CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-TOP-16-023
Measurement of the inclusive $\mathrm{t\overline{t}}$ cross section at $\sqrt{s} = $ 5.02 TeV
Abstract: The top quark pair production cross section is measured is measured in pp collisions at a center-of-mass energy $\sqrt{s} = $ 5.02 TeV. The analyzed data have been collected by the CMS experiment at the CERN LHC and correspond to an integrated luminosity of 27.4 pb$^{-1}$. The measurement is performed by analyzing events with at least one charged lepton. The measured cross section is $\sigma_{\rm{t\bar t}} = $ 69.5 $\pm$ 8.4 pb, in agreement with the expectation from the standard model. The impact of the presented measurement on the gluon distribution function is illustrated through a QCD analysis at next-to-next-to leading order.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Distribution of the $M( \mathrm{j,\, j' } )$ variable for $\ell $+jets events in 0b- (left), 1b- (center) and $\geq $ 2b- (right) jet categories. The distributions observed in the data are compared to the sum of the expectations for the signal and backgrounds prior to any fit. The QCD multijet background is estimated from data (cf. Section 5.1). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields.

png pdf
Figure 1-a:
Distribution of the $M( \mathrm{j,\, j' } )$ variable for $\ell $+jets events in the 0b-jet category. The distribution observed in the data is compared to the sum of the expectations for the signal and backgrounds prior to any fit. The QCD multijet background is estimated from data (cf. Section 5.1). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields.

png pdf
Figure 1-b:
Distribution of the $M( \mathrm{j,\, j' } )$ variable for $\ell $+jets events in the 1b-jet category. The distribution observed in the data is compared to the sum of the expectations for the signal and backgrounds prior to any fit. The QCD multijet background is estimated from data (cf. Section 5.1). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields.

png pdf
Figure 1-c:
Distribution of the $M( \mathrm{j,\, j' } )$ variable for $\ell $+jets events in the $\geq $ 2b-jet category. The distribution observed in the data is compared to the sum of the expectations for the signal and backgrounds prior to any fit. The QCD multijet background is estimated from data (cf. Section 5.1). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields.

png pdf
Figure 2:
Distribution of the $\text{min}\Delta R( \mathrm{ j,\, j' } )$ variable for $\ell $+jets events in 0b- (left), 1b- (center) and $\geq $ 2b- (right) jet categories. The distributions observed in the data are compared to the sum of the expectations for the signal and backgrounds prior to any fit. The QCD multijet background is estimated from data (cf. Section 5.1). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields.

png pdf
Figure 2-a:
Distribution of the $\text{min}\Delta R( \mathrm{ j,\, j' } )$ variable for $\ell $+jets events in the 0b-jet category. The distribution observed in the data is compared to the sum of the expectations for the signal and backgrounds prior to any fit. The QCD multijet background is estimated from data (cf. Section 5.1). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields.

png pdf
Figure 2-b:
Distribution of the $\text{min}\Delta R( \mathrm{ j,\, j' } )$ variable for $\ell $+jets events in the 1b-jet category. The distribution observed in the data is compared to the sum of the expectations for the signal and backgrounds prior to any fit. The QCD multijet background is estimated from data (cf. Section 5.1). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields.

png pdf
Figure 2-c:
Distribution of the $\text{min}\Delta R( \mathrm{ j,\, j' } )$ variable for $\ell $+jets events in the $\geq $ 2b- jet category. The distribution observed in the data is compared to the sum of the expectations for the signal and backgrounds prior to any fit. The QCD multijet background is estimated from data (cf. Section 5.1). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields.

png pdf
Figure 3:
Left: the 68% CL contour obtained from the scan of the likelihood, as function of the signal strength and the b-tagging scale factor in the l+jets analysis. The solid (dashed) contours represent the contours observed in data (expected from simulation). The solid (hollow) point represents the observed fit result (SM expectation). Right: summary of the signal strengths separately obtained in the $\mu$+jets and the e+jets channel, and after their combination in the $\ell$+jets channel. The results of the analysis from the distributions (Distr.) are compared to those of a cross-check analysis based on event counting (Count). The inner (outer) bars correspond to the statistical (total) uncertainty of the signal strengths. Bands represent the total uncertainty of the signal strengths in the $\ell$+jets channel.

png pdf
Figure 3-a:
The 68% CL contour obtained from the scan of the likelihood, as function of the signal strength and the b-tagging scale factor in the l+jets analysis. The solid (dashed) contours represent the contours observed in data (expected from simulation). The solid (hollow) point represents the observed fit result (SM expectation).

png pdf
Figure 3-b:
Summary of the signal strengths separately obtained in the $\mu$+jets and the e+jets channel, and after their combination in the $\ell$+jets channel. The results of the analysis from the distributions (Distr.) are compared to those of a cross-check analysis based on event counting (Count). The inner (outer) bars correspond to the statistical (total) uncertainty of the signal strengths. Bands represent the total uncertainty of the signal strengths in the $\ell$+jets channel.

png pdf
Figure 4:
Distributions of the jet multiplicity (left), and scalar ${p_{\mathrm {T}}}$ sum of all jets (right) in events passing the dilepton pair criteria in the ${\mathrm{ e } ^\pm \mu ^\mp }$ channel. The Z/$\gamma ^{*}$ and Non-W/Z backgrounds are determined from data (cf. Section xxx). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 4-a:
Distribution of the jet multiplicity in events passing the dilepton pair criteria in the ${\mathrm{ e } ^\pm \mu ^\mp }$ channel. The Z/$\gamma ^{*}$ and Non-W/Z backgrounds are determined from data (cf. Section 5.2). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 4-b:
Distribution of the scalar ${p_{\mathrm {T}}}$ sum of all jets in events passing the dilepton pair criteria in the ${\mathrm{ e } ^\pm \mu ^\mp }$ channel. The Z/$\gamma ^{*}$ and Non-W/Z backgrounds are determined from data (cf. Section 5.2). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 5:
Distributions of the invariant mass (left) and ${p_{\mathrm {T}}}$ (right) of the dilepton pair after requiring at least two jets in the ${\mathrm{ e } ^\pm \mu ^\mp }$ channel. The Z/$\gamma ^{*}$ and Non-W/Z backgrounds are determined from data (cf. Section 5.2). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 5-a:
Distribution of the invariant mass of the dilepton pair after requiring at least two jets in the ${\mathrm{ e } ^\pm \mu ^\mp }$ channel. The Z/$\gamma ^{*}$ and Non-W/Z backgrounds are determined from data (cf. Section 5.2). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 5-b:
Distribution of the ${p_{\mathrm {T}}}$ of the dilepton pair after requiring at least two jets in the ${\mathrm{ e } ^\pm \mu ^\mp }$ channel. The Z/$\gamma ^{*}$ and Non-W/Z backgrounds are determined from data (cf. Section 5.2). The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 6:
Distributions of the missing transverse momentum (left) in events passing the dilepton criteria and Z veto, and invariant mass (right) of the dilepton pair after the missing transverse momentum requirement in the ${\mu ^\pm \mu ^\mp } $ channel. The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 6-a:
Distribution of the missing transverse momentum in events passing the dilepton criteria and Z veto. The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 6-b:
Invariant mass of the dilepton pair after the missing transverse momentum requirement in the ${\mu ^\pm \mu ^\mp } $ channel. The shaded band represents the statistical and integrated luminosity uncertainties on the expected signal and background yields. The last bin of the distributions contains the overflow events.

png pdf
Figure 7:
Top quark pair production cross section in $\mathrm{ p \bar{p} } $ and $ \mathrm{ pp } $ collisions as a function of the center-of-mass energy; the Tevatron combination at ${\sqrt {s}} = $ 1.96 TeV is displayed, as well as CMS results at 7, 8 and 13 TeV in the dilepton and $\ell $+jets channel. The measurements are compared to the NNLO+NNLL theory predictions.

png pdf
Figure 8:
The gluon distribution as functions of $x$ at the scale of 100000 GeV$^2$. The results of the fit including top-quark measurements (shaded band), and without those (hatched band) are compared. The fit uncertainties as obtained by using the MC method,are shown. In the bottom panel, the relative fractional uncertainties are presented.
Tables

png pdf
Table 1:
Basic selection criteria applied in the three final states considered in this analysis.

png pdf
Table 2:
Expected and observed event yields in the different categories used in the $\ell $+jets analysis, prior to the fit. With the exception of the QCD multijet estimate, for which the total uncertainty is reported, the uncertainties reflect the limited statistics in the simulations.

png pdf
Table 3:
Estimated impact of each source of uncertainty on the analysis of distributions and on the cross-check from event counting. ``Other backgrounds'' contains the residual contribution from Z/$\gamma ^{*}$, tW and WV events. The total uncertainty is obtained by adding in quadrature statistical, systematic and theory uncertainties. The values quoted have been symmetrized.

png pdf
Table 4:
Number of dilepton events obtained after applying the full selection. The results are given for the individual sources of background, ${\mathrm{ t } {}\mathrm{ \bar{t} } }$ signal, and data. The uncertainties correspond to statistical and systematic components.

png pdf
Table 5:
Summary of individual contributions to the systematic uncertainty on the $\sigma _{{\mathrm{ t } {}\mathrm{ \bar{t} } } }$ measurement in the dilepton channel. The absolute uncertainties $\Delta \sigma _{{\mathrm{ t } {}\mathrm{ \bar{t} } } }$ in pb as well as relative uncertainties ($\Delta \sigma _{{\mathrm{ t } {}\mathrm{ \bar{t} } } } /\sigma _{{\mathrm{ t } {}\mathrm{ \bar{t} } } }$) are given.

png pdf
Table 6:
Partial $\chi ^2$ per number of data points, $n_{\textrm {dp}}$, and the global $\chi ^2$ per degrees of freedom, $n_{\text {dof}}$, as obtained in the QCD analysis of DIS data, the CMS muon charge asymmetry and the inclusive cross sections of top-quark pair production at $\sqrt {s} = $ 5.02 TeV. For HERA measurements, the energy of the proton beam is listed for each data set, with electron energy being $E_{\mathrm{ e } }= $ 27.5 GeV.
Summary
In summary, the first measurement of the $ \mathrm{ t \bar{t} }$ production cross section in pp collisions at ${\sqrt{s}} = $ 5.02 TeV is presented for events with one or two leptons and at least two jets using a data sample corresponding to an integrated luminosity of 27.4 pb$^{-1}$. The final measurement is obtained as the combination of the measurements in the individual channels. The result is 69.5 pb, with a total relative uncertainty of 12%, which is consistent with the SM prediction. The impact of the measured $\mathrm{ t \bar{t} }$ cross section on the proton PDFs is studied in a QCD analysis at NNLO and a moderate decrease of the uncertainty in the gluon distribution at high fractions $x$ of the proton momentum carried by the gluon is observed.
References
1 CMS Collaboration Measurement of the $ \mathrm{ t \bar{t} } $ production cross section in the e$ \mu $ channel in proton-proton collisions at $ \sqrt{s} = $ 7 and 8 TeV JHEP 08 (2016) 029 CMS-TOP-13-004
1603.02303
2 CMS Collaboration Measurements of the $ \mathrm{ t \bar{t} } $ production cross section in lepton+jets final states in pp collisions at 8 TeV and ratio of 8 to 7 TeV cross sections \it submitted to EPJC CMS-TOP-12-006
1602.09024
3 ATLAS Collaboration Measurement of the top quark pair production cross-section with ATLAS in the single lepton channel PLB 711 (2012) 244 1201.1889
4 ATLAS Collaboration Measurement of the $ t\overline{t} $ production cross-section using $ e\mu $ events with $ b $-tagged jets in $ pp $ collisions at $ \sqrt{s}= $ 7 and 8 TeV with the ATLAS detector EPJC 74 (2014) 3109 1406.5375
5 CMS Collaboration Measurement of the top quark pair production cross section in proton-proton collisions at $ \sqrt{s} = $ 13 TeV PRL 116 (2016), no. 5, 052002 CMS-TOP-15-003
1510.05302
6 CMS Collaboration Measurement of the inclusive and differential $ \mathrm{ t \bar{t} } $ production cross sections in lepton + jets final states at 13 TeV CMS-PAS-TOP-15-005 CMS-PAS-TOP-15-005
7 CMS Collaboration Measurement of the $ \mathrm{t \bar{t}} $ production cross section using events in the $ \mathrm{e} \mu $ final state in pp collisions at $ \sqrt{s} = $ 13 TeV CMS-TOP-16-005
1611.04040
8 ATLAS Collaboration Measurement of the $ t\bar{t} $ production cross-section using $ e\mu $ events with b-tagged jets in pp collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector PLB 761 (2016) 136 1606.02699
9 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
10 ATLAS Collaboration The ATLAS Experiment at the CERN Large Hadron Collider JINST 3 (2008) S08003
11 P. Nason A New method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
12 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
13 S. Alioli, S.-O. Moch, and P. Uwer Hadronic top-quark pair-production with one jet and parton showering JHEP 01 (2012) 137 1110.5251
14 F. Demartin et al. Impact of parton distribution function and $ \alpha_S $ uncertainties on Higgs boson production in gluon fusion at hadron colliders PRD 82 (2010) 014002 1004.0962
15 D. d'Enterria, K. Krajczar, and H. Paukkunen Top-quark production in proton-nucleus and nucleus-nucleus collisions at LHC energies and beyond PLB746 (2015) 64--72 1501.05879
16 CMS Collaboration Projections for Heavy Ions with HL-LHC CDS
17 CMS Collaboration First measurement of the top quark pair production cross section in proton-proton collisions at $ \sqrt{s} = $ 13 TeV CMS-PAS-TOP-16-015 CMS-PAS-TOP-16-015
18 CMS Collaboration CMS Luminosity Calibration for the pp Reference Run at $ \sqrt{s}= $ 5.02 TeV CMS-PAS-LUM-16-001 CMS-PAS-LUM-16-001
19 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
20 T. Sjostrand, S. Mrenna, and P. Skands $ PYTHIA $ 6.4 physics and manual JHEP 05 (2006) 026 hep-ph/0603175
21 T. Sjostrand et al. An introduction to $ PYTHIA $ 8.2 CPC 191 (2015) 159 1410.3012
22 M. Bahr et al. $ HERWIG++ $ physics and manual EPJC 58 (2008) 639 0803.0883
23 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
24 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
25 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
26 E. Re Single-top Wt-channel production matched with parton showers using the POWHEG method EPJC 71 (2011) 1547 1009.2450
27 N. Kidonakis Top Quark Production in Proceedings, Helmholtz International Summer School on Physics of Heavy Quarks and Hadrons (HQ 2013), Hamburg 1311.0283
28 J. M. Campbell and R. K. Ellis MCFM for the Tevatron and the LHC NPPS 205 (2010) 10 1007.3492
29 GEANT4 Collaboration $ Geant 4- $ a simulation toolkit NIMA 506 (2003) 250
30 M. Czakon and A. Mitov $ \textscTop++: $ a program for the calculation of the top-pair cross-section at hadron colliders CPC 185 (2014) 2930 1112.5675
31 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
32 J. Wenninger and E. Todesco Large Hadron Collider momentum calibration and accuracy Technical Report CERN-ACC-2017-0007, CERN, Geneva, Feb
33 CMS Collaboration Particle-Flow Event Reconstruction in CMS and Performance for Jets, Taus, and $ E_{\mathrm{T}}^{\text{miss}} $ CDS
34 CMS Collaboration Commissioning of the Particle-flow Event Reconstruction with the first LHC collisions recorded in the CMS detector CDS
35 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
36 CMS Collaboration Collaboration Performance of CMS muon reconstruction in $ pp $ collision events at $ \sqrt{s} = $ 7 TeV JINST 7 (2012) P10002 1206.4071
37 CMS Collaboration The performance of the CMS muon detector in proton-proton collisions at $ \sqrt{s} = $ 7 TeV at the LHC JINST 8 (2013) P11002 CMS-MUO-11-001
1306.6905
38 M. Cacciari and G. P. Salam Pileup subtraction using jet areas PLB 659 (2008) 119 0707.1378
39 CMS Collaboration Measurements of inclusive W and Z cross sections in pp collisions at $ \sqrt{s} = $ 7 TeV JHEP 01 (2011) 080 CMS-EWK-10-002
1012.2466
40 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\rm T} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
41 CMS Collaboration Determination of jet energy calibration and transverse momentum resolution in CMS JINST 6 (2011) P11002 CMS-JME-10-011
1107.4277
42 CMS Collaboration Identification of b-quark jets with the CMS experiment JINST 8 (2013) P04013 CMS-BTV-12-001
1211.4462
43 CMS Collaboration First Measurement of the Cross Section for Top-Quark Pair Production in Proton-Proton Collisions at $ \sqrt{s}= $ 7 TeV PLB695 (2011) 424--443 CMS-TOP-10-001
1010.5994
44 CMS Collaboration A measurement of the inclusive $ \mathrm{ t \bar{t} } $ production cross section in proton-proton collisions at $ \sqrt{s} = $ 13 TeV , using events with one isolated charged lepton and at least one jet CMS-PAS-TOP-16-006 CMS-PAS-TOP-16-006
45 L. Lyons, D. Gibaut, and P. Clifford How to combine correlated estimates of a single physical quantity NIMA270 (1988) 110
46 A. Valassi and R. Chierici Information and treatment of unknown correlations in the combination of measurements using the BLUE method EPJC74 (2014) 2717 1307.4003
47 L. Lista The bias of the unbiased estimator: a study of the iterative application of the BLUE method NIMA764 (2014) 82--93 1405.3425
48 CDF and D0 Collaborations Combination of measurements of the top-quark pair production cross section from the Tevatron Collider PRD 89 (2014) 072001 1309.7570
49 NNPDF Collaboration Parton distributions for the LHC Run II JHEP 04 (2015) 040 1410.8849
50 L. A. Harland-Lang, A. D. Martin, P. Motylinski, and R. S. Thorne Parton distributions in the LHC era: MMHT 2014 PDFs EPJC75 (2015), no. 5, 204 1412.3989
51 S. Dulat et al. New parton distribution functions from a global analysis of quantum chromodynamics PRD93 (2016), no. 3, 033006 1506.07443
52 S. Alekhin, J. Blumlein, and S. Moch The ABM parton distributions tuned to LHC data PRD89 (2014), no. 5, 054028 1310.3059
53 ZEUS and H1 Collaboration Combination of measurements of inclusive deep inelastic $ \mathrm{e^{\pm }p} $ scattering cross sections and QCD analysis of HERA data EPJC 75 (2015) 580 1506.06042
54 CMS Collaboration Measurement of the differential cross section and charge asymmetry for inclusive $ \mathrm {p}\mathrm {p}\rightarrow \mathrm {W}^{\pm }+X $ production at $ \sqrt{s} = $ 8 TeV EPJC76 (2016), no. 8, 469 CMS-SMP-14-022
1603.01803
55 S. Alekhin et al. HERAFitter, Open source QCD fit project EPJC 75 (2015) 304 1410.4412
56 XFitter Collaboration XFitter
57 V. N. Gribov and L. N. Lipatov Deep inelastic ep scattering in perturbation theory Sov. J. Nucl. Phys. 15 (1972)438
58 G. Altarelli and G. Parisi Asymptotic freedom in parton language Nucl. Phys. B 126 (1977) 298
59 G. Curci, W. Furmanski, and R. Petronzio Evolution of parton densities beyond leading order: The non-singlet case Nucl. Phys. B 175 (1980) 27
60 W. Furmanski and R. Petronzio Singlet parton densities beyond leading order PLB 97 (1980) 437
61 S. Moch, J. A. M. Vermaseren, and A. Vogt The three-loop splitting functions in QCD: the non-singlet case Nucl. Phys. B 688 (2004) 101 hep-ph/0403192
62 A. Vogt, S. Moch, and J. A. M. Vermaseren The three-loop splitting functions in QCD: the singlet case Nucl. Phys. B 691 (2004) 129 hep-ph/0404111
63 M. Botje QCDNUM: Fast QCD evolution and convolution CPC 182 (2011) 490 1005.1481
64 M. Aliev et al. HATHOR: HAdronic Top and Heavy quarks crOss section calculatoR CPC 182 (2011) 1034--1046 1007.1327
65 A. D. Martin, W. J. Stirling, R. S. Thorne, and G. Watt Parton distributions for the LHC EPJC 63 (2009) 189 0901.0002
66 CMS Collaboration Measurement of the muon charge asymmetry in inclusive $ \mathrm{pp \to W+X} $ production at $ \sqrt{s} = $ 7 TeV and an improved determination of light parton distribution functions PRD 90 (2014) 032004 CMS-SMP-12-021
1312.6283
67 W. T. Giele and S. Keller Implications of hadron collider observables on parton distribution function uncertainties PRD 58 (1998) 094023 hep-ph/9803393
68 W. T. Giele, S. A. Keller, and D. A. Kosower Parton distribution function uncertainties hep-ph/0104052
Compact Muon Solenoid
LHC, CERN