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CMS-PAS-SMP-21-001
First observation of the electroweak production of a leptonically decaying W$^{+}$W$^{-}$ pair in association with two jets in $\sqrt{s} = $ 13 TeV pp collisions.
Abstract: The first observation of the electroweak production of a W$^{+}$W$^{-}$ pair in association with two jets, with both W bosons decaying leptonically, is reported. The data sample corresponds to 138 fb$^{-1}$ of proton-proton collisions at 13 TeV. Events are selected by requiring two leptons (electrons or muons) and two jets with large pseudorapidity separation and high invariant mass. Events are categorized based on the flavour of final state leptons. A signal is observed with a significance of 5.6 standard deviations and the measured fiducial cross section is 10.2 $\pm$ 2.0 fb. The fiducial volume is required to have two oppositely-charged leptons in the $ | \eta | < $ 2.5 region with $p_{\mathrm{T}} > $ 25 GeV and $p_{\mathrm{T}} > $ 13 GeV respectively, having an invariant mass greater than 50 GeV; additionaly, at least two jets in the $ | \eta | < $ 4.7 region with a cone size $\Delta R = $ 0.4 and $p_{\mathrm{T}} > $ 30 GeV are selected, having a pseudorapidity gap larger than 2.5 and an invariant mass greater than 300 GeV.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Examples of Feynman diagrams for the EW (left, middle) and QCD (right) production of W$^{+}$W$^{-}$.

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Figure 1-a:
Examples of Feynman diagrams for the EW (left, middle) and QCD (right) production of W$^{+}$W$^{-}$.

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Figure 1-b:
Examples of Feynman diagrams for the EW (left, middle) and QCD (right) production of W$^{+}$W$^{-}$.

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Figure 1-c:
Examples of Feynman diagrams for the EW (left, middle) and QCD (right) production of W$^{+}$W$^{-}$.

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Figure 2:
Post-fit DNN output distributions in the e$\mu $ signal region for $ {Z_{\ell \ell}} < $ 1 (left) and $ {Z_{\ell \ell}} \geq $ 1 (right).

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Figure 2-a:
Post-fit DNN output distributions in the e$\mu $ signal region for $ {Z_{\ell \ell}} < $ 1 (left) and $ {Z_{\ell \ell}} \geq $ 1 (right).

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Figure 2-b:
Post-fit DNN output distributions in the e$\mu $ signal region for $ {Z_{\ell \ell}} < $ 1 (left) and $ {Z_{\ell \ell}} \geq $ 1 (right).

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Figure 3:
Post-fit ${m_{\mathrm {jj}}}$ distribution for the signal regions in same-flavour categories (ee and $\mu \mu $ combined) for $ {Z_{\ell \ell}} < $ 1 (left) and $ {Z_{\ell \ell}} \geq $ 1 (right). For each plot, the first bin contains the number of events in the 300 $ < {m_{\mathrm {jj}}} [ GeV ] < $ 500 and 2.5 $ < {\Delta \eta _{\mathrm {jj}}} < $ 3.5 category, the second bin those in the 300 $ < {m_{\mathrm {jj}}} [ GeV ] < $ 500 and $ {\Delta \eta _{\mathrm {jj}}} > $ 3.5 category, and the third bin those in the $ {m_{\mathrm {jj}}} > $ 500 GeV and 2.5 $ < {\Delta \eta _{\mathrm {jj}}} < $ 3.5 category. The last five bins represent the ${m_{\mathrm {jj}}}$ distribution in the $ {m_{\mathrm {jj}}} > $ 500 GeV and $ {\Delta \eta _{\mathrm {jj}}} > $ 3.5 category normalized to the width of the bins.

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Figure 3-a:
Post-fit ${m_{\mathrm {jj}}}$ distribution for the signal regions in same-flavour categories (ee and $\mu \mu $ combined) for $ {Z_{\ell \ell}} < $ 1 (left) and $ {Z_{\ell \ell}} \geq $ 1 (right). For each plot, the first bin contains the number of events in the 300 $ < {m_{\mathrm {jj}}} [ GeV ] < $ 500 and 2.5 $ < {\Delta \eta _{\mathrm {jj}}} < $ 3.5 category, the second bin those in the 300 $ < {m_{\mathrm {jj}}} [ GeV ] < $ 500 and $ {\Delta \eta _{\mathrm {jj}}} > $ 3.5 category, and the third bin those in the $ {m_{\mathrm {jj}}} > $ 500 GeV and 2.5 $ < {\Delta \eta _{\mathrm {jj}}} < $ 3.5 category. The last five bins represent the ${m_{\mathrm {jj}}}$ distribution in the $ {m_{\mathrm {jj}}} > $ 500 GeV and $ {\Delta \eta _{\mathrm {jj}}} > $ 3.5 category normalized to the width of the bins.

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Figure 3-b:
Post-fit ${m_{\mathrm {jj}}}$ distribution for the signal regions in same-flavour categories (ee and $\mu \mu $ combined) for $ {Z_{\ell \ell}} < $ 1 (left) and $ {Z_{\ell \ell}} \geq $ 1 (right). For each plot, the first bin contains the number of events in the 300 $ < {m_{\mathrm {jj}}} [ GeV ] < $ 500 and 2.5 $ < {\Delta \eta _{\mathrm {jj}}} < $ 3.5 category, the second bin those in the 300 $ < {m_{\mathrm {jj}}} [ GeV ] < $ 500 and $ {\Delta \eta _{\mathrm {jj}}} > $ 3.5 category, and the third bin those in the $ {m_{\mathrm {jj}}} > $ 500 GeV and 2.5 $ < {\Delta \eta _{\mathrm {jj}}} < $ 3.5 category. The last five bins represent the ${m_{\mathrm {jj}}}$ distribution in the $ {m_{\mathrm {jj}}} > $ 500 GeV and $ {\Delta \eta _{\mathrm {jj}}} > $ 3.5 category normalized to the width of the bins.

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Figure 4:
Post-fit number of events in the control regions for different-flavour (left) and same-flavour (right, with ee and $\mu \mu $ combined) categories. In the left-hand plot, the first bin contains the number of events in the ${\mathrm{t} {}\mathrm{\bar{t}}}$ + $\mathrm{t} \mathrm{W} $ different-flavour control region and the second bin those in the DY $\tau \tau $ control region. In the right-hand plot, the first bin contains the number of events in the ${\mathrm{t} {}\mathrm{\bar{t}}}$ + $\mathrm{t} \mathrm{W} $ same-flavour control region, the second bin those in the $ {\Delta \eta _{\mathrm {jj}}} < $ 5 DY control region, and the third bin those in the $ {\Delta \eta _{\mathrm {jj}}} > $ 5 DY control region.

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Figure 4-a:
Post-fit number of events in the control regions for different-flavour (left) and same-flavour (right, with ee and $\mu \mu $ combined) categories. In the left-hand plot, the first bin contains the number of events in the ${\mathrm{t} {}\mathrm{\bar{t}}}$ + $\mathrm{t} \mathrm{W} $ different-flavour control region and the second bin those in the DY $\tau \tau $ control region. In the right-hand plot, the first bin contains the number of events in the ${\mathrm{t} {}\mathrm{\bar{t}}}$ + $\mathrm{t} \mathrm{W} $ same-flavour control region, the second bin those in the $ {\Delta \eta _{\mathrm {jj}}} < $ 5 DY control region, and the third bin those in the $ {\Delta \eta _{\mathrm {jj}}} > $ 5 DY control region.

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Figure 4-b:
Post-fit number of events in the control regions for different-flavour (left) and same-flavour (right, with ee and $\mu \mu $ combined) categories. In the left-hand plot, the first bin contains the number of events in the ${\mathrm{t} {}\mathrm{\bar{t}}}$ + $\mathrm{t} \mathrm{W} $ different-flavour control region and the second bin those in the DY $\tau \tau $ control region. In the right-hand plot, the first bin contains the number of events in the ${\mathrm{t} {}\mathrm{\bar{t}}}$ + $\mathrm{t} \mathrm{W} $ same-flavour control region, the second bin those in the $ {\Delta \eta _{\mathrm {jj}}} < $ 5 DY control region, and the third bin those in the $ {\Delta \eta _{\mathrm {jj}}} > $ 5 DY control region.
Tables

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Table 1:
Set of variables used as inputs to the DNN for both ${Z_{\ell \ell}} < $ 1 and ${Z_{\ell \ell}} \geq $ 1 models. The order of the table does not correspond to variable importance.

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Table 2:
Sources of systematic uncertainty affecting the signal yield by more than 1%. The total uncertainty is also reported, as well as the total systematic and statistical contributions.

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Table 3:
Definition of the fiducial volume close to the reconstructed signal region.
Summary
The first observation of the electroweak production of a pair of opposite-sign W bosons in association with two jets is reported. Selected events contain two opposite sign leptons (electrons or muons), missing transverse energy and two jets with high invariant mass and large separation in pseudorapidity. A data set corresponding to an integrated luminosity of 138 fb$^{-1}$ has been analyzed, collected by the CMS detector at the LHC during proton-proton collisions at a center-of-mass energy of 13 TeV. Machine learning techniques have been employed to deal with the irreducible background from the QCD-induced production of W bosons and the dominant background from the production of top quark pairs.

The electroweak W$^{+}$W$^{-}$ production cross section has been measured in two fiducial volumes; in the more inclusive one the cross section is 99 $\pm$ 20 fb (89 $\pm$ 5 fb expected), whereas in the one closer to the reconstructed signal region, the measured cross section is 10.2 $\pm$ 2.0 fb (9.1 $\pm$ 0.6 fb expected). The measured signal corresponds to an observed (expected) significance of 5.6 (5.2) standard deviations with respect to the only-background hypothesis.
References
1 A. Ballestrero et al. Vector boson scattering: Recent experimental and theory developments Rev. Phys. 3 (2018) 44 1801.04203
2 CMS Collaboration Observation of electroweak production of same-sign W boson pairs in the two jet and two same-sign lepton final state in proton-proton collisions at $ \sqrt{s} = $ ~13~TeV PRL 120 (2018) 081801 CMS-SMP-17-004
1709.05822
3 CMS Collaboration Measurements of production cross sections of WZ and same-sign WW boson pairs in association with two jets in proton-proton collisions at $ \sqrt{s} = $ 13 TeV Physics Letters B 809 (2020) 135710 CMS-SMP-19-012
2005.01173
4 CMS Collaboration The CMS experiment at the CERN LHC Journal of Instrumentation 3 (2008) S08004
5 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
6 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV CMS-PAS-LUM-17-004 CMS-PAS-LUM-17-004
7 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV CMS-PAS-LUM-18-002 CMS-PAS-LUM-18-002
8 CMS Collaboration Measurements of properties of the Higgs boson decaying to a W boson pair in pp collisions at $ \sqrt{s}= $ 13~TeV PLB 791 (2019) 96 CMS-HIG-16-042
1806.05246
9 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
10 T. Sjostrand et al. An Introduction to PYTHIA 8.2 CPC 191 (2015) 159 1410.3012
11 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
12 E. Re, M. Wiesemann, and G. Zanderighi NNLOPS accurate predictions for $ W^+W^- $ production Journal of High Energy Physics 2018 (2018) 1805.09857
13 K. Hamilton, P. Nason, and G. Zanderighi Finite quark-mass effects in the NNLOPS POWHEG+MiNLO Higgs generator JHEP 05 (2015) 140 1501.04637
14 J. M. Campbell and R. K. Ellis An update on vector boson pair production at hadron colliders PRD 60 (1999) 113006 hep-ph/9905386
15 J. M. Campbell, R. K. Ellis, and C. Williams Vector boson pair production at the LHC Journal of High Energy Physics 2011 (2011) 1105.0020
16 J. M. Campbell, R. K. Ellis, and W. T. Giele A Multi-Threaded Version of MCFM EPJC 75 (2015) 246 1503.06182
17 NNPDF Collaboration Parton distributions with QED corrections NPB 877 (2013) 290 1308.0598
18 NNPDF Collaboration Unbiased global determination of parton distributions and their uncertainties at NNLO and at LO NPB 855 (2012) 153 1107.2652
19 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
20 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016) 155 CMS-GEN-14-001
1512.00815
21 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
22 CMS Collaboration Electron and photon reconstruction and identification with the cms experiment at the cern lhc Journal of Instrumentation 16 (2021) P05014 2012.06888v2
23 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
24 E. Bols et al. Jet flavour classification using DeepJet Journal of Instrumentation 15 (2020) P12012 2008.10519v2
25 D. P. Kingma and J. Ba Adam: a method for stochastic optimization technical report 1412.6980
26 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
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