CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-B2G-20-008
Search for weak vector boson and gluon-gluon fusion production of heavy resonances decaying to Z($\nu\bar{\nu}$)Vqq
Abstract: A search is presented for heavy bosons decaying to Z($\nu\bar{\nu}$)Vqq, where V can either be a Z or a W boson. A sample of proton-proton collisions at $\sqrt{s}= $ 13 TeV were collected by the CMS experiment during 2016, 2017, and 2018. The data correspond to an integrated luminosity of 137 fb$^{-1}$. Events are categorized using substructure techniques and the presence of large missing transverse momentum to identify W and Z bosons decaying to quarks and neutrinos, respectively. Events are also categorized based on the presence of high-momentum jets in the forward region to identify production through weak vector boson fusion. The dominant standard model backgrounds are estimated using data taken from control regions. The data are interpreted in terms of radions, W' bosons, and gravitons, all under the assumption that these bosons are produced in gluon-gluon fusion, $\mathrm{q}\bar{\mathrm{q}}$-annihilation, or weak vector boson fusion processes. No evidence is found for physics beyond the standard model, and 95% confidence level upper limits are set on various types of hypothetical new bosons. Exclusion limits on the masses of these bosons range from 1.2 TeV to 4.0 TeV.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Distributions are shown for the decay angle of SM vector bosons in the rest frame of their parent particle. Solid lines represent VBF scenarios. Dashed lines represent ggF scenarios.

png pdf
Figure 2:
Distributions of ${m_{\mathrm {T}}}$ for ggF- (left) and VBF-produced (right) resonances.

png pdf
Figure 2-a:
Distributions of ${m_{\mathrm {T}}}$ for ggF- (left) and VBF-produced (right) resonances.

png pdf
Figure 2-b:
Distributions of ${m_{\mathrm {T}}}$ for ggF- (left) and VBF-produced (right) resonances.

png pdf
Figure 3:
The distributions of $\alpha $ versus ${m_{\mathrm {T}}}$ in the various event categories are shown. The last bin corresponds to the value obtained by integrating events above the penultimate bin.

png pdf
Figure 4:
Comparison of validation signal region background estimations and observations for the high-purity ggF/DY (top left), high-purity VBF (top right), low-purity ggF/DY (bottom left), and low-purity VBF (bottom right). The bottom panel shows the ratio of the estimated and the observed event yields. The hashed band represents the total uncertainty in the corresponding SR.

png pdf
Figure 4-a:
Comparison of validation signal region background estimations and observations for the high-purity ggF/DY (top left), high-purity VBF (top right), low-purity ggF/DY (bottom left), and low-purity VBF (bottom right). The bottom panel shows the ratio of the estimated and the observed event yields. The hashed band represents the total uncertainty in the corresponding SR.

png pdf
Figure 4-b:
Comparison of validation signal region background estimations and observations for the high-purity ggF/DY (top left), high-purity VBF (top right), low-purity ggF/DY (bottom left), and low-purity VBF (bottom right). The bottom panel shows the ratio of the estimated and the observed event yields. The hashed band represents the total uncertainty in the corresponding SR.

png pdf
Figure 4-c:
Comparison of validation signal region background estimations and observations for the high-purity ggF/DY (top left), high-purity VBF (top right), low-purity ggF/DY (bottom left), and low-purity VBF (bottom right). The bottom panel shows the ratio of the estimated and the observed event yields. The hashed band represents the total uncertainty in the corresponding SR.

png pdf
Figure 4-d:
Comparison of validation signal region background estimations and observations for the high-purity ggF/DY (top left), high-purity VBF (top right), low-purity ggF/DY (bottom left), and low-purity VBF (bottom right). The bottom panel shows the ratio of the estimated and the observed event yields. The hashed band represents the total uncertainty in the corresponding SR.

png pdf
Figure 5:
Distributions of ${m_{\mathrm {T}}}$ for high-purity VBF (left) and ggF/DY (right) CR events after performing background-only fits. The last bin in the left (right) plot corresponds to the yields integrated above 2.3 TeV (3 TeV). The top panels of each plot show the post-fit prediction, represented by filled histograms, compared to observed yields, represented by black points. A VBF-produced (ggF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. The middle panels of each plot show the ratio of data and post-fit predictions in blue. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 5-a:
Distributions of ${m_{\mathrm {T}}}$ for high-purity VBF (left) and ggF/DY (right) CR events after performing background-only fits. The last bin in the left (right) plot corresponds to the yields integrated above 2.3 TeV (3 TeV). The top panels of each plot show the post-fit prediction, represented by filled histograms, compared to observed yields, represented by black points. A VBF-produced (ggF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. The middle panels of each plot show the ratio of data and post-fit predictions in blue. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 5-b:
Distributions of ${m_{\mathrm {T}}}$ for high-purity VBF (left) and ggF/DY (right) CR events after performing background-only fits. The last bin in the left (right) plot corresponds to the yields integrated above 2.3 TeV (3 TeV). The top panels of each plot show the post-fit prediction, represented by filled histograms, compared to observed yields, represented by black points. A VBF-produced (ggF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. The middle panels of each plot show the ratio of data and post-fit predictions in blue. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 6:
Distributions of ${m_{\mathrm {T}}}$ for low-purity VBF (left) and ggF/DY (right) CR events after performing background-only fits. The last bin in the left (right) plot corresponds to the yields integrated above 2.7 TeV (3.5 TeV). The top panels of each plot show the post-fit prediction, represented by filled histograms, compared to observed yields, represented by black points. A VBF-produced (ggF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. The middle panels of each plot show the ratio of data and post-fit predictions in blue. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 6-a:
Distributions of ${m_{\mathrm {T}}}$ for low-purity VBF (left) and ggF/DY (right) CR events after performing background-only fits. The last bin in the left (right) plot corresponds to the yields integrated above 2.7 TeV (3.5 TeV). The top panels of each plot show the post-fit prediction, represented by filled histograms, compared to observed yields, represented by black points. A VBF-produced (ggF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. The middle panels of each plot show the ratio of data and post-fit predictions in blue. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 6-b:
Distributions of ${m_{\mathrm {T}}}$ for low-purity VBF (left) and ggF/DY (right) CR events after performing background-only fits. The last bin in the left (right) plot corresponds to the yields integrated above 2.7 TeV (3.5 TeV). The top panels of each plot show the post-fit prediction, represented by filled histograms, compared to observed yields, represented by black points. A VBF-produced (ggF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. The middle panels of each plot show the ratio of data and post-fit predictions in blue. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 7:
Distribution of the predicted and observed event yields versus ${m_{\mathrm {T}}}$ for high-purity VBF (right) and ggF/DY (left) signal region events. The last bin in each plot corresponds to the yields integrated above the penultimate bin. The top panels of each plot show the prediction based on a background-only fit to data, represented by filled histograms, compared to observed yields, represented by black points. A ggF-produced (VBF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The middle panels of each plot show the ratio of data and post-fit predictions in blue. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 7-a:
Distribution of the predicted and observed event yields versus ${m_{\mathrm {T}}}$ for high-purity VBF (right) and ggF/DY (left) signal region events. The last bin in each plot corresponds to the yields integrated above the penultimate bin. The top panels of each plot show the prediction based on a background-only fit to data, represented by filled histograms, compared to observed yields, represented by black points. A ggF-produced (VBF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The middle panels of each plot show the ratio of data and post-fit predictions in blue. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 7-b:
Distribution of the predicted and observed event yields versus ${m_{\mathrm {T}}}$ for high-purity VBF (right) and ggF/DY (left) signal region events. The last bin in each plot corresponds to the yields integrated above the penultimate bin. The top panels of each plot show the prediction based on a background-only fit to data, represented by filled histograms, compared to observed yields, represented by black points. A ggF-produced (VBF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The middle panels of each plot show the ratio of data and post-fit predictions in blue. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 8:
Distribution of the predicted and observed event yields versus ${m_{\mathrm {T}}}$ for low-purity VBF (right) and ggF/DY (left) signal region events. The last bin in each plot corresponds to the yields integrated above the penultimate bin. The top panels of each plot show the prediction based on a background-only fit to data, represented by filled histograms, compared to observed yields, represented by black points. A ggF-produced (VBF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The middle panels of each plot show the ratio of data and post-fit predictions in blue. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 8-a:
Distribution of the predicted and observed event yields versus ${m_{\mathrm {T}}}$ for low-purity VBF (right) and ggF/DY (left) signal region events. The last bin in each plot corresponds to the yields integrated above the penultimate bin. The top panels of each plot show the prediction based on a background-only fit to data, represented by filled histograms, compared to observed yields, represented by black points. A ggF-produced (VBF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The middle panels of each plot show the ratio of data and post-fit predictions in blue. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 8-b:
Distribution of the predicted and observed event yields versus ${m_{\mathrm {T}}}$ for low-purity VBF (right) and ggF/DY (left) signal region events. The last bin in each plot corresponds to the yields integrated above the penultimate bin. The top panels of each plot show the prediction based on a background-only fit to data, represented by filled histograms, compared to observed yields, represented by black points. A ggF-produced (VBF-produced) 1 TeV graviton signal is shown in the left (right) plot, represented by the open red histogram. The middle panels of each plot show the ratio of data and post-fit predictions in blue. The blue hashed area represents the total uncertainty from the post-fit predicted event yield as a function of ${m_{\mathrm {T}}}$. Each plot's bottom panel shows the difference between the observed event yields and the post-fit predictions normalized by the quadrature sum of the statistical uncertainty of the observed yield and the total uncertainty from the post-fit prediction in each ${m_{\mathrm {T}}}$ bin.

png pdf
Figure 9:
Expected and observed 95% CL upper limits on the product of the radion (R) production cross section and the $R\to \mathrm{Z} \mathrm{Z} $ branching ratio versus the radion mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent the 68% and 95% intervals of expected limits. The red curve shows the theoretical radion production cross section times their ZZ branching ratio. The hashed red area represents the theoretical cross section uncertainty due to limited knowledge of PDFs and QCD scale choices. Limits and theory cross sections for ggF-produced radions are shown in the left figure, while the right figure shows the same for VBF-produced radions.

png pdf
Figure 9-a:
Expected and observed 95% CL upper limits on the product of the radion (R) production cross section and the $R\to \mathrm{Z} \mathrm{Z} $ branching ratio versus the radion mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent the 68% and 95% intervals of expected limits. The red curve shows the theoretical radion production cross section times their ZZ branching ratio. The hashed red area represents the theoretical cross section uncertainty due to limited knowledge of PDFs and QCD scale choices. Limits and theory cross sections for ggF-produced radions are shown in the left figure, while the right figure shows the same for VBF-produced radions.

png pdf
Figure 9-b:
Expected and observed 95% CL upper limits on the product of the radion (R) production cross section and the $R\to \mathrm{Z} \mathrm{Z} $ branching ratio versus the radion mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent the 68% and 95% intervals of expected limits. The red curve shows the theoretical radion production cross section times their ZZ branching ratio. The hashed red area represents the theoretical cross section uncertainty due to limited knowledge of PDFs and QCD scale choices. Limits and theory cross sections for ggF-produced radions are shown in the left figure, while the right figure shows the same for VBF-produced radions.

png pdf
Figure 10:
Expected and observed 95% CL upper limits on the product of the W' production cross section and the $\mathrm{W} '\to \mathrm{W} \mathrm{Z} $ branching ratio versus the W' mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent the 68% and 95% intervals of the expected limit. The red curve shows the theoretical W' boson production cross section times their WZ branching ratio. Limits and theory cross sections for $\mathrm{q\bar{q}}$-produced (DY) W' bosons are shown in the left figure, while the right figure shows the same for VBF-produced W' bosons.

png pdf
Figure 10-a:
Expected and observed 95% CL upper limits on the product of the W' production cross section and the $\mathrm{W} '\to \mathrm{W} \mathrm{Z} $ branching ratio versus the W' mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent the 68% and 95% intervals of the expected limit. The red curve shows the theoretical W' boson production cross section times their WZ branching ratio. Limits and theory cross sections for $\mathrm{q\bar{q}}$-produced (DY) W' bosons are shown in the left figure, while the right figure shows the same for VBF-produced W' bosons.

png pdf
Figure 10-b:
Expected and observed 95% CL upper limits on the product of the W' production cross section and the $\mathrm{W} '\to \mathrm{W} \mathrm{Z} $ branching ratio versus the W' mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent the 68% and 95% intervals of the expected limit. The red curve shows the theoretical W' boson production cross section times their WZ branching ratio. Limits and theory cross sections for $\mathrm{q\bar{q}}$-produced (DY) W' bosons are shown in the left figure, while the right figure shows the same for VBF-produced W' bosons.

png pdf
Figure 11:
Expected and observed 95% CL upper limits on the product of the graviton (G) production cross section and the $\mathrm{G} \to \mathrm{Z} \mathrm{Z} $ branching ratio versus the graviton mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent 68% and 95% intervals of the expected limit. The red curve shows the theoretical graviton production cross section times their ZZ branching ratio. Limits and theory cross sections for ggF-produced gravitons are shown in the left figure, while the right figure shows the same for VBF-produced gravitons.

png pdf
Figure 11-a:
Expected and observed 95% CL upper limits on the product of the graviton (G) production cross section and the $\mathrm{G} \to \mathrm{Z} \mathrm{Z} $ branching ratio versus the graviton mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent 68% and 95% intervals of the expected limit. The red curve shows the theoretical graviton production cross section times their ZZ branching ratio. Limits and theory cross sections for ggF-produced gravitons are shown in the left figure, while the right figure shows the same for VBF-produced gravitons.

png pdf
Figure 11-b:
Expected and observed 95% CL upper limits on the product of the graviton (G) production cross section and the $\mathrm{G} \to \mathrm{Z} \mathrm{Z} $ branching ratio versus the graviton mass are shown as dashed and solid black lines, respectively. Green and yellow bands, respectively, represent 68% and 95% intervals of the expected limit. The red curve shows the theoretical graviton production cross section times their ZZ branching ratio. Limits and theory cross sections for ggF-produced gravitons are shown in the left figure, while the right figure shows the same for VBF-produced gravitons.
Tables

png pdf
Table 1:
Summary of systematic uncertainties (in%) for SM backgrounds. Columns two and three tabulate the representative size of effects on $\alpha $ in the VBF and ggF/DY events categories, respectively. Columns four through seven tabulate the typical size of effects on the prediction of resonant background yields in the VBF SR, VBF CR, ggF/DY SR, and ggF/DY CR, respectively.

png pdf
Table 2:
Summary of the typical size of systematic uncertainties (in %) on the predicted signal yields in various regions.
Summary
A search is presented for new bosonic states decaying to either a pair of Z bosons or a Z boson and a W boson. The analyzed final state requires large missing transverse momentum and one high-momentum, large-radius jet. Large-radius jets are required to have a mass consistent with either a Z or W boson. Events are categorized based on the presence of large-radius jets passing high-purity and low-purity substructure requirements. Events are also categorized based on the presence or absence of high momentum jets in the forward region of the detector. Forward jets distinguish gluon-gluon fusion (ggF) and weak vector boson fusion (VBF) production mechanisms. The dominant SM backgrounds are estimated using an extrapolation method from data control regions. No deviation between SM expectation and data is found, and 95% confidence level (CL) upper limits are set on the product of the production cross section and branching ratio for several signal models. A lower limit of 3.0 TeV is set on the mass of ggF-produced radions. The mass exclusion limit for $\mathrm{q\bar{q}}$-produced W' bosons is found to be 4.0 TeV. The mass exclusion limit for ggF-produced gravitons is found to be 1.2 TeV. No mass exclusion limits are set for models in which resonances are exclusively produced through VBF. At 95% CL, upper limits on the product of the VBF production cross section and $X\rightarrow \mathrm{V} \mathrm{Z}$ branching ratio range between 0.2 fb and 20 fb.
References
1 L. Randall and R. Sundrum Large mass hierarchy from a small extra dimension Physical Review Letters 83 (Oct, 1999) 3370 hep-ph/9905221
2 L. Randall and R. Sundrum An alternative to compactification Physical Review Letters 83 (Dec, 1999) 4690 hep-th/9906064
3 D. Pappadopulo, A. Thamm, R. Torre, and A. Wulzer Heavy vector triplets: Bridging theory and data JHEP 09 (2014) 060 1402.4431
4 K. Agashe et al. LHC signals for warped electroweak charged gauge bosons PRD 80 (2009) 075007 0810.1497
5 K. Agashe et al. LHC signals for coset electroweak gauge bosons in warped/composite PGB higgs models PRD 81 (2010) 096002 0911.0059
6 K. Agashe et al. LHC signals for warped electroweak neutral gauge bosons PRD 76 (2007) 115015 0709.0007
7 N. Arkani-Hamed et al. The minimal moose for a little Higgs JHEP 08 (2002) 021 hep-ph/0206020
8 N. Arkani-Hamed, A. G. Cohen, E. Katz, and A. E. Nelson The littlest Higgs JHEP 07 (2002) 034 hep-ph/0206021
9 G. Burdman, M. Perelstein, and A. Pierce Large hadron collider tests of a little Higgs model PRL 90 (2003) 241802 hep-ph/0212228
10 K. Agashe, H. Davoudiasl, G. Perez, and A. Soni Warped gravitons at the CERN LHC and beyond PRD 76 (Aug, 2007) 036006 hep-ph/0701186
11 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
12 ATLAS Collaboration Searches for heavy $ ZZ $ and $ ZW $ resonances in the $ \ell\ell qq $ and $ \nu\nu qq $ final states in $ pp $ collisions at $ \sqrt{s}= $ 13 TeV with the ATLAS detector JHEP 03 (2018) 009 1708.09638
13 CMS Collaboration Search for a heavy resonance decaying into a Z boson and a vector boson in the $ \nu \overline{\nu}\mathrm{q}\overline{\mathrm{q}} $ final state JHEP 07 (2018) 075 CMS-B2G-17-005
1803.03838
14 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
15 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
16 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
17 P. Artoisenet, R. Frederix, O. Mattelaer, and R. Rietkerk Automatic spin-entangled decays of heavy resonances in Monte Carlo simulations JHEP 03 (2013) 015 1212.3460
18 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
19 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
20 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
21 S. Alioli, P. Nason, C. Oleari, and E. Re NLO single-top production matched with shower in POWHEG: $ s $- and $ t $-channel contributions JHEP 09 (2009) 111 0907.4076
22 E. Re Single-top Wt-channel production matched with parton showers using the POWHEG method EPJC 71 (2011) 1547 1009.2450
23 T. Sjostrand et al. An introduction to PYTHIA 8.2 CPC 191 (2015) 159 1410.3012
24 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016), no. 3, 155 CMS-GEN-14-001
1512.00815
25 CMS Collaboration Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements EPJC 80 (2020), no. 1, 4 CMS-GEN-17-001
1903.12179
26 NNPDF Collaboration Parton distributions for the LHC Run II JHEP 04 (2015) 040 1410.8849
27 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
28 T. Melia, P. Nason, R. Rontsch, and G. Zanderighi W$ ^+ $W$ ^- $, WZ and ZZ production in the POWHEG BOX JHEP 11 (2011) 078 1107.5051
29 M. Beneke, P. Falgari, S. Klein, and C. Schwinn Hadronic top-quark pair production with NNLL threshold resummation NPB 855 (2012) 695 1109.1536
30 M. Cacciari et al. Top-pair production at hadron colliders with next-to-next-to-leading logarithmic soft-gluon resummation PLB 710 (2012) 612 1111.5869
31 P. Barnreuther, M. Czakon, and A. Mitov Percent level precision physics at the Tevatron: First genuine NNLO QCD corrections to $ \mathrm{q\bar{q}}\to\mathrm{t\bar{t}} +X $ PRL 109 (2012) 132001 1204.5201
32 M. Czakon and A. Mitov NNLO corrections to top-pair production at hadron colliders: the all-fermionic scattering channels JHEP 12 (2012) 054 1207.0236
33 M. Czakon and A. Mitov NNLO corrections to top pair production at hadron colliders: the quark-gluon reaction JHEP 01 (2013) 080 1210.6832
34 M. Czakon, P. Fiedler, and A. Mitov Total top-quark pair-production cross section at hadron colliders through $ O({\alpha_S}^4) $ PRL 110 (2013) 252004 1303.6254
35 R. Gavin, Y. Li, F. Petriello, and S. Quackenbush W physics at the LHC with FEWZ 2.1 CPC 184 (2013) 208 1201.5896
36 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 CPC 182 (2011) 2388 1011.3540
37 J. M. Lindert et al. Precise predictions for $ V+ $jets dark matter backgrounds EPJC 77 (2017), no. 12, 829 1705.04664
38 S. Bolognesi et al. On the spin and parity of a single-produced resonance at the LHC PRD 86 (2012) 095031 1208.4018
39 A. Oliveira Gravity particles from warped extra dimensions, predictions for LHC (Mar, 2014) 1404.0102
40 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
41 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
42 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
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 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_t $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
45 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
46 CMS Collaboration Performance of Electron Reconstruction and Selection with the CMS Detector in Proton-Proton Collisions at $ \sqrt{s} = $ 8 TeV JINST 10 (2015), no. 06, P06005 CMS-EGM-13-001
1502.02701
47 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
48 K. Rehermann and B. Tweedie Efficient identification of boosted semileptonic top quarks at the LHC JHEP 03 (2011) 059 1007.2221
49 CMS Collaboration Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at $ \sqrt{s} = $ 8 TeV JINST 10 (2015) P08010 CMS-EGM-14-001
1502.02702
50 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
51 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
52 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup Per Particle Identification JHEP 10 (2014) 059 1407.6013
53 CMS Collaboration Jet performance in pp collisions at $ \sqrt{s}= $ 7 TeV CDS
54 CMS Collaboration Jet algorithms performance in 13 TeV data CMS-PAS-JME-16-003 CMS-PAS-JME-16-003
55 M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam Towards an understanding of jet substructure JHEP 09 (2013) 029 1307.0007
56 A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler Soft Drop JHEP 05 (2014) 146 1402.2657
57 J. Thaler and K. Van Tilburg Identifying boosted objects with N-subjettiness JHEP 03 (2011) 015 1011.2268
58 CMS Collaboration Identification of heavy-flavour jets with the CMS detector in pp collisions at 13TeV JINST 13 (2018) P05011 CMS-BTV-16-002
1712.07158
59 CMS Collaboration Performance of missing transverse momentum reconstruction in proton-proton collisions at $ \sqrt{s} = $ 13TeV using the CMS detector JINST 14 (2019), no. 07, P07004 CMS-JME-17-001
1903.06078
60 A. L. Read Presentation of search results: the CLs technique JPG 28 (2002) 2693
61 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