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CMS-PAS-B2G-20-010
Search for a heavy resonance decaying into a top quark and a W boson in the lepton+jets final state at 13 TeV
Abstract: A search for a heavy resonance decaying into a top quark and a W boson in proton-proton collisions at $\sqrt{s}= $ 13 TeV is presented. The data analyzed were recorded with the CMS detector at the LHC and correspond to an integrated luminosity of 137 fb$^{-1}$. The search is performed in the lepton+jets final state, where the lepton is either an electron or muon. The top quark is reconstructed with a single jet and the W boson from its decay into a charged lepton and a neutrino. A top quark tagging technique based on a jet clustering with variable distance parameter and inherent jet grooming is used to identify jets from the collimated top quark decay. An excited bottom quark $\mathrm{b}^{*}$ model is used as a benchmark. A combination with an analysis in the all-hadronic final state is performed. At 95% confidence level, $\mathrm{b}^{*}$ masses up to 2.95, 3.03 and 3.22 TeV are excluded for left-handed, right-handed and vector-like couplings, respectively.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Distribution of $\alpha $ as a function of ${M_{\mathrm{t} \mathrm{W}}}$ for the background estimation in the 1b (left) and 2b (right) categories. Two different parametrizations are fitted to the distributions (solid lines) and the total uncertainty is shown as colored area.

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Figure 1-a:
Distribution of $\alpha $ as a function of ${M_{\mathrm{t} \mathrm{W}}}$ for the background estimation in the 1b (left) and 2b (right) categories. Two different parametrizations are fitted to the distributions (solid lines) and the total uncertainty is shown as colored area.

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Figure 1-b:
Distribution of $\alpha $ as a function of ${M_{\mathrm{t} \mathrm{W}}}$ for the background estimation in the 1b (left) and 2b (right) categories. Two different parametrizations are fitted to the distributions (solid lines) and the total uncertainty is shown as colored area.

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Figure 2:
Distributions of ${M_{\mathrm{t} \mathrm{W}}}$ in the 1b (left) and 2b (right) categories. The data are shown by closed markers, where the horizontal bars indicate the bin widths. The individual background contributions are given by filled histograms, the signal is shown by a dashed line. The shaded region is the uncertainty in the total background estimate. The lower panels of each figure show the ratio of data to the background estimate, with the total uncertainty displayed as gray area.

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Figure 2-a:
Distributions of ${M_{\mathrm{t} \mathrm{W}}}$ in the 1b (left) and 2b (right) categories. The data are shown by closed markers, where the horizontal bars indicate the bin widths. The individual background contributions are given by filled histograms, the signal is shown by a dashed line. The shaded region is the uncertainty in the total background estimate. The lower panels of each figure show the ratio of data to the background estimate, with the total uncertainty displayed as gray area.

png pdf
Figure 2-b:
Distributions of ${M_{\mathrm{t} \mathrm{W}}}$ in the 1b (left) and 2b (right) categories. The data are shown by closed markers, where the horizontal bars indicate the bin widths. The individual background contributions are given by filled histograms, the signal is shown by a dashed line. The shaded region is the uncertainty in the total background estimate. The lower panels of each figure show the ratio of data to the background estimate, with the total uncertainty displayed as gray area.

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Figure 3:
Upper limits on the production cross section of the left-handed (top left), right-handed (top right) and vector-like (bottom) ${\mathrm{b} ^{*}} $ hypotheses at 95% CL. Dashed colored lines show the expected limits from the $\ell $+jets and all-hadronic channels, where the latter start at ${\mathrm{b} ^{*}} $ masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68% and 95% confidence intervals on the combined expected limits. The theoretical cross section is shown as dotted line.

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Figure 3-a:
Upper limits on the production cross section of the left-handed (top left), right-handed (top right) and vector-like (bottom) ${\mathrm{b} ^{*}} $ hypotheses at 95% CL. Dashed colored lines show the expected limits from the $\ell $+jets and all-hadronic channels, where the latter start at ${\mathrm{b} ^{*}} $ masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68% and 95% confidence intervals on the combined expected limits. The theoretical cross section is shown as dotted line.

png pdf
Figure 3-b:
Upper limits on the production cross section of the left-handed (top left), right-handed (top right) and vector-like (bottom) ${\mathrm{b} ^{*}} $ hypotheses at 95% CL. Dashed colored lines show the expected limits from the $\ell $+jets and all-hadronic channels, where the latter start at ${\mathrm{b} ^{*}} $ masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68% and 95% confidence intervals on the combined expected limits. The theoretical cross section is shown as dotted line.

png pdf
Figure 3-c:
Upper limits on the production cross section of the left-handed (top left), right-handed (top right) and vector-like (bottom) ${\mathrm{b} ^{*}} $ hypotheses at 95% CL. Dashed colored lines show the expected limits from the $\ell $+jets and all-hadronic channels, where the latter start at ${\mathrm{b} ^{*}} $ masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68% and 95% confidence intervals on the combined expected limits. The theoretical cross section is shown as dotted line.
Tables

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Table 1:
Summary of all considered sources of systematic uncertainties affecting the ${M_{\mathrm{t} \mathrm{W}}}$ distributions in the 1b and 2b categories of the $\ell $+jets channel. The source of the uncertainty is given in the first column. The second column indicates if the uncertainty results in a change of normalization or the shape of the ${M_{\mathrm{t} \mathrm{W}}}$ distribution. The samples affected by a given uncertainty source are shown in the third column. The fourth column shows the impact of the uncertainty on the signal yield when changing it up or down by one standard deviation from its post-fit value, estimated for a LH ${\mathrm{b} ^{*}} $ signal with a mass of 2.4 TeV. Uncertainties taken to be fully correlated across the three years are given in the top part of the table. Uncertainties affecting both the $\ell $+jets and all-hadronic channels are marked by an asterisk ($*$).
Summary
A search for a heavy resonance decaying to tW in the final state with a lepton and a t-tagged jet was presented. Data of proton-proton collisions at a center-of-mass energy of 13 TeV corresponding to 137 fb$^{-1}$ were analyzed.

The final state where the W boson decays leptonically and the top quark decays fully hadronically is probed. The HOTVR algorithm is used for the first time in an analysis of LHC data to identify the collimated top quark decay, thereby extending the reach of the analysis to masses from 0.7 to 4.2 TeV. The dominant $\mathrm{t\bar{t}}$ background is constrained using a dedicated control region and the background from misidentified t jets is estimated from data.

No significant excess of data over the background prediction is observed. A statistical combination with an analysis in the all-hadronic final state is performed. The $\mathrm{b}^{*}$ hypotheses with left-handed, right-handed and vector-like chiralities are excluded at 95% confidence level up to masses of 2.95, 3.03 and 3.22 TeV, respectively.
References
1 H. Harari Composite models for quarks and leptons PR 104 (1984) 159
2 U. Baur, M. Spira, and P. M. Zerwas Excited-quark and -lepton production at hadron colliders PRD 42 (1990) 815
3 T. M. P. Tait and C. P. Yuan Single top quark production as a window to physics beyond the standard model PRD 63 (2000) 014018 hep-ph/0007298
4 J. Nutter, R. Schwienhorst, D. G. E. Walker, and J.-H. Yu Single top production as a probe of $ \mathrm{{B}}^{\prime} $ quarks PRD 86 (2012) 094006 1207.5179
5 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
6 ATLAS Collaboration Search for single b$^{*}$-quark production with the ATLAS detector at $ \sqrt{s}= $ 7 TeV PLB 721 (2013) 171 1301.1583
7 ATLAS Collaboration Search for the production of single vector-like and excited quarks in the $ {\mathrm{W}}{\mathrm{t}} $ final state in pp collisions at $ \sqrt{s} = $ 8 TeV with the ATLAS detector JHEP 02 (2016) 110 1510.02664
8 CMS Collaboration Search for the production of an excited bottom quark decaying to $ {\mathrm{t}}{\mathrm{W}} $ in proton-proton collisions at $ \sqrt{s}= $ 8 TeV JHEP 01 (2016) 166 CMS-B2G-14-005
1509.08141
9 CMS Collaboration Search for a heavy resonance decaying to a top quark and a W boson at $ \sqrt{s} = $ 13 TeV in the fully hadronic final state CMS-PAS-B2G-19-003 CMS-PAS-B2G-19-003
10 A. J. Larkoski, I. Moult, and B. Nachman Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning Phys. Rep. 841 (2020) 1 1709.04464
11 R. Kogler, B. Nachman, A. Schmidt (editors) et al. Jet substructure at the Large Hadron Collider Rev. Mod. Phys. 91 (2019) 045003 1803.06991
12 T. Lapsien, R. Kogler, and J. Haller A new tagger for hadronically decaying heavy particles at the LHC EPJC 76 (2016) 600 1606.04961
13 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
14 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: The POWHEG method JHEP 11 (2007) 070 0709.2092
15 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
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. Frixione, P. Nason, and G. Ridolfi A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction JHEP 09 (2007) 126 0707.3088
18 E. Re Single-top $ {\mathrm{W}}{\mathrm{t}} $-channel production matched with parton showers using the POWHEG method EPJC 71 (2011) 1547 1009.2450
19 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
20 J. Alwall et al. Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions EPJC 53 (2008) 473 0706.2569
21 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
22 M. Aliev et al. HATHOR -- HAdronic Top and Heavy quarks crOss section calculatoR CPC 182 (2011) 1034 1007.1327
23 CMS Collaboration Measurement of differential cross sections for top quark pair production using the lepton+jets final state in proton-proton collisions at 13 TeV PRD 95 (2017) 092001 CMS-TOP-16-008
1610.04191
24 CMS Collaboration Measurements of $ \mathrm{t\overline{t}} $ differential cross sections in proton-proton collisions at $ \sqrt{s}= $ 13 TeV using events containing two leptons JHEP 02 (2019) 149 CMS-TOP-17-014
1811.06625
25 T. Sjostrand et al. An introduction to PYTHIA 8.2 CPC 191 (2015) 159 1410.3012
26 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016) 155 CMS-GEN-14-001
1512.00815
27 CMS Collaboration Investigations of the impact of the parton shower tuning in Pythia 8 in the modelling of $ \mathrm{t\overline{t}} $ at $ \sqrt{s}= $ 8 and 13 TeV CMS-PAS-TOP-16-021 CMS-PAS-TOP-16-021
28 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
29 NNPDF Collaboration Parton distributions for the LHC Run II JHEP 04 (2015) 040 1410.8849
30 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
31 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
32 GEANT4 Collaboration GEANT4: A simulation toolkit NIMA 506 (2003) 250
33 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
34 CMS Collaboration Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC Submitted to JINST CMS-EGM-17-001
2012.06888
35 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
36 CMS Collaboration Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid CMS-PAS-TDR-15-002 CMS-PAS-TDR-15-002
37 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
38 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ {k_{\mathrm{T}}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
39 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
40 M. Cacciari and G. P. Salam Pileup subtraction using jet areas PLB 659 (2008) 119 0707.1378
41 Y. L. Dokshitzer, G. D. Leder, S. Moretti, and B. R. Webber Better jet clustering algorithms JHEP 08 (1997) 001 hep-ph/9707323
42 M. Wobisch and T. Wengler Hadronization corrections to jet cross-sections in deep inelastic scattering in Proceedings of the Workshop on Monte Carlo Generators for HERA Physics, Hamburg, Germany 1998 hep-ph/9907280
43 M. Stoll Vetoed jet clustering: The mass-jump algorithm JHEP 04 (2015) 111 1410.4637
44 CMS Collaboration Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques JINST 15 (2020) P06005 CMS-JME-18-002
2004.08262
45 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
46 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
47 CMS Collaboration Jet energy scale and resolution in the CMS experiment in $ {\mathrm{p}}{\mathrm{p}} $ collisions at 8 TeV JINST 12 (2017) P02014 CMS-JME-13-004
1607.03663
48 J. Thaler and K. Van Tilburg Identifying boosted objects with $ {N} $-subjettiness JHEP 03 (2011) 015 1011.2268
49 J. Thaler and K. Van Tilburg Maximizing boosted top identification by minimizing $ {N} $-subjettiness JHEP 02 (2012) 093 1108.2701
50 CMS Collaboration Performance of b tagging algorithms in proton-proton collisions at 13 TeV with Phase 1 CMS detector CDS
51 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
52 CMS Collaboration Search for massive resonances decaying into $ {\mathrm{W}\mathrm{W}} $, $ {\mathrm{W}\mathrm{Z}} $ or $ {\mathrm{Z}\mathrm{Z}} $ bosons in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 03 (2017) 162 CMS-B2G-16-004
1612.09159
53 CMS Collaboration CMS luminosity measurements for the 2016 data taking period CMS-PAS-LUM-17-001 CMS-PAS-LUM-17-001
54 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
55 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
56 J. S. Conway Incorporating nuisance parameters in likelihoods for multisource spectra in Proceedings, workshop on statistical issues related to discovery claims in search experiments and unfolding (PHYSTAT 2011) 1103.0354
57 R. J. Barlow and C. Beeston Fitting using finite Monte Carlo samples CPC 77 (1993) 219
58 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
Compact Muon Solenoid
LHC, CERN