CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-B2G-16-020
Search for new resonances decaying to $\mathrm{WW}/\mathrm{WZ} \to \ell\nu \mathrm{qq}$
Abstract: A search for massive narrow resonances decaying to pairs of W and Z bosons in the $\ell\nu\mathrm{qq}$ final state is presented, based on 12.9 fb$^{-1}$ of pp collision data collected in 2016 by the CMS experiment at the CERN LHC with a center-of-mass energy of 13 TeV. Spin-1 and spin-2 resonances corresponding to masses in the range 600-4500 GeV and decaying to WW/WZ are probed using the $\ell\nu\mathrm{qq}$ final state. Cross section and resonance mass exclusion limits are set for models that predict gravitons and heavy spin-1 bosons.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1-a:
Pruned jet mass and $N$-subjettiness ratio $\tau _{21}$ distributions in the ${m_{\text {jet}}}$ signal region and sideband. The signal distributions are scaled to an arbitrary cross section for better visualisation. The W+jets background from simulation is rescaled such that the total number of background events matches the number of events in data. The grey band represents the statistical uncertainty. a,b: muon channel; c,d: electron channel.

png pdf
Figure 1-b:
Pruned jet mass and $N$-subjettiness ratio $\tau _{21}$ distributions in the ${m_{\text {jet}}}$ signal region and sideband. The signal distributions are scaled to an arbitrary cross section for better visualisation. The W+jets background from simulation is rescaled such that the total number of background events matches the number of events in data. The grey band represents the statistical uncertainty. a,b: muon channel; c,d: electron channel.

png pdf
Figure 1-c:
Pruned jet mass and $N$-subjettiness ratio $\tau _{21}$ distributions in the ${m_{\text {jet}}}$ signal region and sideband. The signal distributions are scaled to an arbitrary cross section for better visualisation. The W+jets background from simulation is rescaled such that the total number of background events matches the number of events in data. The grey band represents the statistical uncertainty. a,b: muon channel; c,d: electron channel.

png pdf
Figure 1-d:
Pruned jet mass and $N$-subjettiness ratio $\tau _{21}$ distributions in the ${m_{\text {jet}}}$ signal region and sideband. The signal distributions are scaled to an arbitrary cross section for better visualisation. The W+jets background from simulation is rescaled such that the total number of background events matches the number of events in data. The grey band represents the statistical uncertainty. a,b: muon channel; c,d: electron channel.

png pdf
Figure 2-a:
Distributions of the pruned jet mass ${m_{\text {jet}}}$ in the muon (a,c) and electron (b,d) channels, for low mass (a,b) and high mass (c,d) region. The uncertainty band represents the statistical uncertainty on the background prediction. All selections are applied except the final ${m_{\text {jet}}}$ signal window requirement. Data are shown as black markers. The contribution of the W+jets background is extrapolated from the sideband to the signal region 65-95 GeV, which is represented with a grey shaded area and marked with a label. The grey shaded area between 95-135 GeV is not used in the analysis in order to avoid bias in future searches for WH, ZH and HH resonances.

png pdf
Figure 2-b:
Distributions of the pruned jet mass ${m_{\text {jet}}}$ in the muon (a,c) and electron (b,d) channels, for low mass (a,b) and high mass (c,d) region. The uncertainty band represents the statistical uncertainty on the background prediction. All selections are applied except the final ${m_{\text {jet}}}$ signal window requirement. Data are shown as black markers. The contribution of the W+jets background is extrapolated from the sideband to the signal region 65-95 GeV, which is represented with a grey shaded area and marked with a label. The grey shaded area between 95-135 GeV is not used in the analysis in order to avoid bias in future searches for WH, ZH and HH resonances.

png pdf
Figure 2-c:
Distributions of the pruned jet mass ${m_{\text {jet}}}$ in the muon (a,c) and electron (b,d) channels, for low mass (a,b) and high mass (c,d) region. The uncertainty band represents the statistical uncertainty on the background prediction. All selections are applied except the final ${m_{\text {jet}}}$ signal window requirement. Data are shown as black markers. The contribution of the W+jets background is extrapolated from the sideband to the signal region 65-95 GeV, which is represented with a grey shaded area and marked with a label. The grey shaded area between 95-135 GeV is not used in the analysis in order to avoid bias in future searches for WH, ZH and HH resonances.

png pdf
Figure 2-d:
Distributions of the pruned jet mass ${m_{\text {jet}}}$ in the muon (a,c) and electron (b,d) channels, for low mass (a,b) and high mass (c,d) region. The uncertainty band represents the statistical uncertainty on the background prediction. All selections are applied except the final ${m_{\text {jet}}}$ signal window requirement. Data are shown as black markers. The contribution of the W+jets background is extrapolated from the sideband to the signal region 65-95 GeV, which is represented with a grey shaded area and marked with a label. The grey shaded area between 95-135 GeV is not used in the analysis in order to avoid bias in future searches for WH, ZH and HH resonances.

png pdf
Figure 3-a:
Final observed $ {m_{ {\mathrm {W}} {\mathrm {W}} }} $ distributions for the WW analyses in the signal region. (a,c) and (b,d) plots show muon and electron channels. (a,b) and (c,d) plots show low and high mass. The solid curve represents the background estimation provided by the data-driven method as discussed in Sec. 6.1. The hatched band includes both statistical and systematic (of normalization and of shape) uncertainties. The data are shown as black markers. The bottom panels show the corresponding pull distributions, quantifying the agreement between the background-only hypothesis and the data. The pull distribution is defined as the difference between the data and the background prediction, divided by the error on data. The error bars on the points represent the statistical uncertainty of the data, while the uncertainty band (statistics+systematics) on the background prediction is shown with a yellow band.

png pdf
Figure 3-b:
Final observed $ {m_{ {\mathrm {W}} {\mathrm {W}} }} $ distributions for the WW analyses in the signal region. (a,c) and (b,d) plots show muon and electron channels. (a,b) and (c,d) plots show low and high mass. The solid curve represents the background estimation provided by the data-driven method as discussed in Sec. 6.1. The hatched band includes both statistical and systematic (of normalization and of shape) uncertainties. The data are shown as black markers. The bottom panels show the corresponding pull distributions, quantifying the agreement between the background-only hypothesis and the data. The pull distribution is defined as the difference between the data and the background prediction, divided by the error on data. The error bars on the points represent the statistical uncertainty of the data, while the uncertainty band (statistics+systematics) on the background prediction is shown with a yellow band.

png pdf
Figure 3-c:
Final observed $ {m_{ {\mathrm {W}} {\mathrm {W}} }} $ distributions for the WW analyses in the signal region. (a,c) and (b,d) plots show muon and electron channels. (a,b) and (c,d) plots show low and high mass. The solid curve represents the background estimation provided by the data-driven method as discussed in Sec. 6.1. The hatched band includes both statistical and systematic (of normalization and of shape) uncertainties. The data are shown as black markers. The bottom panels show the corresponding pull distributions, quantifying the agreement between the background-only hypothesis and the data. The pull distribution is defined as the difference between the data and the background prediction, divided by the error on data. The error bars on the points represent the statistical uncertainty of the data, while the uncertainty band (statistics+systematics) on the background prediction is shown with a yellow band.

png pdf
Figure 3-d:
Final observed $ {m_{ {\mathrm {W}} {\mathrm {W}} }} $ distributions for the WW analyses in the signal region. (a,c) and (b,d) plots show muon and electron channels. (a,b) and (c,d) plots show low and high mass. The solid curve represents the background estimation provided by the data-driven method as discussed in Sec. 6.1. The hatched band includes both statistical and systematic (of normalization and of shape) uncertainties. The data are shown as black markers. The bottom panels show the corresponding pull distributions, quantifying the agreement between the background-only hypothesis and the data. The pull distribution is defined as the difference between the data and the background prediction, divided by the error on data. The error bars on the points represent the statistical uncertainty of the data, while the uncertainty band (statistics+systematics) on the background prediction is shown with a yellow band.

png pdf
Figure 4-a:
Final observed $ {m_{ {\mathrm {W}} {\mathrm {Z}} }} $ distributions for the WZ analyses in the signal region. (a,c) and (b,d) plots show muon and electron channels. (a,b) and (c,d) plots show low and high mass. The solid curve represents the background estimation provided by the data-driven method as discussed in Sec. 6.1. The hatched band includes both statistical and systematic (of normalization and of shape) uncertainties. The data are shown as black markers. The bottom panels show the corresponding pull distributions, quantifying the agreement between the background-only hypothesis and the data. The pull distribution is defined as the difference between the data and the background prediction, divided by the error on data. The error bars on the points represent the statistical uncertainty of the data, while the uncertainty band (statistics+systematics) on the background prediction is shown with a yellow band.

png pdf
Figure 4-b:
Final observed $ {m_{ {\mathrm {W}} {\mathrm {Z}} }} $ distributions for the WZ analyses in the signal region. (a,c) and (b,d) plots show muon and electron channels. (a,b) and (c,d) plots show low and high mass. The solid curve represents the background estimation provided by the data-driven method as discussed in Sec. 6.1. The hatched band includes both statistical and systematic (of normalization and of shape) uncertainties. The data are shown as black markers. The bottom panels show the corresponding pull distributions, quantifying the agreement between the background-only hypothesis and the data. The pull distribution is defined as the difference between the data and the background prediction, divided by the error on data. The error bars on the points represent the statistical uncertainty of the data, while the uncertainty band (statistics+systematics) on the background prediction is shown with a yellow band.

png pdf
Figure 4-c:
Final observed $ {m_{ {\mathrm {W}} {\mathrm {Z}} }} $ distributions for the WZ analyses in the signal region. (a,c) and (b,d) plots show muon and electron channels. (a,b) and (c,d) plots show low and high mass. The solid curve represents the background estimation provided by the data-driven method as discussed in Sec. 6.1. The hatched band includes both statistical and systematic (of normalization and of shape) uncertainties. The data are shown as black markers. The bottom panels show the corresponding pull distributions, quantifying the agreement between the background-only hypothesis and the data. The pull distribution is defined as the difference between the data and the background prediction, divided by the error on data. The error bars on the points represent the statistical uncertainty of the data, while the uncertainty band (statistics+systematics) on the background prediction is shown with a yellow band.

png pdf
Figure 4-d:
Final observed $ {m_{ {\mathrm {W}} {\mathrm {Z}} }} $ distributions for the WZ analyses in the signal region. (a,c) and (b,d) plots show muon and electron channels. (a,b) and (c,d) plots show low and high mass. The solid curve represents the background estimation provided by the data-driven method as discussed in Sec. 6.1. The hatched band includes both statistical and systematic (of normalization and of shape) uncertainties. The data are shown as black markers. The bottom panels show the corresponding pull distributions, quantifying the agreement between the background-only hypothesis and the data. The pull distribution is defined as the difference between the data and the background prediction, divided by the error on data. The error bars on the points represent the statistical uncertainty of the data, while the uncertainty band (statistics+systematics) on the background prediction is shown with a yellow band.

png pdf
Figure 5:
$m_{\mathrm {WW}}$ distribution for different signal mass points. The area of each shape is proportional to the total signal efficiency of the corresponding mass point.

png pdf
Figure 6-a:
Observed (black solid) and expected (black dashed) 95% CL upper limits on the product of the graviton production cross section and the branching fraction of $ { {\mathrm {G}} _{\mathrm {bulk}}}\to {\mathrm {W}} {\mathrm {W}}$ in the muon (a) and electron (b) channel. The theoretical cross section multiplied by the relevant branching ratio is shown as a red solid line. The dashed vertical line delineates the transition between the low and high mass searches.

png pdf
Figure 6-b:
Observed (black solid) and expected (black dashed) 95% CL upper limits on the product of the graviton production cross section and the branching fraction of $ { {\mathrm {G}} _{\mathrm {bulk}}}\to {\mathrm {W}} {\mathrm {W}}$ in the muon (a) and electron (b) channel. The theoretical cross section multiplied by the relevant branching ratio is shown as a red solid line. The dashed vertical line delineates the transition between the low and high mass searches.

png pdf
Figure 7:
Observed (black solid) and expected (black dashed) 95% CL upper limits on the product of the graviton production cross section and the branching fraction of $ { {\mathrm {G}} _{\mathrm {bulk}}}\to {\mathrm {W}} {\mathrm {W}}$ for the statistical combination of electron and muon channels. The theoretical cross section multiplied by the relevant branching ratio is shown as a red solid line. The dashed vertical line delineates the transition between the low and high mass searches.

png pdf
Figure 8-a:
Observed (black solid) and expected (black dashed) 95% CL upper limits on the product of the W' production cross section and the branching fraction of $\mathrm{ W' } \to {\mathrm {W}} {\mathrm {Z}} $ in the muon (a) and electron (b) channel. The theoretical cross section multiplied by the relevant branching ratio is shown as a red solid line. The dashed vertical line delineates the transition between the low and high mass searches.

png pdf
Figure 8-b:
Observed (black solid) and expected (black dashed) 95% CL upper limits on the product of the W' production cross section and the branching fraction of $\mathrm{ W' } \to {\mathrm {W}} {\mathrm {Z}} $ in the muon (a) and electron (b) channel. The theoretical cross section multiplied by the relevant branching ratio is shown as a red solid line. The dashed vertical line delineates the transition between the low and high mass searches.

png pdf
Figure 9:
Observed (black solid) and expected (black dashed) 95% CL upper limits on the product of the W' production cross section and the branching fraction of $\mathrm{ W' } \to {\mathrm {W}} {\mathrm {Z}} $ for the statistical combination of electron and muon channels. The theoretical cross section multiplied by the relevant branching ratio is shown as a red solid line. The dashed vertical line delineates the transition between the low and high mass searches.
Tables

png pdf
Table 1:
Summary of the systematic uncertainties and their impact on the signal yield and reconstructed ${m_{ {\mathrm {W}} {\mathrm {V}} }} $ shape (mean and width) for both muon and electron channels. Ranges are denoted in square brackets.

png pdf
Table 2:
Systematic uncertainties affecting the background normalization. Ranges are denoted in square brackets.
Summary
We have presented a search for new resonances decaying to WW and WZ in which one of the bosons decays hadronically. The final state considered is $\ell \nu {\mathrm{ q q' }} $ with $\ell=\mu$ or e. The results include the case in which $\mathrm{ W } \to \tau\nu$ where $\tau$ decays leptonically. W or Z bosons that decay to quarks are identified by requiring a jet with mass compatible with the W or Z boson mass. Additional information from jet substructure is used to reduce the background from W+jets and multijet processes. No evidence for a signal is found, and upper limits at 95% CL are set for resonance masses between 600 and 4500 GeV on the bulk graviton $\rightarrow \mathrm{ WW } $ and HVT $ \mathrm{ W' } \rightarrow \mathrm{ W }\mathrm{ Z } $ production cross section, in the range of 400 to 4 fb and 1000 to 3 fb, respectively. These cross section limits are the most stringent to date in these final states.
References
1 K. Agashe, H. Davoudiasl, G. Perez, and A. Soni Warped Gravitons at the LHC and Beyond PRD 76 (2007) 036006 hep-ph/0701186
2 A. L. Fitzpatrick, J. Kaplan, L. Randall, and L.-T. Wang Searching for the Kaluza-Klein Graviton in Bulk RS Models JHEP 09 (2007) 013 hep-ph/0701150
3 O. Antipin, D. Atwood, and A. Soni Search for RS gravitons via W(L)W(L) decays PLB 666 (2008) 155--161 0711.3175
4 L. Randall and R. Sundrum A Large mass hierarchy from a small extra dimension PRL 83 (1999) 3370--3373 hep-ph/9905221
5 L. Randall and R. Sundrum An Alternative to compactification PRL 83 (1999) 4690--4693 hep-th/9906064
6 D. Pappadopulo, A. Thamm, R. Torre, and A. Wulzer Heavy Vector Triplets: Bridging Theory and Data JHEP 09 (2014) 060 1402.4431
7 ATLAS Collaboration Searches for heavy diboson resonances in $ pp $ collisions at $ \sqrt{s}=13 $ TeV with the ATLAS detector 1606.04833
8 CMS Collaboration Search for WW in semileptonic final states: low mass extension CMS-PAS-B2G-16-004 CMS-PAS-B2G-16-004
9 CMS Collaboration Combination of diboson resonance searches at 8 and 13 TeV CMS-PAS-B2G-16-007 CMS-PAS-B2G-16-007
10 CMS Collaboration Particle-Flow Event Reconstruction in CMS and Performance for Jets, Taus, and MET CDS
11 CMS Collaboration Commissioning of the Particle-flow Event Reconstruction with the first LHC collisions recorded in the CMS detector CDS
12 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
13 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
14 P. Nason A New method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
15 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with Parton Shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
16 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
17 S. Alioli, P. Nason, C. Oleari, and E. Re NLO single-top production matched with shower in POWHEG: s- and t-channel contributions JHEP 09 (2009) 111, , [Erratum: JHEP02,011(2010)] 0907.4076
18 E. Re Single-top Wt-channel production matched with parton showers using the POWHEG method EPJC 71 (2011) 1547 1009.2450
19 S. Alioli, S.-O. Moch, and P. Uwer Hadronic top-quark pair-production with one jet and parton showering JHEP 01 (2012) 137 1110.5251
20 T. Sjostrand, S. Mrenna, and P. Z. Skands PYTHIA 6.4 Physics and Manual JHEP 05 (2006) 026 hep-ph/0603175
21 T. Sjostrand, S. Mrenna, and P. Z. Skands A Brief Introduction to PYTHIA 8.1 CPC 178 (2008) 852--867 0710.3820
22 P. Skands, S. Carrazza, and J. Rojo Tuning PYTHIA 8.1: the Monash 2013 Tune EPJC 74 (2014), no. 8 1404.5630
23 CMS Collaboration Underlying Event Tunes and Double Parton Scattering CDS
24 R. D. Ball et al. Impact of Heavy Quark Masses on Parton Distributions and LHC Phenomenology Nucl. Phys. B 849 (2011) 296--363 1101.1300
25 GEANT4 Collaboration GEANT4: A Simulation toolkit NIMA 506 (2003) 250--303
26 J. M. Campbell, R. K. Ellis, and D. L. Rainwater Next-to-leading order QCD predictions for $ W $ + 2 jet and $ Z $ + 2 jet production at the CERN LHC PRD 68 (2003) 094021 hep-ph/0308195
27 J. M. Campbell, R. K. Ellis, and C. Williams Vector boson pair production at the LHC JHEP 07 (2011) 018 1105.0020
28 J. M. Campbell and R. K. Ellis Top-quark processes at NLO in production and decay JPG 42 (2015), no. 1, 015005 1204.1513
29 J. M. Campbell, R. K. Ellis, and F. Tramontano Single top production and decay at next-to-leading order PRD 70 (2004) 094012 hep-ph/0408158
30 Y. Li and F. Petriello Combining QCD and electroweak corrections to dilepton production in FEWZ PRD 86 (2012) 094034 1208.5967
31 M. Czakon and A. Mitov Top++: A Program for the Calculation of the Top-Pair Cross-Section at Hadron Colliders CPC 185 (2014) 2930 1112.5675
32 CMS Collaboration Tracking and Primary Vertex Results in First 7 TeV Collisions CDS
33 M. Cacciari, G. P. Salam, and G. Soyez FastJet User Manual EPJC 72 (2012) 1896 1111.6097
34 M. Wobisch and T. Wengler Hadronization corrections to jet cross-sections in deep inelastic scattering in Monte Carlo generators for HERA physics. Proceedings, Workshop, Hamburg, Germany, 1998-1999 1998 hep-ph/9907280
35 M. Cacciari, G. P. Salam, and G. Soyez The Anti-k(t) jet clustering algorithm JHEP 04 (2008) 063 0802.1189
36 CMS Collaboration Identification of b quark jets at the CMS Experiment in the LHC Run 2 CMS-PAS-BTV-15-001 CMS-PAS-BTV-15-001
37 CMS Collaboration Determination of Jet Energy Calibration and Transverse Momentum Resolution in CMS JINST 6 (2011) P11002 CMS-JME-10-011
1107.4277
38 CMS Collaboration Studies of jet mass in dijet and W/Z + jet events JHEP 05 (2013) 090 CMS-SMP-12-019
1303.4811
39 S. D. Ellis, C. K. Vermilion, and J. R. Walsh Techniques for improved heavy particle searches with jet substructure PRD 80 (2009) 051501 0903.5081
40 S. D. Ellis, C. K. Vermilion, and J. R. Walsh Recombination Algorithms and Jet Substructure: Pruning as a Tool for Heavy Particle Searches PRD 81 (2010) 094023 0912.0033
41 J. Thaler and K. Van Tilburg Identifying Boosted Objects with N-subjettiness JHEP 03 (2011) 015 1011.2268
42 S. Catani, Y. L. Dokshitzer, M. H. Seymour, and B. R. Webber Longitudinally invariant $ K_t $ clustering algorithms for hadron hadron collisions Nucl. Phys. B 406 (1993) 187--224
43 S. D. Ellis and D. E. Soper Successive combination jet algorithm for hadron collisions PRD 48 (1993) 3160--3166 hep-ph/9305266
44 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
45 CMS Collaboration Measurements of Inclusive $ W $ and $ Z $ Cross Sections in $ pp $ Collisions at $ \sqrt{s}=7 $ TeV JHEP 01 (2011) 080 CMS-EWK-10-002
1012.2466
46 CMS Collaboration Energy Calibration and Resolution of the CMS Electromagnetic Calorimeter in $ pp $ Collisions at $ \sqrt{s} = 7 $ TeV JINST 8 (2013) P09009 CMS-EGM-11-001
1306.2016
47 CMS Collaboration Search for leptonic decays of $ W $ ' bosons in $ pp $ collisions at $ \sqrt{s}=7 $ TeV JHEP 08 (2012) 023 CMS-EXO-11-024
1204.4764
48 CMS Collaboration Missing transverse energy performance of the CMS detector JINST 6 (2011) P09001 CMS-JME-10-009
1106.5048
49 CMS Collaboration Performance of Missing Transverse Momentum Reconstruction Algorithms in Proton-Proton Collisions at $ \sqrt{s} = 8 $~TeV with the CMS Detector CMS-PAS-JME-12-002 CMS-PAS-JME-12-002
50 Particle Data Group Collaboration Review of Particle Physics (RPP) PRD 86 (2012) 010001
51 CMS Collaboration Identification techniques for highly boosted W bosons that decay into hadrons JHEP 12 (2014) 017 CMS-JME-13-006
1410.4227
52 CMS Collaboration Search for massive resonances decaying into pairs of boosted W and Z bosons at $ \sqrt{s}=13 $ TeV CMS-PAS-EXO-15-001 CMS-PAS-EXO-15-001
53 M. J. Oreglia PhD thesis, Stanford University, 1980 SLAC Report SLAC-R-236
54 CMS Collaboration Preliminary CMS Luminosity Measurement for the 2015 Data Taking Period
55 A. L. Read Presentation of search results: The CL(s) technique JPG 28 (2002) 2693--2704
56 T. Junk Confidence level computation for combining searches with small statistics NIMA 434 (1999) 435--443 hep-ex/9902006
Compact Muon Solenoid
LHC, CERN