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(a) Invariant mass of two highest-$\pt$ jets not designated as $b$-jets ($m_{jj}$), (b) and (c) invariant masses of jets designated as $b$-jets and the jets used for $m_{jj}$, ($m_{b1jj}$) and ($m_{b2jj}$), where $b1$ stands for the leading $b$-jet and $b2$ for the subleading $b$-jet, and (d) transverse mass of lepton and $\met$ ($m_{\rm T}$). The distributions have been normalized and show distributions for $t \overline{t}\rightarrow \ell$+jets, $Z(\rightarrow \ell \ell)$+jets, $W(\rightarrow\ell\nu)$+jets MC events and multijet events populating the $\ell$+jets channels. The $e$ and $\mu$ channels have been merged together in the $m_{jj}$, $m_{b1jj}$ and $m_{b2jj}$ distributions. They are kept separate in the $m_{\rm T}$ distributions except for $t \overline{t}$ and $W$+jets. Events are required to have exactly one isolated $e$ or $\mu$, $\met>30\gev$, at least four jets, and at least one $b$-tagged jet.

(a) Invariant mass of two highest-$\pt$ jets not designated as $b$-jets ($m_{jj}$), (b) and (c) invariant masses of jets designated as $b$-jets and the jets used for $m_{jj}$, ($m_{b1jj}$) and ($m_{b2jj}$), where $b1$ stands for the leading $b$-jet and $b2$ for the subleading $b$-jet, and (d) transverse mass of lepton and $\met$ ($m_{\rm T}$). The distributions have been normalized and show distributions for $t \overline{t}\rightarrow \ell$+jets, $Z(\rightarrow \ell \ell)$+jets, $W(\rightarrow\ell\nu)$+jets MC events and multijet events populating the $\ell$+jets channels. The $e$ and $\mu$ channels have been merged together in the $m_{jj}$, $m_{b1jj}$ and $m_{b2jj}$ distributions. They are kept separate in the $m_{\rm T}$ distributions except for $t \overline{t}$ and $W$+jets. Events are required to have exactly one isolated $e$ or $\mu$, $\met>30\gev$, at least four jets, and at least one $b$-tagged jet.

(a) Invariant mass of two highest-$\pt$ jets not designated as $b$-jets ($m_{jj}$), (b) and (c) invariant masses of jets designated as $b$-jets and the jets used for $m_{jj}$, ($m_{b1jj}$) and ($m_{b2jj}$), where $b1$ stands for the leading $b$-jet and $b2$ for the subleading $b$-jet, and (d) transverse mass of lepton and $\met$ ($m_{\rm T}$). The distributions have been normalized and show distributions for $t \overline{t}\rightarrow \ell$+jets, $Z(\rightarrow \ell \ell)$+jets, $W(\rightarrow\ell\nu)$+jets MC events and multijet events populating the $\ell$+jets channels. The $e$ and $\mu$ channels have been merged together in the $m_{jj}$, $m_{b1jj}$ and $m_{b2jj}$ distributions. They are kept separate in the $m_{\rm T}$ distributions except for $t \overline{t}$ and $W$+jets. Events are required to have exactly one isolated $e$ or $\mu$, $\met>30\gev$, at least four jets, and at least one $b$-tagged jet.

(a) Invariant mass of two highest-$\pt$ jets not designated as $b$-jets ($m_{jj}$), (b) and (c) invariant masses of jets designated as $b$-jets and the jets used for $m_{jj}$, ($m_{b1jj}$) and ($m_{b2jj}$), where $b1$ stands for the leading $b$-jet and $b2$ for the subleading $b$-jet, and (d) transverse mass of lepton and $\met$ ($m_{\rm T}$). The distributions have been normalized and show distributions for $t \overline{t}\rightarrow \ell$+jets, $Z(\rightarrow \ell \ell)$+jets, $W(\rightarrow\ell\nu)$+jets MC events and multijet events populating the $\ell$+jets channels. The $e$ and $\mu$ channels have been merged together in the $m_{jj}$, $m_{b1jj}$ and $m_{b2jj}$ distributions. They are kept separate in the $m_{\rm T}$ distributions except for $t \overline{t}$ and $W$+jets. Events are required to have exactly one isolated $e$ or $\mu$, $\met>30\gev$, at least four jets, and at least one $b$-tagged jet.

(a) Invariant mass of two highest-$\pt$ jets not designated as $b$-jets ($m_{jj}$), (b) and (c) invariant masses of jets designated as $b$-jets and the jets used for $m_{jj}$, ($m_{b1jj}$) and ($m_{b2jj}$), where $b1$ stands for the leading $b$-jet and $b2$ for the subleading $b$-jet, and (d) transverse mass of lepton and $\met$ ($m_{\rm T}$). The distributions show ALPGEN MC for a control sample of $Z(\rightarrow\ell\ell)$+jets events selected by requiring $70<m_{\ell\ell}<110\gev$ ($m_{\ell\ell}$ is the invariant mass of the two leptons), $\met>30\gev$, at least four jets, and at least one of them $b$-tagged, compared to the data after subtracting the expected $t \bar t$ contribution. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

(a) Invariant mass of two highest-$\pt$ jets not designated as $b$-jets ($m_{jj}$), (b) and (c) invariant masses of jets designated as $b$-jets and the jets used for $m_{jj}$, ($m_{b1jj}$) and ($m_{b2jj}$), where $b1$ stands for the leading $b$-jet and $b2$ for the subleading $b$-jet, and (d) transverse mass of lepton and $\met$ ($m_{\rm T}$). The distributions show ALPGEN MC for a control sample of $Z(\rightarrow\ell\ell)$+jets events selected by requiring $70<m_{\ell\ell}<110\gev$ ($m_{\ell\ell}$ is the invariant mass of the two leptons), $\met>30\gev$, at least four jets, and at least one of them $b$-tagged, compared to the data after subtracting the expected $t \bar t$ contribution. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

(a) Invariant mass of two highest-$\pt$ jets not designated as $b$-jets ($m_{jj}$), (b) and (c) invariant masses of jets designated as $b$-jets and the jets used for $m_{jj}$, ($m_{b1jj}$) and ($m_{b2jj}$), where $b1$ stands for the leading $b$-jet and $b2$ for the subleading $b$-jet, and (d) transverse mass of lepton and $\met$ ($m_{\rm T}$). The distributions show ALPGEN MC for a control sample of $Z(\rightarrow\ell\ell)$+jets events selected by requiring $70<m_{\ell\ell}<110\gev$ ($m_{\ell\ell}$ is the invariant mass of the two leptons), $\met>30\gev$, at least four jets, and at least one of them $b$-tagged, compared to the data after subtracting the expected $t \bar t$ contribution. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Transverse mass of lepton and $\met$ ($m_{\rm T}$) distributions used in the fits. Events are required to have exactly one isolated $e$ or $\mu$, $\met<30\gev$, at least four jets, and at least one $b$-tag. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Transverse mass of lepton and $\met$ ($m_{\rm T}$) distributions used in the fits. Events are required to have exactly one isolated $e$ or $\mu$, $\met<30\gev$, at least four jets, and at least one $b$-tag. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Distributions in data compared to the SM expectations after fitting the following distributions: (a,b) the invariant mass of two highest-$\pt$ jets not designated as $b$-jets; (c,d) the invariant mass of the leading jet designated as $b$-jet and the jets used for $m_{jj}$ ($m_{b1jj}$), and (e,f) the invariant mass of the second jet designated as a $b$-jet and the two jets used for $m_{jj}$ ($m_{b2jj}$). The distributions are shown for events with isolated leptons, at least four jets, at least one $b$-tag, and $\met>30$ GeV, with the $e$+jets and $\mu$+jets channels separated. The last bin shows the overflow. The ratio plots show the result of dividing the data points by the model expectation. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Distributions in data compared to the SM expectations after fitting the following distributions: (a,b) the invariant mass of two highest-$\pt$ jets not designated as $b$-jets; (c,d) the invariant mass of the leading jet designated as $b$-jet and the jets used for $m_{jj}$ ($m_{b1jj}$), and (e,f) the invariant mass of the second jet designated as a $b$-jet and the two jets used for $m_{jj}$ ($m_{b2jj}$). The distributions are shown for events with isolated leptons, at least four jets, at least one $b$-tag, and $\met>30$ GeV, with the $e$+jets and $\mu$+jets channels separated. The last bin shows the overflow. The ratio plots show the result of dividing the data points by the model expectation. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Distributions in data compared to the SM expectations after fitting the following distributions: (a,b) the invariant mass of two highest-$\pt$ jets not designated as $b$-jets; (c,d) the invariant mass of the leading jet designated as $b$-jet and the jets used for $m_{jj}$ ($m_{b1jj}$), and (e,f) the invariant mass of the second jet designated as a $b$-jet and the two jets used for $m_{jj}$ ($m_{b2jj}$). The distributions are shown for events with isolated leptons, at least four jets, at least one $b$-tag, and $\met>30$ GeV, with the $e$+jets and $\mu$+jets channels separated. The last bin shows the overflow. The ratio plots show the result of dividing the data points by the model expectation. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Distributions in data compared to the SM expectations after fitting the following distributions: (a,b) the invariant mass of two highest-$\pt$ jets not designated as $b$-jets; (c,d) the invariant mass of the leading jet designated as $b$-jet and the jets used for $m_{jj}$ ($m_{b1jj}$), and (e,f) the invariant mass of the second jet designated as a $b$-jet and the two jets used for $m_{jj}$ ($m_{b2jj}$). The distributions are shown for events with isolated leptons, at least four jets, at least one $b$-tag, and $\met>30$ GeV, with the $e$+jets and $\mu$+jets channels separated. The last bin shows the overflow. The ratio plots show the result of dividing the data points by the model expectation. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Distributions in data compared to the SM expectations after fitting the following distributions: (a,b) the invariant mass of two highest-$\pt$ jets not designated as $b$-jets; (c,d) the invariant mass of the leading jet designated as $b$-jet and the jets used for $m_{jj}$ ($m_{b1jj}$), and (e,f) the invariant mass of the second jet designated as a $b$-jet and the two jets used for $m_{jj}$ ($m_{b2jj}$). The distributions are shown for events with isolated leptons, at least four jets, at least one $b$-tag, and $\met>30$ GeV, with the $e$+jets and $\mu$+jets channels separated. The last bin shows the overflow. The ratio plots show the result of dividing the data points by the model expectation. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Distributions in data compared to the SM expectations after fitting the following distributions: (a,b) the invariant mass of two highest-$\pt$ jets not designated as $b$-jets; (c,d) the invariant mass of the leading jet designated as $b$-jet and the jets used for $m_{jj}$ ($m_{b1jj}$), and (e,f) the invariant mass of the second jet designated as a $b$-jet and the two jets used for $m_{jj}$ ($m_{b2jj}$). The distributions are shown for events with isolated leptons, at least four jets, at least one $b$-tag, and $\met>30$ GeV, with the $e$+jets and $\mu$+jets channels separated. The last bin shows the overflow. The ratio plots show the result of dividing the data points by the model expectation. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

The transverse mass of lepton and $\met$ ($m_{\rm T}$) distributions for events with isolated leptons, at least four jets, at least one $b$-tag and $\met>30\gev$ in the $e$+jets and $\mu$+jets channels. The last bin shows the overflow. The ratio plots show the result of dividing the data points by the model expectation. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

The transverse mass of lepton and $\met$ ($m_{\rm T}$) distributions for events with isolated leptons, at least four jets, at least one $b$-tag and $\met>30\gev$ in the $e$+jets and $\mu$+jets channels. The last bin shows the overflow. The ratio plots show the result of dividing the data points by the model expectation. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Dilepton invariant masses (a) $m_{ee}$, (b) $m_{\mu\mu}$, and $\met$ distributions for events with two isolated leptons, $\met>30\gev$, at least two jets, and at least one $b$-tag in the (c) $ee$+jets and (d) $\mu\mu$+jets channels. The $Z$+jet entries include a small contribution from $Z\rightarrow\tau^+\tau^-$ with both $\tau$ leptons decaying to $e$ or $\mu$. The ratio plots show the result of dividing the data points by the fit. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Dilepton invariant masses (a) $m_{ee}$, (b) $m_{\mu\mu}$, and $\met$ distributions for events with two isolated leptons, $\met>30\gev$, at least two jets, and at least one $b$-tag in the (c) $ee$+jets and (d) $\mu\mu$+jets channels. The $Z$+jet entries include a small contribution from $Z\rightarrow\tau^+\tau^-$ with both $\tau$ leptons decaying to $e$ or $\mu$. The ratio plots show the result of dividing the data points by the fit. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Dilepton invariant masses (a) $m_{ee}$, (b) $m_{\mu\mu}$, and $\met$ distributions for events with two isolated leptons, $\met>30\gev$, at least two jets, and at least one $b$-tag in the (c) $ee$+jets and (d) $\mu\mu$+jets channels. The $Z$+jet entries include a small contribution from $Z\rightarrow\tau^+\tau^-$ with both $\tau$ leptons decaying to $e$ or $\mu$. The ratio plots show the result of dividing the data points by the fit. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Dilepton invariant masses (a) $m_{ee}$, (b) $m_{\mu\mu}$, and $\met$ distributions for events with two isolated leptons, $\met>30\gev$, at least two jets, and at least one $b$-tag in the (c) $ee$+jets and (d) $\mu\mu$+jets channels. The $Z$+jet entries include a small contribution from $Z\rightarrow\tau^+\tau^-$ with both $\tau$ leptons decaying to $e$ or $\mu$. The ratio plots show the result of dividing the data points by the fit. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

(a) Invariant mass of electron and muon ($m_{e\mu}$) and (b) $\met$ distributions for $e\mu$ events after requiring one isolated $e$ and one isolated $\mu$, $\met>30\gev$, at least two jets, and at least one $b$-tag. The ratio plots show the result of dividing the data points by the fit. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

(a) Invariant mass of electron and muon ($m_{e\mu}$) and (b) $\met$ distributions for $e\mu$ events after requiring one isolated $e$ and one isolated $\mu$, $\met>30\gev$, at least two jets, and at least one $b$-tag. The ratio plots show the result of dividing the data points by the fit. The model uncertainty (model unc.) is the sum in quadrature of the statistical uncertainties of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Normalized distributions of the output of the boosted decision tree used to discriminate $\tau$ leptons from jets misidentified as $\tau$s, BDT$_j$, for $\tau$ candidates from $W+1$-jet and $W+2$-jets samples for leptons with opposite sign (OS), the distribution of opposite-sign leptons with the same-sign lepton distribution subtracted (OS$-$SS), and the extracted BDT$_j$ distributions ($K\cdot G$, see text) for gluon jets misidentified as $\tau$ candidates is shown.

Normalized distributions of the output of the boosted decision tree used to discriminate $\tau$ leptons from jets misidentified as $\tau$s, BDT$_j$, for $\tau$ candidates from $W+1$-jet and $W+2$-jets samples for leptons with opposite sign (OS), the distribution of opposite-sign leptons with the same-sign lepton distribution subtracted (OS$-$SS), and the extracted BDT$_j$ distributions ($K\cdot G$, see text) for gluon jets misidentified as $\tau$ candidates is shown.

Normalized distributions of the output of the boosted decision tree used to discriminate $\tau$ leptons from jets misidentified as $\tau$s, BDT$_j$, for $\tau$ candidates from $W+1$-jet and $W+2$-jets samples for leptons with opposite sign (OS), the distribution of opposite-sign leptons with the same-sign lepton distribution subtracted (OS$-$SS), and the extracted BDT$_j$ distributions ($K\cdot G$, see text) for gluon jets misidentified as $\tau$ candidates is shown.

Fitted distributions of the $\tau$-jet discriminant BDT$_j$ MC using corrected background templates for two $E_T$ regions. The model uncertainty is the uncertainty of the templates used in the fits to the data.

Fitted distributions of the $\tau$-jet discriminant BDT$_j$ MC using corrected background templates for two $E_T$ regions. The model uncertainty is the uncertainty of the templates used in the fits to the data.

Fitted distributions of the $\tau$-jet discriminant BDT$_j$ in data using corrected background templates for (a) $20\gev\le E_{\rm T} \le 35 \gev$ and (b) $35\gev\le E_{\rm T} \le 100 \gev$. The model uncertainty is the statistical uncertainty of the templates used in the fits.

Fitted distributions of the $\tau$-jet discriminant BDT$_j$ in data using corrected background templates for (a) $20\gev\le E_{\rm T} \le 35 \gev$ and (b) $35\gev\le E_{\rm T} \le 100 \gev$. The model uncertainty is the statistical uncertainty of the templates used in the fits.

Transverse mass distributions ($m_{\rm T}$) of $t \overline{t}\rightarrow\ell\tau_\mathrm{had}$+jets events. The black points are data, the solid histograms the prediction based on the fits to the BDT$_j$ distributions. The jet background is the sum of all channels with jets misidentified as $\tau$ candidates normalized to the amount obtained from the fits to BDT$_j$ distributions. The multijet background is the estimated contribution from non-$t \overline{t}$ multijet processes and is included in the jet background. The model uncertainty is the statistical uncertainty of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.

Transverse mass distributions ($m_{\rm T}$) of $t \overline{t}\rightarrow\ell\tau_\mathrm{had}$+jets events. The black points are data, the solid histograms the prediction based on the fits to the BDT$_j$ distributions. The jet background is the sum of all channels with jets misidentified as $\tau$ candidates normalized to the amount obtained from the fits to BDT$_j$ distributions. The multijet background is the estimated contribution from non-$t \overline{t}$ multijet processes and is included in the jet background. The model uncertainty is the statistical uncertainty of the templates used in the fits. KS is the value of the Kolmogorov-Smirnov goodness-of-fit test.