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CMS-SMP-24-012 ; CERN-EP-2026-034
Measurement of the jet mass in hadronic decays of boosted W bosons at 13 TeV and extraction of the W boson mass
Submitted to the Journal of High Energy Physics
Abstract: The jet mass of W bosons decaying to a quark-antiquark pair is measured in W+jets events from proton-proton collisions at a center-of-mass energy of 13 TeV. The data used were collected by the CMS experiment at the CERN LHC and correspond to an integrated luminosity of 138 fb$ ^{-1} $. Hadronic decays of W bosons with high momenta produce strongly collimated decay products due to the large Lorentz boost, and are reconstructed as single large-radius jets. These jets have a characteristic substructure that is exploited to distinguish them from the large background of quark- and gluon-initiated jets. The jet mass is computed using the soft-drop algorithm, which suppresses soft wide-angle radiation that leads to a broadening of the jet mass distribution. For the first time, unfolded measurements are presented of the double-differential W+jets cross section as a function of the jet transverse momentum and soft-drop mass. From these distributions, the W boson mass is obtained, with a value of 80.83 $ \pm $ 0.55 GeV, achieving the smallest uncertainty available today from an all-jets final state at a hadron collider.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Feynman diagram for tree-level $ \mathrm{W}(\mathrm{q}\overline{\mathrm{q}}') $+jets production.

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Figure 2:
Acceptance as a function of $ m_\mathrm{SD}^\mathrm{ptcl} $ without (left) and with (right) the requirement $ N_{2}^{(1)} < $ 0.2 at the particle level. The acceptance is calculated using the $ \mathrm{W}(\mathrm{q}\overline{\mathrm{q}}') $+jets signal simulation with 2018 detector conditions.

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Figure 2-a:
Acceptance as a function of $ m_\mathrm{SD}^\mathrm{ptcl} $ without (left) and with (right) the requirement $ N_{2}^{(1)} < $ 0.2 at the particle level. The acceptance is calculated using the $ \mathrm{W}(\mathrm{q}\overline{\mathrm{q}}') $+jets signal simulation with 2018 detector conditions.

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Figure 2-b:
Acceptance as a function of $ m_\mathrm{SD}^\mathrm{ptcl} $ without (left) and with (right) the requirement $ N_{2}^{(1)} < $ 0.2 at the particle level. The acceptance is calculated using the $ \mathrm{W}(\mathrm{q}\overline{\mathrm{q}}') $+jets signal simulation with 2018 detector conditions.

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Figure 3:
Reconstructed $ m_\mathrm{SD} $ distributions in the second $ p_{\mathrm{T}} $ bin with 650 $ < p_{\mathrm{T}} < $ 725 GeV in the signal (upper row) and control (lower row) regions defined using the $ N_{2}^{(1),\mathrm{DDT}} $ (left) and $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ (right) taggers after the background estimation and a fit to the data, explained in Section 6. All four data-taking periods are combined, resulting in a total integrated luminosity of 138 fb$ ^{-1} $. The lower panels show the data-to-simulation ratio. The error bars correspond to the statistical uncertainty in the data. The dashed band is the total uncertainty on the background after a fit to the data distribution.

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Figure 3-a:
Reconstructed $ m_\mathrm{SD} $ distributions in the second $ p_{\mathrm{T}} $ bin with 650 $ < p_{\mathrm{T}} < $ 725 GeV in the signal (upper row) and control (lower row) regions defined using the $ N_{2}^{(1),\mathrm{DDT}} $ (left) and $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ (right) taggers after the background estimation and a fit to the data, explained in Section 6. All four data-taking periods are combined, resulting in a total integrated luminosity of 138 fb$ ^{-1} $. The lower panels show the data-to-simulation ratio. The error bars correspond to the statistical uncertainty in the data. The dashed band is the total uncertainty on the background after a fit to the data distribution.

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Figure 3-b:
Reconstructed $ m_\mathrm{SD} $ distributions in the second $ p_{\mathrm{T}} $ bin with 650 $ < p_{\mathrm{T}} < $ 725 GeV in the signal (upper row) and control (lower row) regions defined using the $ N_{2}^{(1),\mathrm{DDT}} $ (left) and $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ (right) taggers after the background estimation and a fit to the data, explained in Section 6. All four data-taking periods are combined, resulting in a total integrated luminosity of 138 fb$ ^{-1} $. The lower panels show the data-to-simulation ratio. The error bars correspond to the statistical uncertainty in the data. The dashed band is the total uncertainty on the background after a fit to the data distribution.

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Figure 3-c:
Reconstructed $ m_\mathrm{SD} $ distributions in the second $ p_{\mathrm{T}} $ bin with 650 $ < p_{\mathrm{T}} < $ 725 GeV in the signal (upper row) and control (lower row) regions defined using the $ N_{2}^{(1),\mathrm{DDT}} $ (left) and $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ (right) taggers after the background estimation and a fit to the data, explained in Section 6. All four data-taking periods are combined, resulting in a total integrated luminosity of 138 fb$ ^{-1} $. The lower panels show the data-to-simulation ratio. The error bars correspond to the statistical uncertainty in the data. The dashed band is the total uncertainty on the background after a fit to the data distribution.

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Figure 3-d:
Reconstructed $ m_\mathrm{SD} $ distributions in the second $ p_{\mathrm{T}} $ bin with 650 $ < p_{\mathrm{T}} < $ 725 GeV in the signal (upper row) and control (lower row) regions defined using the $ N_{2}^{(1),\mathrm{DDT}} $ (left) and $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ (right) taggers after the background estimation and a fit to the data, explained in Section 6. All four data-taking periods are combined, resulting in a total integrated luminosity of 138 fb$ ^{-1} $. The lower panels show the data-to-simulation ratio. The error bars correspond to the statistical uncertainty in the data. The dashed band is the total uncertainty on the background after a fit to the data distribution.

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Figure 4:
Residual function $ r(\hat{p}_{\mathrm{T}}, \hat{\rho}_\mathrm{SD}) $ obtained from a fit to data, when using the $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ as jet tagger. The arguments of the function $ r $, $ \hat{p}_{\mathrm{T}} $ and $ \hat{\rho}_\mathrm{SD} $ are functions of $ m_\mathrm{SD} $ and $ p_{\mathrm{T}} $ and correspond to the normalized observables $ p_{\mathrm{T}} $ and $ \rho_{\mathrm{SD}} $, scaled to lie in the interval $ [0,1] $. The hatched area is excluded from the analyses by selecting $ \rho_{\mathrm{SD}} < - $ 2.1.

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Figure 5:
Summary of the effect of the systematic uncertainties in the reconstructed SD jet mass in the $ \mathrm{W}(\mathrm{q}\overline{\mathrm{q}}') $+jets signal sample in a representative $ p_{\mathrm{T}} $ bin. The dominant shape effects can be attributed to uncertainties in the hadronization model, jet energy scale, and final-state shower. The jet energy scale and final state shower mainly affect the region of the W boson mass peak (70 $ < m_\mathrm{SD} < $ 110 GeV).

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Figure 6:
Response matrix obtained for selected events in simulation. The matrix is obtained from a sum of all data-taking eras. The grey dashed lines separate the individual $ p_{\mathrm{T}} $ bins. The binning within each $ p_{\mathrm{T}} $ bin corresponds to the $ m_\mathrm{SD} $ binning.

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Figure 7:
Unfolded and background subtracted jet mass distribution at the particle level for each $ p_{\mathrm{T}}^\mathrm{ptcl} $ bin obtained with $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $. The fiducial measurement region at the particle level includes the $ N_{2}^{(1)} < $ 0.2 selection. The unfolded data are shown as black markers with the total uncertainty indicated as error bar. The blue lines show the predictions from MadGraph-5_aMC@NLO+PYTHIA at LO with MLM matching and supplemented by NLO QCD and EW corrections with the statistical uncertainty indicated as error bar. The theory uncertainty is the sum in quadrature of parton shower variations and the hadronization model uncertainty, as well as the uncertainties in the QCD and EW corrections, and is drawn as a light shaded blue band. The purely perturbative uncertainties are overlaid as a dark, shaded blue band.

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Figure 7-a:
Unfolded and background subtracted jet mass distribution at the particle level for each $ p_{\mathrm{T}}^\mathrm{ptcl} $ bin obtained with $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $. The fiducial measurement region at the particle level includes the $ N_{2}^{(1)} < $ 0.2 selection. The unfolded data are shown as black markers with the total uncertainty indicated as error bar. The blue lines show the predictions from MadGraph-5_aMC@NLO+PYTHIA at LO with MLM matching and supplemented by NLO QCD and EW corrections with the statistical uncertainty indicated as error bar. The theory uncertainty is the sum in quadrature of parton shower variations and the hadronization model uncertainty, as well as the uncertainties in the QCD and EW corrections, and is drawn as a light shaded blue band. The purely perturbative uncertainties are overlaid as a dark, shaded blue band.

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Figure 7-b:
Unfolded and background subtracted jet mass distribution at the particle level for each $ p_{\mathrm{T}}^\mathrm{ptcl} $ bin obtained with $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $. The fiducial measurement region at the particle level includes the $ N_{2}^{(1)} < $ 0.2 selection. The unfolded data are shown as black markers with the total uncertainty indicated as error bar. The blue lines show the predictions from MadGraph-5_aMC@NLO+PYTHIA at LO with MLM matching and supplemented by NLO QCD and EW corrections with the statistical uncertainty indicated as error bar. The theory uncertainty is the sum in quadrature of parton shower variations and the hadronization model uncertainty, as well as the uncertainties in the QCD and EW corrections, and is drawn as a light shaded blue band. The purely perturbative uncertainties are overlaid as a dark, shaded blue band.

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Figure 7-c:
Unfolded and background subtracted jet mass distribution at the particle level for each $ p_{\mathrm{T}}^\mathrm{ptcl} $ bin obtained with $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $. The fiducial measurement region at the particle level includes the $ N_{2}^{(1)} < $ 0.2 selection. The unfolded data are shown as black markers with the total uncertainty indicated as error bar. The blue lines show the predictions from MadGraph-5_aMC@NLO+PYTHIA at LO with MLM matching and supplemented by NLO QCD and EW corrections with the statistical uncertainty indicated as error bar. The theory uncertainty is the sum in quadrature of parton shower variations and the hadronization model uncertainty, as well as the uncertainties in the QCD and EW corrections, and is drawn as a light shaded blue band. The purely perturbative uncertainties are overlaid as a dark, shaded blue band.

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Figure 8:
Correlation matrix of the maximum likelihood estimators of the signal strength modifiers \POI with inclusion of an $ N_{2}^{(1)} < $ 0.2 selection in the particle-level definition. The plot shows the matrix from the fit to the data using $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $. The grey dashed lines indicate the individual $ p_{\mathrm{T}}^\mathrm{ptcl} $ bins. The binning within each $ p_{\mathrm{T}}^\mathrm{ptcl} $ vs. $ p_{\mathrm{T}}^\mathrm{ptcl} $ bin corresponds to the $ m_\mathrm{SD}^\mathrm{ptcl} $ vs. $ m_\mathrm{SD}^\mathrm{ptcl} $ binning.

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Figure 9:
Unfolded and background subtracted jet mass distribution at the particle level for $ p_{\mathrm{T}}^\mathrm{ptcl} > $ 650 GeV, obtained by summing all $ p_{\mathrm{T}}^\mathrm{ptcl} $ bins. The results are obtained using the $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ tagger without (left) and with (right) the $ N_{2}^{(1)} < $ 0.2 selection at the particle level. The unfolded data are shown as black markers. The blue lines show the predictions from MadGraph-5_aMC@NLO+PYTHIA at LO with MLM matching and supplemented by NLO QCD and EW corrections. The theory uncertainty is the sum in quadrature of parton shower variations and the hadronization model uncertainty, as well as the uncertainties in the QCD and EW corrections, and is drawn as a light shaded blue band. The purely perturbative uncertainties are overlaid as a dark, shaded blue band. Predictions with different values of the W boson mass generated with PYTHIA at LO and scaled to match the total number of events in data are overlaid.

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Figure 9-a:
Unfolded and background subtracted jet mass distribution at the particle level for $ p_{\mathrm{T}}^\mathrm{ptcl} > $ 650 GeV, obtained by summing all $ p_{\mathrm{T}}^\mathrm{ptcl} $ bins. The results are obtained using the $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ tagger without (left) and with (right) the $ N_{2}^{(1)} < $ 0.2 selection at the particle level. The unfolded data are shown as black markers. The blue lines show the predictions from MadGraph-5_aMC@NLO+PYTHIA at LO with MLM matching and supplemented by NLO QCD and EW corrections. The theory uncertainty is the sum in quadrature of parton shower variations and the hadronization model uncertainty, as well as the uncertainties in the QCD and EW corrections, and is drawn as a light shaded blue band. The purely perturbative uncertainties are overlaid as a dark, shaded blue band. Predictions with different values of the W boson mass generated with PYTHIA at LO and scaled to match the total number of events in data are overlaid.

png pdf
Figure 9-b:
Unfolded and background subtracted jet mass distribution at the particle level for $ p_{\mathrm{T}}^\mathrm{ptcl} > $ 650 GeV, obtained by summing all $ p_{\mathrm{T}}^\mathrm{ptcl} $ bins. The results are obtained using the $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ tagger without (left) and with (right) the $ N_{2}^{(1)} < $ 0.2 selection at the particle level. The unfolded data are shown as black markers. The blue lines show the predictions from MadGraph-5_aMC@NLO+PYTHIA at LO with MLM matching and supplemented by NLO QCD and EW corrections. The theory uncertainty is the sum in quadrature of parton shower variations and the hadronization model uncertainty, as well as the uncertainties in the QCD and EW corrections, and is drawn as a light shaded blue band. The purely perturbative uncertainties are overlaid as a dark, shaded blue band. Predictions with different values of the W boson mass generated with PYTHIA at LO and scaled to match the total number of events in data are overlaid.
Tables

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Table 1:
Summary of signal ($ \varepsilon_{\mathrm{W}\!+\!\text{jets}} $) and background ($ \varepsilon_{\text{bkg}} $) efficiencies in the different signal (pass) and control (fail) regions for the $ N_{2}^{(1),\mathrm{DDT}} $ and $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ taggers in the fully-hadronic $ \mathrm{W}(\mathrm{q}\overline{\mathrm{q}}') $+jets selection. The efficiencies are estimated from simulation and averaged over the years of data-taking.

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Table 2:
Fiducial $ \mathrm{W}(\mathrm{q}\overline{\mathrm{q}}') $+jets cross sections predicted by MadGraph-5_aMC@NLO+PYTHIA at NLO QCD with EW corrections after different stages of the particle-level selection. The given uncertainty is the sum in quadrature of parton shower variations and the hadronization model uncertainty, as well as the uncertainties in the QCD and EW corrections.

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Table 3:
Summary of systematic uncertainties and their impact on the measurement in the 650 $ < p_{\mathrm{T}}^\mathrm{ptcl} < $ 800 GeV bin and two representative $ m_\mathrm{SD}^\mathrm{ptcl} $ bins, using the $ P^{\mathrm{PN, DDT}}_{\mathrm{W vs. QCD}} $ tagger.

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Table 4:
Summary of systematic uncertainties and their impact on the $ m_{\mathrm{W}} $ measurement.
Summary
The jet mass of W bosons decaying to a quark-antiquark pair is measured in W+jets events from proton-proton collisions at the LHC at a center-of-mass energy $ \sqrt{s} = $ 13 TeV. The data were collected by the CMS experiment in 2016--2018 and correspond to an integrated luminosity of 138 fb$ ^{-1} $. The measurement considers W bosons with large momenta, resulting in strongly collimated decay products that are reconstructed in a single large-radius jet. Jets initiated by W bosons with a characteristic two-prong substructure are distinguished from single light-flavor quark and gluon-initiated background jets using a selection based on the substructure of these jets. The jet mass is measured using the soft-drop (SD) algorithm, which suppresses soft and wide-angle radiation that can obscure the resonance peak of the W boson at its rest mass. We report the first measurement of the double-differential cross section in bins of the jet transverse momentum and SD mass. The unfolded data are found to be in agreement with predictions from simulations at leading order with additional partons added to the matrix element computation, supplemented by next-to-leading order quantum chromodynamics and electroweak corrections. A W boson mass of 80.83 $ \pm $ 0.55 GeV is obtained, achieving the smallest uncertainty available today from an all-jets final state at a hadron collider.
References
1 ALEPH, DELPHI, L3, OPAL, SLD, LEP Electroweak Working Group, SLD Electroweak Group, SLD Heavy Flavour Group Electroweak measurements in electron-positron collisions at W-boson-pair energies at LEP Phys. Rept. 532 (2013) 119 1302.3415
2 D0 Collaboration Measurement of the W boson mass with the D0 detector PRL 108 (2012) 151804 1203.0293
3 CDF Collaboration High-precision measurement of the W boson mass with the CDF II detector Science 376 (2022) 170
4 ATLAS Collaboration Measurement of the W-boson mass in pp collisions at $ \sqrt{s} = $ 7 TeV with the ATLAS detector EPJC 78 (2018) 110 1701.07240
5 LHCb Collaboration Measurement of the W boson mass JHEP 01 (2022) 036 2109.01113
6 ATLAS Collaboration Measurement of the W-boson mass and width with the ATLAS detector using proton-proton collisions at $ \sqrt{s} = $ 7 TeV EPJC 84 (2024) 1309 2403.15085
7 CMS Collaboration High-precision measurement of the W boson mass with the CMS experiment at the LHC Submitted to Nature, 2024 CMS-SMP-23-002
2412.13872
8 Particle Data Group Review of particle physics PRD 110 (2024) 030001
9 S. Marzani, G. Soyez, and M. Spannowsky Looking inside jets: an introduction to jet substructure and boosted-object phenomenology ISBN 97 (2019) 8 volume 958. Springer
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. Rept. 841 (2020) 1 1709.04464
11 R. Kogler et al. Jet substructure at the Large Hadron Collider Rev. Mod. Phys. 91 (2019) 045003 1803.06991
12 R. Kogler Advances in jet substructure at the LHC: Algorithms, measurements and searches for new physical phenomena ISBN 97 (2021) 8 Springer Cham
13 UA2 Collaboration Search for decays of the $ {\mathrm{W}^\pm} $ and $ {\mathrm{Z}} $ bosons into quark-anti-quark pairs PLB 186 (1987) 452
14 CDF Collaboration Observation of hadronic W decays in $ t\bar{t} $ events with the Collider Detector at Fermilab PRL 80 (1998) 5720 hep-ex/9711004
15 M. Freytsis et al. Prospects for a measurement of the W boson mass in the all-jets final state at hadron colliders JHEP 02 (2019) 003 1807.07454
16 M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam Towards an understanding of jet substructure JHEP 09 (2013) 029 1307.0007
17 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
18 A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler Soft drop JHEP 05 (2014) 146 1402.2657
19 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
20 ATLAS Collaboration Jet mass and substructure of inclusive jets in $ \sqrt{s}= $ 7 TeV pp collisions with the ATLAS experiment JHEP 05 (2012) 128 1203.4606
21 ATLAS Collaboration Measurement of the soft-drop jet mass in pp collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector PRL 121 (2018) 092001 1711.08341
22 CMS Collaboration Measurements of the differential jet cross section as a function of the jet mass in dijet events from proton-proton collisions at $ \sqrt{s}= $ 13 TeV JHEP 11 (2018) 113 CMS-SMP-16-010
1807.05974
23 CMS Collaboration Measurement of the jet mass in highly boosted $ \mathrm{t} \overline{\mathrm{t}} $ events from pp collisions at $ \sqrt{s}= $ 8 TeV EPJC 77 (2017) 467 CMS-TOP-15-015
1703.06330
24 CMS Collaboration Measurement of the jet mass distribution and top quark mass in hadronic decays of boosted top quarks in pp collisions at $ \sqrt{s} = $ 13 TeV PRL 124 (2020) 202001 CMS-TOP-19-005
1911.03800
25 CMS Collaboration Measurement of the differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross section as a function of the jet mass and extraction of the top quark mass in hadronic decays of boosted top quarks EPJC 83 (2023) 560 CMS-TOP-21-012
2211.01456
26 ATLAS Collaboration Measurement of the jet mass in high transverse momentum $ \mathrm{Z}(\to \mathrm{b}\overline{\mathrm{b}})\gamma $ production at $ \sqrt{s}= $ 13 TeV using the ATLAS detector PLB 812 (2021) 135991 1907.07093
27 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064 CMS-PRF-21-001
2309.05466
28 CMS Collaboration Description and performance of track and primary-vertex reconstruction with the CMS tracker JINST 9 (2014) P10009 CMS-TRK-11-001
1405.6569
29 CMS Tracker Group The CMS Phase-1 pixel detector upgrade JINST 16 (2021) P02027 2012.14304
30 CMS Collaboration Track impact parameter resolution for the full pseudo rapidity coverage in the 2017 dataset with the CMS Phase-1 pixel detector CMS Detector Performance Note CMS-DP-2020-049, 2020
CDS
31 CMS Collaboration 2017 tracking performance plots CMS Detector Performance Note CMS-DP-2017-015, 2017
CDS
32 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
33 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
34 CMS Collaboration Performance of the CMS high-level trigger during LHC Run 2 JINST 19 (2024) P11021 CMS-TRG-19-001
2410.17038
35 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
36 CMS Collaboration Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015
CDS
37 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
38 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
39 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
40 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\mathrm{T}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
41 M. Cacciari, G. P. Salam, and G. Soyez FASTJET user manual EPJC 72 (2012) 1896 1111.6097
42 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
43 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
44 C. Bierlich et al. A comprehensive guide to the physics and usage of PYTHIA8.3 SciPost Phys. Codeb. 2022 (2022) 8 2203.11601
45 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
46 B. Andersson, G. Gustafson, G. Ingelman, and T. Sjöstrand Parton fragmentation and string dynamics Phys. Rept. 97 (1983) 31
47 T. Sjöstrand The merging of jets PLB 142 (1984) 420
48 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
49 J. Bellm et al. HERWIG 7.0/ HERWIG++ 3.0 release note EPJC 76 (2016) 196 1512.01178
50 CMS Collaboration Development and validation of HERWIG 7 tunes from CMS underlying-event measurements EPJC 81 (2021) 312 CMS-GEN-19-001
2011.03422
51 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
52 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
53 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
54 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
55 S. Frixione, G. Ridolfi, and P. Nason A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction JHEP 09 (2007) 126 0707.3088
56 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
57 GEANT4 Collaboration GEANT 4---a simulation toolkit NIM A 506 (2003) 250
58 CMS Collaboration Search for boosted Higgs boson decay to a charm quark-antiquark pair in proton-proton collisions at $ \sqrt{s}= $ 13 TeV PRL 131 (2023) 041801 CMS-HIG-21-012
2211.14181
59 J. M. Lindert et al. Precise predictions for V+jets dark matter backgrounds EPJC 77 (2017) 829 1705.04664
60 CMS Collaboration Measurement of normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ cross sections in the dilepton channel from $ {\mathrm{p}\mathrm{p}} $ collisions at $ \sqrt{s}= $ 13 TeV JHEP 04 (2018) 060 CMS-TOP-16-007
1708.07638
61 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
62 Y. L. Dokshitzer, G. D. Leder, S. Moretti, and B. R. Webber Better jet clustering algorithms JHEP 08 (1997) 001 hep-ph/9707323
63 CMS Collaboration Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques JINST 15 (2020) P06005 CMS-JME-18-002
2004.08262
64 I. Moult, L. Necib, and J. Thaler New angles on energy correlation functions JHEP 12 (2016) 153 1609.07483
65 A. J. Larkoski, G. P. Salam, and J. Thaler Energy correlation functions for jet substructure JHEP 06 (2013) 108 1305.0007
66 H. Qu and L. Gouskos Jet tagging via particle clouds PRD 101 (2020) 056019 1902.08570
67 Y. Wang et al. Dynamic graph CNN for learning on point clouds ACM Trans. Graph. 38 (2019) 12 1801.07829
68 CMS Collaboration Identification of highly Lorentz-boosted heavy particles using graph neural networks and new mass decorrelation techniques CMS Detector Performance Note CMS-DP-2020-002, 2020
CDS
69 J. Dolen et al. Thinking outside the ROCs: Designing decorrelated taggers (DDT) for jet substructure JHEP 05 (2016) 156 1603.00027
70 CMS Collaboration Search for low mass vector resonances decaying into quark-antiquark pairs in proton-proton collisions at $ \sqrt{s}= $ 13 TeV PRD 100 (2019) 112007 CMS-EXO-18-012
1909.04114
71 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
72 CMS Collaboration The CMS statistical analysis and combination tool: combine Comput. Softw. Big Sci. 8 (2024) 19 CMS-CAT-23-001
2404.06614
73 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
74 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s}= $ 13 TeV CMS Physics Analysis Summary, 2018
link
CMS-PAS-LUM-17-004
75 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s}= $ 13 TeV CMS Physics Analysis Summary, 2019
link
CMS-PAS-LUM-18-002
76 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
77 M. Rubin, G. P. Salam, and S. Sapeta Giant QCD K-factors beyond NLO JHEP 09 (2010) 084 1006.2144
78 S. Schmitt TUnfold, an algorithm for correcting migration effects in high energy physics JINST 7 (2012) T10003 1205.6201
79 A. N. Tikhonov Solution of incorrectly formulated problems and the regularization method Soviet Math. Dokl. 4 (1963) 1035
80 CMS Collaboration HEPData record for this analysis link
81 D. Britzger The linear template fit EPJC 82 (2022) 731 2112.01548
82 S. Dittmaier and M. Huber Radiative corrections to the neutral-current Drell-Yan process in the standard model and its minimal supersymmetric extension JHEP 01 (2010) 060 0911.2329
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