Nuclear modification factors $R_{AA}$ as a function of $E_{T}^{\gamma}$ measured in the 0–100% centrality ranges in PbPb.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.

Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.

Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.

Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Model dependent upper limits on cross-section (fb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).

Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.

Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.

The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $eta$ and chargino decay radius (at generator level).

The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level).

The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.

The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.

Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.

Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anticorrelation between different backgrounds.

Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracket background events is small.

Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.

The relative statistical and systematic uncertainties in % from various sources for the absolute cross section measurements in bins of Z pt on dimuons.

The relative statistical and systematic uncertainties in % from various sources for the absolute cross section measurements in bins of Z pt on dielectrons.

The relative statistical and systematic uncertainties in % from various sources for the absolute cross section measurements in bins of |y(Z)| on dimuons.

The relative statistical and systematic uncertainties in % from various sources for the absolute cross section measurements in bins of |y(Z)| on dielectrons.

The relative statistical and systematic uncertainties in % from various sources for the absolute cross section measurements in bins of $\phi^{\scriptscriptstyle *}_\eta$ on dimuons.

The relative statistical and systematic uncertainties in % from various sources for the absolute cross section measurements in bins of $\phi^{\scriptscriptstyle *}_\eta$ on dielectrons.

The relative statistical and systematic uncertainties in % from various sources for the normalized cross section measurements in bins of Z pt on dimuons.

The relative statistical and systematic uncertainties in % from various sources for the normalized cross section measurements in bins of Z pt on dielectrons.

The relative statistical and systematic uncertainties in % from various sources for the normalized cross section measurements in bins of |y(Z)| on dimuons.

The relative statistical and systematic uncertainties in % from various sources for the normalized cross section measurements in bins of |y(Z)| on dielectrons.

The relative statistical and systematic uncertainties in % from various sources for the normalized cross section measurements in bins of $\phi^{\scriptscriptstyle *}_\eta$ on dimuons.

The relative statistical and systematic uncertainties in % from various sources for the normalized cross section measurements in bins of $\phi^{\scriptscriptstyle *}_\eta$ on dielectrons.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dimuon final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dimuon final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dimuon final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dimuon final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dimuon final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dielectron final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dielectron final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dielectron final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dielectron final state.

The relative statistical and systematic uncertainties in % from various sources for the absolute double-differential cross section measurements in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dielectron final state.

The measured absolute cross sections in bins of |y(Z)|, using dressed level leptons. The cross sections are normalized by the bin width.

The measured absolute cross sections in bins of Z pt, using dressed level leptons. The cross sections are normalized by the bin width.

The measured absolute cross sections in bins of $\phi^{\scriptscriptstyle *}_\eta$, using dressed level leptons. The cross sections are normalized by the bin width.

The measured absolute cross sections in bins of Z pt different |y(Z)| bins, using dressed level leptons. The cross sections are normalized by the bin width.

The measured normalized cross sections in bins of Z pt, using dressed level leptons.

The measured normalized cross sections in bins of $\phi^{\scriptscriptstyle *}_\eta$, using dressed level leptons.

The measured normalized cross sections in bins of |y(Z)|, using dressed level leptons.

The measured normalized cross sections (left) in bins of Z pt in |y(Z)| bins, using dressed level leptons.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt in the dimuon final state.

Covariance matrix using dressed level leptons for all bins used in bins of |y(Z)| in the dimuon final state.

Covariance matrix using dressed level leptons for all bins used in bins of $\phi^{\scriptscriptstyle *}_\eta$ in the dimuon final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dimuon final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dimuon final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dimuon final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dimuon final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dimuon final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt in the dielectron final state.

Covariance matrix using dressed level leptons for all bins used in bins of |y(Z)| in the dielectron final state.

Covariance matrix using dressed level leptons for all bins used in bins of $\phi^{\scriptscriptstyle *}_\eta$ in the dielectron final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dielectron final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dielectron final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dielectron final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dielectron final state.

Covariance matrix using dressed level leptons for all bins used in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dielectron final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt in the dimuon final state.

Covariance matrix using born level leptons for all bins used in bins of |y(Z)| in the dimuon final state.

Covariance matrix using born level leptons for all bins used in bins of $\phi^{\scriptscriptstyle *}_\eta$ in the dimuon final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dimuon final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dimuon final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dimuon final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dimuon final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dimuon final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt in the dielectron final state.

Covariance matrix using born level leptons for all bins used in bins of |y(Z)| in the dielectron final state.

Covariance matrix using born level leptons for all bins used in bins of $\phi^{\scriptscriptstyle *}_\eta$ in the dielectron final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dielectron final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dielectron final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dielectron final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dielectron final state.

Covariance matrix using born level leptons for all bins used in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dielectron final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt in the dimuon final state.

The measured absolute cross sections in bins of |y(Z)|, using born level leptons. The cross sections are normalized by the bin width.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of |y(Z)| in the dimuon final state.

The measured absolute cross sections in bins of Z pt, using born level leptons. The cross sections are normalized by the bin width. The first bin (0-1 GeV) is not shown as large differences were observed in aMC@NLO and POWHEG predictions at Born level.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of $\phi^{\scriptscriptstyle *}_\eta$ in the dimuon final state.

The measured absolute cross sections in bins of $\phi^{\scriptscriptstyle *}_\eta$, using born level leptons. The cross sections are normalized by the bin width.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dimuon final state.

The measured absolute cross sections in bins of Z pt different |y(Z)| bins, using born level leptons. The cross sections are normalized by the bin width. The first bin (0-1 GeV) is not shown as large differences were observed in aMC@NLO and POWHEG predictions at Born level.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dimuon final state.

The measured normalized cross sections in bins of Z pt, using born level leptons. The first bin (0-1 GeV) is not shown as large differences were observed in aMC@NLO and POWHEG predictions at Born level.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dimuon final state.

The measured normalized cross sections in bins of $\phi^{\scriptscriptstyle *}_\eta$, using born level leptons.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dimuon final state.

The measured normalized cross sections in bins of |y(Z)|, using born level leptons.

The measured normalized cross sections (left) in bins of Z pt in |y(Z)| bins, using born level leptons. The first bin (0-1 GeV) is not shown as large differences were observed in aMC@NLO and POWHEG predictions at Born level.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dimuon final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt in the dielectron final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of |y(Z)| in the dielectron final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of $\phi^{\scriptscriptstyle *}_\eta$ in the dielectron final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dielectron final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dielectron final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dielectron final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dielectron final state.

Covariance matrix for normalized cross sections using dressed level leptons for all bins used in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dielectron final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt in the dimuon final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of |y(Z)| in the dimuon final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of $\phi^{\scriptscriptstyle *}_\eta$ in the dimuon final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dimuon final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dimuon final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dimuon final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dimuon final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dimuon final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt in the dielectron final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of |y(Z)| in the dielectron final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of $\phi^{\scriptscriptstyle *}_\eta$ in the dielectron final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 0 < |y(Z)| < 0.4 bin in the dielectron final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 0.4 < |y(Z)| < 0.8 bin in the dielectron final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 0.8 < |y(Z)| < 1.2 bin in the dielectron final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 1.2 < |y(Z)| < 1.6 bin in the dielectron final state.

Covariance matrix for normalized cross sections using born level leptons for all bins used in bins of Z pt for the 1.6 < |y(Z)| < 2.4 bin in the dielectron final state.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 333 ns and with a purely wino LSP. The branching fraction for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1} \pi^{\pm}$ is set to 100%. Shown are the full Run 2 results, derived from the results of the search in the 2017 and 2018 data sets combined with those of the previous CMS result obtained in the 2015 and 2016 data sets. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 2:1 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 0.3 ns and with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 3.3 ns and with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 33 ns and with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 333 ns and with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed constraints on chargino lifetime and mass for a purely wino LSP in the context of AMSB, where the chargino lifetime is explicitly varied. The chargino branching fraction is set to 100% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1} \pi^{\pm}$. Shown are the full Run 2 results, derived from the results of the search in the 2017 and 2018 data sets combined with those of the previous CMS result obtained in the 2015 and 2016 data sets. The region to the left of the curve is excluded at 95% CL. The prediction from PLB 721 (2013) 252 is indicated in the dashed line.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass and mean proper lifetime, with a purely wino LSP. The branching fraction for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1} \pi^{\pm}$ is set to 100%. Shown are the full Run 2 results, derived from the results of the search in the 2017 and 2018 data sets combined with those of the previous CMS result obtained in the 2015 and 2016 data sets. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 2:1 ratio for all chargino masses considered.

The expected and observed constraints on chargino lifetime and mass for a purely higgsino LSP in the context of AMSB, where the chargino lifetime is explicitly varied. The chargino branching fraction is set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The region to the left of the curve is excluded at 95% CL. The prediction from Phys. Lett. B 781 (2018) 306 is indicated in the dashed line.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass and mean proper lifetime, with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018A data-taking period, corresponding to $21.1\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018A data-taking period, corresponding to $21.1\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018A data-taking period, corresponding to $21.1\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018A data-taking period, corresponding to $21.1\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018B data-taking period, corresponding to $38.6\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018B data-taking period, corresponding to $38.6\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018B data-taking period, corresponding to $38.6\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018B data-taking period, corresponding to $38.6\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2017 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2017 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2017 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2017 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Summary of the estimated backgrounds and the observation. The first and second uncertainties shown are the statistical and systematic contributions, respectively.

Detector-level photon $\phi$ distribution

Detector-level dipoton invariant mass distribution

Detector-level diphoton rapidity distribution

Detector-level dipoton p$_{T}$ distribution

Observed exclusion limits at 95% CL in the ALP-photon coupling g$_{a \gamma}$ versus ALP mass $m_{a}$ plane.

Covariance of the differential absolute cross section as a function of the parton-level top quark rapidity

Differential absolute cross section as a function of the parton-level charged lepton $p_\textrm{T}$

Covariance of the differential absolute cross section as a function of the parton-level charged lepton $p_\textrm{T}$

Differential absolute cross section as a function of the parton-level charged lepton rapidity

Covariance of the differential absolute cross section as a function of the parton-level charged lepton rapidity

Differential absolute cross section as a function of the parton-level W boson $p_\textrm{T}$

Covariance of the differential absolute cross section as a function of the parton-level W boson $p_\textrm{T}$

Differential absolute cross section as a function of the parton-level cosine of the top quark polarisation angle

Covariance of the differential absolute cross section as a function of the parton-level cosine of the top quark polarisation angle

Differential absolute cross section as a function of the particle-level top quark $p_\textrm{T}$

Covariance of the differential absolute cross section as a function of the particle-level top quark $p_\textrm{T}$

Differential absolute cross section as a function of the particle-level top quark rapidity

Covariance of the differential absolute cross section as a function of the particle-level top quark rapidity

Differential absolute cross section as a function of the particle-level charged lepton $p_\textrm{T}$

Covariance of the differential absolute cross section as a function of the particle-level charged lepton $p_\textrm{T}$

Differential absolute cross section as a function of the particle-level charged lepton rapidity

Covariance of the differential absolute cross section as a function of the particle-level charged lepton rapidity

Differential absolute cross section as a function of the particle-level W boson $p_\textrm{T}$

Covariance of the differential absolute cross section as a function of the particle-level W boson $p_\textrm{T}$

Differential absolute cross section as a function of the particle-level cosine of the top quark polarisation angle

Covariance of the differential absolute cross section as a function of the particle-level cosine of the top quark polarisation angle

Differential normalised cross section as a function of the parton-level top quark $p_\textrm{T}$

Covariance of the differential normalised cross section as a function of the parton-level top quark $p_\textrm{T}$

Differential normalised cross section as a function of the parton-level top quark rapidity

Covariance of the differential normalised cross section as a function of the parton-level top quark rapidity

Differential normalised cross section as a function of the parton-level charged lepton $p_\textrm{T}$

Covariance of the differential normalised cross section as a function of the parton-level charged lepton $p_\textrm{T}$

Differential normalised cross section as a function of the parton-level charged lepton rapidity

Covariance of the differential normalised cross section as a function of the parton-level charged lepton rapidity

Differential normalised cross section as a function of the parton-level W boson $p_\textrm{T}$

Covariance of the differential normalised cross section as a function of the parton-level W boson $p_\textrm{T}$

Differential normalised cross section as a function of the parton-level cosine of the top quark polarisation angle

Covariance of the differential normalised cross section as a function of the parton-level cosine of the top quark polarisation angle

Differential normalised cross section as a function of the particle-level top quark $p_\textrm{T}$

Covariance of the differential normalised cross section as a function of the particle-level top quark $p_\textrm{T}$

Differential normalised cross section as a function of the particle-level top quark rapidity

Covariance of the differential normalised cross section as a function of the particle-level top quark rapidity

Differential normalised cross section as a function of the particle-level charged lepton $p_\textrm{T}$

Covariance of the differential normalised cross section as a function of the particle-level charged lepton $p_\textrm{T}$

Differential normalised cross section as a function of the particle-level charged lepton rapidity

Covariance of the differential normalised cross section as a function of the particle-level charged lepton rapidity

Differential normalised cross section as a function of the particle-level W boson $p_\textrm{T}$

Covariance of the differential normalised cross section as a function of the particle-level W boson $p_\textrm{T}$

Differential normalised cross section as a function of the particle-level cosine of the top quark polarisation angle

Covariance of the differential normalised cross section as a function of the particle-level cosine of the top quark polarisation angle

Differential charge ratio as a function of the parton-level top quark $p_\textrm{T}$

Covariance of the differential charge ratio as a function of the parton-level top quark $p_\textrm{T}$

Differential charge ratio as a function of the parton-level top quark rapidity

Covariance of the differential charge ratio as a function of the parton-level top quark rapidity

Differential charge ratio as a function of the parton-level charged lepton $p_\textrm{T}$

Covariance of the differential charge ratio as a function of the parton-level charged lepton $p_\textrm{T}$

Differential charge ratio as a function of the parton-level charged lepton rapidity

Covariance of the differential charge ratio as a function of the parton-level charged lepton rapidity

Differential charge ratio as a function of the parton-level W boson $p_\textrm{T}$

Covariance of the differential charge ratio as a function of the parton-level W boson $p_\textrm{T}$

Differential charge ratio as a function of the particle-level top quark $p_\textrm{T}$

Covariance of the differential charge ratio as a function of the particle-level top quark $p_\textrm{T}$

Differential charge ratio as a function of the particle-level top quark rapidity

Covariance of the differential charge ratio as a function of the particle-level top quark rapidity

Differential charge ratio as a function of the particle-level charged lepton $p_\textrm{T}$

Covariance of the differential charge ratio as a function of the particle-level charged lepton $p_\textrm{T}$

Differential charge ratio as a function of the particle-level charged lepton rapidity

Covariance of the differential charge ratio as a function of the particle-level charged lepton rapidity

Differential charge ratio as a function of the particle-level W boson $p_\textrm{T}$

Covariance of the differential charge ratio as a function of the particle-level W boson $p_\textrm{T}$

Top quark spin asymmetry at the parton level in the muon and electron channel and their combination

The covariance matrix containing the statistical uncertainties of Figure 2a is shown.

The covariance matrix containing the experimental uncertainties of Figure 2a is shown.

The covariance matrix containing the model uncertainties of Figure 2a is shown.

The covariance matrix containing the statistical uncertainties of Figure 2b is shown.

The covariance matrix containing the experimental uncertainties of Figure 2b is shown.

The covariance matrix containing the model uncertainties of Figure 2b is shown.

The measured inclusive fiducial cross section measurements. The WW fiducial region is defined by requiring two same-sign leptons with $p_{T}>20$, $|\eta|<2.5$, and $m_{ll}>20$, and two jets with $m_{jj}>500$ and $|\Delta \eta_{jj}|>2.5$. The jets at generator level are clustered from stable particles, excluding neutrinos, using the anti-kt clustering algorithm with R = 0.4, and are required to have $p_{T}>50$ and $|\eta|<4.7$. The jets within $\Delta R<0.4$ of the selected charged leptons are not included. The WZ fiducial region is defined by requiring three leptons with $p_{T}>20$, $|\eta|<2.5$, a pair of opposite charge same-flavor lepton pair with $|m_{ll}-m_{Z}|<15$, and two jets with $m_{jj}>500$ and $|\Delta \eta_{jj}|>2.5$.

Distributions of $m_{jj}$ in the WW signal region.

Distributions of $m_{ll}$ in the WW signal region.

Distributions of $m_{jj}$ in the WZ signal region.

Distributions of BDT score in the WZ signal region.

Absolute WW cross section in $m_{jj}$ bins.

Normalized WW cross section in $m_{jj}$ bins.

Absolute WW cross section in $m_{ll}$ bins.

Normalized WW cross section in $m_{ll}$ bins.

Absolute WW cross section in $p_{T}^{l max}$ bins.

Normalized WW cross section in $p_{T}^{l max}$ bins.

Absolute WZ cross section in $m_{jj}$ bins.

Normalized WZ cross section in $m_{jj}$ bins.

Distributions of $m_{T}^{WW}$ in the WW signal region.

Distributions of $m_{T}^{WZ}$ in the WZ signal region.

Observed and expected lower and upper 95\% confidence level limits in TeV$^{-4}$ on the parameters of the quartic, obtained without using any unitarization procedure.

Observed and expected lower and upper 95\% confidence level limits in TeV$^{-4}$ on the parameters of the quartic by cutting the EFT expansion at the unitarity limit.

The fiducial cross section measured in bins of the azimuthal angle difference between the mesons for events in the fiducial region with 2 Y(1S) with absolute rapidity less than 2.0.

The expected and observed 95% CL limits on the product of the cross section and branching fraction for a tetraquark. The branching fraction is the product of the branching fraction for the decay of the resonance to a Y(1S) meson and two muons, and the Y(1S) meson dimuon branching fraction.

The expected and observed 95% CL limits on the product of the cross section and branching fraction for a scalar state. The branching fraction is the product of the branching fraction for the decay of the resonance to a Y(1S) meson and two muons, and the Y(1S) meson dimuon branching fraction.

The expected and observed 95% CL limits on the product of the cross section and branching fraction for a pseudoscalar state. The branching fraction is the product of the branching fraction for the decay of the resonance to a Y(1S) meson and two muons, and the Y(1S) meson dimuon branching fraction.

The expected and observed 95% CL limits on the product of the cross section and branching fraction for a spin-2 state. The branching fraction is the product of the branching fraction for the decay of the resonance to a Y(1S) meson and two muons, and the Y(1S) meson dimuon branching fraction.

Kinematic properties and charges of the four muons selected in data in the signal region for the measurement of the YY production cross section. MUON1 and MUON2 form the dimuon pair associated to the dimuon object required at trigger-level. The invariant mass of both muon pairs is between 8.6 and 11 GeV. All events pass the trigger requirements and have four muons with a total charge of 0 and with vertex probability above 5%. The muons have pT above 3.5 GeV if they have an absolute pseudorapidity below 0.9 and 2.5 GeV otherwise. The muons pass the medium muon identification criterion.

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)

Data from STAR beam energy scan (Phase I) at RHIC, for mid-rapidity (|y|<0.5)