HEPData Search

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Measurement of simplified template cross sections of the Higgs boson produced in association with W or Z bosons in the H $\to$$\mathrm{b\bar{b}}$ decay channel in proton-proton collisions at $\sqrt{s}$ =13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

CMS-HIG-20-001, 2023.

Inspire Record 2736546 DOI 10.17182/hepdata.145636

Differential cross sections are measured for the standard model Higgs boson produced in association with vector bosons (W, Z) and decaying to a pair of b quarks. Measurements are performed within the framework of the simplified template cross sections. The analysis relies 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 candidates are either reconstructed from pairs of resolved b-tagged jets, or from single large distance parameter jets containing the particles arising from two b quarks. Proton-proton collision data at $\sqrt{s}$ = 13 TeV, collected by the CMS experiment in 2016-2018 and corresponding to a total integrated luminosity of 138 fb$^{-1}$, are analyzed. The inclusive signal strength, defined as the product of the observed production cross section and branching fraction relative to the standard model expectation, combining all analysis categories, is found to be $\mu$ = 1.15$^{+0.22}_{-0.20}$. This corresponds to an observed (expected) significance of 6.3 (5.6) standard deviations.

3 data tables

Table 1

Measured product of cross section and branching fraction as well as signal strength, defined as the ratio of the observed signal cross section to the Standard Model expectation, in the V(leptonic)H STXS process scheme from the analysis of the 2016, 2017 and 2018 data. If the observed signal strength for a given STXS bin is negative, no uncertainty is reported for the associated bin.

Table 2

Signal strength per signal process. All results combine the 2016, 2017 and 2018 data-taking years.

Table 3

Signal strength per analysis channels. All results combine the 2016, 2017 and 2018 data-taking years.

Observation of new structure in the J/$\psi$J/$\psi$ mass spectrum in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Hayrapetyan, Aram ; Tumasyan, Armen ; Adam, Wolfgang ; et al.

Phys.Rev.Lett. 132 (2024) 111901, 2024.

Inspire Record 2668013 DOI 10.17182/hepdata.141028

A search is reported for near-threshold structures in the J/$\psi$J/$\psi$ invariant mass spectrum produced in proton-proton collisions at $\sqrt{s}$ = 13 TeV from data collected by the CMS experiment, corresponding to an integrated luminosity of 135 fb$^{-1}$. Three structures are found, and a model with quantum interference among these structures provides a good description of the data. A new structure is observed with a significance above 5 standard deviations at a mass of 6638 $^{+43}_{-38}$ (stat) $^{+16}_{-31}$ (syst) MeV. Another structure with even higher significance is found at a mass of 6847 $^{+44}_{-28}$ (stat) $^{+48}_{-20}$ (syst) MeV, which is consistent with the X(6900) resonance reported by the LHCb experiment and confirmed by the ATLAS experiment. Evidence for another new structure, with a local significance of 4.7 standard deviations, is found at a mass of 7134 $^{+48}_{-25}$ (stat) $^{+41}_{-15}$ (syst) MeV. Results are also reported for a model without interference, which does not fit the data as well and shows mass shifts up to 150 MeV relative to the model with interference.

2 data tables

Table 1

The mass (m) and natural widths (Γ) from the fits to the $\mathrm{J}/\psi\mathrm{J}/\psi$ mass distribution, for both the non-interference model and the interference model. The signal yields N for the non-interference model are given for the three signal structures.

Figure 1

The $\mathrm{J}/\psi\mathrm{J}/\psi$ invariant mass distribution in data

Version 3
Measurement of the dependence of the hadron production fraction ratio $f_\mathrm{s} / f_\mathrm{u}$ and $f_\mathrm{d} / f_ \mathrm{u}$ on B meson kinematic variables in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

Phys.Rev.Lett. 131 (2023) 121901, 2023.

Inspire Record 2610522 DOI 10.17182/hepdata.134069

The dependence of the ratio between the B$_\mathrm{s}^0$ and B$^+$ hadron production fractions, $f_\mathrm{s} / f_\mathrm{u}$, on the transverse momentum ($p_\mathrm{T}$) and rapidity of the B mesons is studied using the decay channels B$_\mathrm{s}^0$$\to$ J$/\psi\,\phi$ and B$^+$$\to$ J$/\psi$ K$^+$. The analysis uses a data sample of proton-proton collisions at a center-of-mass energy of 13 TeV, collected by the CMS experiment in 2018 and corresponding to an integrated luminosity of 61.6 fb$^{-1}$. The $f_\mathrm{s} / f_\mathrm{u}$ ratio is observed to depend on the B $p_\mathrm{T}$ and to be consistent with becoming asymptotically constant at large $p_\mathrm{T}$. No rapidity dependence is observed. The ratio of the B$^0$ to B$^+$ hadron production fractions, $f_\mathrm{d} / f_\mathrm{u}$, measured using the B$^0$$\to$ J$/\psi$ K$^{*0}$ decay channel, is found to be consistent with unity and independent of $p_\mathrm{T}$ and rapidity, as expected from isospin invariance.

15 data tables

Figure 1

The $\mathrm{J/\psi \phi}$, $\mathrm{J/\psi K}$, and $\mathrm{J/\psi} \mathrm{K}^{*0}$ invariant mass distributions, for $\mathrm{B}$ meson candidates with $20 < p_T < 23$ GeV, and asociated fits as described in the text.

Figure 1

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Search for dark matter produced in association with a dark Higgs boson decaying into $W^{+}W^{-}$ in the one-lepton final state at $\sqrt{s}$=13 TeV using 139 fb$^{-1}$ of $pp$ collisions recorded with the ATLAS detector

The ATLAS collaboration Aad, G. ; Abbott, B. ; Abbott, D.C. ; et al.

JHEP 07 (2023) 116, 2023.

Inspire Record 2181868 DOI 10.17182/hepdata.132484

Several extensions of the Standard Model predict the production of dark matter particles at the LHC. A search for dark matter particles produced in association with a dark Higgs boson decaying into $W^{+}W^{-}$ in the $\ell^\pm\nu q \bar q'$ final states with $\ell=e,\mu$ is presented. This analysis uses 139 fb$^{-1}$ of $pp$ collisions recorded by the ATLAS detector at a centre-of-mass energy of 13 TeV. The $W^\pm \to q\bar q'$ decays are reconstructed from pairs of calorimeter-measured jets or from track-assisted reclustered jets, a technique aimed at resolving the dense topology from a pair of boosted quarks using jets in the calorimeter and tracking information. The observed data are found to agree with Standard Model predictions. Scenarios with dark Higgs boson masses ranging between 140 and 390 GeV are excluded.

25 data tables

Merged W Candidate Reco Efficiency (mZp=500 GeV)

Probability of finding at least one TAR jet, where the pT-leading TAR jet passes the mWcand and D2β=1 requirements, as a function of ms. The probability is determined in a sample of signal events with mZ'=500 GeV, with the preselections applied.

Merged W Candidate Reco Efficiency (mZp=1000 GeV)

Merged W Candidate Reco Efficiency (mZp=1700 GeV)

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Measurement of the jet mass distribution and top quark mass in hadronic decays of boosted top quarks in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

Eur.Phys.J.C 83 (2023) 560, 2023.

Inspire Record 2175946 DOI 10.17182/hepdata.130712

A measurement of the jet mass distribution in hadronic decays of Lorentz-boosted top quarks is presented. The measurement is performed in the lepton+jets channel of top quark pair production ($\mathrm{t\bar{t}}$) events, where the lepton is an electron or muon. The products of the hadronic top quark decay are reconstructed using a single large-radius jet with transverse momentum greater than 400 GeV. The data were collected with the CMS detector at the LHC in proton-proton collisions and correspond to an integrated luminosity of 138 fb$^{-1}$. The differential $\mathrm{t\bar{t}}$ production cross section as a function of the jet mass is unfolded to the particle level and is used to extract the top quark mass. The jet mass scale is calibrated using the hadronic W boson decay within the large-radius jet. The uncertainties in the modelling of the final state radiation are reduced by studying angular correlations in the jet substructure. These developments lead to a significant increase in precision, and a top quark mass of 173.06 $\pm$ 0.84 GeV.

14 data tables

xsec_diff_mjet

The particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section in the fiducial region as a function of the XCone-jet mass.

correlations_xsec_diff_mjet

Correlations between bins in the particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section as a function of the XCone-jet mass.

covariance_stat_xsec_diff_mjet

The covariance matrix containing the statistical uncertainties of the particle-level $\mathrm{t}\overline{\mathrm{t}}$ differential cross section as a function of the XCone-jet mass.

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rivet Analysis
Measurements of jet multiplicity and jet transverse momentum in multijet events in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

Eur.Phys.J.C 83 (2023) 742, 2023.

Inspire Record 2170533 DOI 10.17182/hepdata.133279

Multijet events at large transverse momentum ($p_\mathrm{T}$) are measured at $\sqrt{s}$ = 13 TeV using data recorded with the CMS detector at the LHC, corresponding to an integrated luminosity of 36.3 fb$^{-1}$. The multiplicity of jets with $p_\mathrm{T}$$>$ 50 GeV that are produced in association with a high-$p_\mathrm{T}$ dijet system is measured in various ranges of the $p_\mathrm{T}$ of the jet with the highest transverse momentum and as a function of the azimuthal angle difference $\Delta\phi_{1,2}$ between the two highest $p_\mathrm{T}$ jets in the dijet system. The differential production cross sections are measured as a function of the transverse momenta of the four highest $p_\mathrm{T}$ jets. The measurements are compared with leading and next-to-leading order matrix element calculations supplemented with simulations of parton shower, hadronization, and multiparton interactions. In addition, the measurements are compared with next-to-leading order matrix element calculations combined with transverse-momentum dependent parton densities and transverse-momentum dependent parton shower.

17 data tables

Table 1

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with 200 < $p_{T1}$ < 400 GeV and for an azimuthal separation between the two leading jets of $0 < \Delta\Phi_{1,2} < 150^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Table 2

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with 200 < $p_{T1}$ < 400 GeV and for an azimuthal separation between the two leading jets of $150 < \Delta\Phi_{1,2} < 170^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

Table 3

Jet multiplicity measured for a leading-pT jet ($p_{T1}$) with 200 < $p_{T1}$ < 400 GeV and for an azimuthal separation between the two leading jets of $170 < \Delta\Phi_{1,2} < 180^{\circ}$. The full breakdown of the uncertainties is displayed, with PU corresponding to Pileup, PREF to Trigger Prefering, PTHAT to the hard-scale (renormalization and factorization scales), MISS and FAKE to the inefficienties and background, LUMI to integrated luminosity. With JES, JER and stat. unc. following the notation in the paper.

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Searches for additional Higgs bosons and for vector leptoquarks in $\tau\tau$ final states in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

JHEP 07 (2023) 073, 2023.

Inspire Record 2132368 DOI 10.17182/hepdata.128147

Three searches are presented for signatures of physics beyond the standard model (SM) in $\tau\tau$ final states in proton-proton collisions at the LHC, using a data sample collected with the CMS detector at $\sqrt{s}$ = 13 TeV, corresponding to an integrated luminosity of 138 fb$^{-1}$. Upper limits at 95% confidence level (CL) are set on the products of the branching fraction for the decay into $\tau$ leptons and the cross sections for the production of a new boson $\phi$, in addition to the H(125) boson, via gluon fusion (gg$\phi$) or in association with b quarks, ranging from $\mathcal{O}$(10 pb) for a mass of 60 GeV to 0.3 fb for a mass of 3.5 TeV each. The data reveal two excesses for gg$\phi$ production with local $p$-values equivalent to about three standard deviations at $m_\phi$ = 0.1 and 1.2 TeV. In a search for $t$-channel exchange of a vector leptoquark U$_1$, 95% CL upper limits are set on the dimensionless U$_1$ leptoquark coupling to quarks and $\tau$ leptons ranging from 1 for a mass of 1 TeV to 6 for a mass of 5 TeV, depending on the scenario. In the interpretations of the $M_\mathrm{h}^{125}$ and $M_\mathrm{h, EFT}^{125}$ minimal supersymmetric SM benchmark scenarios, additional Higgs bosons with masses below 350 GeV are excluded at 95% CL.

313 data tables

Table Figure 10a

Expected and observed $95\%\text{ CL}$ upper limits on the product of the cross sections and branching fraction for the decay into $\tau$ leptons for $gg\phi$ production in a mass range of $60\leq m_\phi\leq 3500\text{ GeV}$, in addition to $\text{H}(125)$. The central $68$ and $95\%$ intervals are given in addition to the expected median value. In this case, $bb\phi$ production rate has been profiled. The peak in the expected $gg\phi$ limit is tribute to a loss of sensitivity around $90\text{ GeV}$ due to the background from $Z/\gamma^\ast\rightarrow\tau\tau$ events. Numerical values provided in this table correspond to Figure 10a of the publication.

Table Figure 10b

Expected and observed $95\%\text{ CL}$ upper limits on the product of the cross sections and branching fraction for the decay into $\tau$ leptons for $bb\phi$ production in a mass range of $60\leq m_\phi\leq 3500\text{ GeV}$, in addition to $\text{H}(125)$. The central $68$ and $95\%$ intervals are given in addition to the expected median value. In this case, $gg\phi$ production rate has been profiled. Numerical values provided in this table correspond to Figure 10b of the publication.

Table Aux. Figure 37

Expected and observed $95\%\text{ CL}$ upper limits on the product of the cross sections and branching fraction for the decay into $\tau$ leptons for $gg\phi$ production in a mass range of $60\leq m_\phi\leq 3500\text{ GeV}$, in addition to $\text{H}(125)$. The central $68$ and $95\%$ intervals are given in addition to the expected median value. In this case, $bb\phi$ production rate has been fixed to zero. Numerical values provided in this table correspond to Figure 37 of the auxilliary material of the publication.

Table $t\bar{t}$ Control Region 2016 High-Mass

Observed and expected distributions of the variable chosen for statistical inference in the $t\bar{t}$ control region $m_{T}^{tot}$ for high-mass analysis. Numerical values provided in this table correspond to the $t\bar{t}$ control region of the publication, restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table $t\bar{t}$ Control Region 2017 High-Mass

Observed and expected distributions of the variable chosen for statistical inference in the $t\bar{t}$ control region $m_{T}^{tot}$ for high-mass analysis. Numerical values provided in this table correspond to the $t\bar{t}$ control region of the publication, restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table $t\bar{t}$ Control Region 2018 High-Mass

Observed and expected distributions of the variable chosen for statistical inference in the $t\bar{t}$ control region $m_{T}^{tot}$ for high-mass analysis. Numerical values provided in this table correspond to the $t\bar{t}$ control region of the publication, restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 25 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 25 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 25 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 25 of the auxilliary material of the publication, but restricted to and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 25 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 25 of the auxilliary material of the publication, but restricted to and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8a 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8a of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8a 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8a of the publication, but restricted to and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8a 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8a of the publication, but restricted to and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 26 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 26 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 26 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 26 of the auxilliary material of the publication, but restricted to and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 26 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 26 of the auxilliary material of the publication, but restricted to and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8b 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8b of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8b 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8b of the publication, but restricted to and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8b 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8b of the publication, but restricted to and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 27 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 27 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 27 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 27 of the auxilliary material of the publication, but restricted to and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 27 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 27 of the auxilliary material of the publication, but restricted to and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 28 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 28 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 28 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 28 of the auxilliary material of the publication, but restricted to and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 28 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 28 of the auxilliary material of the publication, but restricted to and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8c $e\tau_{h}$ 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8c of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8c $e\tau_{h}$ 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8c of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8c $e\tau_{h}$ 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8c of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 29 $e\tau_{h}$ 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 29 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 29 $e\tau_{h}$ 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 29 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 29 $e\tau_{h}$ 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 29 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8d $e\tau_{h}$ 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8d of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8d $e\tau_{h}$ 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8d of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8d $e\tau_{h}$ 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8d of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 30 $e\tau_{h}$ 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 30 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 30 $e\tau_{h}$ 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 30 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 30 $e\tau_{h}$ 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 30 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8c $\mu\tau_{h}$ 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8c of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8c $\mu\tau_{h}$ 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8c of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8c $\mu\tau_{h}$ 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8c of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 29 $\mu\tau_{h}$ 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 29 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 29 $\mu\tau_{h}$ 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 29 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 29 $\mu\tau_{h}$ 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 29 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8d $\mu\tau_{h}$ 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8d of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8d $\mu\tau_{h}$ 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8d of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8d $\mu\tau_{h}$ 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8d of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 30 $\mu\tau_{h}$ 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 30 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 30 $\mu\tau_{h}$ 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 30 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 30 $\mu\tau_{h}$ 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 30 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8e 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8e of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8e 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8e of the publication, but restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8e 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8e of the publication, but restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8f 2016 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8f of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8f 2017 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8f of the publication, but restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Figure 8f 2018 High-mass

Observed and expected distributions of the variable chosen for statistical inference in the high-mass analysis $m_{T}^{tot}$. Numerical values provided in this table correspond to Figure 8f of the publication, but restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table $t\bar{t}$ Control Region 2016 Low-Mass

Observed and expected distributions of the variable chosen for statistical inference in the $t\bar{t}$ control region $m_{T}^{tot}$ for low-mass analysis. Numerical values provided in this table correspond to the $t\bar{t}$ control region of the publication, restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table $t\bar{t}$ Control Region 2017 Low-Mass

Observed and expected distributions of the variable chosen for statistical inference in the $t\bar{t}$ control region $m_{T}^{tot}$ for low-mass analysis. Numerical values provided in this table correspond to the $t\bar{t}$ control region of the publication, restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table $t\bar{t}$ Control Region 2018 Low-Mass

Observed and expected distributions of the variable chosen for statistical inference in the $t\bar{t}$ control region $m_{T}^{tot}$ for low-mass analysis. Numerical values provided in this table correspond to the $t\bar{t}$ control region of the publication, restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 11 High-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 11 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 11 High-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 11 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 11 High-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 11 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 11 Medium-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 11 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 11 Medium-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 11 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 11 Medium-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 11 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 12 High-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 12 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 12 High-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 12 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 12 High-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 12 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 12 Medium-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 12 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 12 Medium-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 12 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 12 Medium-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 12 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 13 High-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 13 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 13 High-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 13 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 13 High-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 13 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 13 Medium-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 13 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 13 Medium-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 13 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 13 Medium-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 13 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 14 High-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 14 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 14 High-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 14 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 14 High-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 14 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 14 Medium-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 14 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 14 Medium-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 14 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 14 Medium-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 14 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 10 High-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 10 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 10 High-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 10 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 10 High-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 10 of the auxilliary material of the publication, but restricted to High-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 10 Medium-$D_\zeta$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 10 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 10 Medium-$D_\zeta$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 10 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 10 Medium-$D_\zeta$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 10 of the auxilliary material of the publication, but restricted to Medium-$D_\zeta$ category and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 16 $e\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 16 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 16 $e\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 16 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 16 $e\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 16 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 17 $e\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 17 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 17 $e\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 17 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 17 $e\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 17 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 18 $e\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 18 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 18 $e\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 18 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 18 $e\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 18 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 19 $e\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 19 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 19 $e\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 19 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 19 $e\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 19 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 15 $e\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 15 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 15 $e\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 15 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 15 $e\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 15 of the auxilliary material of the publication, but restricted to $e\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 16 $\mu\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 16 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 16 $\mu\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 16 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 16 $\mu\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 16 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 17 $\mu\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 17 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 17 $\mu\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 17 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 17 $\mu\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 17 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 18 $\mu\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 18 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 18 $\mu\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 18 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 18 $\mu\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 18 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 19 $\mu\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 19 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 19 $\mu\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 19 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 19 $\mu\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 19 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 15 $\mu\tau_{h}$ 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 15 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 15 $\mu\tau_{h}$ 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 15 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 15 $\mu\tau_{h}$ 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 15 of the auxilliary material of the publication, but restricted to $\mu\tau_{h}$ final state and 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 21 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 21 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 21 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 21 of the auxilliary material of the publication, but restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 21 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 21 of the auxilliary material of the publication, but restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 22 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 22 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 22 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 22 of the auxilliary material of the publication, but restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 22 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 22 of the auxilliary material of the publication, but restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 23 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 23 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 23 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 23 of the auxilliary material of the publication, but restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 23 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 23 of the auxilliary material of the publication, but restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 24 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 24 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 24 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 24 of the auxilliary material of the publication, but restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 24 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 24 of the auxilliary material of the publication, but restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 20 2016 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 20 of the auxilliary material of the publication, but restricted to 2016 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 20 2017 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 20 of the auxilliary material of the publication, but restricted to 2017 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

Table Aux. Figure 20 2018 Low-mass

Observed and expected distributions of the variable chosen for statistical inference in the low-mass analysis $m_{\tau\tau}$. Numerical values provided in this table correspond to Figure 20 of the auxilliary material of the publication, but restricted to 2018 data-taking year. All distributions are considered after a fit to data is performed using a background-only model, which includes the $\text{H}(125)$ boson. Some details on how the distributions should be used: 1) All given uncertainties correspond to systematic variations of $\pm1\sigma$. 2) Upper values ('plus' in the yaml file) correspond to an upward systematic variation of the parameter ($+1\sigma$). 3) Lower values ('minus' in the yaml file) correspond to a downward systematic variation of the parameter ($-1\sigma$). 4) These variations can have both positive and negative values, depending on the modelled effect. 5) Uncertainties with the same name should be treated as correlated, consistently across the upper and lower variations. 6) Systematic uncertainties with 'prop_' in the name treat limited background statistics per histogram bin, and are deployed with 'Barlow-Beeston-lite' approach. Details in https://arxiv.org/abs/1103.0354 section 5 7) Remaining systematic uncertainties alter the normalization, the shape, or both for a distribution. The nuisance parameter for such an uncertainty is mapped separately on the normalization and the shape variation components of the uncertainty. For normalization, $\ln$ mapping is used, for shape a spline. Details in https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/part2/settinguptheanalysis/#binned-shape-analysis 8) All nuisance parameters for the systematic uncertainties are modelled with a Gaussian pdf. 9) Gluon fusion contributions are all scaled to 1 pb. Please combine them using either the scale factors from 'Table SM Gluon Fusion Fractions', or using your own composition.

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Version 2
Measurement of the top quark pole mass using $\mathrm{t\bar{t}}$+jet events in the dilepton final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

JHEP 07 (2023) 077, 2023.

Inspire Record 2106483 DOI 10.17182/hepdata.127990

A measurement of the top quark pole mass $m_\mathrm{t}^\text{pole}$ in events where a top quark-antiquark pair ($\mathrm{t\bar{t}}$) is produced in association with at least one additional jet ($\mathrm{t\bar{t}}$+jet) is presented. This analysis is performed using proton-proton collision data at $\sqrt{s}$ = 13 TeV collected by the CMS experiment at the CERN LHC, corresponding to a total integrated luminosity of 36.3 fb$^{-1}$. Events with two opposite-sign leptons in the final state (e$^+$e$^-$, $\mu^+\mu^-$, e$^\pm\mu^\mp$) are analyzed. The reconstruction of the main observable and the event classification are optimized using multivariate analysis techniques based on machine learning. The production cross section is measured as a function of the inverse of the invariant mass of the $\mathrm{t\bar{t}}$+jet system at the parton level using a maximum likelihood unfolding. Given a reference parton distribution function (PDF), the top quark pole mass is extracted using the theoretical predictions at next-to-leading order. For the ABMP16NLO PDF, this results in $m_\mathrm{t}^\text{pole}$ = 172.93 $\pm$ 1.36 GeV.

10 data tables

parton_abs_rho

Absolute differential cross section as a function of the rho observable at parton level.

parton_abs_rho_covariance_total

Covariance matrix for the total uncertainty (i.e. fit including stat., not extrapolation) for the measurement of the absolute differential cross section as a function of the rho observable at parton level.

parton_abs_rho_covariance_stat

Covariance matrix for the statistical uncertainty for the measurement of the absolute differential cross section as a function of the rho observable at parton level.

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Search for new phenomena in final states with photons, jets and missing transverse momentum in $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

The ATLAS collaboration Aad, Georges ; Abbott, Braden Keim ; Abbott, D.C. ; et al.

JHEP 07 (2023) 021, 2023.

Inspire Record 2094882 DOI 10.17182/hepdata.115570

A search for new phenomena has been performed in final states with at least one isolated high-momentum photon, jets and missing transverse momentum in proton--proton collisions at a centre-of-mass energy of $\sqrt{s} = 13$ TeV. The data, collected by the ATLAS experiment at the CERN LHC, correspond to an integrated luminosity of 139 $fb^{-1}$. The experimental results are interpreted in a supersymmetric model in which pair-produced gluinos decay into neutralinos, which in turn decay into a gravitino, at least one photon, and jets. No significant deviations from the predictions of the Standard Model are observed. Upper limits are set on the visible cross section due to physics beyond the Standard Model, and lower limits are set on the masses of the gluinos and neutralinos, all at 95% confidence level. Visible cross sections greater than 0.022 fb are excluded and pair-produced gluinos with masses up to 2200 GeV are excluded for most of the NLSP masses investigated.

33 data tables

Figure 2

The observed and expected (post-fit) yields in the control and validation regions. The lower panel shows the difference in standard deviations between the observed and expected yields, considering both the systematic and statistical uncertainties on the background expectation.

Distribution 1

Observed (points with error bars) and expected background (solid histograms) distributions for $E_{T}^{miss}$ in the signal region (a) SRL, (b) SRM and (c) SRH after the background-only fit applied to the CRs. The predicted signal distributions for the two models with a gluino mass of 2000 GeV and neutralino mass of 250 GeV (SRL), 1050 GeV (SRM) or 1950 GeV (SRH) are also shown for comparison. The uncertainties in the SM background are only statistical.

Distribution 2

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Version 2
Search for electroweak production of charginos and neutralinos at $\sqrt{s}$ =13 TeV in final states containing hadronic decays of WW, WZ, or WH and missing transverse momentum

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

Phys.Lett.B 842 (2023) 137460, 2023.

Inspire Record 2085373 DOI 10.17182/hepdata.127766

This Letter presents a search for direct production of charginos and neutralinos via electroweak interactions. The results are based on data from proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS detector at the LHC, corresponding to an integrated luminosity of 137 fb$^{-1}$. The search considers final states with large missing transverse momentum and pairs of hadronically decaying bosons WW, WZ, and WH, where H is the Higgs boson. These bosons are identified using novel algorithms. No significant excess of events is observed relative to the expectations from the standard model. Limits at the 95% confidence level are placed on the cross section for production of mass-degenerate wino-like supersymmetric particles $\tilde{\chi}_1^\pm$ and $\tilde{\chi}_2^0$, and mass-degenerate higgsino-like supersymmetric particles $\tilde{\chi}_1^\pm$, $\tilde{\chi}_2^0$, and $\tilde{\chi}_3^0$. In the limit of a nearly-massless lightest supersymmetric particle $\tilde{\chi}_1^0$, wino-like particles with masses up to 870 and 960 GeV are excluded in the cases of $\tilde{\chi}_2^0$ $\to$ Z$\tilde{\chi}_1^0$ and $\tilde{\chi}_2^0$ $\to$ H$\tilde{\chi}_1^0$, respectively, and higgsino-like particles are excluded between 300 and 650 GeV.

44 data tables

Figure 3a

SM background prediction vs. observation in the b-veto signal region

Figure 3a ratios

SM background observation/prediction in the bVeto signal region

Figure 3b

SM background prediction vs. observation in the WH signal region

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Search for heavy, long-lived, charged particles with large ionisation energy loss in $pp$ collisions at $\sqrt{s} = 13~\text{TeV}$ using the ATLAS experiment and the full Run 2 dataset

The ATLAS collaboration Aad, Georges ; Abbott, Braden Keim ; Abbott, D.C. ; et al.

JHEP 2306 (2023) 158, 2023.

Inspire Record 2080541 DOI 10.17182/hepdata.127994

This paper presents a search for hypothetical massive, charged, long-lived particles with the ATLAS detector at the LHC using an integrated luminosity of 139 fb$^{-1}$ of proton-proton collisions at $\sqrt{s}=13$ TeV. These particles are expected to move significantly slower than the speed of light and should be identifiable by their high transverse momenta and anomalously large specific ionisation losses, ${\mathrm{d}}E/\mathrm{d}x$. Trajectories reconstructed solely by the inner tracking system and a ${\mathrm{d}}E/\mathrm{d}x$ measurement in the pixel detector layers provide sensitivity to particles with lifetimes down to ${\cal O}(1)$$\text{ns}$ with a mass, measured using the Bethe--Bloch relation, ranging from 100 GeV to 3 TeV. Interpretations for pair-production of $R$-hadrons, charginos and staus in scenarios of supersymmetry compatible with these particles being long-lived are presented, with mass limits extending considerably beyond those from previous searches in broad ranges of lifetime.

112 data tables

README and table of contents

This material aims to give people outside the ATLAS Collaboration the possibility to reinterpret the results from the search for heavy charged long-lived particles (CLLPs), using only particles from Monte Carlo event generators. The reinterpretation material is provided for signal regions SR-Inclusive_Low and SR-Inclusive_High. <ul display="inline-block"> <li>The "long" lifetime regime of mass windows is used.</li> <li>Users are guided to read Guide.pdf (available from "Resources" or "Download All" buttons) for how to use the provided materials for reinterpretation.</li> <li>The pseudo-code snippet snippet.cxx also illustrates a sketch of possible implementation.</li> </ul> Signal Region (Discovery) mass distribution <ul> <li><a href="?table=SR-Inclusive_Low%20mass%20distribution">SR-Inclusive_Low mass distribution</a></li> <li><a href="?table=SR-Inclusive_High%20mass%20distribution">SR-Inclusive_High mass distribution</a></li> </ul> Signal Region (Discovery) $p_\text{T}, \eta, dE/dx$ distribution <ul> <li><a href="?table=SR-Inclusive_Low%20pT%20distribution">SR-Inclusive_Low pT distribution</a></li> <li><a href="?table=SR-Inclusive_High%20pT%20distribution">SR-Inclusive_High pT distribution</a></li> <li><a href="?table=SR-Inclusive_Low%20$eta$%20distribution">SR-Inclusive_Low $\eta$ distribution</a></li> <li><a href="?table=SR-Inclusive_High%20$eta$%20distribution">SR-Inclusive_High $\eta$ distribution</a></li> <li><a href="?table=SR-Inclusive_Low%20dE/dx%20distribution">SR-Inclusive_Low dE/dx distribution</a></li> <li><a href="?table=SR-Inclusive_High%20dE/dx%20distribution">SR-Inclusive_High dE/dx distribution</a></li> </ul> Signal Region (Limit Setting) mass distribution <ul> <li><a href="?table=SR-Trk-IBL0_Low%20mass%20distribution">SR-Trk-IBL0_Low mass distribution</a></li> <li><a href="?table=SR-Mu-IBL0_Low%20mass%20distribution">SR-Mu-IBL0_Low mass distribution</a></li> <li><a href="?table=SR-Trk-IBL0_High%20mass%20distribution">SR-Trk-IBL0_High mass distribution</a></li> <li><a href="?table=SR-Mu-IBL0_High%20mass%20distribution">SR-Mu-IBL0_High mass distribution</a></li> <li><a href="?table=SR-Trk-IBL1%20mass%20distribution">SR-Trk-IBL1 mass distribution</a></li> <li><a href="?table=SR-Mu-IBL1%20mass%20distribution">SR-Mu-IBL1 mass distribution</a></li> </ul> Signal Region (Limit Setting) $p_\text{T}$ distribution <ul> <li><a href="?table=SR-Trk-IBL0_Low%20pT%20distribution">SR-Trk-IBL0_Low pT distribution</a></li> <li><a href="?table=SR-Mu-IBL0_Low%20pT%20distribution">SR-Mu-IBL0_Low pT distribution</a></li> <li><a href="?table=SR-Trk-IBL0_High%20pT%20distribution">SR-Trk-IBL0_High pT distribution</a></li> <li><a href="?table=SR-Mu-IBL0_High%20pT%20distribution">SR-Mu-IBL0_High pT distribution</a></li> <li><a href="?table=SR-Trk-IBL1%20pT%20distribution">SR-Trk-IBL1 pT distribution</a></li> <li><a href="?table=SR-Mu-IBL1%20pT%20distribution">SR-Mu-IBL1 pT distribution</a></li> </ul> Signal Region (Limit Setting) $dE/dx$ distribution <ul> <li><a href="?table=SR-Trk-IBL0_Low%20dE/dx%20distribution">SR-Trk-IBL0_Low dE/dx distribution</a></li> <li><a href="?table=SR-Mu-IBL0_Low%20dE/dx%20distribution">SR-Mu-IBL0_Low dE/dx distribution</a></li> <li><a href="?table=SR-Trk-IBL0_High%20dE/dx%20distribution">SR-Trk-IBL0_High dE/dx distribution</a></li> <li><a href="?table=SR-Mu-IBL0_High%20dE/dx%20distribution">SR-Mu-IBL0_High dE/dx distribution</a></li> <li><a href="?table=SR-Trk-IBL1%20dE/dx%20distribution">SR-Trk-IBL1 dE/dx distribution</a></li> <li><a href="?table=SR-Mu-IBL1%20dE/dx%20distribution">SR-Mu-IBL1 dE/dx distribution</a></li> </ul> Discovery Signal Regions $p_{0}$ values <ul> <li><a href="?table=p0-values%20and%20model-independent%20limits,%20short%20regime">p0-values and model-independent limits, short regime</a></li> <li><a href="?table=p0-values%20and%20model-independent%20limits,%20long%20regime">p0-values and model-independent limits, long regime</a></li> </ul> Validation Region plots <ul> <li><a href="?table=VR-LowPt-Inclusive_High%20mass%20distribution">VR-LowPt-Inclusive_High mass distribution</a></li> <li><a href="?table=VR-HiEta-Inclusive%20mass%20distribution">VR-HiEta-Inclusive mass distribution</a></li> </ul> <ul> <li><a href="?table=VR-LowPt-Trk-IBL0_Low%20mass%20distribution">VR-LowPt-Trk-IBL0_Low mass distribution</a></li> <li><a href="?table=VR-LowPt-Mu-IBL0_Low%20mass%20distribution">VR-LowPt-Mu-IBL0_Low mass distribution</a></li> <li><a href="?table=VR-LowPt-Trk-IBL0_High%20mass%20distribution">VR-LowPt-Trk-IBL0_High mass distribution</a></li> <li><a href="?table=VR-LowPt-Mu-IBL0_High%20mass%20distribution">VR-LowPt-Mu-IBL0_High mass distribution</a></li> <li><a href="?table=VR-LowPt-Trk-IBL1%20mass%20distribution">VR-LowPt-Trk-IBL1 mass distribution</a></li> <li><a href="?table=VR-LowPt-Mu-IBL1%20mass%20distribution">VR-LowPt-Mu-IBL1 mass distribution</a></li> </ul> <ul> <li><a href="?table=VR-HiEta-Trk-IBL0_Low%20mass%20distribution">VR-HiEta-Trk-IBL0_Low mass distribution</a></li> <li><a href="?table=VR-HiEta-Mu-IBL0_Low%20mass%20distribution">VR-HiEta-Mu-IBL0_Low mass distribution</a></li> <li><a href="?table=VR-HiEta-Trk-IBL0_High%20mass%20distribution">VR-HiEta-Trk-IBL0_High mass distribution</a></li> <li><a href="?table=VR-HiEta-Mu-IBL0_High%20mass%20distribution">VR-HiEta-Mu-IBL0_High mass distribution</a></li> <li><a href="?table=VR-HiEta-Trk-IBL1%20mass%20distribution">VR-HiEta-Trk-IBL1 mass distribution</a></li> <li><a href="?table=VR-HiEta-Mu-IBL1%20mass%20distribution">VR-HiEta-Mu-IBL1 mass distribution</a></li> </ul> Mass vs. Lifetime limit plots <ul> <li><a href="?table=Mass%20Limit%20vs.%20Lifetime,%20R-hadron,%20Expected">Mass Limit vs. Lifetime, R-hadron, Expected</a></li> <li><a href="?table=Mass%20Limit%20vs.%20Lifetime,%20R-hadron,%20Observed">Mass Limit vs. Lifetime, R-hadron, Observed</a></li> <li><a href="?table=Mass%20Limit%20vs.%20Lifetime,%20R-hadron,%20compressed,%20Expected">Mass Limit vs. Lifetime, R-hadron, compressed, Expected</a></li> <li><a href="?table=Mass%20Limit%20vs.%20Lifetime,%20R-hadron,%20compressed,%20Observed">Mass Limit vs. Lifetime, R-hadron, compressed, Observed</a></li> <li><a href="?table=Mass%20Limit%20vs.%20Lifetime,%20Chargino,%20Expected">Mass Limit vs. Lifetime, Chargino, Expected</a></li> <li><a href="?table=Mass%20Limit%20vs.%20Lifetime,%20Chargino,%20Observed">Mass Limit vs. Lifetime, Chargino, Observed</a></li> <li><a href="?table=Mass%20Limit%20vs.%20Lifetime,%20Stau,%20Expected">Mass Limit vs. Lifetime, Stau, Expected</a></li> <li><a href="?table=Mass%20Limit%20vs.%20Lifetime,%20Stau,%20Observed">Mass Limit vs. Lifetime, Stau, Observed</a></li> </ul> Cross-section limit plots <ul> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%201ns">Cross Section Limit, R-hadron 1ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%203ns">Cross Section Limit, R-hadron 3ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%2010ns">Cross Section Limit, R-hadron 10ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%2030ns">Cross Section Limit, R-hadron 30ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%20Stable">Cross Section Limit, R-hadron Stable</a></li> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%20Compressed%201ns">Cross Section Limit, R-hadron Compressed 1ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%20Compressed%203ns">Cross Section Limit, R-hadron Compressed 3ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%20Compressed%2010ns">Cross Section Limit, R-hadron Compressed 10ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20R-hadron%20Compressed%2030ns">Cross Section Limit, R-hadron Compressed 30ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Chargino%201ns">Cross Section Limit, Chargino 1ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Chargino%204ns">Cross Section Limit, Chargino 4ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Chargino%2010ns">Cross Section Limit, Chargino 10ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Chargino%2030ns">Cross Section Limit, Chargino 30ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Chargino%20Stable">Cross Section Limit, Chargino Stable</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Stau%201ns">Cross Section Limit, Stau 1ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Stau%203ns">Cross Section Limit, Stau 3ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Stau%2010ns">Cross Section Limit, Stau 10ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Stau%2030ns">Cross Section Limit, Stau 30ns</a></li> <li><a href="?table=Cross%20Section%20Limit,%20Stau%20Stable">Cross Section Limit, Stau Stable</a></li> </ul> Signal Region events projected to other kinematic variables <ul> <li><a href="?table=SR-Inclusive_Low%20MET">SR-Inclusive_Low MET</a></li> <li><a href="?table=SR-Inclusive_High%20MET">SR-Inclusive_High MET</a></li> <li><a href="?table=SR-Inclusive_Low%20deltaPhi(MET,%20Track)">SR-Inclusive_Low deltaPhi(MET, Track)</a></li> <li><a href="?table=SR-Inclusive_High%20deltaPhi(MET,%20Track)">SR-Inclusive_High deltaPhi(MET, Track)</a></li> <li><a href="?table=SR-Inclusive_Low%20mT(MET,%20Track)">SR-Inclusive_Low mT(MET, Track)</a></li> <li><a href="?table=SR-Inclusive_High%20mT(MET,%20Track)">SR-Inclusive_High mT(MET, Track)</a></li> <li><a href="?table=SR-Inclusive_Low%20Leading%20jet%20pT">SR-Inclusive_Low Leading jet pT</a></li> <li><a href="?table=SR-Inclusive_High%20Leading%20jet%20pT">SR-Inclusive_High Leading jet pT</a></li> <li><a href="?table=SR-Inclusive_Low%20deltaPhi(Leading%20jet,%20Track)">SR-Inclusive_Low deltaPhi(Leading jet, Track)</a></li> <li><a href="?table=SR-Inclusive_High%20deltaPhi(Leading%20jet,%20Track)">SR-Inclusive_High deltaPhi(Leading jet, Track)</a></li> <li><a href="?table=SR-Inclusive_Low%20deltaPhi(MET,%20Leading%20jet)">SR-Inclusive_Low deltaPhi(MET, Leading jet)</a></li> <li><a href="?table=SR-Inclusive_High%20deltaPhi(MET,%20Leading%20jet)">SR-Inclusive_High deltaPhi(MET, Leading jet)</a></li> <li><a href="?table=SR-Inclusive_Low%20mT(MET,%20Leading%20jet)">SR-Inclusive_Low mT(MET, Leading jet)</a></li> <li><a href="?table=SR-Inclusive_High%20mT(MET,%20Leading%20jet)">SR-Inclusive_High mT(MET, Leading jet)</a></li> <li><a href="?table=SR-Inclusive_Low%20Effective%20mass">SR-Inclusive_Low Effective mass</a></li> <li><a href="?table=SR-Inclusive_High%20Effective%20mass">SR-Inclusive_High Effective mass</a></li> </ul> Acceptance and efficiency values for reinterpretation <ul> <li><a href="?table=Muon%20Reconstruction%20Efficiency%20distribution">Muon Reconstruction Efficiency distribution</a></li> <li><a href="?table=Muon%20Reconstruction%20Efficiency,%20R-hadron%20distribution">Muon Reconstruction Efficiency, R-hadron distribution</a></li> <li><a href="?table=Trigger%20Efficiency%20distribution">Trigger Efficiency distribution</a></li> <li><a href="?table=Event%20Selection%20Efficiency%20distribution">Event Selection Efficiency distribution</a></li> <li><a href="?table=Track%20Selection%20Efficiency%20distribution">Track Selection Efficiency distribution</a></li> <li><a href="?table=Mass%20Window%20Efficiency">Mass Window Efficiency</a></li> </ul> Acceptance and efficiency tables for signal samples <ul> <li><a href="?table=Acceptance,%20R-hadron">Acceptance, R-hadron</a></li> <li><a href="?table=Acceptance,%20R-hadron,%20compressed">Acceptance, R-hadron, compressed</a></li> <li><a href="?table=Acceptance,%20Chargino">Acceptance, Chargino</a></li> <li><a href="?table=Acceptance,%20Stau">Acceptance, Stau</a></li> </ul> <ul> <li><a href="?table=Event-level%20efficiency,%20R-hadron">Event-level efficiency, R-hadron</a></li> <li><a href="?table=Event-level%20efficiency,%20R-hadron,%20compressed">Event-level efficiency, R-hadron, compressed</a></li> <li><a href="?table=Event-level%20efficiency,%20Chargino">Event-level efficiency, Chargino</a></li> <li><a href="?table=Event-level%20efficiency,%20Stau">Event-level efficiency, Stau</a></li> </ul> <ul> <li><a href="?table=Efficiency,%20SR-Inclusve_High,%20R-hadron">Efficiency, SR-Inclusve_High, R-hadron</a></li> <li><a href="?table=Efficiency,%20SR-Inclusve_High,%20R-hadron,%20compressed">Efficiency, SR-Inclusve_High, R-hadron, compressed</a></li> <li><a href="?table=Efficiency,%20SR-Inclusve_High,%20Chargino">Efficiency, SR-Inclusve_High, Chargino</a></li> <li><a href="?table=Efficiency,%20SR-Inclusve_High,%20Stau">Efficiency, SR-Inclusve_High, Stau</a></li> </ul> <ul> <li><a href="?table=Efficiency,%20SR-Inclusive_Low,%20R-hadron">Efficiency, SR-Inclusive_Low, R-hadron</a></li> <li><a href="?table=Efficiency,%20SR-Inclusive_Low,%20R-hadron,%20compressed">Efficiency, SR-Inclusive_Low, R-hadron, compressed</a></li> <li><a href="?table=Efficiency,%20SR-Inclusive_Low,%20Chargino">Efficiency, SR-Inclusive_Low, Chargino</a></li> <li><a href="?table=Efficiency,%20SR-Inclusive_Low,%20Stau">Efficiency, SR-Inclusive_Low, Stau</a></li> </ul> Cut flow for signal samples <ul> <li><a href="?table=Cut%20Flow,%20R-hadron">Cut Flow, R-hadron</a></li> <li><a href="?table=Cut%20Flow,%20R-hadron,%20compressed">Cut Flow, R-hadron, compressed</a></li> <li><a href="?table=Cut%20Flow,%20Chargino">Cut Flow, Chargino</a></li> <li><a href="?table=Cut%20Flow,%20Stau">Cut Flow, Stau</a></li> </ul>

VR-LowPt-Inclusive_High VAR distribution

Comparison of the observed and expected VAR distributionsin VR-LowPt-Inclusive_High. The band on the expected background estimation indicates the total uncertainty of the estimation. Downward triangle markers at the bottom of the panels indicate there is no events observed in the corresponding bin, while upward triangle markers at the bottom panel indicate the observed data is beyond the range.

VR-HiEta-Inclusive VAR distribution

Comparison of the observed and expected VAR distributionsin VR-HiEta-Inclusive. The band on the expected background estimation indicates the total uncertainty of the estimation. Downward triangle markers at the bottom of the panels indicate there is no events observed in the corresponding bin, while upward triangle markers at the bottom panel indicate the observed data is beyond the range.

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Measurement of differential cross sections for the production of a Z boson in association with jets in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

Phys.Rev.D 108 (2023) 052004, 2023.

Inspire Record 2078067 DOI 10.17182/hepdata.115655

A measurement is presented of the production of Z bosons that decay into two electrons or muons in association with jets, in proton-proton collisions at a centre-of-mass energy of 13 TeV. The data were recorded by the CMS Collaboration at the LHC with an integrated luminosity of 35.9 fb$^{-1}$. The differential cross sections are measured as a function of the transverse momentum ($p_\mathrm{T}$) of the Z boson and the transverse momentum and rapidities of the five jets with largest $p_\mathrm{T}$. The jet multiplicity distribution is measured for up to eight jets. The hadronic activity in the events is estimated using the scalar sum of the $p_\mathrm{T}$ of all the jets. All measurements are unfolded to the stable particle-level and compared with predictions from various Monte Carlo event generators, as well as with expectations at leading and next-to-leading orders in perturbative quantum chromodynamics.

70 data tables

Table 1a

Measured cross section as a function of exclusive jet multiplicity, $N_{\text{jets}}$, and breakdown of the relative uncertainty.

Table 1b

Bin-to-bin correlation in the measured cross section as a function of exclusive jet multiplicity, $N_{\text{jets}}$.

Table 2a

Measured cross section as a function of the rapidity absolute value of the first jet, $|y(\text{j}_1)|$, and breakdown of the relative uncertainty.

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rivet Analysis
Differential $t\bar{t}$ cross-section measurements using boosted top quarks in the all-hadronic final state with 139 fb$^{-1}$ of ATLAS data

The ATLAS collaboration Aad, Georges ; Abbott, Braden Keim ; Abbott, D.C. ; et al.

JHEP 04 (2023) 080, 2023.

Inspire Record 2077575 DOI 10.17182/hepdata.115142

Measurements of single-, double-, and triple-differential cross-sections are presented for boosted top-quark pair-production in 13 $\text{TeV}$ proton-proton collisions recorded by the ATLAS detector at the LHC. The top quarks are observed through their hadronic decay and reconstructed as large-radius jets with the leading jet having transverse momentum ($p_{\text{T}}$) greater than 500 GeV. The observed data are unfolded to remove detector effects. The particle-level cross-section, multiplied by the $t\bar{t} \rightarrow W W b \bar{b}$ branching fraction and measured in a fiducial phase space defined by requiring the leading and second-leading jets to have $p_{\text{T}} > 500$ GeV and $p_{\text{T}} > 350$ GeV, respectively, is $331 \pm 3 \text{(stat.)} \pm 39 \text{(syst.)}$ fb. This is approximately 20$\%$ lower than the prediction of $398^{+48}_{-49}$ fb by Powheg+Pythia 8 with next-to-leading-order (NLO) accuracy but consistent within the theoretical uncertainties. Results are also presented at the parton level, where the effects of top-quark decay, parton showering, and hadronization are removed such that they can be compared with fixed-order next-to-next-to-leading-order (NNLO) calculations. The parton-level cross-section, measured in a fiducial phase space similar to that at particle level, is $1.94 \pm 0.02 \text{(stat.)} \pm 0.25 \text{(syst.)}$ pb. This agrees with the NNLO prediction of $1.96^{+0.02}_{-0.17}$ pb. Reasonable agreement with the differential cross-sections is found for most NLO models, while the NNLO calculations are generally in better agreement with the data. The differential cross-sections are interpreted using a Standard Model effective field-theory formalism and limits are set on Wilson coefficients of several four-fermion operators.

1011 data tables

Table of contents

- - - - - - - - Overview of HEPData Record - - - - - - - - Fiducial phase space definitions: Particle level: <ul> <li> NLEP = 0, E or MU, PT > 25 GeV, ABS ETA < 2.5 <li> NJETS >= 2, R = 1.0, 350 GeV < PT < 3000 GeV, ABS ETA < 2, M > 50 GeV <li> NJETS >= 1, R = 1.0, 500 GeV < PT < 3000 GeV, ABS ETA < 2, M > 50 GeV <li> T1, MIN ( ABS ( M - 172.5 GeV ) ), candidate JETS with PT > 500 GeV <li> T2, MIN ( ABS ( M - 172.5 GeV ) ), remaining candidate JETS with PT > 350 GeV <li> T1 and T2, 122.5 GeV < M < 222.5 GeV, ghost-matched B-HAD with PT > 5 GeV </ul> Parton level: <ul> <li> PT_T1 > 500 GeV, PT_T2 > 350 GeV </ul> Particle level: 1D: Spectra: <ul> <li>SIG (<a href="115142?table=Table 1">Table 1</a>) <li>DSIG/DPT_TOP (<a href="115142?table=Table 2">Table 2</a>) <li>DSIG/DABS_Y_TOP (<a href="115142?table=Table 3">Table 3</a>) <li>DSIG/DPT_T1 (<a href="115142?table=Table 4">Table 4</a>) <li>DSIG/DABS_Y_T1 (<a href="115142?table=Table 5">Table 5</a>) <li>DSIG/DPT_T2 (<a href="115142?table=Table 6">Table 6</a>) <li>DSIG/DABS_Y_T2 (<a href="115142?table=Table 7">Table 7</a>) <li>DSIG/DM_TTBAR (<a href="115142?table=Table 8">Table 8</a>) <li>DSIG/DPT_TTBAR (<a href="115142?table=Table 9">Table 9</a>) <li>DSIG/DABS_Y_TTBAR (<a href="115142?table=Table 10">Table 10</a>) <li>DSIG/DCHI_TTBAR (<a href="115142?table=Table 11">Table 11</a>) <li>DSIG/DABS_Y_BOOST (<a href="115142?table=Table 12">Table 12</a>) <li>DSIG/DABS_POUT (<a href="115142?table=Table 13">Table 13</a>) <li>DSIG/DABS_DPHI_TTBAR (<a href="115142?table=Table 14">Table 14</a>) <li>DSIG/DHT_TTBAR (<a href="115142?table=Table 15">Table 15</a>) <li>DSIG/DABS_COS_THETA_STAR (<a href="115142?table=Table 16">Table 16</a>) <li>1/SIG*DSIG/DPT_TOP (<a href="115142?table=Table 74">Table 74</a>) <li>1/SIG*DSIG/DABS_Y_TOP (<a href="115142?table=Table 75">Table 75</a>) <li>1/SIG*DSIG/DPT_T1 (<a href="115142?table=Table 76">Table 76</a>) <li>1/SIG*DSIG/DABS_Y_T1 (<a href="115142?table=Table 77">Table 77</a>) <li>1/SIG*DSIG/DPT_T2 (<a href="115142?table=Table 78">Table 78</a>) <li>1/SIG*DSIG/DABS_Y_T2 (<a href="115142?table=Table 79">Table 79</a>) <li>1/SIG*DSIG/DM_TTBAR (<a href="115142?table=Table 80">Table 80</a>) <li>1/SIG*DSIG/DPT_TTBAR (<a href="115142?table=Table 81">Table 81</a>) <li>1/SIG*DSIG/DABS_Y_TTBAR (<a href="115142?table=Table 82">Table 82</a>) <li>1/SIG*DSIG/DCHI_TTBAR (<a href="115142?table=Table 83">Table 83</a>) <li>1/SIG*DSIG/DABS_Y_BOOST (<a href="115142?table=Table 84">Table 84</a>) <li>1/SIG*DSIG/DABS_POUT (<a href="115142?table=Table 85">Table 85</a>) <li>1/SIG*DSIG/DABS_DPHI_TTBAR (<a href="115142?table=Table 86">Table 86</a>) <li>1/SIG*DSIG/DHT_TTBAR (<a href="115142?table=Table 87">Table 87</a>) <li>1/SIG*DSIG/DABS_COS_THETA_STAR (<a href="115142?table=Table 88">Table 88</a>) </ul> Covariances: <ul> <li>DSIG/DPT_TOP (<a href="115142?table=Table 291">Table 291</a>) <li>DSIG/DABS_Y_TOP (<a href="115142?table=Table 292">Table 292</a>) <li>DSIG/DPT_T1 (<a href="115142?table=Table 293">Table 293</a>) <li>DSIG/DABS_Y_T1 (<a href="115142?table=Table 294">Table 294</a>) <li>DSIG/DPT_T2 (<a href="115142?table=Table 295">Table 295</a>) <li>DSIG/DABS_Y_T2 (<a href="115142?table=Table 296">Table 296</a>) <li>DSIG/DM_TTBAR (<a href="115142?table=Table 297">Table 297</a>) <li>DSIG/DPT_TTBAR (<a href="115142?table=Table 298">Table 298</a>) <li>DSIG/DABS_Y_TTBAR (<a href="115142?table=Table 299">Table 299</a>) <li>DSIG/DCHI_TTBAR (<a href="115142?table=Table 300">Table 300</a>) <li>DSIG/DABS_Y_BOOST (<a href="115142?table=Table 301">Table 301</a>) <li>DSIG/DABS_POUT (<a href="115142?table=Table 302">Table 302</a>) <li>DSIG/DABS_DPHI_TTBAR (<a href="115142?table=Table 303">Table 303</a>) <li>DSIG/DHT_TTBAR (<a href="115142?table=Table 304">Table 304</a>) <li>DSIG/DABS_COS_THETA_STAR (<a href="115142?table=Table 305">Table 305</a>) <li>1/SIG*DSIG/DPT_TOP (<a href="115142?table=Table 471">Table 471</a>) <li>1/SIG*DSIG/DABS_Y_TOP (<a href="115142?table=Table 472">Table 472</a>) <li>1/SIG*DSIG/DPT_T1 (<a href="115142?table=Table 473">Table 473</a>) <li>1/SIG*DSIG/DABS_Y_T1 (<a href="115142?table=Table 474">Table 474</a>) <li>1/SIG*DSIG/DPT_T2 (<a href="115142?table=Table 475">Table 475</a>) <li>1/SIG*DSIG/DABS_Y_T2 (<a href="115142?table=Table 476">Table 476</a>) <li>1/SIG*DSIG/DM_TTBAR (<a href="115142?table=Table 477">Table 477</a>) <li>1/SIG*DSIG/DPT_TTBAR (<a href="115142?table=Table 478">Table 478</a>) <li>1/SIG*DSIG/DABS_Y_TTBAR (<a href="115142?table=Table 479">Table 479</a>) <li>1/SIG*DSIG/DCHI_TTBAR (<a href="115142?table=Table 480">Table 480</a>) <li>1/SIG*DSIG/DABS_Y_BOOST (<a href="115142?table=Table 481">Table 481</a>) <li>1/SIG*DSIG/DABS_POUT (<a href="115142?table=Table 482">Table 482</a>) <li>1/SIG*DSIG/DABS_DPHI_TTBAR (<a href="115142?table=Table 483">Table 483</a>) <li>1/SIG*DSIG/DHT_TTBAR (<a href="115142?table=Table 484">Table 484</a>) <li>1/SIG*DSIG/DABS_COS_THETA_STAR (<a href="115142?table=Table 485">Table 485</a>) </ul> 2D: Spectra: <ul> <li>D2SIG/DPT_T2/DPT_T1 (0.50 TeV < PT_T1 < 0.55 TeV) (<a href="115142?table=Table 17">Table 17</a>) <li>D2SIG/DPT_T2/DPT_T1 (0.55 TeV < PT_T1 < 0.60 TeV) (<a href="115142?table=Table 18">Table 18</a>) <li>D2SIG/DPT_T2/DPT_T1 (0.60 TeV < PT_T1 < 0.75 TeV) (<a href="115142?table=Table 19">Table 19</a>) <li>D2SIG/DPT_T2/DPT_T1 (0.75 TeV < PT_T1 < 2.00 TeV) (<a href="115142?table=Table 20">Table 20</a>) <li>D2SIG/DABS_Y_T2/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 21">Table 21</a>) <li>D2SIG/DABS_Y_T2/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 22">Table 22</a>) <li>D2SIG/DABS_Y_T2/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 23">Table 23</a>) <li>D2SIG/DABS_Y_T2/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 24">Table 24</a>) <li>D2SIG/DPT_T1/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 25">Table 25</a>) <li>D2SIG/DPT_T1/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 26">Table 26</a>) <li>D2SIG/DPT_T1/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 27">Table 27</a>) <li>D2SIG/DPT_T1/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 28">Table 28</a>) <li>D2SIG/DPT_T2/DABS_Y_T2 (0.0 < ABS_Y_T2 < 0.2) (<a href="115142?table=Table 29">Table 29</a>) <li>D2SIG/DPT_T2/DABS_Y_T2 (0.2 < ABS_Y_T2 < 0.5) (<a href="115142?table=Table 30">Table 30</a>) <li>D2SIG/DPT_T2/DABS_Y_T2 (0.5 < ABS_Y_T2 < 1.0) (<a href="115142?table=Table 31">Table 31</a>) <li>D2SIG/DPT_T2/DABS_Y_T2 (1.0 < ABS_Y_T2 < 2.0) (<a href="115142?table=Table 32">Table 32</a>) <li>D2SIG/DPT_TTBAR/DPT_T1 (0.500 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 33">Table 33</a>) <li>D2SIG/DPT_TTBAR/DPT_T1 (0.550 TeV < PT_T1 < 0.625 TeV) (<a href="115142?table=Table 34">Table 34</a>) <li>D2SIG/DPT_TTBAR/DPT_T1 (0.625 TeV < PT_T1 < 0.750 TeV) (<a href="115142?table=Table 35">Table 35</a>) <li>D2SIG/DPT_TTBAR/DPT_T1 (0.750 TeV < PT_T1 < 2.000 TeV) (<a href="115142?table=Table 36">Table 36</a>) <li>D2SIG/DM_TTBAR/DPT_T1 (0.500 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 37">Table 37</a>) <li>D2SIG/DM_TTBAR/DPT_T1 (0.550 TeV < PT_T1 < 0.625 TeV) (<a href="115142?table=Table 38">Table 38</a>) <li>D2SIG/DM_TTBAR/DPT_T1 (0.625 TeV < PT_T1 < 0.750 TeV) (<a href="115142?table=Table 39">Table 39</a>) <li>D2SIG/DM_TTBAR/DPT_T1 (0.750 TeV < PT_T1 < 2.000 TeV) (<a href="115142?table=Table 40">Table 40</a>) <li>D2SIG/DPT_T1/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 41">Table 41</a>) <li>D2SIG/DPT_T1/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 42">Table 42</a>) <li>D2SIG/DPT_T1/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 43">Table 43</a>) <li>D2SIG/DPT_T1/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 44">Table 44</a>) <li>D2SIG/DABS_Y_T1/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 45">Table 45</a>) <li>D2SIG/DABS_Y_T1/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 46">Table 46</a>) <li>D2SIG/DABS_Y_T1/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 47">Table 47</a>) <li>D2SIG/DABS_Y_T1/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 48">Table 48</a>) <li>D2SIG/DM_TTBAR/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 49">Table 49</a>) <li>D2SIG/DM_TTBAR/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 50">Table 50</a>) <li>D2SIG/DM_TTBAR/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 51">Table 51</a>) <li>D2SIG/DM_TTBAR/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 52">Table 52</a>) <li>D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 53">Table 53</a>) <li>D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 54">Table 54</a>) <li>D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 55">Table 55</a>) <li>D2SIG/DM_TTBAR/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 56">Table 56</a>) <li>D2SIG/DM_TTBAR/PT_TTBAR (0.00 TeV < PT_TTBAR < 0.10 TeV) (<a href="115142?table=Table 57">Table 57</a>) <li>D2SIG/DM_TTBAR/PT_TTBAR (0.10 TeV < PT_TTBAR < 0.20 TeV) (<a href="115142?table=Table 58">Table 58</a>) <li>D2SIG/DM_TTBAR/PT_TTBAR (0.20 TeV < PT_TTBAR < 0.35 TeV) (<a href="115142?table=Table 59">Table 59</a>) <li>D2SIG/DM_TTBAR/PT_TTBAR (0.35 TeV < PT_TTBAR < 1.00 TeV) (<a href="115142?table=Table 60">Table 60</a>) <li>D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 61">Table 61</a>) <li>D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 62">Table 62</a>) <li>D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 63">Table 63</a>) <li>D2SIG/PT_TTBAR/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 64">Table 64</a>) <li>1/SIG*D2SIG/DPT_T2/DPT_T1 (0.50 TeV < PT_T1 < 0.55 TeV) (<a href="115142?table=Table 89">Table 89</a>) <li>1/SIG*D2SIG/DPT_T2/DPT_T1 (0.55 TeV < PT_T1 < 0.60 TeV) (<a href="115142?table=Table 90">Table 90</a>) <li>1/SIG*D2SIG/DPT_T2/DPT_T1 (0.60 TeV < PT_T1 < 0.75 TeV) (<a href="115142?table=Table 91">Table 91</a>) <li>1/SIG*D2SIG/DPT_T2/DPT_T1 (0.75 TeV < PT_T1 < 2.00 TeV) (<a href="115142?table=Table 92">Table 92</a>) <li>1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 93">Table 93</a>) <li>1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 94">Table 94</a>) <li>1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 95">Table 95</a>) <li>1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 96">Table 96</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 97">Table 97</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 98">Table 98</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 99">Table 99</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 100">Table 100</a>) <li>1/SIG*D2SIG/DPT_T2/DABS_Y_T2 (0.0 < ABS_Y_T2 < 0.2) (<a href="115142?table=Table 101">Table 101</a>) <li>1/SIG*D2SIG/DPT_T2/DABS_Y_T2 (0.2 < ABS_Y_T2 < 0.5) (<a href="115142?table=Table 102">Table 102</a>) <li>1/SIG*D2SIG/DPT_T2/DABS_Y_T2 (0.5 < ABS_Y_T2 < 1.0) (<a href="115142?table=Table 103">Table 103</a>) <li>1/SIG*D2SIG/DPT_T2/DABS_Y_T2 (1.0 < ABS_Y_T2 < 2.0) (<a href="115142?table=Table 104">Table 104</a>) <li>1/SIG*D2SIG/DPT_TTBAR/DPT_T1 (0.500 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 105">Table 105</a>) <li>1/SIG*D2SIG/DPT_TTBAR/DPT_T1 (0.550 TeV < PT_T1 < 0.625 TeV) (<a href="115142?table=Table 106">Table 106</a>) <li>1/SIG*D2SIG/DPT_TTBAR/DPT_T1 (0.625 TeV < PT_T1 < 0.750 TeV) (<a href="115142?table=Table 107">Table 107</a>) <li>1/SIG*D2SIG/DPT_TTBAR/DPT_T1 (0.750 TeV < PT_T1 < 2.000 TeV) (<a href="115142?table=Table 108">Table 108</a>) <li>1/SIG*D2SIG/DM_TTBAR/DPT_T1 (0.500 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 109">Table 109</a>) <li>1/SIG*D2SIG/DM_TTBAR/DPT_T1 (0.550 TeV < PT_T1 < 0.625 TeV) (<a href="115142?table=Table 110">Table 110</a>) <li>1/SIG*D2SIG/DM_TTBAR/DPT_T1 (0.625 TeV < PT_T1 < 0.750 TeV) (<a href="115142?table=Table 111">Table 111</a>) <li>1/SIG*D2SIG/DM_TTBAR/DPT_T1 (0.750 TeV < PT_T1 < 2.000 TeV) (<a href="115142?table=Table 112">Table 112</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 113">Table 113</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 114">Table 114</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 115">Table 115</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 116">Table 116</a>) <li>1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 117">Table 117</a>) <li>1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 118">Table 118</a>) <li>1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 119">Table 119</a>) <li>1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 120">Table 120</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 121">Table 121</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 122">Table 122</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 123">Table 123</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 124">Table 124</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 125">Table 125</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 126">Table 126</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 127">Table 127</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 128">Table 128</a>) <li>1/SIG*D2SIG/DM_TTBAR/PT_TTBAR (0.00 TeV < PT_TTBAR < 0.10 TeV) (<a href="115142?table=Table 129">Table 129</a>) <li>1/SIG*D2SIG/DM_TTBAR/PT_TTBAR (0.10 TeV < PT_TTBAR < 0.20 TeV) (<a href="115142?table=Table 130">Table 130</a>) <li>1/SIG*D2SIG/DM_TTBAR/PT_TTBAR (0.20 TeV < PT_TTBAR < 0.35 TeV) (<a href="115142?table=Table 131">Table 131</a>) <li>1/SIG*D2SIG/DM_TTBAR/PT_TTBAR (0.35 TeV < PT_TTBAR < 1.00 TeV) (<a href="115142?table=Table 132">Table 132</a>) <li>1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 133">Table 133</a>) <li>1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 134">Table 134</a>) <li>1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 135">Table 135</a>) <li>1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 136">Table 136</a>) </ul> Covariances: <ul> <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 306">Table 306</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 307">Table 307</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 308">Table 308</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 309">Table 309</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 310">Table 310</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 311">Table 311</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 312">Table 312</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 313">Table 313</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 314">Table 314</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 315">Table 315</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 316">Table 316</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 317">Table 317</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 318">Table 318</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 319">Table 319</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 320">Table 320</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 321">Table 321</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 322">Table 322</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 323">Table 323</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 324">Table 324</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 325">Table 325</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 326">Table 326</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 327">Table 327</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 328">Table 328</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 329">Table 329</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 330">Table 330</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 331">Table 331</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 332">Table 332</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 333">Table 333</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 334">Table 334</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 335">Table 335</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 1st bins of ABS_Y_T2 (<a href="115142?table=Table 336">Table 336</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 2nd bins of ABS_Y_T2 (<a href="115142?table=Table 337">Table 337</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 338">Table 338</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 339">Table 339</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 2nd bins of ABS_Y_T2 (<a href="115142?table=Table 340">Table 340</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 341">Table 341</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 342">Table 342</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 3rd and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 343">Table 343</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 3rd and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 344">Table 344</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 4th and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 345">Table 345</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 346">Table 346</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 347">Table 347</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 348">Table 348</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 349">Table 349</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 350">Table 350</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 351">Table 351</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 352">Table 352</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 353">Table 353</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 354">Table 354</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 355">Table 355</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 356">Table 356</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 357">Table 357</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 358">Table 358</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 359">Table 359</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 360">Table 360</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 361">Table 361</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 362">Table 362</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 363">Table 363</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 364">Table 364</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 365">Table 365</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 366">Table 366</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 367">Table 367</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 368">Table 368</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 369">Table 369</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 370">Table 370</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 371">Table 371</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 372">Table 372</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 373">Table 373</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 374">Table 374</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 375">Table 375</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 376">Table 376</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 377">Table 377</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 378">Table 378</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 379">Table 379</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 380">Table 380</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 381">Table 381</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 382">Table 382</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 383">Table 383</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 384">Table 384</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 385">Table 385</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 386">Table 386</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 387">Table 387</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 388">Table 388</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 389">Table 389</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 390">Table 390</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 391">Table 391</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 392">Table 392</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 393">Table 393</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 394">Table 394</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 395">Table 395</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 396">Table 396</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 397">Table 397</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 398">Table 398</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 399">Table 399</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 400">Table 400</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 401">Table 401</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 402">Table 402</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 403">Table 403</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 404">Table 404</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 405">Table 405</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 1st bins of PT_TTBAR (<a href="115142?table=Table 406">Table 406</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 2nd bins of PT_TTBAR (<a href="115142?table=Table 407">Table 407</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 3rd bins of PT_TTBAR (<a href="115142?table=Table 408">Table 408</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 4th bins of PT_TTBAR (<a href="115142?table=Table 409">Table 409</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 2nd bins of PT_TTBAR (<a href="115142?table=Table 410">Table 410</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 3rd bins of PT_TTBAR (<a href="115142?table=Table 411">Table 411</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 4th bins of PT_TTBAR (<a href="115142?table=Table 412">Table 412</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 3rd and 3rd bins of PT_TTBAR (<a href="115142?table=Table 413">Table 413</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 3rd and 4th bins of PT_TTBAR (<a href="115142?table=Table 414">Table 414</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 4th and 4th bins of PT_TTBAR (<a href="115142?table=Table 415">Table 415</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 416">Table 416</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 417">Table 417</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 418">Table 418</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 419">Table 419</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 420">Table 420</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 421">Table 421</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 422">Table 422</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 423">Table 423</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 424">Table 424</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 425">Table 425</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 486">Table 486</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 487">Table 487</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 488">Table 488</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 489">Table 489</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 490">Table 490</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 491">Table 491</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 492">Table 492</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 493">Table 493</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 494">Table 494</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 495">Table 495</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 496">Table 496</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 497">Table 497</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 498">Table 498</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 499">Table 499</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 500">Table 500</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 501">Table 501</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 502">Table 502</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 503">Table 503</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 504">Table 504</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 505">Table 505</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 506">Table 506</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 507">Table 507</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 508">Table 508</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 509">Table 509</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 510">Table 510</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 511">Table 511</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 512">Table 512</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 513">Table 513</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 514">Table 514</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 515">Table 515</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 1st bins of ABS_Y_T2 (<a href="115142?table=Table 516">Table 516</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 2nd bins of ABS_Y_T2 (<a href="115142?table=Table 517">Table 517</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 518">Table 518</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 519">Table 519</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 2nd bins of ABS_Y_T2 (<a href="115142?table=Table 520">Table 520</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 521">Table 521</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 522">Table 522</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 3rd and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 523">Table 523</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 3rd and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 524">Table 524</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 4th and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 525">Table 525</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 526">Table 526</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 527">Table 527</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 528">Table 528</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 529">Table 529</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 530">Table 530</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 531">Table 531</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 532">Table 532</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 533">Table 533</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 534">Table 534</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 535">Table 535</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 536">Table 536</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 537">Table 537</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 538">Table 538</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 539">Table 539</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 540">Table 540</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 541">Table 541</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 542">Table 542</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 543">Table 543</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 544">Table 544</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 545">Table 545</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 546">Table 546</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 547">Table 547</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 548">Table 548</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 549">Table 549</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 550">Table 550</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 551">Table 551</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 552">Table 552</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 553">Table 553</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 554">Table 554</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 555">Table 555</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 556">Table 556</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 557">Table 557</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 558">Table 558</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 559">Table 559</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 560">Table 560</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 561">Table 561</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 562">Table 562</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 563">Table 563</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 564">Table 564</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 565">Table 565</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 566">Table 566</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 567">Table 567</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 568">Table 568</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 569">Table 569</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 570">Table 570</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 571">Table 571</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 572">Table 572</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 573">Table 573</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 574">Table 574</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 575">Table 575</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 576">Table 576</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 577">Table 577</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 578">Table 578</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 579">Table 579</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 580">Table 580</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 581">Table 581</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 582">Table 582</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 583">Table 583</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 584">Table 584</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 585">Table 585</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 1st bins of PT_TTBAR (<a href="115142?table=Table 586">Table 586</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 2nd bins of PT_TTBAR (<a href="115142?table=Table 587">Table 587</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 3rd bins of PT_TTBAR (<a href="115142?table=Table 588">Table 588</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 4th bins of PT_TTBAR (<a href="115142?table=Table 589">Table 589</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 2nd bins of PT_TTBAR (<a href="115142?table=Table 590">Table 590</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 3rd bins of PT_TTBAR (<a href="115142?table=Table 591">Table 591</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 4th bins of PT_TTBAR (<a href="115142?table=Table 592">Table 592</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 3rd and 3rd bins of PT_TTBAR (<a href="115142?table=Table 593">Table 593</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 3rd and 4th bins of PT_TTBAR (<a href="115142?table=Table 594">Table 594</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 4th and 4th bins of PT_TTBAR (<a href="115142?table=Table 595">Table 595</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 596">Table 596</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 597">Table 597</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 598">Table 598</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 599">Table 599</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 600">Table 600</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 601">Table 601</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 602">Table 602</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 603">Table 603</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 604">Table 604</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 605">Table 605</a>) </ul> 3D: Spectra: <ul> <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 65">Table 65</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 66">Table 66</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 67">Table 67</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 68">Table 68</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 69">Table 69</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 70">Table 70</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 71">Table 71</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 72">Table 72</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 73">Table 73</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 137">Table 137</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 138">Table 138</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 139">Table 139</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 140">Table 140</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 141">Table 141</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 142">Table 142</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 143">Table 143</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 144">Table 144</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 145">Table 145</a>) </ul> Covariances: <ul> <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 426">Table 426</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 427">Table 427</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 428">Table 428</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 429">Table 429</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 430">Table 430</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 431">Table 431</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 432">Table 432</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 433">Table 433</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 434">Table 434</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 435">Table 435</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 436">Table 436</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 437">Table 437</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 438">Table 438</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 439">Table 439</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 440">Table 440</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 441">Table 441</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 442">Table 442</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 443">Table 443</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 444">Table 444</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 445">Table 445</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 446">Table 446</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 447">Table 447</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 448">Table 448</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 449">Table 449</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 450">Table 450</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 451">Table 451</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 452">Table 452</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 453">Table 453</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 454">Table 454</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 455">Table 455</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 456">Table 456</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 457">Table 457</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 458">Table 458</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 459">Table 459</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 460">Table 460</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 461">Table 461</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 462">Table 462</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 463">Table 463</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 464">Table 464</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 465">Table 465</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 466">Table 466</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 467">Table 467</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 468">Table 468</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 469">Table 469</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 470">Table 470</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 606">Table 606</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 607">Table 607</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 608">Table 608</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 609">Table 609</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 610">Table 610</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 611">Table 611</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 612">Table 612</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 613">Table 613</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 614">Table 614</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 615">Table 615</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 616">Table 616</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 617">Table 617</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 618">Table 618</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 619">Table 619</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 620">Table 620</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 621">Table 621</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 622">Table 622</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 623">Table 623</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 624">Table 624</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 625">Table 625</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 626">Table 626</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 627">Table 627</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 628">Table 628</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 629">Table 629</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 630">Table 630</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 631">Table 631</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 632">Table 632</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 633">Table 633</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 634">Table 634</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 635">Table 635</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 636">Table 636</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 637">Table 637</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 638">Table 638</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 639">Table 639</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 640">Table 640</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 641">Table 641</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 642">Table 642</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 643">Table 643</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 644">Table 644</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 645">Table 645</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 646">Table 646</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 647">Table 647</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 648">Table 648</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 649">Table 649</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 650">Table 650</a>) </ul> Parton level: 1D: Spectra: <ul> <li>SIG (<a href="115142?table=Table 146">Table 146</a>) <li>DSIG/DPT_TOP (<a href="115142?table=Table 147">Table 147</a>) <li>DSIG/DABS_Y_TOP (<a href="115142?table=Table 148">Table 148</a>) <li>DSIG/DPT_T1 (<a href="115142?table=Table 149">Table 149</a>) <li>DSIG/DABS_Y_T1 (<a href="115142?table=Table 150">Table 150</a>) <li>DSIG/DPT_T2 (<a href="115142?table=Table 151">Table 151</a>) <li>DSIG/DABS_Y_T2 (<a href="115142?table=Table 152">Table 152</a>) <li>DSIG/DM_TTBAR (<a href="115142?table=Table 153">Table 153</a>) <li>DSIG/DPT_TTBAR (<a href="115142?table=Table 154">Table 154</a>) <li>DSIG/DABS_Y_TTBAR (<a href="115142?table=Table 155">Table 155</a>) <li>DSIG/DCHI_TTBAR (<a href="115142?table=Table 156">Table 156</a>) <li>DSIG/DABS_Y_BOOST (<a href="115142?table=Table 157">Table 157</a>) <li>DSIG/DABS_POUT (<a href="115142?table=Table 158">Table 158</a>) <li>DSIG/DABS_DPHI_TTBAR (<a href="115142?table=Table 159">Table 159</a>) <li>DSIG/DHT_TTBAR (<a href="115142?table=Table 160">Table 160</a>) <li>DSIG/DABS_COS_THETA_STAR (<a href="115142?table=Table 161">Table 161</a>) <li>1/SIG*DSIG/DPT_TOP (<a href="115142?table=Table 219">Table 219</a>) <li>1/SIG*DSIG/DABS_Y_TOP (<a href="115142?table=Table 220">Table 220</a>) <li>1/SIG*DSIG/DPT_T1 (<a href="115142?table=Table 221">Table 221</a>) <li>1/SIG*DSIG/DABS_Y_T1 (<a href="115142?table=Table 222">Table 222</a>) <li>1/SIG*DSIG/DPT_T2 (<a href="115142?table=Table 223">Table 223</a>) <li>1/SIG*DSIG/DABS_Y_T2 (<a href="115142?table=Table 224">Table 224</a>) <li>1/SIG*DSIG/DM_TTBAR (<a href="115142?table=Table 225">Table 225</a>) <li>1/SIG*DSIG/DPT_TTBAR (<a href="115142?table=Table 226">Table 226</a>) <li>1/SIG*DSIG/DABS_Y_TTBAR (<a href="115142?table=Table 227">Table 227</a>) <li>1/SIG*DSIG/DCHI_TTBAR (<a href="115142?table=Table 228">Table 228</a>) <li>1/SIG*DSIG/DABS_Y_BOOST (<a href="115142?table=Table 229">Table 229</a>) <li>1/SIG*DSIG/DABS_POUT (<a href="115142?table=Table 230">Table 230</a>) <li>1/SIG*DSIG/DABS_DPHI_TTBAR (<a href="115142?table=Table 231">Table 231</a>) <li>1/SIG*DSIG/DHT_TTBAR (<a href="115142?table=Table 232">Table 232</a>) <li>1/SIG*DSIG/DABS_COS_THETA_STAR (<a href="115142?table=Table 233">Table 233</a>) </ul> Covariances: <ul> <li>DSIG/DPT_TOP (<a href="115142?table=Table 651">Table 651</a>) <li>DSIG/DABS_Y_TOP (<a href="115142?table=Table 652">Table 652</a>) <li>DSIG/DPT_T1 (<a href="115142?table=Table 653">Table 653</a>) <li>DSIG/DABS_Y_T1 (<a href="115142?table=Table 654">Table 654</a>) <li>DSIG/DPT_T2 (<a href="115142?table=Table 655">Table 655</a>) <li>DSIG/DABS_Y_T2 (<a href="115142?table=Table 656">Table 656</a>) <li>DSIG/DM_TTBAR (<a href="115142?table=Table 657">Table 657</a>) <li>DSIG/DPT_TTBAR (<a href="115142?table=Table 658">Table 658</a>) <li>DSIG/DABS_Y_TTBAR (<a href="115142?table=Table 659">Table 659</a>) <li>DSIG/DCHI_TTBAR (<a href="115142?table=Table 660">Table 660</a>) <li>DSIG/DABS_Y_BOOST (<a href="115142?table=Table 661">Table 661</a>) <li>DSIG/DABS_POUT (<a href="115142?table=Table 662">Table 662</a>) <li>DSIG/DABS_DPHI_TTBAR (<a href="115142?table=Table 663">Table 663</a>) <li>DSIG/DHT_TTBAR (<a href="115142?table=Table 664">Table 664</a>) <li>DSIG/DABS_COS_THETA_STAR (<a href="115142?table=Table 665">Table 665</a>) <li>1/SIG*DSIG/DPT_TOP (<a href="115142?table=Table 831">Table 831</a>) <li>1/SIG*DSIG/DABS_Y_TOP (<a href="115142?table=Table 832">Table 832</a>) <li>1/SIG*DSIG/DPT_T1 (<a href="115142?table=Table 833">Table 833</a>) <li>1/SIG*DSIG/DABS_Y_T1 (<a href="115142?table=Table 834">Table 834</a>) <li>1/SIG*DSIG/DPT_T2 (<a href="115142?table=Table 835">Table 835</a>) <li>1/SIG*DSIG/DABS_Y_T2 (<a href="115142?table=Table 836">Table 836</a>) <li>1/SIG*DSIG/DM_TTBAR (<a href="115142?table=Table 837">Table 837</a>) <li>1/SIG*DSIG/DPT_TTBAR (<a href="115142?table=Table 838">Table 838</a>) <li>1/SIG*DSIG/DABS_Y_TTBAR (<a href="115142?table=Table 839">Table 839</a>) <li>1/SIG*DSIG/DCHI_TTBAR (<a href="115142?table=Table 840">Table 840</a>) <li>1/SIG*DSIG/DABS_Y_BOOST (<a href="115142?table=Table 841">Table 841</a>) <li>1/SIG*DSIG/DABS_POUT (<a href="115142?table=Table 842">Table 842</a>) <li>1/SIG*DSIG/DABS_DPHI_TTBAR (<a href="115142?table=Table 843">Table 843</a>) <li>1/SIG*DSIG/DHT_TTBAR (<a href="115142?table=Table 844">Table 844</a>) <li>1/SIG*DSIG/DABS_COS_THETA_STAR (<a href="115142?table=Table 845">Table 845</a>) </ul> 2D: Spectra: <ul> <li>D2SIG/DPT_T2/DPT_T1 (0.50 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 162">Table 162</a>) <li>D2SIG/DPT_T2/DPT_T1 (0.55 TeV < PT_T1 < 0.60 TeV) (<a href="115142?table=Table 163">Table 163</a>) <li>D2SIG/DPT_T2/DPT_T1 (0.60 TeV < PT_T1 < 0.75 TeV) (<a href="115142?table=Table 164">Table 164</a>) <li>D2SIG/DPT_T2/DPT_T1 (0.75 TeV < PT_T1 < 2.00 TeV) (<a href="115142?table=Table 165">Table 165</a>) <li>D2SIG/DABS_Y_T2/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 166">Table 166</a>) <li>D2SIG/DABS_Y_T2/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 167">Table 167</a>) <li>D2SIG/DABS_Y_T2/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 168">Table 168</a>) <li>D2SIG/DABS_Y_T2/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 169">Table 169</a>) <li>D2SIG/DPT_T1/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 170">Table 170</a>) <li>D2SIG/DPT_T1/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 171">Table 171</a>) <li>D2SIG/DPT_T1/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 172">Table 172</a>) <li>D2SIG/DPT_T1/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 173">Table 173</a>) <li>D2SIG/DPT_T2/DABS_Y_T2 (0.0 < ABS_Y_T2 < 0.2) (<a href="115142?table=Table 174">Table 174</a>) <li>D2SIG/DPT_T2/DABS_Y_T2 (0.2 < ABS_Y_T2 < 0.5) (<a href="115142?table=Table 175">Table 175</a>) <li>D2SIG/DPT_T2/DABS_Y_T2 (0.5 < ABS_Y_T2 < 1.0) (<a href="115142?table=Table 176">Table 176</a>) <li>D2SIG/DPT_T2/DABS_Y_T2 (1.0 < ABS_Y_T2 < 2.0) (<a href="115142?table=Table 177">Table 177</a>) <li>D2SIG/DPT_TTBAR/DPT_T1 (0.500 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 178">Table 178</a>) <li>D2SIG/DPT_TTBAR/DPT_T1 (0.550 TeV < PT_T1 < 0.625 TeV) (<a href="115142?table=Table 179">Table 179</a>) <li>D2SIG/DPT_TTBAR/DPT_T1 (0.625 TeV < PT_T1 < 0.750 TeV) (<a href="115142?table=Table 180">Table 180</a>) <li>D2SIG/DPT_TTBAR/DPT_T1 (0.750 TeV < PT_T1 < 2.000 TeV) (<a href="115142?table=Table 181">Table 181</a>) <li>D2SIG/DM_TTBAR/DPT_T1 (0.500 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 182">Table 182</a>) <li>D2SIG/DM_TTBAR/DPT_T1 (0.550 TeV < PT_T1 < 0.625 TeV) (<a href="115142?table=Table 183">Table 183</a>) <li>D2SIG/DM_TTBAR/DPT_T1 (0.625 TeV < PT_T1 < 0.750 TeV) (<a href="115142?table=Table 184">Table 184</a>) <li>D2SIG/DM_TTBAR/DPT_T1 (0.750 TeV < PT_T1 < 2.000 TeV) (<a href="115142?table=Table 185">Table 185</a>) <li>D2SIG/DPT_T1/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 186">Table 186</a>) <li>D2SIG/DPT_T1/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 187">Table 187</a>) <li>D2SIG/DPT_T1/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 188">Table 188</a>) <li>D2SIG/DPT_T1/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 189">Table 189</a>) <li>D2SIG/DY_T1/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 190">Table 190</a>) <li>D2SIG/DY_T1/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 191">Table 191</a>) <li>D2SIG/DY_T1/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 192">Table 192</a>) <li>D2SIG/DY_T1/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 193">Table 193</a>) <li>D2SIG/DM_TTBAR/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 194">Table 194</a>) <li>D2SIG/DM_TTBAR/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 195">Table 195</a>) <li>D2SIG/DM_TTBAR/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 196">Table 196</a>) <li>D2SIG/DM_TTBAR/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 197">Table 197</a>) <li>D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 198">Table 198</a>) <li>D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 199">Table 199</a>) <li>D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 200">Table 200</a>) <li>D2SIG/DM_TTBAR/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 201">Table 201</a>) <li>D2SIG/DM_TTBAR/PT_TTBAR (0.00 TeV < PT_TTBAR < 0.10 TeV) (<a href="115142?table=Table 202">Table 202</a>) <li>D2SIG/DM_TTBAR/PT_TTBAR (0.10 TeV < PT_TTBAR < 0.20 TeV) (<a href="115142?table=Table 203">Table 203</a>) <li>D2SIG/DM_TTBAR/PT_TTBAR (0.20 TeV < PT_TTBAR < 0.35 TeV) (<a href="115142?table=Table 204">Table 204</a>) <li>D2SIG/DM_TTBAR/PT_TTBAR (0.35 TeV < PT_TTBAR < 1.00 TeV) (<a href="115142?table=Table 205">Table 205</a>) <li>D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 206">Table 206</a>) <li>D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 207">Table 207</a>) <li>D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 208">Table 208</a>) <li>D2SIG/PT_TTBAR/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 209">Table 209</a>) <li>1/SIG*D2SIG/DPT_T2/DPT_T1 (0.50 TeV < PT_T1 < 0.55 TeV) (<a href="115142?table=Table 234">Table 234</a>) <li>1/SIG*D2SIG/DPT_T2/DPT_T1 (0.55 TeV < PT_T1 < 0.60 TeV) (<a href="115142?table=Table 235">Table 235</a>) <li>1/SIG*D2SIG/DPT_T2/DPT_T1 (0.60 TeV < PT_T1 < 0.75 TeV) (<a href="115142?table=Table 236">Table 236</a>) <li>1/SIG*D2SIG/DPT_T2/DPT_T1 (0.75 TeV < PT_T1 < 2.00 TeV) (<a href="115142?table=Table 237">Table 237</a>) <li>1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 238">Table 238</a>) <li>1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 239">Table 239</a>) <li>1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 240">Table 240</a>) <li>1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 241">Table 241</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 242">Table 242</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 243">Table 243</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 244">Table 244</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 245">Table 245</a>) <li>1/SIG*D2SIG/DPT_T2/DABS_Y_T2 (0.0 < ABS_Y_T2 < 0.2) (<a href="115142?table=Table 246">Table 246</a>) <li>1/SIG*D2SIG/DPT_T2/DABS_Y_T2 (0.2 < ABS_Y_T2 < 0.5) (<a href="115142?table=Table 247">Table 247</a>) <li>1/SIG*D2SIG/DPT_T2/DABS_Y_T2 (0.5 < ABS_Y_T2 < 1.0) (<a href="115142?table=Table 248">Table 248</a>) <li>1/SIG*D2SIG/DPT_T2/DABS_Y_T2 (1.0 < ABS_Y_T2 < 2.0) (<a href="115142?table=Table 249">Table 249</a>) <li>1/SIG*D2SIG/DPT_TTBAR/DPT_T1 (0.500 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 250">Table 250</a>) <li>1/SIG*D2SIG/DPT_TTBAR/DPT_T1 (0.550 TeV < PT_T1 < 0.625 TeV) (<a href="115142?table=Table 251">Table 251</a>) <li>1/SIG*D2SIG/DPT_TTBAR/DPT_T1 (0.625 TeV < PT_T1 < 0.750 TeV) (<a href="115142?table=Table 252">Table 252</a>) <li>1/SIG*D2SIG/DPT_TTBAR/DPT_T1 (0.750 TeV < PT_T1 < 2.000 TeV) (<a href="115142?table=Table 253">Table 253</a>) <li>1/SIG*D2SIG/DM_TTBAR/DPT_T1 (0.500 TeV < PT_T1 < 0.550 TeV) (<a href="115142?table=Table 254">Table 254</a>) <li>1/SIG*D2SIG/DM_TTBAR/DPT_T1 (0.550 TeV < PT_T1 < 0.625 TeV) (<a href="115142?table=Table 255">Table 255</a>) <li>1/SIG*D2SIG/DM_TTBAR/DPT_T1 (0.625 TeV < PT_T1 < 0.750 TeV) (<a href="115142?table=Table 256">Table 256</a>) <li>1/SIG*D2SIG/DM_TTBAR/DPT_T1 (0.750 TeV < PT_T1 < 2.000 TeV) (<a href="115142?table=Table 257">Table 257</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 258">Table 258</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 259">Table 259</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 260">Table 260</a>) <li>1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 261">Table 261</a>) <li>1/SIG*D2SIG/DY_T1/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 262">Table 262</a>) <li>1/SIG*D2SIG/DY_T1/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 263">Table 263</a>) <li>1/SIG*D2SIG/DY_T1/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 264">Table 264</a>) <li>1/SIG*D2SIG/DY_T1/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 265">Table 265</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 (0.0 < ABS_Y_T1 < 0.2) (<a href="115142?table=Table 266">Table 266</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 (0.2 < ABS_Y_T1 < 0.5) (<a href="115142?table=Table 267">Table 267</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 (0.5 < ABS_Y_T1 < 1.0) (<a href="115142?table=Table 268">Table 268</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 (1.0 < ABS_Y_T1 < 2.0) (<a href="115142?table=Table 269">Table 269</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 270">Table 270</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 271">Table 271</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 272">Table 272</a>) <li>1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 273">Table 273</a>) <li>1/SIG*D2SIG/DM_TTBAR/PT_TTBAR (0.00 TeV < PT_TTBAR < 0.10 TeV) (<a href="115142?table=Table 274">Table 274</a>) <li>1/SIG*D2SIG/DM_TTBAR/PT_TTBAR (0.10 TeV < PT_TTBAR < 0.20 TeV) (<a href="115142?table=Table 275">Table 275</a>) <li>1/SIG*D2SIG/DM_TTBAR/PT_TTBAR (0.20 TeV < PT_TTBAR < 0.35 TeV) (<a href="115142?table=Table 276">Table 276</a>) <li>1/SIG*D2SIG/DM_TTBAR/PT_TTBAR (0.35 TeV < PT_TTBAR < 1.00 TeV) (<a href="115142?table=Table 277">Table 277</a>) <li>1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.0 < ABS_Y_TTBAR < 0.2) (<a href="115142?table=Table 278">Table 278</a>) <li>1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.2 < ABS_Y_TTBAR < 0.5) (<a href="115142?table=Table 279">Table 279</a>) <li>1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR (0.5 < ABS_Y_TTBAR < 1.0) (<a href="115142?table=Table 280">Table 280</a>) <li>1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR (1.0 < ABS_Y_TTBAR < 2.0) (<a href="115142?table=Table 281">Table 281</a>) </ul> Covariances: <ul> <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 666">Table 666</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 667">Table 667</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 668">Table 668</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 669">Table 669</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 670">Table 670</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 671">Table 671</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 672">Table 672</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 673">Table 673</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 674">Table 674</a>) <li>Matrix for D2SIG/DPT_T2/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 675">Table 675</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 676">Table 676</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 677">Table 677</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 678">Table 678</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 679">Table 679</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 680">Table 680</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 681">Table 681</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 682">Table 682</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 683">Table 683</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 684">Table 684</a>) <li>Matrix for D2SIG/DABS_Y_T2/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 685">Table 685</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 686">Table 686</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 687">Table 687</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 688">Table 688</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 689">Table 689</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 690">Table 690</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 691">Table 691</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 692">Table 692</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 693">Table 693</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 694">Table 694</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 695">Table 695</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 1st bins of ABS_Y_T2 (<a href="115142?table=Table 696">Table 696</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 2nd bins of ABS_Y_T2 (<a href="115142?table=Table 697">Table 697</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 698">Table 698</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 699">Table 699</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 2nd bins of ABS_Y_T2 (<a href="115142?table=Table 700">Table 700</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 701">Table 701</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 702">Table 702</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 3rd and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 703">Table 703</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 3rd and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 704">Table 704</a>) <li>Matrix for D2SIG/DPT_T2/DABS_Y_T2 between the 4th and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 705">Table 705</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 706">Table 706</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 707">Table 707</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 708">Table 708</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 709">Table 709</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 710">Table 710</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 711">Table 711</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 712">Table 712</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 713">Table 713</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 714">Table 714</a>) <li>Matrix for D2SIG/DPT_TTBAR/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 715">Table 715</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 716">Table 716</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 717">Table 717</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 718">Table 718</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 719">Table 719</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 720">Table 720</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 721">Table 721</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 722">Table 722</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 723">Table 723</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 724">Table 724</a>) <li>Matrix for D2SIG/DM_TTBAR/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 725">Table 725</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 726">Table 726</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 727">Table 727</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 728">Table 728</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 729">Table 729</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 730">Table 730</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 731">Table 731</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 732">Table 732</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 733">Table 733</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 734">Table 734</a>) <li>Matrix for D2SIG/DPT_T1/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 735">Table 735</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 736">Table 736</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 737">Table 737</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 738">Table 738</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 739">Table 739</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 740">Table 740</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 741">Table 741</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 742">Table 742</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 743">Table 743</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 744">Table 744</a>) <li>Matrix for D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 745">Table 745</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 746">Table 746</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 747">Table 747</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 748">Table 748</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 749">Table 749</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 750">Table 750</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 751">Table 751</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 752">Table 752</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 753">Table 753</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 754">Table 754</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 755">Table 755</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 756">Table 756</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 757">Table 757</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 758">Table 758</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 759">Table 759</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 760">Table 760</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 761">Table 761</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 762">Table 762</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 763">Table 763</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 764">Table 764</a>) <li>Matrix for D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 765">Table 765</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 1st bins of PT_TTBAR (<a href="115142?table=Table 766">Table 766</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 2nd bins of PT_TTBAR (<a href="115142?table=Table 767">Table 767</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 3rd bins of PT_TTBAR (<a href="115142?table=Table 768">Table 768</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 4th bins of PT_TTBAR (<a href="115142?table=Table 769">Table 769</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 2nd bins of PT_TTBAR (<a href="115142?table=Table 770">Table 770</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 3rd bins of PT_TTBAR (<a href="115142?table=Table 771">Table 771</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 4th bins of PT_TTBAR (<a href="115142?table=Table 772">Table 772</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 3rd and 3rd bins of PT_TTBAR (<a href="115142?table=Table 773">Table 773</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 3rd and 4th bins of PT_TTBAR (<a href="115142?table=Table 774">Table 774</a>) <li>Matrix for D2SIG/DM_TTBAR/PT_TTBAR between the 4th and 4th bins of PT_TTBAR (<a href="115142?table=Table 775">Table 775</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 776">Table 776</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 777">Table 777</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 778">Table 778</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 779">Table 779</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 780">Table 780</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 781">Table 781</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 782">Table 782</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 783">Table 783</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 784">Table 784</a>) <li>Matrix for D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 785">Table 785</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 846">Table 846</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 847">Table 847</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 848">Table 848</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 849">Table 849</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 850">Table 850</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 851">Table 851</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 852">Table 852</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 853">Table 853</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 854">Table 854</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 855">Table 855</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 856">Table 856</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 857">Table 857</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 858">Table 858</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 859">Table 859</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 860">Table 860</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 861">Table 861</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 862">Table 862</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 863">Table 863</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 864">Table 864</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T2/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 865">Table 865</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 866">Table 866</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 867">Table 867</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 868">Table 868</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 869">Table 869</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 870">Table 870</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 871">Table 871</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 872">Table 872</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 873">Table 873</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 874">Table 874</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 875">Table 875</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 1st bins of ABS_Y_T2 (<a href="115142?table=Table 876">Table 876</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 2nd bins of ABS_Y_T2 (<a href="115142?table=Table 877">Table 877</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 878">Table 878</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 1st and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 879">Table 879</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 2nd bins of ABS_Y_T2 (<a href="115142?table=Table 880">Table 880</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 881">Table 881</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 2nd and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 882">Table 882</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 3rd and 3rd bins of ABS_Y_T2 (<a href="115142?table=Table 883">Table 883</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 3rd and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 884">Table 884</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T2/DABS_Y_T2 between the 4th and 4th bins of ABS_Y_T2 (<a href="115142?table=Table 885">Table 885</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 886">Table 886</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 887">Table 887</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 888">Table 888</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 889">Table 889</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 890">Table 890</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 891">Table 891</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 892">Table 892</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 893">Table 893</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 894">Table 894</a>) <li>Matrix for 1/SIG*D2SIG/DPT_TTBAR/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 895">Table 895</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 1st and 1st bins of PT_T1 (<a href="115142?table=Table 896">Table 896</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 1st and 2nd bins of PT_T1 (<a href="115142?table=Table 897">Table 897</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 1st and 3rd bins of PT_T1 (<a href="115142?table=Table 898">Table 898</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 1st and 4th bins of PT_T1 (<a href="115142?table=Table 899">Table 899</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 2nd bins of PT_T1 (<a href="115142?table=Table 900">Table 900</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 3rd bins of PT_T1 (<a href="115142?table=Table 901">Table 901</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 2nd and 4th bins of PT_T1 (<a href="115142?table=Table 902">Table 902</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 3rd and 3rd bins of PT_T1 (<a href="115142?table=Table 903">Table 903</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 3rd and 4th bins of PT_T1 (<a href="115142?table=Table 904">Table 904</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DPT_T1 between the 4th and 4th bins of PT_T1 (<a href="115142?table=Table 905">Table 905</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 906">Table 906</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 907">Table 907</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 908">Table 908</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 909">Table 909</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 910">Table 910</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 911">Table 911</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 912">Table 912</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 913">Table 913</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 914">Table 914</a>) <li>Matrix for 1/SIG*D2SIG/DPT_T1/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 915">Table 915</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 916">Table 916</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 917">Table 917</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 918">Table 918</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 919">Table 919</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 920">Table 920</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 921">Table 921</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 922">Table 922</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 923">Table 923</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 924">Table 924</a>) <li>Matrix for 1/SIG*D2SIG/DABS_Y_T1/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 925">Table 925</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 1st bins of ABS_Y_T1 (<a href="115142?table=Table 926">Table 926</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 927">Table 927</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 928">Table 928</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 1st and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 929">Table 929</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 2nd bins of ABS_Y_T1 (<a href="115142?table=Table 930">Table 930</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 931">Table 931</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 2nd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 932">Table 932</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 3rd and 3rd bins of ABS_Y_T1 (<a href="115142?table=Table 933">Table 933</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 3rd and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 934">Table 934</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_T1 between the 4th and 4th bins of ABS_Y_T1 (<a href="115142?table=Table 935">Table 935</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 936">Table 936</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 937">Table 937</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 938">Table 938</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 939">Table 939</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 940">Table 940</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 941">Table 941</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 942">Table 942</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 943">Table 943</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 944">Table 944</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 945">Table 945</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 1st bins of PT_TTBAR (<a href="115142?table=Table 946">Table 946</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 2nd bins of PT_TTBAR (<a href="115142?table=Table 947">Table 947</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 3rd bins of PT_TTBAR (<a href="115142?table=Table 948">Table 948</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 1st and 4th bins of PT_TTBAR (<a href="115142?table=Table 949">Table 949</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 2nd bins of PT_TTBAR (<a href="115142?table=Table 950">Table 950</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 3rd bins of PT_TTBAR (<a href="115142?table=Table 951">Table 951</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 2nd and 4th bins of PT_TTBAR (<a href="115142?table=Table 952">Table 952</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 3rd and 3rd bins of PT_TTBAR (<a href="115142?table=Table 953">Table 953</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 3rd and 4th bins of PT_TTBAR (<a href="115142?table=Table 954">Table 954</a>) <li>Matrix for 1/SIG*D2SIG/DM_TTBAR/PT_TTBAR between the 4th and 4th bins of PT_TTBAR (<a href="115142?table=Table 955">Table 955</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 1st bins of ABS_Y_TTBAR (<a href="115142?table=Table 956">Table 956</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 957">Table 957</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 958">Table 958</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 1st and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 959">Table 959</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 2nd bins of ABS_Y_TTBAR (<a href="115142?table=Table 960">Table 960</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 961">Table 961</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 2nd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 962">Table 962</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 3rd and 3rd bins of ABS_Y_TTBAR (<a href="115142?table=Table 963">Table 963</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 3rd and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 964">Table 964</a>) <li>Matrix for 1/SIG*D2SIG/PT_TTBAR/DABS_Y_TTBAR between the 4th and 4th bins of ABS_Y_TTBAR (<a href="115142?table=Table 965">Table 965</a>) </ul> 3D: Spectra: <ul> <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 210">Table 210</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 211">Table 211</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 212">Table 212</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 213">Table 213</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 214">Table 214</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 215">Table 215</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 216">Table 216</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 217">Table 217</a>) <li>D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 218">Table 218</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 282">Table 282</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 283">Table 283</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.0 < ABS_Y_TTBAR < 0.3, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 284">Table 284</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 285">Table 285</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 286">Table 286</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.3 < ABS_Y_TTBAR < 0.9, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 287">Table 287</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 0.9 TeV < M_TTBAR < 1.2 TeV) (<a href="115142?table=Table 288">Table 288</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 1.2 TeV < M_TTBAR < 1.5 TeV) (<a href="115142?table=Table 289">Table 289</a>) <li>1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR (0.9 < ABS_Y_TTBAR < 2.0, 1.5 TeV < M_TTBAR < 4.0 TeV) (<a href="115142?table=Table 290">Table 290</a>) </ul> Covariances: <ul> <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 786">Table 786</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 787">Table 787</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 788">Table 788</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 789">Table 789</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 790">Table 790</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 791">Table 791</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 792">Table 792</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 793">Table 793</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 794">Table 794</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 795">Table 795</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 796">Table 796</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 797">Table 797</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 798">Table 798</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 799">Table 799</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 800">Table 800</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 801">Table 801</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 802">Table 802</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 803">Table 803</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 804">Table 804</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 805">Table 805</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 806">Table 806</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 807">Table 807</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 808">Table 808</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 809">Table 809</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 810">Table 810</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 811">Table 811</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 812">Table 812</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 813">Table 813</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 814">Table 814</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 815">Table 815</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 816">Table 816</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 817">Table 817</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 818">Table 818</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 819">Table 819</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 820">Table 820</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 821">Table 821</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 822">Table 822</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 823">Table 823</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 824">Table 824</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 825">Table 825</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 826">Table 826</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 827">Table 827</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 828">Table 828</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 829">Table 829</a>) <li>Matrix for D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 830">Table 830</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 966">Table 966</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 967">Table 967</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 968">Table 968</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 969">Table 969</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 970">Table 970</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 971">Table 971</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 972">Table 972</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 973">Table 973</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 974">Table 974</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 975">Table 975</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 976">Table 976</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 977">Table 977</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 978">Table 978</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 979">Table 979</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 980">Table 980</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 981">Table 981</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 982">Table 982</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 983">Table 983</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 984">Table 984</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 985">Table 985</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 986">Table 986</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 987">Table 987</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 988">Table 988</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (1st, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 989">Table 989</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 990">Table 990</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 991">Table 991</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 992">Table 992</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 993">Table 993</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 994">Table 994</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 995">Table 995</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 996">Table 996</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 997">Table 997</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 998">Table 998</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 999">Table 999</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1000">Table 1000</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1001">Table 1001</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1002">Table 1002</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1003">Table 1003</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (2nd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1004">Table 1004</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1005">Table 1005</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1006">Table 1006</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 1st) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1007">Table 1007</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1008">Table 1008</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 2nd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1009">Table 1009</a>) <li>Matrix for 1/SIG*D3SIG/DPT_T1/DABS_Y_TTBAR/DM_TTBAR between the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) and the (3rd, 3rd) bin of (ABS_Y_TTBAR, M_TTBAR) (<a href="115142?table=Table 1010">Table 1010</a>) </ul>

Table 1

Fiducial phase-space cross-section at particle level.

Table 2

$p_{T}^{t}$ absolute differential cross-section at particle level.

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Nuclear modification of $\Upsilon$ states in pPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Ambrogi, Federico ; et al.

Phys.Lett.B 835 (2022) 137397, 2022.

Inspire Record 2037640 DOI 10.17182/hepdata.88291

Production cross sections of $\Upsilon$(1S), $\Upsilon$(2S), and $\Upsilon$(3S) states decaying into $\mu^+\mu^-$ in proton-lead (pPb) collisions are reported using data collected by the CMS experiment at $\sqrt{s_\mathrm{NN}} =$ 5.02 TeV. A comparison is made with corresponding cross sections obtained with pp data measured at the same collision energy and scaled by the Pb nucleus mass number. The nuclear modification factor for $\Upsilon$(1S) is found to be $R_\mathrm{pPb}(\Upsilon(1S))$ = 0.806 $\pm$ 0.024 (stat) $\pm$ 0.059 (syst). Similar results for the excited states indicate a sequential suppression pattern, such that $R_\mathrm{pPb}(\Upsilon(1S))$$\gt$$R_\mathrm{pPb}(\Upsilon(2S))$$\gt$$R_\mathrm{pPb}(\Upsilon(3S))$. The suppression is much less pronounced in pPb than in PbPb collisions, and independent of transverse momentum $p_\mathrm{T}^\Upsilon$ and center-of-mass rapidity $y_\mathrm{CM}^\Upsilon$ of the individual $\Upsilon$ state in the studied range $p_\mathrm{T}^\Upsilon$$\lt$ 30 GeV$/c$ and $\vert y_\mathrm{CM}^\Upsilon\vert$$\lt$ 1.93. Models that incorporate sequential suppression of bottomonia in pPb collisions are in better agreement with the data than those which only assume initial-state modifications.

31 data tables

Table 1

Differential cross section times dimuon branching fraction of Y(1S) as a function of pT in pPb collisions. The global uncertainty arises from the integrated luminosity uncertainty in pPb collisions.

Table 2

Differential cross section times dimuon branching fraction of Y(2S) as a function of pT in pPb collisions. The global uncertainty arises from the integrated luminosity uncertainty in pPb collisions.

Table 3

Differential cross section times dimuon branching fraction of Y(3S) as a function of pT in pPb collisions. The global uncertainty arises from the integrated luminosity uncertainty in pPb collisions.

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Two-particle Bose-Einstein correlations in pp collisions at ${\sqrt{s} = 13}$ TeV measured with the ATLAS detector at the LHC

The ATLAS collaboration Aad, Georges ; Abbott, Braden Keim ; Abbott, Dale ; et al.

Eur.Phys.J.C 82 (2022) 608, 2022.

Inspire Record 2027827 DOI 10.17182/hepdata.132012

This paper presents studies of Bose-Einstein correlations (BEC) in proton-proton collisions at a centre-of-mass energy of 13 TeV, using data from the ATLAS detector at the CERN Large Hadron Collider. Data were collected in a special low-luminosity configuration with a minimum-bias trigger and a high-multiplicity track trigger, accumulating integrated luminosities of 151 $\mu$b$^{-1}$ and 8.4 nb$^{-1}$ respectively. The BEC are measured for pairs of like-sign charged particles, each with $|\eta|$ < 2.5, for two kinematic ranges: the first with particle $p_T$ > 100 MeV and the second with particle $p_T$ > 500 MeV. The BEC parameters, characterizing the source radius and particle correlation strength, are investigated as functions of charged-particle multiplicity (up to 300) and average transverse momentum of the pair (up to 1.5 GeV). The double-differential dependence on charged-particle multiplicity and average transverse momentum of the pair is also studied. The BEC radius is found to be independent of the charged-particle multiplicity for high charged-particle multiplicity (above 100), confirming a previous observation at lower energy. This saturation occurs independent of the transverse momentum of the pair.

154 data tables

Figure 1a

Comparison of single-ratio two-particle correlation functions, C2data(Q) and C2MC(Q), with the two-particle double-ratio correlation function, R2(Q), for the high-multiplicity track (HMT) events using the opposite hemisphere (OHP) like-charge particles pairs reference sample for kT - interval 1000 < kT ≤ 1500 MeV.

Figure 1b

Comparison of single-ratio two-particle correlation functions, C2data(Q) and C2MC(Q), with the two-particle double-ratio correlation function, R2(Q), for the high-multiplicity track (HMT) events using the unlike-charge particle (UCP) pairs reference sample for kT - interval 1000 < kT ≤ 1500 MeV.

Figure 2a

The Bose-Einstein correlation (BEC) parameter R as a function of nch for MB events using different MC generators in the calculation of R2(Q). The uncertainties shown are statistical. The lower panel of each plot shows the ratio of the BEC parameters obtained using EPOS LHC (red circles), Pythia 8 Monash (blue squares) and Herwig++ UE-EE-5 (green triangles) compared with the parameters obtained using Pythia 8 A2. The gray band in the lower panels is the MC systematic uncertainty, obtained as explained in the text.

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Search for resonances decaying to three W bosons in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

Phys.Rev.Lett. 129 (2022) 021802, 2022.

Inspire Record 2015402 DOI 10.17182/hepdata.102646

A search for resonances decaying into a W boson and a radion, where the radion decays into two W bosons, is presented. The data analyzed correspond to an integrated luminosity of 138 fb$^{-1}$ recorded in proton-proton collisions with the CMS detector at $\sqrt{s} =$ 13 TeV. One isolated charged lepton is required, together with missing transverse momentum and one or two massive large-radius jets, containing the decay products of either two or one W bosons, respectively. No excess over the background estimation is observed. The results are combined with those from a complementary channel with an all-hadronic final state, described in an accompanying paper. Limits are set on parameters of an extended warped extra-dimensional model. These searches are the first of their kind at the LHC.

11 data tables

m_jjlnu distribution in SR4

Post-fit distributions of the reconstructed $\ell\nu$+jets system ($m_{\mathrm{j}\ell\nu}$, $m_{\mathrm{jj}\ell\nu}$) in data and simulation for SR4.

Observed upper limits on the signal cross section

Observed upper limits at 95\% \CL on the signal cross section $\times$ branching fraction as functions of the $m_{\mathrm{W}_{\mathrm{KK}}}$ and $m_{\mathrm{R}}$ resonance masses after combinign with an analysis of the all-hadronic final state.

Expected median lower limit contour on the masses

Expected median lower limit contour on the $m_{\mathrm{W}_{\mathrm{KK}}}$ and $m_{\mathrm{R}}$ plane after combinign with an analysis of the all-hadronic final state.

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Version 2
Measurements of Higgs boson production cross-sections in the $H\to\tau^{+}\tau^{-}$ decay channel in $pp$ collisions at $\sqrt{s}=13\,\text{TeV}$ with the ATLAS detector

The ATLAS collaboration Aad, Georges ; Abbott, Braden Keim ; Abbott, Dale ; et al.

JHEP 08 (2022) 175, 2022.

Inspire Record 2014187 DOI 10.17182/hepdata.115994

Measurements of the production cross-sections of the Standard Model (SM) Higgs boson ($H$) decaying into a pair of $\tau$-leptons are presented. The measurements use data collected with the ATLAS detector from $pp$ collisions produced at the Large Hadron Collider at a centre-of-mass energy of $\sqrt{s}=13\,\text{TeV}$, corresponding to an integrated luminosity of $139\,\text{fb}^{-1}$. Leptonic ($\tau\to\ell\nu_{\ell}\nu_{\tau}$) and hadronic ($\tau\to\text{hadrons}~\nu_{\tau}$) decays of the $\tau$-lepton are considered. All measurements account for the branching ratio of $H\to\tau\tau$ and are performed with a requirement $|y_H|<2.5$, where $y_H$ is the true Higgs boson rapidity. The cross-section of the $pp\to H\to\tau\tau$ process is measured to be $2.94 \pm 0.21 \text{(stat)} ^{+\,0.37}_{-\,0.32} \text{(syst)}$ pb, in agreement with the SM prediction of $3.17\pm0.09~ \mbox{pb}$. Inclusive cross-sections are determined separately for the four dominant production modes: $2.65 \pm 0.41 \text{(stat)} ^{+\,0.91}_{-\,0.67} \text{(syst)}$ pb for gluon$-$gluon fusion, $0.197 \pm 0.028 \text{(stat)} ^{+\,0.032}_{-\,0.026} \text{(syst)}$ pb for vector-boson fusion, $0.115 \pm 0.058 \text{(stat)} ^{+\,0.042}_{-\,0.040} \text{(syst)}$ pb for vector-boson associated production, and $0.033 \pm 0.031 \text{(stat)} ^{+\,0.022}_{-\,0.017} \text{(syst)}$ pb for top-quark pair associated production. Measurements in exclusive regions of the phase space, using the simplified template cross-section framework, are also performed. All results are in agreement with the SM predictions.

72 data tables

Table 1

Observed yields in the boost_0_1J signal region category of the hh channel.

Table 1

Observed yields in the boost_0_1J signal region category of the hh channel.

Table 2

Observed yields in the boost_0_ge2J signal region category of the hh channel.

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Version 3
Measurement of the inclusive and differential $\mathrm{t\bar{t}}\gamma$ cross sections in the dilepton channel and effective field theory interpretation in proton-proton collisions at $\sqrt{s}$ =13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

JHEP 05 (2022) 091, 2022.

Inspire Record 2013377 DOI 10.17182/hepdata.113657

The production cross section of a top quark pair in association with a photon is measured in proton-proton collisions in the decay channel with two oppositely charged leptons (e$^\pm\mu^\mp$, e$^+$e$^-$, or $\mu^+\mu^-$). The measurement is performed using 138 fb$^{-1}$ of proton-proton collision data recorded by the CMS experiment at $\sqrt{s} =$ 13 TeV during the 2016-2018 data-taking period of the CERN LHC. A fiducial phase space is defined such that photons radiated by initial-state particles, top quarks, or any of their decay products are included. An inclusive cross section of 175.2 $\pm$ 2.5 (stat) $\pm$ 6.3 (syst) fb is measured in a signal region with at least one jet coming from the hadronization of a bottom quark and exactly one photon with transverse momentum above 20 GeV. Differential cross sections are measured as functions of several kinematic observables of the photon, leptons, and jets, and compared to standard model predictions. The measurements are also interpreted in the standard model effective field theory framework, and limits are found on the relevant Wilson coefficients from these results alone and in combination with a previous CMS measurement of the $\mathrm{t\bar{t}}\gamma$ production process using the lepton+jets final state.

64 data tables

Figure 6a

Observed and predicted event yields as a function of $p_{T}(\gamma)$ in the $e\mu$ channel, after the fit to the data.

Figure 6b

Observed and predicted event yields as a function of $p_{T}(\gamma)$ in the $ee$ channel, after the fit to the data.

Figure 6c

Observed and predicted event yields as a function of $p_{T}(\gamma)$ in the $\mu\mu$ channel, after the fit to the data.

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Search for resonances decaying to three W bosons in the hadronic final state in proton-proton collisions at $\sqrt{s} =$ 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

Phys.Rev.D 106 (2022) 012002, 2022.

Inspire Record 2000816 DOI 10.17182/hepdata.115182

A search for Kaluza-Klein excited vector boson resonances, $W_\mathrm{KK}$, decaying in cascade to three W bosons via a scalar radion $R, W_\mathrm{KK}\to WR \to WWW$, with two or three massive jets is presented. The search is performed with proton-proton collision data recorded at $\sqrt{s} =$ 13 TeV, collected by the CMS experiment at the CERN LHC, during 2016-2018, corresponding to an integrated luminosity of 138 fb$^{-1}$. Two final states are simultaneously probed, one where the two W bosons produced by the R decay are reconstructed as separate, large-radius, massive jets, and one where they are merged in a single large-radius jet. The observed data are in agreement with the standard model expectations. Limits are set on the product of the $W_\mathrm{KK}$ resonance cross section and branching fraction to three W bosons in an extended warped extra-dimensional model and are the first of their kind at the LHC.

38 data tables

m_jj distribution at PS2

Distribution of $m_{\mathrm{jj}}$ for preselected events with $\mathrm{N}_{j}$ = 2

m_j distribution at PS2

Distribution of $m_{\mathrm{j}}$ for preselected events with $\mathrm{N}_{j}$ = 2

deep-WH distribution at PS2

Distribution of the deep-WH value of the highest-mass jet with $m_{\mathrm{j}}$ > 100 GeV for preselected events with $\mathrm{N}_{j}$ = 2

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A search for an unexpected asymmetry in the production of $e^+ \mu^-$ and $e^- \mu^+$ pairs in proton-proton collisions recorded by the ATLAS detector at $\sqrt s = 13$ TeV

The ATLAS collaboration Aad, Georges ; Abbott, Braden Keim ; Abbott, Dale ; et al.

Phys.Lett.B 830 (2022) 137106, 2022.

Inspire Record 1990948 DOI 10.17182/hepdata.115579

This search, a type not previously performed at ATLAS, uses a comparison of the production cross sections for $e^+ \mu^-$ and $e^- \mu^+$ pairs to constrain physics processes beyond the Standard Model. It uses $139 \text{fb}^{-1}$ of proton$-$proton collision data recorded at $\sqrt{s} = 13$ TeV at the LHC. Targeting sources of new physics which prefer final states containing $e^{+}\mu^{-}$ to $e^{-}\mu^{+}$, the search contains two broad signal regions which are used to provide model-independent constraints on the ratio of cross sections at the 2% level. The search also has two special selections targeting supersymmetric models and leptoquark signatures. Observations using one of these selections are able to exclude, at 95% confidence level, singly produced smuons with masses up to 640 GeV in a model in which the only other light sparticle is a neutralino when the $R$-parity-violating coupling $\lambda'_{231}$ is close to unity. Observations using the other selection exclude scalar leptoquarks with masses below 1880 GeV when $g_{\text{1R}}^{eu}=g_{\text{1R}}^{\mu c}=1$, at 95% confidence level. The limit on the coupling reduces to $g_{\text{1R}}^{eu}=g_{\text{1R}}^{\mu c}=0.46$ for a mass of 1420 GeV.

26 data tables

SR-RPV and SR-LQ yields

Observed yields, and (post-fit) expected yields for the data-driven SM estimates. Yields are shown for the benchmark RPV-supersymmetry signal points in SR-RPV and the leptoquark signal points in SR-LQ after a fit excluding the $e^{+}\mu^{-}$ signal region and setting $\mu_{\text{sig}}=1$. Small weights correcting for muon charge biases affect all rows except that containing the fake-lepton estimate. These weights, $w_i$, cause non-integer yields. The uncertainties, $\sqrt{\sum_i w_i^2}$, are given for data to support the choice made to model the yields with a Poisson distribution.

Obs RPV-SUSY limit lambdap231 1p0

The observed exclusion contour at 95% CL as a function of the smuon and neutralino masses, for $\lambda_{231}^{'}=1.0$.

Exp RPV-SUSY limit lambdap231 1p0

The expected exclusion contour at 95% CL as a function of the smuon and neutralino masses, for $\lambda_{231}^{'}=1.0$.

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Inclusive and differential cross section measurements of single top quark production in association with a Z boson in proton-proton collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

JHEP 02 (2022) 107, 2022.

Inspire Record 1961177 DOI 10.17182/hepdata.105865

Inclusive and differential cross sections of single top quark production in association with a Z boson are measured in proton-proton collisions at a center-of-mass energy of 13 TeV with a data sample corresponding to an integrated luminosity of 138 fb$^{-1}$ recorded by the CMS experiment. Events are selected based on the presence of three leptons, electrons or muons, associated with leptonic Z boson and top quark decays. The measurement yields an inclusive cross section of 87.9 $_{-7.3}^{+7.5}$ (stat) $_{-6.0}^{+7.3}$ (syst) fb for a dilepton invariant mass greater than 30 GeV, in agreement with standard model (SM) calculations and the most precise determination to date. The ratio between the cross sections for the top quark and the top antiquark production in association with a Z boson is measured as 2.37 $_{-0.42}^{+0.56}$ (stat) ${}_{-0.13}^{+0.27}$ (syst). Differential measurements at parton and particle levels are performed for the first time. Several kinematic observables are considered to study the modeling of the process. Results are compared to theoretical predictions with different assumptions on the source of the initial-state b quark and found to be in agreement, within the uncertainties. Additionally, the spin asymmetry, which is sensitive to the top quark polarization, is determined from the differential distribution of the polarization angle at parton level to be 0.54 $\pm$ 0.16 (stat) $\pm$ 0.06 (syst), in agreement with SM predictions.

73 data tables

results

Numerical results of inclusive cross section measurements. Each row represents a measurement: "tZq" for fully inclusive, "tZq_top" for the top quark channel, "tZq_antitop" for the top antiquark channel, "ratio" for the ratio measurement. The columns are the central value, statistical error up/down, systematic error up/down. All values are in fb, except for the ratio (dimensionless).

impacts

Numerical representation of impact plot.

table_signalregion_cat1_prefit

Simulated signal, total background, and observed data in the signal category with exactly 1 b jet and 2-3 jets for the three data-taking years combined. For the uncertainty on the signal and background, both the total (systematic+statistical) and statistical uncertainties are provided. The uncertainty on the data is the (statistical) Poisson uncertainty. Note that this is the prefit version.

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Observation of tW production in the single-lepton channel in pp collisions at $\sqrt{s}$ = 13 TeV

The CMS collaboration Tumasyan, Armen ; Adam, Wolfgang ; Andrejkovic, Janik Walter ; et al.

JHEP 11 (2021) 111, 2021.

Inspire Record 1917152 DOI 10.17182/hepdata.102957

A measurement of the cross section of the associated production of a single top quark and a W boson in final states with a muon or electron and jets in proton-proton collisions at $\sqrt{s}$ = 13 TeV is presented. The data correspond to an integrated luminosity of 36 fb$^{-1}$ collected with the CMS detector at the CERN LHC in 2016. A boosted decision tree is used to separate the tW signal from the dominant $\mathrm{t\bar{t}}$ background, whilst the subleading W+jets and multijet backgrounds are constrained using data-based estimates. This result is the first observation of the tW process in final states containing a muon or electron and jets, with a significance exceeding 5 standard deviations. The cross section is determined to be 89 $\pm$ 4 (stat) $\pm$ 12 (syst) pb, consistent with the standard model.

2 data tables

Cross section

The observed and theoretical cross section. In the observed, the first uncertainty is statistical, the second uncertianty is the systematic. In the expected, the first uncertainty is due to scale variations, the second due to the choice of PDF.

Systematic impacts

The systematic sources considered in the analysis and their relative contribution to the observed uncertainty. The uncertainties are divided by normalization, experimental, theoretical and statistical uncertainties, with each section ordered by their contribution to the total uncertainty.

Observation of an exotic narrow doubly charmed tetraquark

The LHCb collaboration Aaij, Roel ; Abdelmotteleb, Ahmed Sameh Wagih ; Abellán Beteta, Carlos ; et al.

Nature Phys. 18 (2022) 751-754, 2022.

Inspire Record 1915457 DOI 10.17182/hepdata.114869

Conventional hadronic matter consists of baryons and mesons made of three quarks and quark-antiquark pairs, respectively. The observation of a new type of hadronic state, a doubly charmed tetraquark containing two charm quarks, an anti-$u$ and an anti-$d$ quark, is reported using data collected by the LHCb experiment at the Large Hadron Collider. This exotic state with a mass of about 3875 MeV$/c^2$ manifests itself as a narrow peak in the mass spectrum of $D^0D^0\pi^+$ mesons just below the $D^{*+}D^0$ mass threshold. The near threshold mass together with a strikingly narrow width reveals the resonance nature of the state.

2 data tables

Fig 1

Distribution of $D^0 D^0 \pi^+$ mass where the contribution of the non-$D^0$ background has been statistically subtracted. Uncertainties on the data points are statistical only and represent one standard deviation, calculated as a sum in quadrature of the assigned weights from the background-subtraction procedure.

Fig 1 unbinned

Distribution of $D^0 D^0 \pi^+$ mass where the contribution of the non-$D^0$ background has been statistically subtracted by assigning the a weight to every candidate.

Study of the doubly charmed tetraquark $T_{cc}^+$

The LHCb collaboration Aaij, Roel ; Abdelmotteleb, Ahmed Sameh Wagih ; Abellán Beteta, Carlos ; et al.

Nature Commun. 13 (2022) 3351, 2022.

Inspire Record 1915358 DOI 10.17182/hepdata.113470

An exotic narrow state in the $D^0D^0\pi^+$ mass spectrum just below the $D^{*+}D^0$ mass threshold is studied using a data set corresponding to an integrated luminosity of 9 fb$^{-1}$ acquired with the LHCb detector in proton-proton collisions at centre-of-mass energies of 7, 8 and 13 TeV. The state is consistent with the ground isoscalar $T^+_{cc}$ tetraquark with a quark content of $cc\bar{u}\bar{d}$ and spin-parity quantum numbers $\mathrm{J}^{\mathrm{P}}=1^+$. Study of the $DD$ mass spectra disfavours interpretation of the resonance as the isovector state. The decay structure via intermediate off-shell $D^{*+}$ mesons is confirmed by the $D^0\pi^+$ mass distribution. The mass of the resonance and its coupling to the $D^{*}D$ system are analysed. Resonance parameters including the pole position, scattering length, effective range and compositeness are measured to reveal important information about the nature of the $T^+_{cc}$ state. In addition, an unexpected dependence of the production rate on track multiplicity is observed.

20 data tables

Fig 1

Fig 3

Mass distribution for $D^0 \pi^+$ pairs from selected $D^0 D^0 \pi^+$ candidates with a mass below the $D^{*+}D^0$ mass threshold with non-$D^0$ background subtracted. Uncertainties on the data points are statistical only and represent one standard deviation, calculated as a sum in quadrature of the assigned weights from the background-subtraction procedure.

Fig 4a

$D^0 D^0$~mass distributions for selected candidates with the $D^0$ background subtracted. Uncertainties on the data points are statistical only and represent one standard deviation, calculated as a sum in quadrature of the assigned weights from the background-subtraction procedure.

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Measurement of $J/\psi$ production cross-sections in $pp$ collisions at $\sqrt{s}=5$ TeV

The LHCb collaboration Aaij, R. ; Abdelmotteleb, A.S.W. ; Beteta, C. Abellán ; et al.

JHEP 11 (2021) 181, 2021.

Inspire Record 1915030 DOI 10.17182/hepdata.115512

The production cross-sections of $J/\psi$ mesons in proton-proton collisions at a centre-of-mass energy of $\sqrt{s}=5$ TeV are measured using a data sample corresponding to an integrated luminosity of $9.13\pm0.18~\text{pb}^{-1}$, collected by the LHCb experiment. The cross-sections are measured differentially as a function of transverse momentum, $p_{\text{T}}$, and rapidity, $y$, and separately for $J/\psi$ mesons produced promptly and from beauty hadron decays (nonprompt). With the assumption of unpolarised $J/\psi$ mesons, the production cross-sections integrated over the kinematic range $0<p_{\text{T}}<20~\text{GeV}/c$ and $2.0<y<4.5$ are $8.154\pm0.010\pm0.283~\mu\text{b}$ for prompt $J/\psi$ mesons and $0.820\pm0.003\pm0.034~\mu\text{b}$ for nonprompt $J/\psi$ mesons, where the first uncertainties are statistical and the second systematic. These cross-sections are compared with those at $\sqrt{s}=8$ TeV and $13$ TeV, and are used to update the measurement of the nuclear modification factor in proton-lead collisions for $J/\psi$ mesons at a centre-of-mass energy per nucleon pair of $\sqrt{s_{\text{NN}}}=5$ TeV. The results are compared with theoretical predictions.

20 data tables

Table 1

Double-differential production cross-sections for prompt $J/\psi$ mesons in ($p_\text{T},y$) intervals. The first uncertainties are statistical, the second are correlated systematic uncertainties shared between intervals, the third are uncorrelated systematic uncertainties, and the last are correlated between $p_\text{T}$ intervals and uncorrelated between $y$ intervals.

Table 2

Double-differential production cross-sections for nonprompt $J/\psi$ mesons in ($p_\text{T},y$) intervals. The first uncertainties are statistical, the second are correlated systematic uncertainties shared between intervals, the third are uncorrelated systematic uncertainties, and the last are correlated between $p_\text{T}$ intervals and uncorrelated between $y$ intervals.

Table 3

Single-differential production cross-sections for prompt $J/\psi$ mesons as a function of $p_\text{T}$. The first uncertainties are statistical, the second are correlated systematic uncertainties shared between intervals, and the last are uncorrelated systematic uncertainties.

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Measurement of simplified template cross sections of the Higgs boson produced in association with W or Z bosons in the H $\to$$\mathrm{b\bar{b}}$ decay channel in proton-proton collisions at $\sqrt{s}$ =13 TeV

Observation of new structure in the J/$\psi$J/$\psi$ mass spectrum in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Version 3
Measurement of the dependence of the hadron production fraction ratio $f_\mathrm{s} / f_\mathrm{u}$ and $f_\mathrm{d} / f_ \mathrm{u}$ on B meson kinematic variables in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Search for dark matter produced in association with a dark Higgs boson decaying into $W^{+}W^{-}$ in the one-lepton final state at $\sqrt{s}$=13 TeV using 139 fb$^{-1}$ of $pp$ collisions recorded with the ATLAS detector

Measurement of the jet mass distribution and top quark mass in hadronic decays of boosted top quarks in proton-proton collisions at $\sqrt{s}$ = 13 TeV

rivet Analysis
Measurements of jet multiplicity and jet transverse momentum in multijet events in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Searches for additional Higgs bosons and for vector leptoquarks in $\tau\tau$ final states in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Version 2
Measurement of the top quark pole mass using $\mathrm{t\bar{t}}$+jet events in the dilepton final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Search for new phenomena in final states with photons, jets and missing transverse momentum in $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

Version 2
Search for electroweak production of charginos and neutralinos at $\sqrt{s}$ =13 TeV in final states containing hadronic decays of WW, WZ, or WH and missing transverse momentum

Search for heavy, long-lived, charged particles with large ionisation energy loss in $pp$ collisions at $\sqrt{s} = 13~\text{TeV}$ using the ATLAS experiment and the full Run 2 dataset

Measurement of differential cross sections for the production of a Z boson in association with jets in proton-proton collisions at $\sqrt{s}$ = 13 TeV

rivet Analysis
Differential $t\bar{t}$ cross-section measurements using boosted top quarks in the all-hadronic final state with 139 fb$^{-1}$ of ATLAS data

Nuclear modification of $\Upsilon$ states in pPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV

Two-particle Bose-Einstein correlations in pp collisions at ${\sqrt{s} = 13}$ TeV measured with the ATLAS detector at the LHC

Search for resonances decaying to three W bosons in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Version 2
Measurements of Higgs boson production cross-sections in the $H\to\tau^{+}\tau^{-}$ decay channel in $pp$ collisions at $\sqrt{s}=13\,\text{TeV}$ with the ATLAS detector

Version 3
Measurement of the inclusive and differential $\mathrm{t\bar{t}}\gamma$ cross sections in the dilepton channel and effective field theory interpretation in proton-proton collisions at $\sqrt{s}$ =13 TeV

Search for resonances decaying to three W bosons in the hadronic final state in proton-proton collisions at $\sqrt{s} =$ 13 TeV

A search for an unexpected asymmetry in the production of $e^+ \mu^-$ and $e^- \mu^+$ pairs in proton-proton collisions recorded by the ATLAS detector at $\sqrt s = 13$ TeV

Inclusive and differential cross section measurements of single top quark production in association with a Z boson in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Observation of tW production in the single-lepton channel in pp collisions at $\sqrt{s}$ = 13 TeV

Observation of an exotic narrow doubly charmed tetraquark

Study of the doubly charmed tetraquark $T_{cc}^+$

Measurement of $J/\psi$ production cross-sections in $pp$ collisions at $\sqrt{s}=5$ TeV

Date

Collaboration

Subject_areas

Phrases Reset

Reactions

Observables

CM Energies (GeV)

Authors Reset

Version 3 Measurement of the dependence of the hadron production fraction ratio $f_\mathrm{s} / f_\mathrm{u}$ and $f_\mathrm{d} / f_ \mathrm{u}$ on B meson kinematic variables in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Version 2 Measurement of the top quark pole mass using $\mathrm{t\bar{t}}$+jet events in the dilepton final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Version 2 Search for electroweak production of charginos and neutralinos at $\sqrt{s}$ =13 TeV in final states containing hadronic decays of WW, WZ, or WH and missing transverse momentum

Version 2 Measurements of Higgs boson production cross-sections in the $H\to\tau^{+}\tau^{-}$ decay channel in $pp$ collisions at $\sqrt{s}=13\,\text{TeV}$ with the ATLAS detector

Version 3 Measurement of the inclusive and differential $\mathrm{t\bar{t}}\gamma$ cross sections in the dilepton channel and effective field theory interpretation in proton-proton collisions at $\sqrt{s}$ =13 TeV

Version 3
Measurement of the dependence of the hadron production fraction ratio $f_\mathrm{s} / f_\mathrm{u}$ and $f_\mathrm{d} / f_ \mathrm{u}$ on B meson kinematic variables in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Version 2
Measurement of the top quark pole mass using $\mathrm{t\bar{t}}$+jet events in the dilepton final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Version 2
Search for electroweak production of charginos and neutralinos at $\sqrt{s}$ =13 TeV in final states containing hadronic decays of WW, WZ, or WH and missing transverse momentum

Version 2
Measurements of Higgs boson production cross-sections in the $H\to\tau^{+}\tau^{-}$ decay channel in $pp$ collisions at $\sqrt{s}=13\,\text{TeV}$ with the ATLAS detector

Version 3
Measurement of the inclusive and differential $\mathrm{t\bar{t}}\gamma$ cross sections in the dilepton channel and effective field theory interpretation in proton-proton collisions at $\sqrt{s}$ =13 TeV