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CMS-PAS-HIG-20-001
Simplified template cross section measurements of Higgs boson produced in association with vector bosons in the H $ \rightarrow \mathrm{b\bar{b}} $ decay channel in proton-proton collisions at $ \sqrt{s}= $ 13 TeV
Abstract: Measurements of simplified template cross sections and inclusive signal strengths are presented for the production of a 125 GeV Higgs boson decaying into a pair of b quarks, produced in association with a vector boson. The analysis is based on the leptonic decays of the W and Z bosons, resulting in final states with 0, 1, or 2 electrons or muons. The Higgs boson candidate is reconstructed either from two resolved b-tagged jets or from a single large-radius jet containing the decay products of two b jets at large momenta. A sample of proton-proton collisions at $ \sqrt{s}= $ 13 TeV, collected by the CMS experiment between 2016 and 2018 and corresponding to a total integrated luminosity of 138 fb$ ^{-1} $, is analyzed.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Overview of the STXS bins for the three VH production modes. The vertical axis reflects the vector boson $ p_{\text{T}}(\text{V}) $ bin ranges and the horizontal axis the number of additional jets. The general bin definitions are indicated by the green boxes. No distinction is made between gluon and quark-induced production modes in the analysis. As mentioned in Section 5, some STXS bins are not explicitly targeted by the analysis: contributions from these bins in the analysis categories are fixed to their SM expectations.

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Figure 2:
Dijet invariant mass distributions in samples of simulated $ \text{VH}( \mathrm{b} \overline{\mathrm{b}} ) $ events passing the 2-lepton channel requirements without any additional recoiling jet. Distributions are shown before (red triangles) and after (blue squars) the energy corrections from the b jet regression are applied, and when a kinematic fit procedure (green circles) is used on top of them. The fitted mean and width of the core of the distribution, obtained by fitting a Bukin function, are displayed on the figure.

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Figure 3:
Distribution of the HFDNN scores in the 0-lepton (left) and 1-lepton (right) heavy-flavor control regions for the 2018 data set, after the fit to data. The output nodes target enrichment in the V+light-flavor (first bin), V+c (second bin), V+b (third bin), single-top (fourth bin), and $ { \mathrm{t} \overline{\mathrm{t}} } $ (fifth bin) backgrounds.

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Figure 3-a:
Distribution of the HFDNN scores in the 0-lepton (left) and 1-lepton (right) heavy-flavor control regions for the 2018 data set, after the fit to data. The output nodes target enrichment in the V+light-flavor (first bin), V+c (second bin), V+b (third bin), single-top (fourth bin), and $ { \mathrm{t} \overline{\mathrm{t}} } $ (fifth bin) backgrounds.

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Figure 3-b:
Distribution of the HFDNN scores in the 0-lepton (left) and 1-lepton (right) heavy-flavor control regions for the 2018 data set, after the fit to data. The output nodes target enrichment in the V+light-flavor (first bin), V+c (second bin), V+b (third bin), single-top (fourth bin), and $ { \mathrm{t} \overline{\mathrm{t}} } $ (fifth bin) backgrounds.

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Figure 4:
Contributions of the different STXS signal bins as a fraction of the total signal yield in each SR (upper). Correlation matrix of the parameters of interest in the STXS fit (lower).

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Figure 4-a:
Contributions of the different STXS signal bins as a fraction of the total signal yield in each SR (upper). Correlation matrix of the parameters of interest in the STXS fit (lower).

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Figure 4-b:
Contributions of the different STXS signal bins as a fraction of the total signal yield in each SR (upper). Correlation matrix of the parameters of interest in the STXS fit (lower).

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Figure 5:
Signal strengths for the 0-lepton, 1-lepton, and 2-lepton-lepton channels, as well as the combined signal strength (left). Signal strengths for the ZH and WH production modes (right). All results combine the 2016, 2017 and 2018 data.

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Figure 5-a:
Signal strengths for the 0-lepton, 1-lepton, and 2-lepton-lepton channels, as well as the combined signal strength (left). Signal strengths for the ZH and WH production modes (right). All results combine the 2016, 2017 and 2018 data.

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Figure 5-b:
Signal strengths for the 0-lepton, 1-lepton, and 2-lepton-lepton channels, as well as the combined signal strength (left). Signal strengths for the ZH and WH production modes (right). All results combine the 2016, 2017 and 2018 data.

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Figure 6:
STXS signal strengths from the analysis of the 2016--2018 data (left). Measured values of $ \sigma\mathcal{B} $ in the same STXS bins as for the signal strengths, combining all years (right). In the bottom panel, the ratio of the observed results with associated uncertainties to the SM expectations is shown. If the observed signal strength for a given STXS bin is negative, no value is quoted for $ \sigma\mathcal{B} $.

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Figure 6-a:
STXS signal strengths from the analysis of the 2016--2018 data (left). Measured values of $ \sigma\mathcal{B} $ in the same STXS bins as for the signal strengths, combining all years (right). In the bottom panel, the ratio of the observed results with associated uncertainties to the SM expectations is shown. If the observed signal strength for a given STXS bin is negative, no value is quoted for $ \sigma\mathcal{B} $.

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Figure 6-b:
STXS signal strengths from the analysis of the 2016--2018 data (left). Measured values of $ \sigma\mathcal{B} $ in the same STXS bins as for the signal strengths, combining all years (right). In the bottom panel, the ratio of the observed results with associated uncertainties to the SM expectations is shown. If the observed signal strength for a given STXS bin is negative, no value is quoted for $ \sigma\mathcal{B} $.

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Figure 7:
Post-fit distributions of the DNN discriminant in the 250 $ < p_{\text{T}}(\text{V}) < $ 400 GeV category of the 0-lepton (left), 1-lepton (center), 2-lepton (right) channels using the 2018 data set. The background contributions after the global likelihood fit are shown as filled histograms. The Higgs boson signal is also shown as a filled histogram, and is normalized to the signal strength shown in Fig. 12. The hatched band indicates the combined statistical and systematic uncertainty in the sum of the signal and background templates. The ratio of the data to the sum of the fitted signal and background is shown in the lower panel. The distributions that enter the maximum-likelihood fit use the same binning as shown here.

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Figure 7-a:
Post-fit distributions of the DNN discriminant in the 250 $ < p_{\text{T}}(\text{V}) < $ 400 GeV category of the 0-lepton (left), 1-lepton (center), 2-lepton (right) channels using the 2018 data set. The background contributions after the global likelihood fit are shown as filled histograms. The Higgs boson signal is also shown as a filled histogram, and is normalized to the signal strength shown in Fig. 12. The hatched band indicates the combined statistical and systematic uncertainty in the sum of the signal and background templates. The ratio of the data to the sum of the fitted signal and background is shown in the lower panel. The distributions that enter the maximum-likelihood fit use the same binning as shown here.

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Figure 7-b:
Post-fit distributions of the DNN discriminant in the 250 $ < p_{\text{T}}(\text{V}) < $ 400 GeV category of the 0-lepton (left), 1-lepton (center), 2-lepton (right) channels using the 2018 data set. The background contributions after the global likelihood fit are shown as filled histograms. The Higgs boson signal is also shown as a filled histogram, and is normalized to the signal strength shown in Fig. 12. The hatched band indicates the combined statistical and systematic uncertainty in the sum of the signal and background templates. The ratio of the data to the sum of the fitted signal and background is shown in the lower panel. The distributions that enter the maximum-likelihood fit use the same binning as shown here.

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Figure 7-c:
Post-fit distributions of the DNN discriminant in the 250 $ < p_{\text{T}}(\text{V}) < $ 400 GeV category of the 0-lepton (left), 1-lepton (center), 2-lepton (right) channels using the 2018 data set. The background contributions after the global likelihood fit are shown as filled histograms. The Higgs boson signal is also shown as a filled histogram, and is normalized to the signal strength shown in Fig. 12. The hatched band indicates the combined statistical and systematic uncertainty in the sum of the signal and background templates. The ratio of the data to the sum of the fitted signal and background is shown in the lower panel. The distributions that enter the maximum-likelihood fit use the same binning as shown here.

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Figure 8:
Distributions of signal, background, and observed data event yields sorted into bins of similar signal-to-background ratio, as given by the result of the fit to the multivariate discriminants in the resolved and boosted categories. All events in the signal regions of the 2016-2018 data set are included. The red histogram indicates the Higgs boson signal assuming SM yields ($ \mu = $ 1) and the sum of all backgrounds is given by the gray histogram. The bottom panel shows the ratio of the observed data to the background, with the total uncertainty in the background indicated by the gray hatching. The red line indicates the sum of signal plus background contribution, divided by the background.

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Figure 9:
Results of the VZ, Z $ \rightarrow \mathrm{b\bar{b}} $ channel analysis using the full Run 2 dataset for both the WZ and ZZ production modes.

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Figure 10:
Dijet invariant mass distributions, where the events are weighted according to S/(S+B), combining all channels and data-taking years. The distributions are evaluated after the fit to data, and therefore the signal component is scaled by the fitted signal strength $ \mu=$ 0.34 $\pm $ 0.34. Apart from the VH and VZ contributions, all other background processes are also shown (left) or subtracted (right), to show the invariant mass peaks of the VZ, Z $ \rightarrow \mathrm{b\bar{b}} $ and VH, H $ \rightarrow \mathrm{b\bar{b}} $ resonances.

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Figure 10-a:
Dijet invariant mass distributions, where the events are weighted according to S/(S+B), combining all channels and data-taking years. The distributions are evaluated after the fit to data, and therefore the signal component is scaled by the fitted signal strength $ \mu=$ 0.34 $\pm $ 0.34. Apart from the VH and VZ contributions, all other background processes are also shown (left) or subtracted (right), to show the invariant mass peaks of the VZ, Z $ \rightarrow \mathrm{b\bar{b}} $ and VH, H $ \rightarrow \mathrm{b\bar{b}} $ resonances.

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Figure 10-b:
Dijet invariant mass distributions, where the events are weighted according to S/(S+B), combining all channels and data-taking years. The distributions are evaluated after the fit to data, and therefore the signal component is scaled by the fitted signal strength $ \mu=$ 0.34 $\pm $ 0.34. Apart from the VH and VZ contributions, all other background processes are also shown (left) or subtracted (right), to show the invariant mass peaks of the VZ, Z $ \rightarrow \mathrm{b\bar{b}} $ and VH, H $ \rightarrow \mathrm{b\bar{b}} $ resonances.
Tables

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Table 1:
Definition of the SR and CRs for the resolved selection in the 0-lepton channel. The jet with the second largest b tagging score is required to pass the loose working point in all regions.

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Table 2:
Definition of the SR and CRs for the resolved selection of the 1-lepton channel.

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Table 3:
Definition of the SR and CRs for the resolved selection in the 2-lepton channel.

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Table 4:
Input variables used for the DNN training in the resolved signal regions of the 0-lepton, 1-lepton, and 2-lepton channels. Reconstructed jets are classified as leading and sub-leading based on their b tag score.

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Table 5:
Selection criteria for the SR and CRs in the boosted topology, given separately for the three analysis channels.

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Table 6:
Discriminating variables fitted in each signal and control region.

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Table 7:
The cross section values for VH process in STXS 1.2 scheme multiplied by the branching fraction of V $ \to $ leptons and H $ \to \mathrm{b\bar{b}} $. The SM predictions for each bin are calculated using the inclusive values reported in YR4 [35].

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Table 8:
Impacts of different nuisance parameter groups on the inclusive $ \text{VH}( \mathrm{b} \overline{\mathrm{b}} ) $ signal strength.
Summary
Measurements of the SM Higgs boson production cross section have been presented, where the Higgs boson is produced in association with a vector boson and decays to bottom quark pairs, and where the vector bosons decay leptonically in either electron or muon channels. Proton-proton collision data collected by the CMS experiment during 2016, 2017, and 2018 at $ \sqrt{s}=$ 13 TeV are used, corresponding to an integrated luminosity of 138 fb$ ^{-1} $. Five decay modes have been analysed, and for each mode both a resolved and merged jet topologies are exploited. An additional subcategorization in the transverse momentum of the vector boson and the number of additional jets in the event is applied to maximize the sensitivity to the different simplified template cross section bins. The overall signal strength, combining all analysis categories, is found to be $ \mu =$ 0.58 $ \pm $ 0.18. This corresponds to an observed (expected) significance of 3.3 standard deviations (5.2 standard deviations).
References
1 ATLAS Collaboration Observation of a new particle in the search for the standard model Higgs boson with the ATLAS detector at the LHC PLB 716 (2012) 1 1207.7214
2 CMS Collaboration Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC PLB 716 (2012) 30 CMS-HIG-12-028
1207.7235
3 CMS Collaboration Observation of a new boson with mass near 125 GeV in pp collisions at $ \sqrt{s} $ = 7 and 8 TeV JHEP 06 (2013) 081 CMS-HIG-12-036
1303.4571
4 F. Englert and R. Brout Broken symmetry and the mass of gauge vector mesons PRL 13 (1964) 321
5 P. W. Higgs Broken symmetries, massless particles and gauge fields PL 12 (1964) 132
6 P. W. Higgs Broken symmetries and the masses of gauge bosons PRL 13 (1964) 508
7 G. S. Guralnik, C. R. Hagen, and T. W. B. Kibble Global conservation laws and massless particles PRL 13 (1964) 585
8 P. W. Higgs Spontaneous symmetry breakdown without massless bosons PR 145 (1966) 1156
9 T. W. B. Kibble Symmetry breaking in non-Abelian gauge theories PR 155 (1967) 1554
10 ATLAS Collaboration Measurement of Higgs boson production in the diphoton decay channel in pp collisions at center-of-mass energies of 7 and 8 TeV with the ATLAS detector PRD 90 (2014) 112015 1408.7084
11 CMS Collaboration Observation of the diphoton decay of the Higgs boson and measurement of its properties EPJC 74 (2014) 3076 CMS-HIG-13-001
1407.0558
12 ATLAS Collaboration Measurements of Higgs boson production and couplings in the four-lepton channel in pp collisions at center-of-mass energies of 7 and 8 TeV with the ATLAS detector PRD 91 (2015) 012006 1408.5191
13 CMS Collaboration Measurement of the properties of a Higgs boson in the four-lepton final state PRD 89 (2014) 092007 CMS-HIG-13-002
1312.5353
14 ATLAS Collaboration Observation and measurement of Higgs boson decays to WW$ ^* $ with the ATLAS detector PRD 92 (2015) 012006 1412.2641
15 ATLAS Collaboration Study of (W/Z)H production and Higgs boson couplings using H $ \rightarrow $ WW$ ^{\ast} $ decays with the ATLAS detector JHEP 08 (2015) 137 1506.06641
16 CMS Collaboration Measurement of Higgs boson production and properties in the WW decay channel with leptonic final states JHEP 01 (2014) 096 CMS-HIG-13-023
1312.1129
17 ATLAS Collaboration Evidence for the Higgs boson Yukawa coupling to tau leptons with the ATLAS detector JHEP 04 (2015) 117 1501.04943
18 CMS Collaboration Evidence for the 125 GeV Higgs boson decaying to a pair of $ \tau $ leptons JHEP 05 (2014) 104 CMS-HIG-13-004
1401.5041
19 CMS Collaboration Observation of Higgs boson decays to a pair of tau leptons PLB 779 (2017) 283 CMS-HIG-16-043
1708.00373
20 CMS Collaboration Measurements of properties of the Higgs boson decaying to a W boson pair in pp collisions at $ \sqrt{s}= $ 13 TeV PLB 791 (2019) 96 CMS-HIG-16-042
1806.05246
21 ATLAS Collaboration Observation of $ H \rightarrow b\bar{b} $ decays and $ VH $ production with the ATLAS detector PL 786 (2018) 59 1808.08238
22 CMS Collaboration Observation of $ \mathrm{t\overline{t}} $H production PRL 120 (2018) 231801 CMS-HIG-17-035
1804.02610
23 ATLAS Collaboration Observation of Higgs boson production in association with a top quark pair at the LHC with the ATLAS detector PLB 784 (2018) 173 1806.00425
24 ATLAS Collaboration Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at $ \sqrt{s}= $ 7 and 8 TeV in the ATLAS experiment EPJC 76 (2016) 6 1507.04548
25 CMS Collaboration Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 $ \,\text {TeV} $ EPJC 75 (2015) 212 CMS-HIG-14-009
1412.8662
26 CMS Collaboration Study of the mass and spin-parity of the Higgs boson candidate via its decays to Z boson pairs PRL 110 (2013) 081803 CMS-HIG-12-041
1212.6639
27 ATLAS Collaboration Evidence for the spin-0 nature of the Higgs boson using ATLAS data PLB 726 (2013) 120 1307.1432
28 ATLAS and CMS Collaborations Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at $ \sqrt{s}= $ 7 and 8 TeV JHEP 08 (2016) 045 1606.02266
29 ATLAS and CMS Collaborations Combined measurement of the Higgs boson mass in pp collisions at $ \sqrt{s}= $ 7 and 8 TeV with the ATLAS and CMS experiments PRL 114 (2015) 191803 1503.07589
30 CMS Collaboration Measurements of properties of the Higgs boson decaying into the four-lepton final state in pp collisions at $ \sqrt{s}= $ 13 TeV JHEP 11 (2017) 047 CMS-HIG-16-041
1706.09936
31 ATLAS Collaboration Combined measurement of differential and total cross sections in the $ H \rightarrow \gamma \gamma $ and the $ H \rightarrow ZZ^* \rightarrow 4\ell $ decay channels at $ \sqrt{s} = $ 13 TeV with the ATLAS detector Phys. Lett. B 786 ), 2018
link
1805.10197
32 ATLAS Collaboration Measurement of the Higgs boson mass in the $ H\rightarrow ZZ^* \rightarrow 4\ell $ and $ H \rightarrow \gamma\gamma $ channels with $ \sqrt{s}= $ 13 TeV $ pp $ collisions using the ATLAS detector PLB 784 (2018) 345 1806.00242
33 CMS Collaboration Evidence for Higgs boson decay to a pair of muons 74 ), 2021
JHEP 01 (2021) 148
CMS-HIG-19-006
2009.04363
34 CMS Collaboration Observation of Higgs boson decay to bottom quarks PRL 121 (2018) 121801 CMS-HIG-18-016
1808.08242
35 LHC Higgs Cross Section Working Group Collaboration Handbook of LHC Higgs Cross Sections: 4. Deciphering the Nature of the Higgs sector technical report, 2016
link
1610.07922
36 J. R. Andersen et al. Les Houches 2015: Physics at TeV Colliders Standard Model Working Group Report in 9th Les Houches Workshop on Physics at TeV Colliders (PhysTeV) Les Houches, France, June 1-19,, 2015
link
1605.04692
37 ATLAS Collaboration Measurement of VH, $ \mathrm{H}\to \mathrm{b}\overline{\mathrm{b}} $ production as a function of the vector-boson transverse momentum in 13 TeV pp collisions with the ATLAS detector JHEP 05 (2019) 141 1903.04618
38 ATLAS Collaboration Measurements of $ WH $ and $ ZH $ production in the $ H \rightarrow b\bar{b} $ decay channel in $ pp $ collisions at 13 TeV with the ATLAS detector EPJC 81 (2021) 178 2007.02873
39 ATLAS Collaboration Measurement of the associated production of a Higgs boson decaying into $ b $-quarks with a vector boson at high transverse momentum in $ pp $ collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector PLB 816 (2021) 136204 2008.02508
40 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
41 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
42 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
43 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
44 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
45 K. Hamilton, P. Nason, and G. Zanderighi MINLO: Multi-scale improved NLO JHEP 10 (2012) 155 1206.3572
46 G. Luisoni, P. Nason, C. Oleari, and F. Tramontano $ HW^{\pm} $/HZ + 0 and 1 jet at NLO with the POWHEG BOX interfaced to GoSam and their merging within MiNLO JHEP 10 (2013) 083 1306.2542
47 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
48 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
49 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
50 S. Kallweit et al. NLO QCD+EW predictions for V + jets including off-shell vector-boson decays and multijet merging JHEP 04 (2016) 021 1511.08692
51 G. Ferrera, M. Grazzini, and F. Tramontano Higher-order QCD effects for associated WH production and decay at the LHC JHEP 04 (2014) 039 1312.1669
52 G. Ferrera, M. Grazzini, and F. Tramontano Associated ZH production at hadron colliders: the fully differential NNLO QCD calculation PLB 740 (2015) 51 1407.4747
53 O. Brein, R. V. Harlander, and T. J. E. Zirke vh@nnlo - Higgs Strahlung at hadron colliders Comput. Phys. Commun. 184 (2013) 998 1210.5347
54 R. V. Harlander, S. Liebler, and T. Zirke Higgs Strahlung at the Large Hadron Collider in the 2-Higgs-Doublet Model JHEP 02 (2014) 023 1307.8122
55 A. Denner, S. Dittmaier, S. Kallweit, and A. M\"uck HAWK 2.0: A Monte Carlo program for Higgs production in vector-boson fusion and Higgs Strahlung at hadron colliders Comput. Phys. Commun. 195 (2015) 161 1412.5390
56 M. Czakon and A. Mitov Top++: A program for the calculation of the top-pair cross-section at hadron colliders Comput. Phys. Commun. 185 (2014) 2930 1112.5675
57 NNPDF Collaboration Parton distributions for the LHC Run II JHEP 04 (2015) 040 1410.8849
58 T. Sjostrand, S. Mrenna, and P. Z. Skands A brief introduction to PYTHIA 8.1 Comput. Phys. Commun. 178 (2008) 852 0710.3820
59 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016) 155 CMS-GEN-14-001
1512.00815
60 P. Skands, S. Carrazza, and J. Rojo Tuning PYTHIA 8.1: the Monash 2013 tune EPJC 74 (2014) 3024 1404.5630
61 GEANT4 Collaboration GEANT4--a simulation toolkit NIM A 506 (2003) 250
62 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
63 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
64 CMS Collaboration Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at $ \sqrt{s} $=8 TeV JINST P06005 ) 30, 2015
link
CMS-EGM-13-001
1502.02701
65 CMS Collaboration Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s} $=13 TeV JINST P06015 ) 30, 2018
link
CMS-MUO-16-001
1804.04528
66 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
67 CMS Collaboration Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV JINST 13 ), 2018
link
CMS-BTV-16-002
1712.07158
68 CMS Collaboration A deep neural network for simultaneous estimation of $ b $-jet energy and resolution Computing and Software for Big Science 4 (2020) 10 CMS-HIG-18-027
1912.06046
69 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\mathrm{T}} $ jet clustering algorithm %%CITATION = ARXIV:0802.1189, 2008
JHEP 04 (2008) 063
0802.1189
70 CMS Collaboration W and top tagging scale factors for Run 2 data CMS Detector Performance Note CMS-DP-2020-025, 2020
CDS
71 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
72 I. J. Goodfellow, Y. Bengio, and A. Courville Deep Learning MIT Press, Cambridge, MA, USA, 2016
link
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
CMS-PAS-LUM-17-004
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
CMS-PAS-LUM-18-002
CMS-PAS-LUM-18-002
76 R. Barlow Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences Manchester Physics Series,. ISBN~978-0-471-92295-7, 1989
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