Searches for supersymmetry with the ATLAS detector using final states with two leptons and missing transverse momentum in $\sqrt{s}=7$ TeV proton-proton collisions
Results of three searches are presented for the production of supersymmetric particles decaying into final states with missing transverse momentum and exactly two isolated leptons, e or mu. The analysis uses a data sample collected during the first half of 2011 that corresponds to a total integrated luminosity of 1 fb^-1 of sqrt{s} = 7 TeV proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider. Opposite-sign and same-sign dilepton events are separately studied, with no deviations from the Standard Model expectation observed. Additionally, in opposite- sign events, a search is made for an excess of same-flavour over different-flavour lepton pairs. Effective production cross sections in excess of 9.9 fb for opposite-sign events containing supersymmetric particles with missing transverse momentum greater than 250 GeV are excluded at 95% CL. For same-sign events containing supersymmetric particles with missing transverse momentum greater than 100 GeV, effective production cross sections in excess of 14.8 fb are excluded at 95% CL. The latter limit is interpreted in a simplified weak gaugino production model excluding chargino masses up to 200 GeV.
28 October 2011
Figure 01
Criteria defining each of the three signal regions for the opposite-sign analysis (OS-SRx), each of the two signal regions for the same-sign analysis (SS-SRx) and each of the three regions for the flavour subtraction analysis (FS-SRx). Regions OS-SR1 and FS-SR3 are identical.
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Figure 02
Predicted number of background events, observed number of events and the corresponding 95$\%$ CL upper limit on A$\times\epsilon\times\sigma$, calculated using the CL$_{s}$ technique, for each opposite-sign and same-sign signal region.
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Figure 03
The observed values of $\mathcal{S}$ ($\mathcal{S}_{obs}$, left column), mean (middle column) and root-mean-squared (RMS, right column) of the distributions of the expected $\mathcal{S}_{b}$ from one million hypothetical signal-free pseudo-experiments.
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Figure 04
Consistency of the observation with the SM expectation (middle column), computed as the percentage of signal-free pseudo-experiments giving values of $\mathcal{S}$ greater than the observation, $\mathcal{S}_{obs}$. Observed limit (right column) on the numbers of same-flavour events from new phenomena multiplied by detector acceptances and efficiencies in each signal region.
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Figure 05
The predicted and observed numbers of events in each opposite-sign signal region. These background contributions are evaluated using the techniques described in Section~\ref{sec:backgrounds}. Entries marked \emph{neg.} are negligible.
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Figure 06
The predicted and observed numbers of events in each same-sign signal region. These background contributions are evaluated using the techniques described in Section~\ref{sec:backgrounds}. Entries marked \emph{neg.} are negligible.
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Figure 07
The predicted and observed numbers of events in each opposite-sign flavour subtraction signal region. These background contributions are evaluated using the techniques described in Section~\ref{sec:backgrounds}.
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Figure 08
Observed limit on $\bar{\mathcal{S}}_{S}$ obtained for FS-SR3, with different fractions of uncorrelated SUSY contributions to the identical and different flavour channels, using the data-driven estimations of the contributions in each channel from the SM background and the purely MC estimates of the contributions in each channel from SM background.
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Figure 09a
Opposite-Sign distributions of the, (a) invariant mass distribution, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the next-highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 09b
Opposite-Sign distributions of the, (a) invariant mass distribution, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the next-highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 09c
Opposite-Sign distributions of the, (a) invariant mass distribution, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the next-highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 09d
Opposite-Sign distributions of the, (a) invariant mass distribution, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the next-highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 09e
Opposite-Sign distributions of the, (a) invariant mass distribution, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the next-highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 09f
Opposite-Sign distributions of the, (a) invariant mass distribution, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the next-highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 10a
Same-Sign distributions of the, (a) the invariant mass, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 10b
Same-Sign distributions of the, (a) the invariant mass, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 10c
Same-Sign distributions of the, (a) the invariant mass, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 10d
Same-Sign distributions of the, (a) the invariant mass, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 10e
Same-Sign distributions of the, (a) the invariant mass, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 10f
Same-Sign distributions of the, (a) the invariant mass, (b) Number of jets with \pt\ $>$ 20 GeV, (c) \pt\ of the highest $p_\mathrm{T}$ lepton, (d) \pt\ of the next-highest $p_\mathrm{T}$ lepton, (e) \pt\ of the highest $p_\mathrm{T}$ jet and (f) \pt\ of the highest $p_\mathrm{T}$ jet. Errors on data points are statistical, while the error band on the MC represents the total uncertainty. In the bottom histogram the black data points, and the uncertainty band, have been divided by the total MC to show whether the fractional deviation of the data from the MC lies within the uncertainty band. The red MC line is the sum of all the SM backgrounds. The component labelled ``Fake leptons'' is evaluated using data as described in the text. The remaining background contributions are from MC, normalised to their respective cross sections and the luminosity of the data sample.
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Figure 12a
Flavour subtracted invariant mass distribution for events in data and MC in FS-SR1. Errors on data points are statistical Poisson limits, while the error band on the MC represents the total uncertainty.
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Figure 12b
Flavour subtracted invariant mass distribution for events in data and MC in FS-SR2. Errors on data points are statistical Poisson limits, while the error band on the MC represents the total uncertainty.
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Figure 13
Distribution of $\mathcal{S}$ values from one-million hypothetical signal-free experiments in FS-SR3. The width is dominated by Poisson fluctuations in the number of $t\bar{t}$ events. The mean of this distribution is near-zero from the expected cancellation of the identical-flavour and different-flavour contributions.
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Figure 14
A summary of the dominant systematic uncertainties on the estimates of the fully-leptonic $t \bar t$ event yields in each opposite-sign signal region. The uncertainties are different in each signal region, because each has a different control region.
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Figure 15a
95$\%$ CL upper cross section limits (CL$_{s}$) in pb and observed and expected limit contours for $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ production in direct gaugino simplified models for (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$ and (b) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$.
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Figure 15b
95$\%$ CL upper cross section limits (CL$_{s}$) in pb and observed and expected limit contours for $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ production in direct gaugino simplified models for (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$ and (b) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$.
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Figure 16a
95$\%$ CL upper cross section limits (CL$_{s}$) in pb and observed and expected limit contours for $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ production in direct gaugino simplified models for (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$, (b) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$ and (c) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$.
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Figure 16b
95$\%$ CL upper cross section limits (CL$_{s}$) in pb and observed and expected limit contours for $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ production in direct gaugino simplified models for (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$, (b) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$ and (c) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$.
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Figure 16c
95$\%$ CL upper cross section limits (CL$_{s}$) in pb and observed and expected limit contours for $\tilde{\chi}^{\pm}_{1}\tilde{\chi}^{0}_{2}$ production in direct gaugino simplified models for (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$, (b) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$ and (c) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}_{1}})$.
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Figure 17a
Selection efficiency (left) and the detector acceptance (right) for the direct gaugino simplified models for cases, (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$, © $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$ and (e) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$.
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Figure 17b
Selection efficiency (left) and the detector acceptance (right) for the direct gaugino simplified models for cases, (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$, © $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$ and (e) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$.
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Figure 17c
Selection efficiency (left) and the detector acceptance (right) for the direct gaugino simplified models for cases, (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$, © $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$ and (e) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$.
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Figure 17d
Selection efficiency (left) and the detector acceptance (right) for the direct gaugino simplified models for cases, (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$, © $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$ and (e) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$.
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Figure 17e
Selection efficiency (left) and the detector acceptance (right) for the direct gaugino simplified models for cases, (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$, © $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$ and (e) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$.
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Figure 17f
Selection efficiency (left) and the detector acceptance (right) for the direct gaugino simplified models for cases, (a) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$, © $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+1/2(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$ and (e) $m_{\tilde{l}}=m_{\tilde{\chi}^{0}_{1}}+3/4(m_{\tilde{\chi}^{\pm}_{1}} - m_{\tilde{\chi}^{0}})$.
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