link |
|
| 18 | ATLAS Collaboration | Search for non-resonant Higgs boson pair production in the $ bb\ell\ell\nu\nu $ final state with the ATLAS detector in pp collisions at $ \sqrt{s} = $ 13 TeV | PLB 801 (2020) 135145 | 1908.06765 |
| 19 | CMS Collaboration | The CMS trigger system | JINST 12 (2017) P01020 | |
| 20 | P. Nason | A new method for combining NLO QCD with shower Monte Carlo algorithms | JHEP 11 (2004) 040 | hep-ph/0409146 |
| 21 | S. Frixione, P. Nason, and C. Oleari | Matching NLO QCD computations with parton shower simulations: the POWHEG method | JHEP 11 (2007) 070 | 0709.2092 |
| 22 | S. Alioli, P. Nason, C. Oleari, and E. Re | A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX | JHEP 06 (2010) 043 | 1002.2581 |
| 23 | T. Sjostrand, S. Mrenna, and P. Z. Skands | A brief introduction to PYTHIA 8.1 | Comput. Phys. Commun. 178 (2008) 852 | 0710.3820 |
| 24 | 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 |
| 25 | J. Alwall et al. | Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions | EPJC 53 (2007) 473 | 0706.2569 |
| 26 | R. Frederix and S. Frixione | Merging meets matching in MC@NLO | JHEP 61 (2012) | 1209.6215 |
| 27 | K. Ehatäht and C. Veelken | Stitching Monte Carlo samples | EPJC 82 (2022) 484 | 2106.04360 |
| 28 | K. Melnikov and F. Petriello | Electroweak gauge boson production at hadron colliders through O($ \alpha_{s}^{2} $) | PRD 74 (2006) 114017 | hep-ph/0609070 |
| 29 | 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 |
| 30 | CMS Collaboration | Measurement of differential cross sections for Z boson production in association with jets in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | EPJC 78 (2018) | CMS-SMP-16-015 1804.05252 |
| 31 | CMS | Event generator tunes obtained from underlying event and multiparton scattering measurements | EPJC 76 (2016) | 1512.00815 |
| 32 | CMS Collaboration | Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements | Eur. Phys. J. C 80, 2020 link |
CMS-GEN-17-001 1903.12179 |
| 33 | NNPDF Collaboration | Parton distributions with QED corrections | NPB 877 (2013) 290 | 1308.0598 |
| 34 | NNPDF Collaboration | Parton distributions for the LHC Run II | JHEP 04 (2015) 040 | 1410.8849 |
| 35 | NNPDF Collaboration | Parton distributions from high-precision collider data | EPJC 77 (2017) 663 | 1706.00428 |
| 36 | GEANT4 Collaboration | GEANT 4---a simulation toolkit | NIM A 506 (2003) 250 | |
| 37 | CMS Collaboration | Particle-flow reconstruction and global event description with the CMS detector | JINST 12 (2017) P10003 | CMS-PRF-14-001 1706.04965 |
| 38 | CMS Collaboration | Technical Proposal for the Phase-II Upgrade of the CMS Detector | technical report, CERN, Geneva, 2015 link |
|
| 39 | M. Cacciari, G. P. Salam, and G. Soyez | The anti-$ k_{\mathrm{T}} $ jet clustering algorithm | JHEP 04 (2008) 063 | 0802.1189 |
| 40 | M. Cacciari, G. P. Salam, and G. Soyez | FastJet user manual | Eur. Phys. J. C 72 , no.~3, 2012 link |
1111.6097 |
| 41 | CMS Collaboration | Jet energy scale and resolution measurement with Run 2 Legacy Data Collected by CMS at 13 TeV | CMS Detector Performance Note CERN-CMS-DP-2021-033, CERN, 2021 CDS |
|
| 42 | 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 |
| 43 | CMS Collaboration | Pileup mitigation at CMS in 13 TeV data | JINST 15 (2020) P09018 | CMS-JME-18-001 2003.00503 |
| 44 | CMS Collaboration | Performance of the DeepJet b tagging algorithm using 41.9/fb of data from proton-proton collisions at 13 TeV with Phase 1 CMS detector | CMS Detector Performance Note CMS-DP-2018-058, CERN, 2018 CDS |
|
| 45 | E. Bols et al. | Jet flavour classification using DeepJet | JINST 15 (2020) P12012 | 2008.10519 |
| 46 | D. Bertolini, P. Harris, M. Low, and N. Tran | Pileup per particle identification | JHEP 10 (2014) 059 | 1407.6013 |
| 47 | 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 |
| 48 | M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam | Towards an understanding of jet substructure | JHEP 09 (2013) 029 | 1307.0007 |
| 49 | J. M. Butterworth, A. R. Davison, M. Rubin, and G. P. Salam | Jet substructure as a new Higgs search channel at the LHC | PRL 100 (2008) 242001 | 0802.2470 |
| 50 | J. Thaler and K. Van Tilburg | Identifying boosted objects with N-subjettiness | JHEP 03 (2011) 015 | 1011.2268 |
| 51 | CMS Collaboration | Performance of electron reconstruction and selection with the CMS detector in pp collisions at $ \sqrt{s} = $ 8 TeV | JINST 10 (2015) | CMS-EGM-13-001 1502.02701 |
| 52 | 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 |
| 53 | A. Hoecker et al. | TMVA - toolkit for multivariate data analysis | PoS ACAT 04 (2007) 0 | physics/0703039 |
| 54 | CMS Collaboration | Performance of CMS muon reconstruction in pp collision events at $ \sqrt{s} = $ 7 TeV | JINST 7 (2012) P10002 | CMS-MUO-10-004 1206.4071 |
| 55 | 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 |
| 56 | M. Cacciari, G. P. Salam, and G. Soyez | The catchment area of jets | JHEP 04 (2008) 005 | 0802.1188 |
| 57 | M. Cacciari and G. P. Salam | Pileup subtraction using jet areas | PLB 659 (2008) 119 | 0707.1378 |
| 58 | CMS Collaboration | Measurement of the Higgs boson production rate in association with top quarks in final states with electrons, muons, and hadronically decaying tau leptons at $ \sqrt{s}= $ 13 TeV | EPJC 81 (2021) 378 | CMS-HIG-19-008 2011.03652 |
| 59 | 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 |
| 60 | Particle Data Group Collaboration | Review of Particle Physics | PTEP 2022 (2022) 083C01 | |
| 61 | CMS Collaboration | Search for nonresonant Higgs boson pair production in final states with two bottom quarks and two tau leptons in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | submitted to Phys. Lett. B., 2022 | CMS-HIG-20-010 2206.09401 |
| 62 | 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, CERN, 2011 | |
| 63 | M. Erdmann, E. Geiser, Y. Rath, and M. Rieger | Lorentz boost networks: autonomous physics-inspired feature engineering | JINST 14 (2019) P06006 | 1812.09722 |
| 64 | T. Huang et al. | Resonant di-Higgs boson production in the $ b\bar{b}WW $ channel: Probing the electroweak phase transition at the LHC | PRD 96 (2017) 035007 | 1701.04442 |
| 65 | J. Baglio et al. | $ gg\to HH $: Combined uncertainties | PRD 103 (2021) 056002 | 2008.11626 |
| 66 | L.-S. Ling et al. | NNLO QCD corrections to Higgs pair production via vector boson fusion at hadron colliders | PRD 89 (2014) 073001 | 1401.7754 |
| 67 | F. A. Dreyer and A. Karlberg | Fully differential Vector-Boson Fusion Higgs Pair Production at Next-to-Next-to-Leading Order | PRD 99 (2019) 074028 | 1811.07918 |
| 68 | D. de Florian, I. Fabre, and J. Mazzitelli | Higgs boson pair production at NNLO in QCD including dimension 6 operators | JHEP 10 (2017) 215 | 1704.05700 |
| 69 | G. Cowan, K. Cranmer, E. Gross, and O. Vitells | Asymptotic formulae for likelihood-based tests of new physics | EPJC 71 (2011) 1554 | 1007.1727 |
| 70 | A. L. Read | Presentation of search results: the CL$ _s $ technique | JPG 28 (2002) 2693 | |
| 71 | T. Junk | Confidence level computation for combining searches with small statistics | NIM A 434 (1999) 435 | hep-ex/9902006 |
| 72 | CMS Collaboration | Search for nonresonant Higgs boson pair production in final states with two bottom quarks and two photons in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JHEP 03 (2021) 257 | CMS-HIG-19-018 2011.12373 |
| 73 | A. Carvalho et al. | Higgs pair production: choosing benchmarks with cluster analysis | JHEP 04 (2016) 1 | 1507.02245 |
| 74 | M. Capozi and G. Heinrich | Exploring anomalous couplings in Higgs boson pair production through shape analysis | JHEP 91 (2020) | 1908.08923 |
| 75 | A. Carvalho | Gravity particles from Warped Extra Dimensions, predictions for LHC | 1404.0102 | |
| 76 | M. Gouzevitch et al. | Scale-invariant resonance tagging in multijet events and new physics in Higgs pair production | JHEP 07 (2013) 148 | 1303.6636 |
| 77 | CMS Collaboration | Search for resonant and non-resonant Higgs boson pair production in the $ \mathrm{b} \bar{\mathrm{b}} l\nu l\nu $ final state in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | JHEP 01 (2018) 054 | CMS-HIG-17-006 1708.04188 |
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