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The total material thickness ($t$) in units of radiation length $X_{0}$, as a function of $\eta$, that a particle produced at the interaction point must traverse before it reaches the ECAL. The material used for sensors, readout electronics, mechanical structures, cooling, and services is given separately for the silicon pixel detector and for individual components of the silicon strip detector (``TEC'', ``TOB'', ``TIB and TID'')~\cite{Chatrchyan:2014fea}. The material used for the beam pipe and for the support tube that separates the tracker from the ECAL is also shown separately.

Transverse momentum distributions of the visible decay products of $\tauh$ decays, in (left) simulated $\cPZ/\Pggx \to \Pgt\Pgt$ events, (middle) $\PZprime(2.5\TeV) \to \Pgt\Pgt$ events, and (right) of quark and gluon jets in simulated $\PW$+jets and multijet events, at the generator level.

Transverse momentum distributions of the visible decay products of $\tauh$ decays, in (left) simulated $\cPZ/\Pggx \to \Pgt\Pgt$ events, (middle) $\PZprime(2.5\TeV) \to \Pgt\Pgt$ events, and (right) of quark and gluon jets in simulated $\PW$+jets and multijet events, at the generator level.

Transverse momentum distributions of the visible decay products of $\tauh$ decays, in (left) simulated $\cPZ/\Pggx \to \Pgt\Pgt$ events, (middle) $\PZprime(2.5\TeV) \to \Pgt\Pgt$ events, and (right) of quark and gluon jets in simulated $\PW$+jets and multijet events, at the generator level.

Distributions in (left) reconstructed $\tauh$ decay modes and (right) $\tauh$ candidate masses in $\cPZ/\Pggx \to \Pgt\Pgt$ events selected in data, compared to MC expectations. The $\cPZ/\Pggx \to \Pgt\Pgt$ events are selected in the decay channel of muon and $\tauh$, as described in Section~\ref{sec:validation_eventSelection_ZTT}. The $\tauh$ are required to pass the medium working point of the MVA-based $\tauh$ isolation discriminant. The mass of $\tauh$ candidates reconstructed in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ events is corrected for small data/MC differences in the $\tauh$ energy scale, discussed in Section~\ref{sec:Tau_energy_scale}. The electroweak background is dominated by $\PW$+jets production, with minor contributions arising from single top quark and diboson production. The shaded uncertainty band represents the sum of systematic and statistical uncertainties on the MC simulation.

Distributions in (left) reconstructed $\tauh$ decay modes and (right) $\tauh$ candidate masses in $\cPZ/\Pggx \to \Pgt\Pgt$ events selected in data, compared to MC expectations. The $\cPZ/\Pggx \to \Pgt\Pgt$ events are selected in the decay channel of muon and $\tauh$, as described in Section~\ref{sec:validation_eventSelection_ZTT}. The $\tauh$ are required to pass the medium working point of the MVA-based $\tauh$ isolation discriminant. The mass of $\tauh$ candidates reconstructed in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ events is corrected for small data/MC differences in the $\tauh$ energy scale, discussed in Section~\ref{sec:Tau_energy_scale}. The electroweak background is dominated by $\PW$+jets production, with minor contributions arising from single top quark and diboson production. The shaded uncertainty band represents the sum of systematic and statistical uncertainties on the MC simulation.

Distributions, normalized to unity, in observables used as input variables to the MVA-based isolation discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$. In the plot of the $\tauh$ decay mode on the upper right, an entry at 0 represents the decay mode $\oneProngZeroPizero$, 1 and 2 represent the decay modes $\oneProngOnePizero$ and $\oneProngTwoPizero$, respectively, and entry 10 represents the $\threeProngZeroPizero$ decay mode.

Distributions, normalized to unity, in observables used as input variables to the MVA-based isolation discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$. In the plot of the $\tauh$ decay mode on the upper right, an entry at 0 represents the decay mode $\oneProngZeroPizero$, 1 and 2 represent the decay modes $\oneProngOnePizero$ and $\oneProngTwoPizero$, respectively, and entry 10 represents the $\threeProngZeroPizero$ decay mode.

Distributions, normalized to unity, in observables used as input variables to the MVA-based isolation discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$. In the plot of the $\tauh$ decay mode on the upper right, an entry at 0 represents the decay mode $\oneProngZeroPizero$, 1 and 2 represent the decay modes $\oneProngOnePizero$ and $\oneProngTwoPizero$, respectively, and entry 10 represents the $\threeProngZeroPizero$ decay mode.

Distributions, normalized to unity, in observables used as input variables to the MVA-based isolation discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$. In the plot of the $\tauh$ decay mode on the upper right, an entry at 0 represents the decay mode $\oneProngZeroPizero$, 1 and 2 represent the decay modes $\oneProngOnePizero$ and $\oneProngTwoPizero$, respectively, and entry 10 represents the $\threeProngZeroPizero$ decay mode.

Distributions, normalized to unity, in observables used as input variables to the MVA-based isolation discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$. In the plot of the $\tauh$ decay mode on the upper right, an entry at 0 represents the decay mode $\oneProngZeroPizero$, 1 and 2 represent the decay modes $\oneProngOnePizero$ and $\oneProngTwoPizero$, respectively, and entry 10 represents the $\threeProngZeroPizero$ decay mode.

Distributions, normalized to unity, in observables used as input variables to the MVA-based isolation discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$. In the plot of the $\tauh$ decay mode on the upper right, an entry at 0 represents the decay mode $\oneProngZeroPizero$, 1 and 2 represent the decay modes $\oneProngOnePizero$ and $\oneProngTwoPizero$, respectively, and entry 10 represents the $\threeProngZeroPizero$ decay mode.

Distributions, normalized to unity, in observables used as input variables to the MVA-based isolation discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$. In the plot of the $\tauh$ decay mode on the upper right, an entry at 0 represents the decay mode $\oneProngZeroPizero$, 1 and 2 represent the decay modes $\oneProngOnePizero$ and $\oneProngTwoPizero$, respectively, and entry 10 represents the $\threeProngZeroPizero$ decay mode.

Distributions, normalized to unity, in observables used as input variables to the MVA-based isolation discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$. In the plot of the $\tauh$ decay mode on the upper right, an entry at 0 represents the decay mode $\oneProngZeroPizero$, 1 and 2 represent the decay modes $\oneProngOnePizero$ and $\oneProngTwoPizero$, respectively, and entry 10 represents the $\threeProngZeroPizero$ decay mode.

Distribution of MVA output for the $\tauh$ identification discriminant that includes lifetime information for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and jets in simulated $\PW$+jets (red) events.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Distributions, normalized to unity, in observables that are used as inputs to the MVA-based electron discriminant, for hadronic $\Pgt$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (blue), and electrons in simulated $\cPZ/\Pggx \to \Pe\Pe$ (red) events. The $\tauh$ candidates must have $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$.

Left: Correlation between generated and reconstructed $\tauh$ decay modes for $\tauh$ decays in $\cPZ/\Pggx \to \Pgt\Pgt$ events, simulated for pileup conditions characteristic of the LHC Run 1 data-taking period. Right: Fraction of generated $\tauh$ reconstructed in the correct decay mode as function of $\Nvtx$. Reconstructed $\tauh$ candidates are required to be matched to hadronic $\Pgt$ decays at the generator-level within $\Delta R < 0.3$, to be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$, and pass $\pt > 20$\GeV, $\abs{\eta} < 2.3$, and the loose WP of the cutoff-based $\tauh$ isolation discriminant.

Left: Correlation between generated and reconstructed $\tauh$ decay modes for $\tauh$ decays in $\cPZ/\Pggx \to \Pgt\Pgt$ events, simulated for pileup conditions characteristic of the LHC Run 1 data-taking period. Right: Fraction of generated $\tauh$ reconstructed in the correct decay mode as function of $\Nvtx$. Reconstructed $\tauh$ candidates are required to be matched to hadronic $\Pgt$ decays at the generator-level within $\Delta R < 0.3$, to be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$, and pass $\pt > 20$\GeV, $\abs{\eta} < 2.3$, and the loose WP of the cutoff-based $\tauh$ isolation discriminant.

The $\tauh$ energy response (left) and relative resolution (right) as function of generator-level visible $\Pgt$ \pt in simulated $\PZprime \to \Pgt\Pgt$ events for different pileup conditions: $\Nvtx \leq 12$, $13 \leq \Nvtx \leq 17$, and $\Nvtx \geq 18$. Reconstructed $\tauh$ candidates are required to be matched to hadronic $\Pgt$ decays at the generator-level within $\Delta R < 0.3$, to be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$ or $\threeProngZeroPizero$, and to pass $\pt > 20$\GeV, $\abs{\eta} < 2.3$, and the loose WP of the cutoff-based $\tauh$ isolation discriminant.

The $\tauh$ energy response (left) and relative resolution (right) as function of generator-level visible $\Pgt$ \pt in simulated $\PZprime \to \Pgt\Pgt$ events for different pileup conditions: $\Nvtx \leq 12$, $13 \leq \Nvtx \leq 17$, and $\Nvtx \geq 18$. Reconstructed $\tauh$ candidates are required to be matched to hadronic $\Pgt$ decays at the generator-level within $\Delta R < 0.3$, to be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$ or $\threeProngZeroPizero$, and to pass $\pt > 20$\GeV, $\abs{\eta} < 2.3$, and the loose WP of the cutoff-based $\tauh$ isolation discriminant.

Efficiency for $\tauh$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (left) and $\PZprime \to \Pgt\Pgt$ (right) events to be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$, to satisfy the conditions $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and to pass: the loose, medium and tight WP of the cutoff-based $\tauh$ isolation discriminant (top) and the very loose, loose, medium and tight WP of the MVA-based tau isolation discriminant (bottom). The efficiency is shown as a function of the generator-level \pt of the visible $\Pgt$ decay products in $\tauh$ decays that are within $\abs{\eta} < 2.3$.

Efficiency for $\tauh$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (left) and $\PZprime \to \Pgt\Pgt$ (right) events to be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$, to satisfy the conditions $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and to pass: the loose, medium and tight WP of the cutoff-based $\tauh$ isolation discriminant (top) and the very loose, loose, medium and tight WP of the MVA-based tau isolation discriminant (bottom). The efficiency is shown as a function of the generator-level \pt of the visible $\Pgt$ decay products in $\tauh$ decays that are within $\abs{\eta} < 2.3$.

Efficiency for $\tauh$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (left) and $\PZprime \to \Pgt\Pgt$ (right) events to be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$, to satisfy the conditions $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and to pass: the loose, medium and tight WP of the cutoff-based $\tauh$ isolation discriminant (top) and the very loose, loose, medium and tight WP of the MVA-based tau isolation discriminant (bottom). The efficiency is shown as a function of the generator-level \pt of the visible $\Pgt$ decay products in $\tauh$ decays that are within $\abs{\eta} < 2.3$.

Efficiency for $\tauh$ decays in simulated $\cPZ/\Pggx \to \Pgt\Pgt$ (left) and $\PZprime \to \Pgt\Pgt$ (right) events to be reconstructed in one of the decay modes $\oneProngZeroPizero$, $\oneProngOnePizero$, $\oneProngTwoPizero$, or $\threeProngZeroPizero$, to satisfy the conditions $\pt > 20$\GeV and $\abs{\eta} < 2.3$, and to pass: the loose, medium and tight WP of the cutoff-based $\tauh$ isolation discriminant (top) and the very loose, loose, medium and tight WP of the MVA-based tau isolation discriminant (bottom). The efficiency is shown as a function of the generator-level \pt of the visible $\Pgt$ decay products in $\tauh$ decays that are within $\abs{\eta} < 2.3$.

Top: Distribution in the visible mass of $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ candidate events, in which the reconstructed $\tauh$ candidate contains (upper left) a single or (upper right) three charged particles. Bottom: Distribution in (lower left) transverse impact parameter for events in which the $\tauh$ candidate contains one charged particle and (lower right) in the distance between the $\Pgt$ production and decay vertex for events in which the $\tauh$ candidate contains three charged particles. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate are misidentified are denoted by ``DY others''.

Top: Distribution in the visible mass of $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ candidate events, in which the reconstructed $\tauh$ candidate contains (upper left) a single or (upper right) three charged particles. Bottom: Distribution in (lower left) transverse impact parameter for events in which the $\tauh$ candidate contains one charged particle and (lower right) in the distance between the $\Pgt$ production and decay vertex for events in which the $\tauh$ candidate contains three charged particles. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate are misidentified are denoted by ``DY others''.

Top: Distribution in the visible mass of $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ candidate events, in which the reconstructed $\tauh$ candidate contains (upper left) a single or (upper right) three charged particles. Bottom: Distribution in (lower left) transverse impact parameter for events in which the $\tauh$ candidate contains one charged particle and (lower right) in the distance between the $\Pgt$ production and decay vertex for events in which the $\tauh$ candidate contains three charged particles. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate are misidentified are denoted by ``DY others''.

Top: Distribution in the visible mass of $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ candidate events, in which the reconstructed $\tauh$ candidate contains (upper left) a single or (upper right) three charged particles. Bottom: Distribution in (lower left) transverse impact parameter for events in which the $\tauh$ candidate contains one charged particle and (lower right) in the distance between the $\Pgt$ production and decay vertex for events in which the $\tauh$ candidate contains three charged particles. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate are misidentified are denoted by ``DY others''.

Distribution in the \pt of $\tauh$ candidates in (left) $\cPZ/\Pggx \to \Pgt\Pgt$ and (right) $\cPqt\cPaqt$ events in data and in simulations. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) and $\cPqt\cPaqt$ events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is misidentified are denoted in the MC simulation by ``DY others'' and ``$\cPqt\cPaqt$ others'', respectively.

Distribution in the \pt of $\tauh$ candidates in (left) $\cPZ/\Pggx \to \Pgt\Pgt$ and (right) $\cPqt\cPaqt$ events in data and in simulations. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) and $\cPqt\cPaqt$ events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is misidentified are denoted in the MC simulation by ``DY others'' and ``$\cPqt\cPaqt$ others'', respectively.

Jet \pt distribution in (left) multijet and (right) $\PW$+jets events observed in data, compared to the MC expectation. The uncertainty in the MC expectation is dominated by the uncertainty in the jet energy scale.

Jet \pt distribution in (left) multijet and (right) $\PW$+jets events observed in data, compared to the MC expectation. The uncertainty in the MC expectation is dominated by the uncertainty in the jet energy scale.

Distribution in $\mVis$ observed in the pass (left) and fail (right) samples of $\cPZ/\Pggx \to \Pgt\Pgt$ candidate events used to measure the $\tauh$ identification efficiency, compared to the MC expectation, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants. $\cPZ/\Pggx \to \Plepton\Plepton$ ($\Plepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is due to a misidentification are denoted by ``DY others''. The expected $\mVis$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' bands represent the statistical and systematic uncertainties added in quadrature.

Distribution in $\mVis$ observed in the pass (left) and fail (right) samples of $\cPZ/\Pggx \to \Pgt\Pgt$ candidate events used to measure the $\tauh$ identification efficiency, compared to the MC expectation, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants. $\cPZ/\Pggx \to \Plepton\Plepton$ ($\Plepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is due to a misidentification are denoted by ``DY others''. The expected $\mVis$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' bands represent the statistical and systematic uncertainties added in quadrature.

Distribution in $\mVis$ observed in the pass (left) and fail (right) samples of $\cPZ/\Pggx \to \Pgt\Pgt$ candidate events used to measure the $\tauh$ identification efficiency, compared to the MC expectation, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants. $\cPZ/\Pggx \to \Plepton\Plepton$ ($\Plepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is due to a misidentification are denoted by ``DY others''. The expected $\mVis$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' bands represent the statistical and systematic uncertainties added in quadrature.

Distribution in $\mVis$ observed in the pass (left) and fail (right) samples of $\cPZ/\Pggx \to \Pgt\Pgt$ candidate events used to measure the $\tauh$ identification efficiency, compared to the MC expectation, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants. $\cPZ/\Pggx \to \Plepton\Plepton$ ($\Plepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is due to a misidentification are denoted by ``DY others''. The expected $\mVis$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' bands represent the statistical and systematic uncertainties added in quadrature.

Distribution in $\Ntracks$ observed in the pass (left) and fail (right) samples of $\cPZ/\Pggx \to \Pgt\Pgt$ candidate events used to measure the $\tauh$ identification efficiency, compared to the MC expectation, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants. $\cPZ/\Pggx \to \Plepton\Plepton$ ($\Plepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is due to a misidentification are denoted by ``DY others''. The expected $\Ntracks$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' bands represent the statistical and systematic uncertainties added in quadrature.

Distribution in $\Ntracks$ observed in the pass (left) and fail (right) samples of $\cPZ/\Pggx \to \Pgt\Pgt$ candidate events used to measure the $\tauh$ identification efficiency, compared to the MC expectation, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants. $\cPZ/\Pggx \to \Plepton\Plepton$ ($\Plepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is due to a misidentification are denoted by ``DY others''. The expected $\Ntracks$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' bands represent the statistical and systematic uncertainties added in quadrature.

Distribution in $\Ntracks$ observed in the pass (left) and fail (right) samples of $\cPZ/\Pggx \to \Pgt\Pgt$ candidate events used to measure the $\tauh$ identification efficiency, compared to the MC expectation, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants. $\cPZ/\Pggx \to \Plepton\Plepton$ ($\Plepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is due to a misidentification are denoted by ``DY others''. The expected $\Ntracks$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' bands represent the statistical and systematic uncertainties added in quadrature.

Distribution in $\Ntracks$ observed in the pass (left) and fail (right) samples of $\cPZ/\Pggx \to \Pgt\Pgt$ candidate events used to measure the $\tauh$ identification efficiency, compared to the MC expectation, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants. $\cPZ/\Pggx \to \Plepton\Plepton$ ($\Plepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the reconstructed muon or the reconstructed $\tauh$ candidate is due to a misidentification are denoted by ``DY others''. The expected $\Ntracks$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' bands represent the statistical and systematic uncertainties added in quadrature.

Tau identification efficiency measured in $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ events as function of \pt and $\eta$, for the cutoff-based and MVA-based $\tauh$ isolation discriminants, compared to the MC expectation. The efficiency is computed relative to $\tauh$ candidates passing the loose $\tauh$ candidate selection described in Section~\ref{sec:tauIdEfficiency_TnP_Ztautau}.

Tau identification efficiency measured in $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ events as function of \pt and $\eta$, for the cutoff-based and MVA-based $\tauh$ isolation discriminants, compared to the MC expectation. The efficiency is computed relative to $\tauh$ candidates passing the loose $\tauh$ candidate selection described in Section~\ref{sec:tauIdEfficiency_TnP_Ztautau}.

Tau identification efficiency measured in $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ events as function of \pt and $\eta$, for the cutoff-based and MVA-based $\tauh$ isolation discriminants, compared to the MC expectation. The efficiency is computed relative to $\tauh$ candidates passing the loose $\tauh$ candidate selection described in Section~\ref{sec:tauIdEfficiency_TnP_Ztautau}.

Tau identification efficiency measured in $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ events as function of \pt and $\eta$, for the cutoff-based and MVA-based $\tauh$ isolation discriminants, compared to the MC expectation. The efficiency is computed relative to $\tauh$ candidates passing the loose $\tauh$ candidate selection described in Section~\ref{sec:tauIdEfficiency_TnP_Ztautau}.

Tau identification efficiency measured in $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ events as a function of the number of reconstructed vertices $\Nvtx$, for the cutoff-based and MVA-based $\tauh$ isolation discriminants, compared to the MC expectation. The efficiency is computed relative to $\tauh$ candidates passing the loose $\tauh$ candidate selection described in Section~\ref{sec:tauIdEfficiency_TnP_Ztautau}.

Tau identification efficiency measured in $\cPZ/\Pggx \to \Pgt\Pgt \to \Pgm\tauh$ events as a function of the number of reconstructed vertices $\Nvtx$, for the cutoff-based and MVA-based $\tauh$ isolation discriminants, compared to the MC expectation. The efficiency is computed relative to $\tauh$ candidates passing the loose $\tauh$ candidate selection described in Section~\ref{sec:tauIdEfficiency_TnP_Ztautau}.

Distribution in the transverse mass of the muon and $\MET$ in the pass region (left) and in the dimuon region (right) in $\cPqt\cPaqt$ events used to measure the $\tauh$ identification efficiency, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants, respectively. The $\cPqt\cPaqt$ events in which either the reconstructed muon or the reconstructed $\tauh$ candidate are misidentified are denoted by ``$\cPqt\cPaqt$ others''. The expected $\mT$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the transverse mass of the muon and $\MET$ in the pass region (left) and in the dimuon region (right) in $\cPqt\cPaqt$ events used to measure the $\tauh$ identification efficiency, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants, respectively. The $\cPqt\cPaqt$ events in which either the reconstructed muon or the reconstructed $\tauh$ candidate are misidentified are denoted by ``$\cPqt\cPaqt$ others''. The expected $\mT$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the transverse mass of the muon and $\MET$ in the pass region (left) and in the dimuon region (right) in $\cPqt\cPaqt$ events used to measure the $\tauh$ identification efficiency, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants, respectively. The $\cPqt\cPaqt$ events in which either the reconstructed muon or the reconstructed $\tauh$ candidate are misidentified are denoted by ``$\cPqt\cPaqt$ others''. The expected $\mT$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the transverse mass of the muon and $\MET$ in the pass region (left) and in the dimuon region (right) in $\cPqt\cPaqt$ events used to measure the $\tauh$ identification efficiency, for the loose WP of the cutoff-based (top) and MVA-based (bottom) $\tauh$ isolation discriminants, respectively. The $\cPqt\cPaqt$ events in which either the reconstructed muon or the reconstructed $\tauh$ candidate are misidentified are denoted by ``$\cPqt\cPaqt$ others''. The expected $\mT$ distribution is shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in $m_{\tauh}$, observed in events containing $\tauh$ candidates of $20 < \pt < 30$\GeV, reconstructed in the decay modes $\oneProngPizeros$ (top) and $\threeProngZeroPizero$ (bottom), compared to the sum of $\cPZ/\Pggx \to \Pgt\Pgt$ signal plus background expectation. The $m_{\tauh}$ shape templates for the $\cPZ/\Pggx \to \Pgt\Pgt$ signal are shown for $\Pgt$ES variations of $-6\%$ (left), 0\% (centre) and $+6\%$ (right). For clarity, the symbols $\pt^{\Pgt}$ and $m_{\Pgt}$ are used instead of $\pt^{\tauh}$ and $m_{\tauh}$ in these plots.

Distribution in $m_{\tauh}$, observed in events containing $\tauh$ candidates of $20 < \pt < 30$\GeV, reconstructed in the decay modes $\oneProngPizeros$ (top) and $\threeProngZeroPizero$ (bottom), compared to the sum of $\cPZ/\Pggx \to \Pgt\Pgt$ signal plus background expectation. The $m_{\tauh}$ shape templates for the $\cPZ/\Pggx \to \Pgt\Pgt$ signal are shown for $\Pgt$ES variations of $-6\%$ (left), 0\% (centre) and $+6\%$ (right). For clarity, the symbols $\pt^{\Pgt}$ and $m_{\Pgt}$ are used instead of $\pt^{\tauh}$ and $m_{\tauh}$ in these plots.

Distribution in $m_{\tauh}$, observed in events containing $\tauh$ candidates of $20 < \pt < 30$\GeV, reconstructed in the decay modes $\oneProngPizeros$ (top) and $\threeProngZeroPizero$ (bottom), compared to the sum of $\cPZ/\Pggx \to \Pgt\Pgt$ signal plus background expectation. The $m_{\tauh}$ shape templates for the $\cPZ/\Pggx \to \Pgt\Pgt$ signal are shown for $\Pgt$ES variations of $-6\%$ (left), 0\% (centre) and $+6\%$ (right). For clarity, the symbols $\pt^{\Pgt}$ and $m_{\Pgt}$ are used instead of $\pt^{\tauh}$ and $m_{\tauh}$ in these plots.

Distribution in $m_{\tauh}$, observed in events containing $\tauh$ candidates of $20 < \pt < 30$\GeV, reconstructed in the decay modes $\oneProngPizeros$ (top) and $\threeProngZeroPizero$ (bottom), compared to the sum of $\cPZ/\Pggx \to \Pgt\Pgt$ signal plus background expectation. The $m_{\tauh}$ shape templates for the $\cPZ/\Pggx \to \Pgt\Pgt$ signal are shown for $\Pgt$ES variations of $-6\%$ (left), 0\% (centre) and $+6\%$ (right). For clarity, the symbols $\pt^{\Pgt}$ and $m_{\Pgt}$ are used instead of $\pt^{\tauh}$ and $m_{\tauh}$ in these plots.

Distribution in $m_{\tauh}$, observed in events containing $\tauh$ candidates of $20 < \pt < 30$\GeV, reconstructed in the decay modes $\oneProngPizeros$ (top) and $\threeProngZeroPizero$ (bottom), compared to the sum of $\cPZ/\Pggx \to \Pgt\Pgt$ signal plus background expectation. The $m_{\tauh}$ shape templates for the $\cPZ/\Pggx \to \Pgt\Pgt$ signal are shown for $\Pgt$ES variations of $-6\%$ (left), 0\% (centre) and $+6\%$ (right). For clarity, the symbols $\pt^{\Pgt}$ and $m_{\Pgt}$ are used instead of $\pt^{\tauh}$ and $m_{\tauh}$ in these plots.

Distribution in $m_{\tauh}$, observed in events containing $\tauh$ candidates of $20 < \pt < 30$\GeV, reconstructed in the decay modes $\oneProngPizeros$ (top) and $\threeProngZeroPizero$ (bottom), compared to the sum of $\cPZ/\Pggx \to \Pgt\Pgt$ signal plus background expectation. The $m_{\tauh}$ shape templates for the $\cPZ/\Pggx \to \Pgt\Pgt$ signal are shown for $\Pgt$ES variations of $-6\%$ (left), 0\% (centre) and $+6\%$ (right). For clarity, the symbols $\pt^{\Pgt}$ and $m_{\Pgt}$ are used instead of $\pt^{\tauh}$ and $m_{\tauh}$ in these plots.

Energy scale corrections for $\tauh$ measured in $\cPZ/\Pggx \to \Pgt\Pgt$ events, using the distribution in (left) visible mass of muon and $\tauh$ and (right) of the $\tauh$ candidate mass, for $\tauh$ reconstructed in different decay modes and in different ranges of $\tauh$ candidate \pt.

Energy scale corrections for $\tauh$ measured in $\cPZ/\Pggx \to \Pgt\Pgt$ events, using the distribution in (left) visible mass of muon and $\tauh$ and (right) of the $\tauh$ candidate mass, for $\tauh$ reconstructed in different decay modes and in different ranges of $\tauh$ candidate \pt.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of jet \pt. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of jet \pt. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of jet \pt. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of jet \pt. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of jet $\eta$. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of jet $\eta$. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of jet $\eta$. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of jet $\eta$. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of $\Nvtx$. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of $\Nvtx$. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of $\Nvtx$. The misidentification rates measured in the data are compared to the MC expectation.

Probabilities for quark and gluon jets in $\PW$+jets (top) and multijet (bottom) events to pass the cutoff-based (left) and MVA-based (right) $\tauh$ isolation discriminant, as a function of $\Nvtx$. The misidentification rates measured in the data are compared to the MC expectation.

Distribution in the visible mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the electron discriminant in the barrel (top) and endcap (bottom) regions. The distributions observed in $\cPZ/\Pggx \to \Pe\Pe$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe electron are misidentified are denoted by ``DY others''. The $\cPqt\cPaqt$, single top quark, and diboson backgrounds yield a negligible contribution to the selected event sample and, while present in the fit, are omitted from the legend. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the visible mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the electron discriminant in the barrel (top) and endcap (bottom) regions. The distributions observed in $\cPZ/\Pggx \to \Pe\Pe$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe electron are misidentified are denoted by ``DY others''. The $\cPqt\cPaqt$, single top quark, and diboson backgrounds yield a negligible contribution to the selected event sample and, while present in the fit, are omitted from the legend. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the visible mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the electron discriminant in the barrel (top) and endcap (bottom) regions. The distributions observed in $\cPZ/\Pggx \to \Pe\Pe$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe electron are misidentified are denoted by ``DY others''. The $\cPqt\cPaqt$, single top quark, and diboson backgrounds yield a negligible contribution to the selected event sample and, while present in the fit, are omitted from the legend. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the visible mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the electron discriminant in the barrel (top) and endcap (bottom) regions. The distributions observed in $\cPZ/\Pggx \to \Pe\Pe$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe electron are misidentified are denoted by ``DY others''. The $\cPqt\cPaqt$, single top quark, and diboson backgrounds yield a negligible contribution to the selected event sample and, while present in the fit, are omitted from the legend. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the visible mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the electron discriminant in the barrel (top) and endcap (bottom) regions. The distributions observed in $\cPZ/\Pggx \to \Pe\Pe$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe electron are misidentified are denoted by ``DY others''. The $\cPqt\cPaqt$, single top quark, and diboson backgrounds yield a negligible contribution to the selected event sample and, while present in the fit, are omitted from the legend. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Probability for electrons in $\cPZ/\Pggx \to \Pe\Pe$ events to pass different WP of the discriminant against electrons. The $\Pe \to \tauh$ misidentification rates measured in data are compared to the MC expectation, separately for electrons in the barrel ($\abs{\eta} < 1.46$) and in the endcap ($\abs{\eta} > 1.56$) regions of the electromagnetic calorimeter.

Distribution in the mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the cutoff-based muon discriminant in the region $\abs{\eta} < 1.2$ (top) and $1.2 \leq \abs{\eta} \leq 1.7$ (bottom). The distributions in $\cPZ/\Pggx \to \Pgm\Pgm$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe muon are misidentified are denoted by ``DY others''. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the cutoff-based muon discriminant in the region $\abs{\eta} < 1.2$ (top) and $1.2 \leq \abs{\eta} \leq 1.7$ (bottom). The distributions in $\cPZ/\Pggx \to \Pgm\Pgm$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe muon are misidentified are denoted by ``DY others''. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the cutoff-based muon discriminant in the region $\abs{\eta} < 1.2$ (top) and $1.2 \leq \abs{\eta} \leq 1.7$ (bottom). The distributions in $\cPZ/\Pggx \to \Pgm\Pgm$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe muon are misidentified are denoted by ``DY others''. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.Distribution in the mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the cutoff-based muon discriminant in the region $\abs{\eta} > 1.7$. The distributions in $\cPZ/\Pggx \to \Pgm\Pgm$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe muon are misidentified are denoted by ``DY others''. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the cutoff-based muon discriminant in the region $\abs{\eta} < 1.2$ (top) and $1.2 \leq \abs{\eta} \leq 1.7$ (bottom). The distributions in $\cPZ/\Pggx \to \Pgm\Pgm$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe muon are misidentified are denoted by ``DY others''. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the cutoff-based muon discriminant in the region $\abs{\eta} < 1.2$ (top) and $1.2 \leq \abs{\eta} \leq 1.7$ (bottom). The distributions in $\cPZ/\Pggx \to \Pgm\Pgm$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe muon are misidentified are denoted by ``DY others''. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the cutoff-based muon discriminant in the region $\abs{\eta} > 1.7$. The distributions in $\cPZ/\Pggx \to \Pgm\Pgm$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe muon are misidentified are denoted by ``DY others''. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Distribution in the mass of the tag and probe pair in the pass (left) and fail (right) regions, for the loose WP of the cutoff-based muon discriminant in the region $\abs{\eta} > 1.7$. The distributions in $\cPZ/\Pggx \to \Pgm\Pgm$ candidate events selected in data are compared to the MC expectation, shown for the values of nuisance parameters obtained from the likelihood fit to the data, as described in Section~\ref{sec:validation_templateFits}. The $\cPZ/\Pggx \to \PLepton\PLepton$ ($\PLepton = \Pe$, $\Pgm$, $\Pgt$) events in which either the tag or the probe muon are misidentified are denoted by ``DY others''. The ``Uncertainty'' band represents the statistical and systematic uncertainties added in quadrature.

Probability for muons in $\cPZ/\Pggx \to \Pgm\Pgm$ events to pass different WP of the (left) cut-based and (right) MVA-based discriminants against muons. The $\Pgm \to \tauh$ misidentification rates measured in data are compared to the MC simulation in the regions $\abs{\eta} < 1.2$, $1.2 \leq \abs{\eta} \leq 1.7$, and $\abs{\eta} > 1.7$.

Probability for muons in $\cPZ/\Pggx \to \Pgm\Pgm$ events to pass different WP of the (left) cut-based and (right) MVA-based discriminants against muons. The $\Pgm \to \tauh$ misidentification rates measured in data are compared to the MC simulation in the regions $\abs{\eta} < 1.2$, $1.2 \leq \abs{\eta} \leq 1.7$, and $\abs{\eta} > 1.7$.