jet v2 vs jet pT for 30 to 40% centrality

jet v2 vs jet pT for 40 to 50% centrality

jet v2 vs jet pT for 50 to 60% centrality

jet v2 vs average Npart for 45 < pT < 60 GeV

jet v2 vs average Npart for 60 < pT < 80 GeV

jet v2 vs average Npart for 80 < pT < 110 GeV

jet v2 vs average Npart for 110 < pT < 160 GeV

Observed and predicted mTtot distribution in the b-tag category of the 2tau_h channel. Despite listing this as an exclusive final state (as there must be at least one b-jets), there is no explicit selection on the presence of additional light-flavour jets. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The combined prediction for A and H bosons with masses of 300, 500 and 800 GeV and $\tan\beta$ = 10 in the hMSSM scenario are also provided.

Observed and predicted mTtot distribution for the b-inclusive selection in the 1l1tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. In the paper, the first bin is cut off at 60 GeV for aesthetics but contains underflows down to 50 GeV as in the HepData table. The last bin includes overflows. The prediction for a SSM Zprime with masses of 1500, 2000 and 2500 GeV are also provided.

Observed and predicted mTtot distribution for the b-inclusive selection in the 2tau_h channel. Please note that the bin content is divided by the bin width in the paper figure, but not in the HepData table. The last bin includes overflows. The prediction for a SSM Zprime with masses of 1500, 2000 and 2500 GeV are also provided.

Observed and expected 95% CL upper limits on the b-associated Higgs boson production cross section times ditau branching fraction as a function of the boson mass.

Observed and expected 95% CL upper limits on the Drell Yan production cross section times ditau branching fraction as a function of the Zprime boson mass.

Observed and expected 95% CL upper limits on the Higgs boson production cross section times ditau branching fraction as a function of the boson mass and the relative strength of the b-associated production.

Ratio of the 95% CL upper limits on the production cross section times branching fraction for alternate Zprime models with respect to the SSM, both observed and expected are shown.

Acceptance, acceptance times efficiency and b-tag category fraction for a scalar boson produced by gluon-gluon fusion as a function of the scalar boson mass.

Acceptance, acceptance times efficiency and b-tag category fraction for a scalar boson produced by b-associated production as a function of the scalar boson mass.

Acceptance and acceptance times efficiency for a heavy gauge boson produced by Drell Yan as a function of the gauge boson mass.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Two dimensional likelihood scan of the gluon-gluon fusion cross section times braching fraction, $\sigma(gg\phi)\times B(\phi\to\tau\tau)$, vs the b-associated production times branching fraction, $\sigma(bb\phi)\times B(\phi\to\tau\tau)$ for the Higgs boson mass ($m_\phi$) indicated in the table. For each mass, 10000 points are scanned. At each point $\Delta(\mathrm{NLL})$ is calculated, defined as the negative-log-likelihood (NLL) of the conditional fit with $\sigma(gg\phi)$ and $\sigma(bb\phi)$ fixed to their values at the point and with the minimum NLL value at any point subtracted. Vaules are provided for the fit to the observed data and to the expected data, which is the sum of Standard Model contributions not including the SM Higgs boson. The best-fit point and the preferred 68% and 95% boundaries are found at $2\Delta(\mathrm{NLL})$ values of 0.0, 2.30 and 5.90, respectively.

Observed and expected 95% CL upper limits on the gluon-gluon fusion Higgs boson production cross section times ditau branching fraction as a function of the boson mass.

The $m_{\mathrm{T2}}$ distribution in the multi-jet background VR-F for SR-lowMass. The stacked histograms show the contribution of the non-multi-jet SM backgrounds from MC simulation. The multi-jet contribution is estimated from data using the ABCD method. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The last bin in the left panels includes the overflow events.

The $E_{\mathrm T}^{\mathrm{miss}}$ distribution in the multi-jet background VR-F for SR-highMass. The stacked histograms show the contribution of the non-multi-jet SM backgrounds from MC simulation. The multi-jet contribution is estimated from data using the ABCD method. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The last bin in the left panels includes the overflow events.

The $m_{\mathrm{T2}}$ distribution in the multi-jet background VR-F for SR-highMass. The stacked histograms show the contribution of the non-multi-jet SM backgrounds from MC simulation. The multi-jet contribution is estimated from data using the ABCD method. The hatched bands represent the combined statistical and systematic uncertainties in the sum of the SM backgrounds shown. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The last bin in the left panels includes the overflow events.

The $E_{\mathrm T}^{\mathrm{miss}}$ distribution in the $W$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The contribution of $W$+jets events is scaled to the fit result. The multi-jet contribution is estimated from data using the $OS--SS$ method. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events.

The $m_{\mathrm{T2}}$ distribution in the $W$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The contribution of $W$+jets events is scaled to the fit result. The multi-jet contribution is estimated from data using the $OS--SS$ method. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events.

The $m_{\mathrm{T2}}$ distribution in the $Z$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is estimated from data using the ABCD method, using CRs obtained with the same technique used for the SRs. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events except for the upper left panel.

The $m_{\mathrm{T2}}$ distribution in the Top-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is estimated from data using the ABCD method, using CRs obtained with the same technique used for the SRs. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events except for the upper left panel.

The $m_{\mathrm{T2}}$ distribution in the $WW$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is negligible and not considered. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events except for the upper left panel.

The $m_{\mathrm{T2}}$ distribution in the $ZZ$-VR region. The SM backgrounds other than multi-jet production are estimated from MC simulation. The multi-jet contribution is negligible and not considered. The hatched bands represent the combined statistical and systematic uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the SM background estimate. The last bin includes the overflow events except for the upper left panel.

The $m_{\mathrm{T2}}$ distribution before the $m_{\mathrm{T2}}$ requirement is applied for SR-lowMass region, where the arrow indicates the position of the cut in the signal region. The stacked histograms show the expected SM backgrounds. The multi-jet contribution is estimated from data using the ABCD method. The contributions of multi-jet and $W$+jets events are scaled with the corresponding normalisation factors. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the total SM background estimate. The last bin includes the overflow events.

The $m_{\mathrm{T2}}$ distribution before the $m_{\mathrm{T2}}$ requirement is applied for SR-highMass region, where the arrow indicates the position of the cut in the signal region. The stacked histograms show the expected SM backgrounds. The multi-jet contribution is estimated from data using the ABCD method. The contributions of multi-jet and $W$+jets events are scaled with the corresponding normalisation factors. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distributions of the SUSY reference points are also shown as dashed lines. The lower panels show the ratio of data to the total SM background estimate. The last bin includes the overflow events.

Observed exclusion contours in chargino pair production model.

Expected exclusion contours in chargino pair production model.

Observed exclusion contours in chargino chargino and chargino neutralino production model.

Expected exclusion contours in chargino chargino and chargino neutralino production model.

Observed upper limits on the model cross-section in units of pb as a function of the chargino and neutralino masses in chargino chargino pair production.

Observed upper limits on the model cross-section in units of pb as a function of the chargino and neutralino masses in chargino chargino and chargino neutralino pair production.

Best signal region used in chargino chargino and chargino neutralino pair production, H is corresponding to SR-highMass and L is SR-lowMass.

Observed CLs significance in variable-x model of chargino chargino pair production for compressed mass scenario.

Expected CLs significance in variable-x model of chargino chargino pair production for compressed mass scenario.

Observed CLs significance in variable-x model of chargino chargino pair production for large mass splitting scenario.

Expected CLs significance in variable-x model of chargino chargino pair production for large mass splitting scenario.

Observed CLs significance in variable-x model of chargino chargino and chargino neutralino pair production for compressed mass scenario.

Expected CLs significance in variable-x model of chargino chargino and chargino neutralino pair production for compressed mass scenario.

Observed CLs significance in variable-x model of chargino chargino and chargino neutralino pair production for large mass splitting scenario.

Expected CLs significance in variable-x model of chargino chargino and chargino neutralino pair production for large mass splitting scenario.

Acceptance in SR-lowMass for CHARGINO1 NEUTRALINO2 production.

Acceptance in SR-highMass for CHARGINO1 NEUTRALINO2 production.

Acceptance in SR-highMass for CHARGINO1 CHARGINO1 production.

Efficiency in SR-lowMass for CHARGINO1 NEUTRALINO2 production.

Efficiency in SR-highMass for CHARGINO1 NEUTRALINO2 production.

Efficiency in SR-highMass for CHARGINO1 CHARGINO1 production.

Cut flow for the reference point 1 (CHARGINO1 NEUTRALINO2 production) in SR-lowMass. The column labelled $N_{raw}$ shows the results for the generated number of events, while $N_{weighted}$ includes all correction factors applied to simulation, and is normalised to 36.1 fb$^{-1}$. The quoted uncertainties are statistical only. At the step ``at least two medium tau candidates, matched to trigger objects' the following requirements are applied: the event is recorded using either the asymmetric di-tau trigger or the di-tau+$E_{\mathrm T}^{\mathrm{miss}}$ trigger, and the two matched tau candidates must be of medium quality. If the event has been selected by the asymmetric di-tau trigger, the two tau candidates are required to have ${p}_{\mathrm{T}, \tau_1}>$ 95 GeV and ${p}_{\mathrm{T}, \tau_2}>$ 65 GeV. If the event has been selected by the di-tau+$E_{\mathrm T}^{\mathrm{miss}}$ trigger, the two tau candidates are required to have ${p}_{\mathrm{T}, \tau_1}>$ 50 GeV, ${p}_{\mathrm{T}, \tau_2}>$ 40 GeV, and $E_{\mathrm T}^{\mathrm{miss}}$ > 150 GeV is required.}

Cut flow for the reference point 2 (CHARGINO1 CHARGINO1 production) in SR-highMass. The column labelled $N_{raw}$ shows the results for the generated number of events, while $N_{weighted}$ includes all correction factors applied to simulation, and is normalised to 36.1 fb$^{-1}$. The quoted uncertainties are statistical only. At the step ``at least two medium tau candidates, matched to trigger objects' the following requirements are applied: the event is recorded using either the asymmetric di-tau trigger or the di-tau+$E_{\mathrm T}^{\mathrm{miss}}$ trigger, and the two matched tau candidates must be of medium quality. If the event has been selected by the asymmetric di-tau trigger, the two tau candidates are required to have ${p}_{\mathrm{T}, \tau_1}>$ 95 GeV and ${p}_{\mathrm{T}, \tau_2}>$ 65 GeV. If the event has been selected by the di-tau+$E_{\mathrm T}^{\mathrm{miss}}$ trigger, the two tau candidates are required to have ${p}_{\mathrm{T}, \tau_1}>$ 50 GeV, ${p}_{\mathrm{T}, \tau_2}>$ 40 GeV, and $E_{\mathrm T}^{\mathrm{miss}}$ > 150 GeV is required.}

Observed 95% CL upper limits on the production cross section times branching ratio to a photon and a quark or gluon for the ADD model. The limits are placed as a function of M_th. The calculation is performed using ensemble tests for masses in the search range every 500 GeV.

Fiducial acceptance and selection efficiency for the ADD model as a function of M_th.

Fiducial acceptance and selection efficiency for the RS1 model as a function of M_th.

Measured differential fiducial cross sections in the absolute value of cos(theta*) (second column). The given uncertainty includes statistical and systematic components. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg Minlo HJ for the ggF process, Powheg for the VBF process, and Pythia 8 for the VH and ttH process. The uncertainty includes PDF, scale, and branching fraction uncertainty. The fourth column gives the non-ggF prediction (total minus ggF). All predicted distributions were normalized to the best predicted inclusive Higgs production cross sections available at the time of the publication.

Measured differential fiducial cross sections in jet multiplicity (jet pT > 30 GeV) (second column). The given uncertainty includes statistical and systematic components. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg Minlo HJ for the ggF process, Powheg for the VBF process, and Pythia 8 for the VH and ttH process. The uncertainty includes PDF, scale, and branching fraction uncertainty. The fourth column gives the non-ggF prediction (total minus ggF). All predicted distributions were normalized to the best predicted inclusive Higgs production cross sections available at the time of the publication.

Measured differential fiducial cross sections in the transverse momentum of the leading jet (second column). The given uncertainty includes statistical and systematic components. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg Minlo HJ for the ggF process, Powheg for the VBF process, and Pythia 8 for the VH and ttH process. The uncertainty includes PDF, scale, and branching fraction uncertainty. The fourth column gives the non-ggF prediction (total minus ggF). All predicted distributions were normalized to the best predicted inclusive Higgs production cross sections available at the time of the publication.

Jet multiplicity distributions in control regions CR$^{1\ell 4b}_{t\bar{t},B}$, after normalising the $t\bar{t}$ background process via the simultaneous fit described in Section 5. The $t\bar{t}$ background normalisation is constrained to the data observation for jet multiplicity values above the requirements shown in Table 6. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. The "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production. The last bin in each figure contains the overflow. The lower panels show the ratio of the observed data to the total SM background prediction, with the bands representing the total uncertainty in the background prediction.

Jet multiplicity distributions in control regions CR$^{1\ell 4b}_{t\bar{t},C}$, after normalising the $t\bar{t}$ background process via the simultaneous fit described in Section 5. The $t\bar{t}$ background normalisation is constrained to the data observation for jet multiplicity values above the requirements shown in Table 6. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. The "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production. The last bin in each figure contains the overflow. The lower panels show the ratio of the observed data to the total SM background prediction, with the bands representing the total uncertainty in the background prediction.

Distribution of $E^{T}_\text{miss}$ for events passing all the signal candidate selection requirements, except that on $E^{T}_\text{miss}$, for SR$^{3\ell 1b}_A$ after the background fit described in Section 5. The contributions from all SM backgrounds are shown; the bands represent the total uncertainty. The last bin in each figure contains the overflow.

Distribution of $E^{T}_\text{miss}$ for events passing all the signal candidate selection requirements, except that on $E^{T}_\text{miss}$, for SR$^{3\ell 1b}_B$ after the background fit described in Section 5. The contributions from all SM backgrounds are shown; the bands represent the total uncertainty. The last bin in each figure contains the overflow.

Distribution of $E^{T}_\text{miss}$ for events passing all the signal candidate selection requirements, except that on $E^{T}_\text{miss}$, for SR$^{3\ell 1b}_C$ after the background fit described in Section 5. The contributions from all SM backgrounds are shown; the bands represent the total uncertainty. The last bin in each figure contains the overflow.

Distribution of $E^{T}_\text{miss}$ for events passing all the signal candidate selection requirements, except that on $E^{T}_\text{miss}$, for SR$^{1\ell 4b}_A$ after the background fit described in Section 5. The contributions from all SM backgrounds are shown; the bands represent the total uncertainty. The last bin in each figure contains the overflow.

Distribution of $E^{T}_\text{miss}$ for events passing all the signal candidate selection requirements, except that on $E^{T}_\text{miss}$, for SR$^{1\ell 4b}_B$ after the background fit described in Section 5. The contributions from all SM backgrounds are shown; the bands represent the total uncertainty. The last bin in each figure contains the overflow.

Distribution of $E^{T}_\text{miss}$ for events passing all the signal candidate selection requirements, except that on $E^{T}_\text{miss}$, for SR$^{1\ell 4b}_C$ after the background fit described in Section 5. The contributions from all SM backgrounds are shown; the bands represent the total uncertainty. The last bin in each figure contains the overflow.

Expected exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the mass of the $\tilde{t}_1$ for a fixed $(\tilde{\chi}^0_1) = 0$ GeV, assuming $\text{BR}(\tilde{\chi}^0_2 \to Z\tilde{\chi}^0_1) = 0.5$ and $\text{BR}(\tilde{\chi}^0_2 \to h\tilde{\chi}^0_1) = 0.5$.

Observed exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the mass of the $\tilde{t}_1$ for a fixed $(\tilde{\chi}^0_1) = 0$ GeV, assuming $\text{BR}(\tilde{\chi}^0_2 \to Z\tilde{\chi}^0_1) = 0.5$ and $\text{BR}(\tilde{\chi}^0_2 \to h\tilde{\chi}^0_1) = 0.5$.

Observed exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the masses of the $\tilde{t}_2$ and $\tilde{\chi}^0_1$, for a fixed $m(\tilde{t}_1)-m(\tilde{\chi}^0_1) = 180$ GeV and assuming a $\text{BR}(\tilde{t}_2 \to Z\tilde{t}_1) = 1$.

Expected exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the masses of the $\tilde{t}_2$ and $\tilde{\chi}^0_1$, for a fixed $m(\tilde{t}_1)-m(\tilde{\chi}^0_1) = 180$ GeV and assuming a $\text{BR}(\tilde{t}_2 \to Z\tilde{t}_1) = 1$.

Observed exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the masses of the $\tilde{t}_2$ and $\tilde{\chi}^0_1$, for a fixed $m(\tilde{t}_1)-m(\tilde{\chi}^0_1) = 180$ GeV and assuming a $\text{BR}(\tilde{t}_2 \to h\tilde{t}_1) = 1$.

Expected exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the masses of the $\tilde{t}_2$ and $\tilde{\chi}^0_1$, for a fixed $m(\tilde{t}_1)-m(\tilde{\chi}^0_1) = 180$ GeV and assuming a $\text{BR}(\tilde{t}_2 \to h\tilde{t}_1) = 1$.

Observed exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the $\tilde{t}_2$ branching ratio for $\tilde{t}_2 \to \tilde{t}_1 Z$, $\tilde{t}_2 \to \tilde{t}_1 h$ and $\tilde{t}_1 \to t\tilde{\chi}^0_1$ for the $3\ell 1b$ selection for the model $m(\tilde{t}_2)=600$ GeV $m(\tilde{\chi}^0_1)=250$ GeV.

Expected exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the $\tilde{t}_2$ branching ratio for $\tilde{t}_2 \to \tilde{t}_1 Z$, $\tilde{t}_2 \to \tilde{t}_1 h$ and $\tilde{t}_1 \to t\tilde{\chi}^0_1$ for the $3\ell 1b$ selection for the model $m(\tilde{t}_2)=600$ GeV $m(\tilde{\chi}^0_1)=250$ GeV.

Expected exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the $\tilde{t}_2$ branching ratio for $\tilde{t}_2 \to \tilde{t}_1 Z$, $\tilde{t}_2 \to \tilde{t}_1 h$ and $\tilde{t}_1 \to t\tilde{\chi}^0_1$ for the $1\ell 4b$ selection for the model $m(\tilde{t}_2)=600$ GeV $m(\tilde{\chi}^0_1)=250$ GeV.

Observed exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the $\tilde{t}_2$ branching ratio for $\tilde{t}_2 \to \tilde{t}_1 Z$, $\tilde{t}_2 \to \tilde{t}_1 h$ and $\tilde{t}_1 \to t\tilde{\chi}^0_1$. for the $3\ell 1b$ selection for the model $m(\tilde{t}_2)=650$ GeV $m(\tilde{\chi}^0_1)=200$ GeV.

Expected exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the $\tilde{t}_2$ branching ratio for $\tilde{t}_2 \to \tilde{t}_1 Z$, $\tilde{t}_2 \to \tilde{t}_1 h$ and $\tilde{t}_1 \to t\tilde{\chi}^0_1$ for the $3\ell 1b$ selection for the model $m(\tilde{t}_2)=650$ GeV $m(\tilde{\chi}^0_1)=200$ GeV.

Observed exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the $\tilde{t}_2$ branching ratio for $\tilde{t}_2 \to \tilde{t}_1 Z$, $\tilde{t}_2 \to \tilde{t}_1 h$ and $\tilde{t}_1 \to t\tilde{\chi}^0_1$ for the $1\ell 4b$ selection for the model $m(\tilde{t}_2)=650$ GeV $m(\tilde{\chi}^0_1)=200$ GeV.

Expected exclusion limits at 95% CL from the analysis of $36.1 \; \text{fb}^{-1}$ of 13 TeV $pp$ collision data as a function of the $\tilde{t}_2$ branching ratio for $\tilde{t}_2 \to \tilde{t}_1 Z$, $\tilde{t}_2 \to \tilde{t}_1 h$ and $\tilde{t}_1 \to t\tilde{\chi}^0_1$ for the $1\ell 4b$ selection for the model $m(\tilde{t}_2)=650$ GeV $m(\tilde{\chi}^0_1)=200$ GeV.

Background fit results for the control and validation regions in the 1$\ell$4$b$ selection. The nominal predictions from MC simulation are given for comparison for the $t\bar{t}$ background, which is normalised to data. The "Others" category contains the contributions from $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $tZ$, and $tWZ$ production. Combined statistical and systematic uncertainties are given. The individual uncertainties can be correlated and do not necessarily add in quadrature to the total systematic uncertainty.

Summary of the main systematic uncertainties and their impact (in %) on the total SM background prediction in each of the signal regions studied. The total systematic uncertainty can be different from the sum in quadrature of individual sources due to the correlations between them resulting from the fit to the data. The quoted theoretical uncertainties include modelling and cross-section uncertainties.

Observed and expected numbers of events the three 3$\ell$1$b$ Signal regions. The nominal predictions from MC simulation are given for comparison for those backgrounds, $t\bar{t} Z$, multi-boson that are normalised to data in dedicated control regions. For SR$^{3\ell 1b}_A$, SR$^{3\ell 1b}_B$ and SR$^{3\ell 1b}_C$, the "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production. Combined statistical and systematic uncertainties are given. Signal model-independent 95% CL upper limits on the visible BSM cross-section ($\sigma_{\mathrm{vis}}$), the visible number of signal events ($S^{95}_{\rm obs}$), the number of signal events ($S^{95}_{\rm exp}$) given the expected number of background events (and $\pm1\sigma$ variations of the expected background), and the discovery $p$-value ($p(s = 0)$), all calculated with pseudo-experiments, are also shown for each signal region.

Observed and expected numbers of events in the three 1$\ell$4$b$ signal regions. The nominal predictions from MC simulation are given for comparison for those backgrounds, $t\bar{t}$, are normalised to data in dedicated control regions. For SR$^{1\ell 4b}_A$, SR$^{1\ell 4b}_B$ and SR$^{1\ell 4b}_C$, the "Others" category contains the contributions from $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $tZ$, and $tWZ$ production. Combined statistical and systematic uncertainties are given. Signal model-independent 95% CL upper limits on the visible BSM cross-section ($\sigma_{\mathrm{vis}}$), the visible number of signal events ($S^{95}_{\rm obs}$), the number of signal events ($S^{95}_{\rm exp}$) given the expected number of background events (and $\pm1\sigma$ variations of the expected background), and the discovery $p$-value ($p(s = 0)$), all calculated with pseudo-experiments, are also shown for each signal region.

Illustration of the best expected signal region per signal grid point for the $\tilde{t}_2 \rightarrow h\tilde{t}_1$ models with $\tilde{t}_1\to t\tilde{\chi}^0_1$. This mapping is used for the final combined exclusion limits 1 = A, 2 = B, 3 = C.

Illustration of the best expected signal region per signal grid point for the $\tilde{t}_2 \rightarrow Z\tilde{t}_1$ models with $\tilde{t}_1\to t\tilde{\chi}^0_1$. This mapping is used for the final combined exclusion limits 1 = A, 2 = B, 3 = C.

Jet multiplicity distributions in VR$^{1\ell 4b}_C$ for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. The "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production.

Jet multiplicity distributions in VR$^{1\ell 4b}_B$ for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. The "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production.

Jet multiplicity distributions in VR$^{1\ell 4b}_A$ for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. The "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production.

E$^{T}_\text{miss}$ distributions in VR$^{1\ell 4b}_C$ for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. The "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production.

E$^{T}_\text{miss}$ distributions in VR$^{1\ell 4b}_B$ for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. The "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production.

$E^{T}_\text{miss}$ distributions in VR$^{1\ell 4b}_A$ for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. The "Others" category contains the contributions from $t\bar{t} h$, $t\bar{t} WW$, $t\bar{t} t$, $t\bar{t} t\bar{t}$, $Wh$, and $Zh$ production.

Jet multiplicity for events with at least 3 jets, one $b$-tagged jets for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. In order to enhance the contribution from fake or non-prompt leptons from $t\bar{t}$ events, the events are required to have at least one different flavour lepton pair and no same flavour pair with opposite charge.

$E^{T}_\text{miss}$ for events with at least 3 jets, one $b$-tagged jets for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. In order to enhance the contribution from fake or non-prompt leptons from $t\bar{t}$ events, the events are required to have at least one different flavour lepton pair and no same flavour pair with opposite charge.

$p_{\rm T}^{\ell\ell}$ for events with at least 3 jets, one $b$-tagged jets for an integrated luminosity of 36.1 fb$^{-1}$. The contributions from all SM backgrounds are shown as a histogram stack; the bands represent the total uncertainty. In order to enhance the contribution from fake or non-prompt leptons from $t\bar{t}$ events, the events are required to have at least one different flavour lepton pair and no same flavour pair with opposite charge.

Distribution of $m_{bb}$ for events passing all the signal selection requirements, except that on $m_{bb}$, for SR$^{1\ell 4b}_A$ after the background fit described in Section 5. The contributions from all SM backgrounds are shown; the bands represent the total uncertainty. The last bin in each figure contains the overflow.

Upper limits on cross-sections (in fb) at 95% CL for $\tilde{t}_1$ pair production with $\tilde{t}_1 \to t \tilde{\chi}^0_2$ and $\tilde{\chi}^0_2 \to \tilde{\chi}^0_1 h$ with 50% BR and $\tilde{\chi}^0_2 \to \tilde{\chi}^0_1 Z$ with 50% BR

Upper limits on cross-sections (in fb) at 95% CL for $\tilde{t}_2$ pair production with $\tilde{t}_2 \to \tilde{t}_1 h$ with $\tilde{t}_1 \to t\tilde{\chi}^0_1$

Upper limits on cross-sections (in fb) at 95% CL for $\tilde{t}_2$ pair production with $\tilde{t}_2 \to \tilde{t}_1 Z$ with $\tilde{t}_1 \to t\tilde{\chi}^0_1$

SR$^{3\ell 1b}_A$ acceptance for each signal model.

SR$^{3\ell 1b}_B$ acceptance for each signal model.

SR$^{3\ell 1b}_C$ acceptance for each signal model.

SR$^{1\ell 4b}_A$ acceptance for each signal model

SR$^{1\ell 4b}_B$ acceptance for each signal model

SR$^{1\ell 4b}_C$ acceptance for each signal model

SR$^{3\ell 1b}_A$ efficiency for each signal model

SR$^{3\ell 1b}_B$ efficiency for each signal model

SR$^{3\ell 1b}_C$ efficiency for each signal model

SR$^{1\ell 4b}_A$ efficiency for each signal model

SR$^{1\ell 4b}_B$ efficiency for each signal model

SR$^{1\ell 4b}_C$ efficiency for each signal model

Number of signal events selected at different stages for some scenarios in the $\tilde{t}_2 \rightarrow h\tilde{t}_1$ with $\tilde{t}_1\to t\tilde{\chi}^0_1$ model.

Number of signal events selected at different stages for some scenarios in the $\tilde{t}_2 \rightarrow Z\tilde{t}_1$ with $\tilde{t}_1\to t\tilde{\chi}^0_1$ model.

Observed and expected confidence intervals at 95\% CL on the different anomalous quartic gauge couplings for the combined $WV\gamma$ analysis and the form factor scale $\Lambda_{\text{FF}} = \infty$.

Observed and expected confidence intervals at 95\% CL on the different anomalous quartic gauge couplings for the combined $WV\gamma$ analysis and the form factor scale $\Lambda_{\text{FF}} = 1.0$ TeV.

Observed and expected confidence intervals at 95\% CL on the different anomalous quartic gauge couplings for the combined $WV\gamma$ analysis and the form factor scale $\Lambda_{\text{FF}} = 0.5$ TeV.

Numbers of observed events and predicted background events for the different final states in the nominal phase space. Also given are the correction factors $\epsilon$ to correct from reconstruction level to particle level and $C^{\text{p2p}}$ to correct from parton level to particle level.

Numbers of observed events and predicted background events for the different final states with the respective photon \et threshold optimised for maximal aQGC sensitivity. Also given are the correction factors $\epsilon$ to correct from reconstruction level to particle level and $C^{\text{p2p}}$ to correct from parton level to particle level.

Measured cross sections for isolated-photon plus jet production as a function of $m^{\gamma-\rm jet}$.

Measured cross sections for isolated-photon plus jet production as a function of $|\cos\theta^{\star}|$.

The expected and observed 95% confidence intervals for the anomalous coupling parameters defined in the EFT frame work. WV->lvJ channel.

The expected number of events passing the final event selection in the WW/WZ->lvjj channel, in each pT(jj) bin of the signal region (SR). The expected number of background and signal events are given, together with the number of events observed in data. The numbers correspond to Figures 7(a). The BSM numbers do not include the SM WV contribution, so the SM and BSM WV numbers should be added together. The numbers correspond to the raw event yields, not divided by the bin widths. The six bins in the SR have the following bin boundaries: (100, 200, 300, 400, 600, 800, +inf) GeV.

The expected number of events passing the final event selection in the WW/WZ->lvjj channel, in each pT(jj) bin of the sideband control region (CR). The expected number of background and signal events are given, together with the number of events observed in data. The numbers correspond to Figures 6 of auxiliary material. The BSM numbers do not include the SM WV contribution, so the SM and BSM WV numbers should be added together. The numbers correspond to the raw event yields, not divided by the bin widths. The four bins in the CR have the following bin boundaries: (100, 200, 300, 700, +inf) GeV.

The expected number of events passing the final event selection in the WW/WZ->lvJ channel, in each pT(J) bin of the signal region (SR). The expected number of background and signal events are given, together with the number of events observed in data. The numbers correspond to Figures 7(b). The BSM numbers do not include the SM WV contribution, so the SM and BSM WV numbers should be added together. The numbers correspond to the raw event yields, not divided by the bin widths. The six bins in the SR have the following bin boundaries: (100, 200, 300, 400, 500, 600, 700, +inf) GeV. No control region is used for the WW/WZ->lvJ channel.

Acceptance times efficiency for the tight channel of the Razor analysis for the direct squark-squark model.

Acceptance for the 1tau channel of the Taus+jets+MET analysis for the gluino simplified model.

Efficiency for the 1tau channel of the Taus+jets+MET analysis for the gluino simplified model.

Acceptance for the 2tau channel of the Taus+jets+MET analysis for the gluino simplified model.

Efficiency for the 2tau channel of the Taus+jets+MET analysis for the gluino simplified model.

Acceptance for the 1tau channel of the Taus+jets+MET analysis for the squark simplified model.

Efficiency for the 1tau channel of the Taus+jets+MET analysis for the squark simplified model.

Acceptance for the 2tau channel of the Taus+jets+MET analysis for the squark simplified model.

Efficiency for the 2tau channel of the Taus+jets+MET analysis for the squark simplified model.

Observed limit on the cross-section times branching ratio in fb at 95% CL for the direct squark-squark model.

Observed limit on the cross-section times branching ratio in fb at 95% CL for the gluino simplified model, obtained by the Taus+jets+MET analysis.

Observed limit on the cross-section times branching ratio in fb at 95% CL for the squark simplified model, obtained by the Taus+jets+MET analysis.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV and $m_{\tilde g}=$1.6 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$1.6 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV with $m_{\tilde g}=$2.2 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$2.2 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV and $m_{\tilde g}=$3.0 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$3.0 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed and expected limits on the cross-section times branching ratio in fb at 95% CL for the gluino-mediated stop model with off-shell stops, for mass points with four- or five-body gluino decays, obtained by the SS/3L and 0/1L3B analyses.

: Cut flow for signal regions 0L_4jt+ and 0L_5jt of baseline signal points normalized to 20.3 fb$^\mathrm{-1}$. The point used for the 0L_4jt+ cutflow is mqL = 1150 GeV, M1 = 60 GeV, M2 = 1000 GeV, m(gluino) = 2200 GeV. The point used for the 0L_5jt cutflow is mqL = 950 GeV, M1 = 100 GeV, M2 = 525 GeV, m(gluino) = 2200 GeV.

Cut flow for the 1L(H)_7-jet SR (electron channel) for the main background from the $t\bar{t}$ production. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for the 1L(H)_7-jet SR (muon channel) for the main background from the $t\bar{t}$ production. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 1L(H)_7-jet SR (electron channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1145 GeV, $m_{{\tilde \chi}_{1}^{\pm}}$ = 785 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 425 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 1L(H)_7-jet SR (muon channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1145 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 785 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 425 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 1L(H)_7-jet SR (electron channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1025 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 545 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 65 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 1L(H)_7-jet SR (muon channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1025 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 545 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 65 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 0LRaz_SR$_{\rm loose}$ and 0LRaz_SR$_{\rm tight}$ signal regions of baseline signal point ($m(\tilde{q}, \tilde{\chi}_1^0)=(850, 100)$ GeV) normalized to 20.3 fb$^{-1}$. 5000 events were generated for ths point.