The centrality dependence of e+e− invariant mass spectra within the STAR acceptance from Au+Au collisions and U+U collisions for pair pT < 0.15 GeV/c. The vertical bars on data points depict the statistical uncertainties, while the systematic uncertainties are shown as gray boxes. The hadronic cocktail yields from U+U collisions are ∼5%–12% higher than those from Au+Au collisions in given centrality bins; thus only cocktails for Au+Au collisions are shown here as solid lines, with shaded bands representing the systematic uncertainties for clarity.

The centrality dependence of e+e− invariant mass spectra within the STAR acceptance from Au+Au collisions and U+U collisions for pair pT < 0.15 GeV/c. The vertical bars on data points depict the statistical uncertainties, while the systematic uncertainties are shown as gray boxes. The hadronic cocktail yields from U+U collisions are ∼5%–12% higher than those from Au+Au collisions in given centrality bins; thus only cocktails for Au+Au collisions are shown here as solid lines, with shaded bands representing the systematic uncertainties for clarity.

The centrality dependence of e+e− invariant mass spectra within the STAR acceptance from Au+Au collisions and U+U collisions for pair pT < 0.15 GeV/c. The vertical bars on data points depict the statistical uncertainties, while the systematic uncertainties are shown as gray boxes. The hadronic cocktail yields from U+U collisions are ∼5%–12% higher than those from Au+Au collisions in given centrality bins; thus only cocktails for Au+Au collisions are shown here as solid lines, with shaded bands representing the systematic uncertainties for clarity.

The corresponding ratios of data over cocktail for Figure 1.

The corresponding ratios of data over cocktail for Figure 1.

The corresponding ratios of data over cocktail for Figure 1.

The corresponding ratios of data over cocktail for Figure 1.

The corresponding ratios of data over cocktail for Figure 1.

The corresponding ratios of data over cocktail for Figure 1.

The e+e− pair pT distributions within the STAR acceptance for different mass regions in 60%–80% Au+Au and U+U collisions compared to cocktails. The systematic uncertainties of the data are shown as gray boxes. The gray bands depict the systematic uncertainties of the cocktails.

The e+e− pair pT distributions within the STAR acceptance for different mass regions in 60%–80% Au+Au and U+U collisions compared to cocktails. The systematic uncertainties of the data are shown as gray boxes. The gray bands depict the systematic uncertainties of the cocktails.

The e+e− pair pT distributions within the STAR acceptance for different mass regions in 60%–80% Au+Au and U+U collisions compared to cocktails. The systematic uncertainties of the data are shown as gray boxes. The gray bands depict the systematic uncertainties of the cocktails.

The e+e− pair pT distributions within the STAR acceptance for different mass regions in 60%–80% Au+Au and U+U collisions compared to cocktails. The systematic uncertainties of the data are shown as gray boxes. The gray bands depict the systematic uncertainties of the cocktails.

The e+e− pair pT distributions within the STAR acceptance for different mass regions in 60%–80% Au+Au and U+U collisions compared to cocktails. The systematic uncertainties of the data are shown as gray boxes. The gray bands depict the systematic uncertainties of the cocktails.

The e+e− pair pT distributions within the STAR acceptance for different mass regions in 60%–80% Au+Au and U+U collisions compared to cocktails. The systematic uncertainties of the data are shown as gray boxes. The gray bands depict the systematic uncertainties of the cocktails.

The low-pT (pT < 0.15 GeV/c) e+e− excess mass spectra (data − cocktail) within the STAR acceptance in 60%–80% for Au + Au and U + U collisions, compared with a broadened rho meson model calculation [8]. The contributions of rho and phi from the photonuclear process are shown, as are the contributions of photon-photon process from two models [33,34]. The model calculations are for Au + Au collisions in the corresponding centrality bins.

The low-pT (pT < 0.15 GeV/c) e+e− excess mass spectra (data − cocktail) within the STAR acceptance in 60%–80% for Au + Au and U + U collisions, compared with a broadened rho meson model calculation [8]. The contributions of rho and phi from the photonuclear process are shown, as are the contributions of photon-photon process from two models [33,34]. The model calculations are for Au + Au collisions in the corresponding centrality bins.

The low-pT (pT < 0.15 GeV/c) e+e− excess mass spectra (data − cocktail) within the STAR acceptance in 40%–60% for Au + Au and U + U collisions, compared with a broadened rho meson model calculation [8]. The contributions of rho and phi from the photonuclear process are shown, as are the contributions of photon-photon process from two models [33,34]. The model calculations are for Au + Au collisions in the corresponding centrality bins.

The low-pT (pT < 0.15 GeV/c) e+e− excess mass spectra (data − cocktail) within the STAR acceptance in 40%–60% for Au + Au and U + U collisions, compared with a broadened rho meson model calculation [8]. The contributions of rho and phi from the photonuclear process are shown, as are the contributions of photon-photon process from two models [33,34]. The model calculations are for Au + Au collisions in the corresponding centrality bins.

The centrality dependence of integrated excess yields in the mass regions of 0.4–0.76, 0.76–1.2, and 1.2–2.6 GeV=c2 in Au + Au and U + U collisions. The centrality dependence of hadronic cocktail yields in the mass region of 0.76–1.2 GeV/c2 in both collisions is also shown for comparison. The systematic uncertainties are shown as gray boxes.

The centrality dependence of integrated excess yields in the mass regions of 0.4–0.76, 0.76–1.2, and 1.2–2.6 GeV=c2 in Au + Au and U + U collisions. The centrality dependence of hadronic cocktail yields in the mass region of 0.76–1.2 GeV/c2 in both collisions is also shown for comparison. The systematic uncertainties are shown as gray boxes.

The centrality dependence of integrated excess yields in the mass regions of 0.4–0.76, 0.76–1.2, and 1.2–2.6 GeV=c2 in Au + Au and U + U collisions. The centrality dependence of hadronic cocktail yields in the mass region of 0.76–1.2 GeV/c2 in both collisions is also shown for comparison. The systematic uncertainties are shown as gray boxes.

The centrality dependence of integrated excess yields in the mass regions of 0.4–0.76, 0.76–1.2, and 1.2–2.6 GeV=c2 in Au + Au and U + U collisions. The centrality dependence of hadronic cocktail yields in the mass region of 0.76–1.2 GeV/c2 in both collisions is also shown for comparison. The systematic uncertainties are shown as gray boxes.

The centrality dependence of integrated excess yields in the mass regions of 0.4–0.76, 0.76–1.2, and 1.2–2.6 GeV=c2 in Au + Au and U + U collisions. The centrality dependence of hadronic cocktail yields in the mass region of 0.76–1.2 GeV/c2 in both collisions is also shown for comparison. The systematic uncertainties are shown as gray boxes.

The centrality dependence of integrated excess yields in the mass regions of 0.4–0.76, 0.76–1.2, and 1.2–2.6 GeV/c2 in Au + Au and U + U collisions. The centrality dependence of hadronic cocktail yields in the mass region of 0.76–1.2 GeV/c2 in both collisions is also shown for comparison. The systematic uncertainties are shown as gray boxes.

The p2T distributions of excess yields within the STAR acceptance in the mass regions of 0.4–0.76 GeV/c2 in 60%–80% Au + Au and U + U collisions. The systematic uncertainties are shown as gray boxes. The solid and dotted lines are exponential fits to the data in Au + Au and U + U collisions, respectively. The dot-dashed and dot-dot- dashed lines represent the p2T distributions for the photon-photon process from two models [33,34] within the STAR acceptance in 60%–80% Au + Au collisions. The dashed lines illustrate the corresponding p2T distributions for e+e− pairs from the model [33] traversing 1 fm in a constant magnetic field of 10^14 T perpendicular to the beam line.

The p2T distributions of excess yields within the STAR acceptance in the mass regions of 0.4–0.76 GeV/c2 in 60%–80% Au + Au and U + U collisions. The systematic uncertainties are shown as gray boxes. The solid and dotted lines are exponential fits to the data in Au + Au and U + U collisions, respectively. The dot-dashed and dot-dot- dashed lines represent the p2T distributions for the photon-photon process from two models [33,34] within the STAR acceptance in 60%–80% Au + Au collisions. The dashed lines illustrate the corresponding p2T distributions for e+e− pairs from the model [33] traversing 1 fm in a constant magnetic field of 10^14 T perpendicular to the beam line.

The p2T distributions of excess yields within the STAR acceptance in the mass regions of 0.76–1.2 GeV/c2 in 60%–80% Au + Au and U + U collisions. The systematic uncertainties are shown as gray boxes. The solid and dotted lines are exponential fits to the data in Au + Au and U + U collisions, respectively. The dot-dashed and dot-dot- dashed lines represent the p2T distributions for the photon-photon process from two models [33,34] within the STAR acceptance in 60%–80% Au + Au collisions. The dashed lines illustrate the corresponding p2T distributions for e+e− pairs from the model [33] traversing 1 fm in a constant magnetic field of 10^14 T perpendicular to the beam line.

The p2T distributions of excess yields within the STAR acceptance in the mass regions of 0.76–1.2 GeV/c2 in 60%–80% Au + Au and U + U collisions. The systematic uncertainties are shown as gray boxes. The solid and dotted lines are exponential fits to the data in Au + Au and U + U collisions, respectively. The dot-dashed and dot-dot- dashed lines represent the p2T distributions for the photon-photon process from two models [33,34] within the STAR acceptance in 60%–80% Au + Au collisions. The dashed lines illustrate the corresponding p2T distributions for e+e− pairs from the model [33] traversing 1 fm in a constant magnetic field of 10^14 T perpendicular to the beam line.

The p2T distributions of excess yields within the STAR acceptance in the mass regions of 1.2–2.6 GeV/c2 in 60%–80% Au + Au and U + U collisions. The systematic uncertainties are shown as gray boxes. The solid and dotted lines are exponential fits to the data in Au + Au and U + U collisions, respectively. The dot-dashed and dot-dot- dashed lines represent the p2T distributions for the photon-photon process from two models [33,34] within the STAR acceptance in 60%–80% Au + Au collisions. The dashed lines illustrate the corresponding p2T distributions for e+e− pairs from the model [33] traversing 1 fm in a constant magnetic field of 10^14 T perpendicular to the beam line.

The p2T distributions of excess yields within the STAR acceptance in the mass regions of 1.2–2.6 GeV/c2 in 60%–80% Au + Au and U + U collisions. The systematic uncertainties are shown as gray boxes. The solid and dotted lines are exponential fits to the data in Au + Au and U + U collisions, respectively. The dot-dashed and dot-dot- dashed lines represent the p2T distributions for the photon-photon process from two models [33,34] within the STAR acceptance in 60%–80% Au + Au collisions. The dashed lines illustrate the corresponding p2T distributions for e+e− pairs from the model [33] traversing 1 fm in a constant magnetic field of 10^14 T perpendicular to the beam line.

The corresponding sqrt(p2T) of excess yields. The vertical bars on data points are the combined statistical and systematic uncertainties.

The corresponding sqrt(p2T) of excess yields. The vertical bars on data points are the combined statistical and systematic uncertainties.

Observed and expected distributions of the $WZ$ invariant mass in the q$\bar{\mathrm q}$ category after applying all selection cuts. Background contributions are obtained from background-only likelihood fit to the data.

Observed and expected distributions of the $WZ$ invariant mass in the $VBF$ category after applying all selection cuts. Background contributions are obtained from background-only likelihood fit to the data.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($W'\to W^\pm Z$) for the q$\bar{\mathrm q}$ production of a $W'$ boson in the HVT model as a function of its mass. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty in the expected limits are given. Limits are calculated in the asymptotic approximation below 900 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($W'\to W^\pm Z$) for the $VBF$ production of a $W'$ boson in the HVT model as a function of its mass. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty are given in the expected limits. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on $\sigma\times$BR($H_5^\pm\to W^\pm Z$) of the Georgi-Machacek Model as a function of $m_{H_5^\pm}$. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty in the expected limits are given. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Observed and expected 95% C.L. upper limits on the parameter $\sin(\theta_H)$ of the Georgi-Machacek Model as a function of $m_{H_5^\pm}$. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty are given in the expected limits. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.

Expected and observed upper limits at the 95% CL on the BB cross section as a function of B quark mass in the SU(2) singlet scenario.

Expected and observed 95% CL lower limits on the mass of the B quark in the branching ratio plane of BR(B->Wt) versus BR(B->Hb).

Observed and expected dilepton mass distributions, with the bin boundaries considered for the interpretation, in SRC of the low-pT edge search. All statistical and systematic uncertainties of the expected background are included in the hatched band. An example signal from the $Z^{*}$ model with m(gluino) = 1000 GeV and m(neutralino1) = 900 GeV is overlaid.

Observed and expected dilepton mass distributions, with the bin boundaries considered for the interpretation, in SRC-MET of the low-pT edge search. All statistical and systematic uncertainties of the expected background are included in the hatched band. An example signal from the $Z^{*}$ model with m(gluino) = 1000 GeV and m(neutralino1) = 900 GeV is overlaid.

Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

Observed 95% CL exclusion contours from the low-p$_{T}$ signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

Expected 95% CL exclusion contours from the low-p$_{T}$ signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson and the lightest neutralino.

Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson and the lightest neutralino.

Observed 95% CL exclusion contours from the low-p$_{T}$ signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson and the lightest neutralino.

Expected 95% CL exclusion contours from the low-p$_{T}$ signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson and the lightest neutralino.

Observed 95% CL exclusion contours from the on-Z signal regions on the gluino and next-to-lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.

Expected 95% CL exclusion contours from the on-Z signal regions on the gluino and next-to-lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.

Observed 95% CL exclusion contours from the on-Z signal regions on the squark and next-to-lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.

Expected 95% CL exclusion contours from the on-Z signal regions on the squark and next-to-lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.

Observed 95% CL exclusion contours from the on-Z signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson the lightest neutralino.

Expected 95% CL exclusion contours from the on-Z signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and the lightest neutralino.

Acceptance and efficiency in the on-Z bin for SR-medium for the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.

Acceptance and efficiency in the on-Z bin for SR-high for the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.

Acceptance and efficiency over the full $m_{ll}$ range for SR-low for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

Acceptance and efficiency over the full $m_{ll}$ range for SR-medium for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

Acceptance and efficiency over the full $m_{ll}$ range for SR-high for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

Acceptance and efficiency over the full $m_{ll}$ range for SRC for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

Acceptance and efficiency over the full $m_{ll}$ range for SRC-MET for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the on-Z $m_{ll}$ windows of SR-medium and SR-high, SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.

The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the on-Z $m_{ll}$ windows of SR-medium and SR-high, SUSY scenario where squarks are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.

The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the on-Z $m_{ll}$ windows of SR-medium and SR-high, in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson the lightest neutralino.

The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the signal regions, in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the low-p$_{T}$ signal regions, in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.

The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the signal regions, in a SUSYscenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson.

The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the low-p$_{T}$ signal regions, in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson.

Cutflow table for three benchmark signal points from the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino, with m(gluino) = 1395 GeV and m(neutralino2) = 505 GeV, m(gluino) = 920 GeV and m(neutralino2) = 230 GeV and m(gluino) = 940 GeV and m(neutralino2) = 660 GeV, in the on-$Z$ $m_{ll}$ bins of SR-medium and SR-high for the electron and muon channels separately. The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow table for a signal point from the SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino, with m(gluino) = 1000 GeV and m(neutralino1) = 800 GeV, m(gluino) = 1200 GeV and m(neutralino1) = 500 GeV and m(gluino) = 1400 GeV and m(neutralino1) = 100 GeV, in all m_{ll}$ bins of SR-low, SR-medium and SR-high for the electron and muon channels separately. The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow table for a signal point from the SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson, with m(gluino) = 600 GeV and m(neutralino1) = 560 GeV and m(gluino) = 1000 GeV and m(neutralino1) = 960 GeV, in all $m_{ll}$ bins of SRC and SRC-MET for the electron and muon channels separately. The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.

Signal region used to derive the exclusion limit for the SUSY scenario where squarks are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.

Signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson the lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.

Signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson, corresponding to the SR determined to give the best expected limit for a given signal point.

Low-$p_{T}$ signal region used to derive the exclusion limit in the compressed region for the SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson, corresponding to the SR determined to give the best expected limit for a given signal point.

Signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.

Low-$p_{T}$ signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.

Excitation function at cos(Theta_pi0)cm = -0.65

Excitation function at cos(Theta_pi0)cm = -0.55

Excitation function at cos(Theta_pi0)cm = -0.45

Excitation function at cos(Theta_pi0)cm = -0.35

Excitation function at cos(Theta_pi0)cm = -0.25

Excitation function at cos(Theta_pi0)cm = -0.15

Excitation function at cos(Theta_pi0)cm = -0.05

Excitation function at cos(Theta_pi0)cm = 0.05

Excitation function at cos(Theta_pi0)cm = 0.15

Excitation function at cos(Theta_pi0)cm = 0.25

Excitation function at cos(Theta_pi0)cm = 0.35

Excitation function at cos(Theta_pi0)cm = 0.45

Excitation function at cos(Theta_pi0)cm = 0.55

Excitation function at cos(Theta_pi0)cm = 0.65

Excitation function at cos(Theta_pi0)cm = 0.75

Excitation function at cos(Theta_pi0)cm = 0.85

Differential cross sections in the full phase space obtained from the H->gammagamma and H->4l combined measurement for the transverse momentum of the leading jet pTj1. The first bin in the pTj1 distribution corresponds to the 0-jet bin in the Njets distribution. The NNLOPS ggF prediction scaled to the N3LO cross section is also provided.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of Higgs transverse momentum, in the 4l channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of Higgs transverse momentum, in the gamma gamma channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of Higgs rapidity, in the 4l channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of Higgs rapidity, in the gamma gamma channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of number of jets, in the 4l channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of number of jets, in the gamma gamma channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of the transverse momentum of the leading jet, in the 4l channel.

Acceptance factors to extrapolate from the fiducial phase space to the total phase space, in bins of the transverse momentum of the leading jet, in the gamma gamma channel.

Data/simulation comparisons of the relative jet yields as functions of jet transverse momentum for the endcap

Data/simulation comparisons of the jet yields vs jet neutral energy fraction (NEF), shown separately for jets in different pseudorapidity ranges. The points represent the data (solid circle for barrel, open square and open cross for endcap jets at two different pseudorapidity ranges), and the histogram is the simulation.

Data/simulation comparisons of dijet yields as a function of invariant mass (left) for all the accepted events.

Data/simulation comparisons of dijet yields as a function of the pseudorapidity gap between the jets.

Data/simulation comparisons of dijet yields as a function of azimuthal opening angle between the jets.

Data/simulation comparisons of the underlying event $\delta M$ vs underlying event corrected dijet invariant mass.

The dijet $p_{T}$ imbalance distribution.

The jet invariant mass distribution.

The distributions of the parton $x_1$ and $x_2$, which has been weighted by the partonic $\hat{a}_{LL}$, from PYTHIA detector level simulations at $\sqrt{s}$ = 200 GeV for different jet pseudorapidity ranges.

The distributions of the parton $x_1$ and $x_2$, which has been weighted by the partonic $\hat{a}_{LL}$, from PYTHIA detector level simulations at $\sqrt{s}$ = 200 GeV for different jet pseudorapidity ranges.

The distributions of the parton $x_1$ and $x_2$, which has been weighted by the partonic $\hat{a}_{LL}$, from PYTHIA detector level simulations at $\sqrt{s}$ = 200 GeV for different jet pseudorapidity ranges.

$A_{LL}$ as a function of parton-level invariant mass for dijets with the East barrel-endcap.

$A_{LL}$ as a function of parton-level invariant mass for dijets with the West barrel-endcap.

$A_{LL}$ as a function of parton-level invariant mass for dijets with the endcap-endcap.

Dijet mass spectra after the background only fit with the background prediction in the high-mass region with two b-tags.

Dijet mass spectra after the background only fit with the background prediction in the low-mass region with two b-tags.

The online b-tagging efficiency with respect to the offline b-tagging efficiency as a function of pT. The b-tagging online and offline working points correspond to an efficiency of 60% and 70%, respectively.

Observed and expected 95% credibility-level upper limits on the cross-section for the b* model in the high-mass region with inclusive b-jet selection.

Observed and expected 95% credibility-level upper limits on the cross-section times branching ratio for the SSM and leptophobic Z' models in the low- and high-mass region with two b-tags selection.

Observed and expected 95% credibility-level upper limits on the cross-section for DM Z' models in the low-mass region with two b-tags selection. The Z' is expected to decay to all five quark flavors other than the top quark and the mediator to SM quark coupling (gSM) equal to 0.1 is assumed.

Observed and expected 95% credibility-level upper limits on the cross-section times branching ratio for DM Z'->bb models in the high-mass region with two b-tags selection. The Z' is expected to decay to bb only and the mediator to SM quark coupling (gSM) equal to 0.25 is assumed.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances with intrinsic width smaller than the detector resolution. The width of the Gaussian reconstructed shape is dominated by the dijet mass resolution. The table shows the limits obtained from the high-mass inclusive one b-tag selection.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances with intrinsic width smaller than the detector resolution. The width of the Gaussian reconstructed shape is dominated by the dijet mass resolution. The table shows the limits obtained from the combined low- and high-mass two b-tags selection.

The mass distributions for the inclusive one b-tagged selection and two b-tagged selection using an integrated luminosity of 36.1 $fb^{-1}$. The inclusive one b-tagged Pythia8 MC distribution is normalized to the inclusive one b-tagged data. The two b-tagged Pythia8 MC distribution is normalized to the two b-tagged data. The systematic uncertainty band is dominated by the b-tagging scale factor and the b-jet energy scale.

Signal acceptance times efficiency for inclusive 1 b-tag and 2 b-tag categories as a function of the simulated b* and the Z' masses.

Signal acceptance times efficiency for 2 b-tag categories as a function of the simulated Z' masses.

The flavor composition of the simulated dijet background as a function of dijet mass before tagging. The fraction of the six combinations of the b-jet , c-jet and light-flavor jet are shown. All offline selections are applied.

The flavor composition of the simulated dijet background as a function of dijet mass with inclusive one b-tag. The fraction of the six combinations of the b-jet , c-jet and light-flavor jet are shown. All offline selections are applied.

The flavor composition of the simulated dijet background as a function of dijet mass with two b-tags. The fraction of the six combinations of the b-jet , c-jet and light-flavor jet are shown. All offline selections are applied.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the inclusive b-jet selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 3%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the inclusive b-jet selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 7%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the inclusive b-jet selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 10%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the inclusive b-jet selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 15%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the combined low- and high-mass two b-tags selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 3%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the combined low- and high-mass two b-tags selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 7%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the combined low- and high-mass two b-tags selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 10%.

Observed and expected 95% credibility-level upper limits on cross section times acceptance times branching ratio of X --> bb, including kinematic acceptance and b-tagging efficiencies, for resonances exhibiting a generic Gaussian shape at particle level. The table shows the limits obtained from the combined low- and high-mass two b-tags selection. The limits corresponding to Gaussian-shaped resonances with width of Γ(X)/m(X) = 15%.

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