The reconstructed m$_{tb}$ distributions in data and expected background in validation region for the data taking period of 2017. Yield in each bin is divided by the corresponding bin width.

The reconstructed m$_{tb}$ distributions in data and expected background in signal region for the data taking period of 2018. Yield in each bin is divided by the corresponding bin width.

The reconstructed m$_{tb}$ distributions in data and expected background in validation region for the data taking period of 2018. Yield in each bin is divided by the corresponding bin width.

Upper limits at 95% CL on the cross section for the production of right-handed W' boson using data and backgrounds in three years combined. Theory prediction is also shown.

Upper limits at 95% CL on the cross section for the production of left-handed W' boson using data and backgrounds in three years combined. Theory prediction is also shown.

Excitation function at pion c.m. angle THETA=49 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=57 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=63 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=69 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=75 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at THETA=81 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=87 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=93 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=99 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=104 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=110 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=117 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=123 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=130 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=138 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=148 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Excitation function at pion c.m. angle THETA=162 deg as function of incident photon energy E. The uncertainties are statistical and systematic, combined in quadrature.

Total cross section as a function of incident photon energy E.

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.

Expected allowed ranges for 8 dimensional aQGC, no cutoff).

Inclusive Cross Section.

Data (bold boxes) and background estimates (colour fill) for m_beta vs. m_betagamma for the gluino R-hadron search (1000 GeV). The blue thin-line boxes illustrate the expected signal (on top of background) for the given R-hadron mass hypothesis. The black dashed vertical/horizontal lines at 500 GeV show the mass selection (signal region in the top-right). Two events pass this selection.

Expected (dashed black line) and observed (solid red line) 95% CL upper limits on the cross section as a function of mass for the production of long-lived gluino R-hadrons. The theory prediction along with its +-1sigma uncertainty is show as a black line and a blue band, respectively. The observed 8 TeV Run-1 limit and theory prediction [arXiv:1411.6795] are shown in dash-dotted and dotted lines, respectively.

Expected (dashed black line) and observed (solid red line) 95% CL upper limits on the cross section as a function of mass for the production of bottom-squark R-hadrons. The theory prediction along with its +-1sigma uncertainty is show as a black line and a blue band, respectively. The observed 8 TeV Run-1 limit and theory prediction [arXiv:1411.6795] are shown in dash-dotted and dotted lines, respectively.

Expected (dashed black line) and observed (solid red line) 95% CL upper limits on the cross section as a function of mass for the production of top-squark R-hadrons. The theory prediction along with its +-1sigma uncertainty is show as a black line and a blue band, respectively. The observed 8 TeV Run-1 limit and theory prediction [arXiv:1411.6795] are shown in dash-dotted and dotted lines, respectively.

Final selection requirements as a function of the simulated R-hadron mass.

Summary of all studied systematic uncertainties. Ranges indicate a dependency on the R-hadron mass hypothesis (from low to high masses).

Expected signal yield (Nsig) and efficiency (eff.), estimated background (Nbkg) and observed number of events in data (Nobs) for the full mass range after the final selection using 3.2/fb of data. The stated uncertainties include both the statistical and systematic contribution.

Distribution of the truth-level beta for gluino R-hadrons in exemplary signal MC samples and muons in a Zmumu MC sample. All distributions have been normalised to one. The last bin contains the overflow of the histograms. The distributions illustrate the good discriminating power of the variables.

Distribution of the truth-level betagamma for gluino R-hadrons in exemplary signal MC samples and muons in a Zmumu MC sample. All distributions have been normalised to one. The last bin contains the overflow of the histograms. The distributions illustrate the good discriminating power of the variables.

Expected (dashed black line) and observed (solid red line) 95% confidence level upper limits on the cross section as a function of mass for the production of long-lived gluino R-hadrons. The theory prediction along with its +-1sigma uncertainty is show as a black line and a blue band, respectively. For meta-stable gluinos with a lifetime of 50 ns. (mass exclusion: about 1660 GeV expected, 1520 GeV observed).

Expected (dashed black line) and observed (solid red line) 95% confidence level upper limits on the cross section as a function of mass for the production of long-lived gluino R-hadrons. The theory prediction along with its +-1sigma uncertainty is show as a black line and a blue band, respectively. For meta-stable gluinos with a lifetime of 30 ns. (mass exclusion: about 1660 GeV expected, 1520 GeV observed).

Expected (dashed black line) and observed (solid red line) 95% confidence level upper limits on the cross section as a function of mass for the production of long-lived gluino R-hadrons. The theory prediction along with its +-1sigma uncertainty is show as a black line and a blue band, respectively. For meta-stable gluinos with a lifetime of 10 ns. (mass exclusion: about 1660 GeV expected, 1520 GeV observed).

Object-quality selection cut-flow with observed data and exemplary expected events (scaled to 3.2/fb for MC) in the gluino R-hadron search.

Object-quality selection cut-flow with observed data and exemplary expected events (scaled to 3.2/fb for MC) in the squark R-hadron search.

Expected signal yield (Nsig) and efficiency (eff.), estimated background (Nbkg) and observed number of events in data (Nobs) for the full mass range in the meta-stable gluino R-hadron search using 3.2/fb of data. The stated uncertainties include both the statistical and systematic contribution.

The distribution of the missing transverse momentum is shown in soft-lepton 2-jet W+jets control regions after normalising the ttbar and W+jets background processes in the simultaneous fit.

Expected background yields as obtained in the background-only fits in all hard-lepton and soft-lepton validation together with observed data are given. Uncertainties in the fitted background estimates combine statistical (in the simulated event yields) and systematic uncertainties.

Expected background yields as obtained in the background-only fits in all hard-lepton and soft-lepton signal together with observed data are given. Uncertainties in the fitted background estimates combine statistical (in the simulated event yields) and systematic uncertainties.

Distributions of mt for the hard-lepton 4-jet low-x signal region. The requirement on the variable plotted is removed from the definitions of the signal regions, where the arrow indicates the position of the cut in the signal region. The lower panels of the plots show the ratio of the observed data to the total background prediction as derived in the background-only fit. The uncertainty bands plotted include all statistical and systematic uncertainties as discussed in Section 7. The component `Others' is the sum of Z+jets and ttbar+V. The last bin includes the overflow.

Distributions of met/meff for the 4-jet high-x signal region. The requirement on the variable plotted is removed from the definitions of the signal regions, where the arrow indicates the position of the cut in the signal region. The lower panels of the plots show the ratio of the observed data to the total background prediction as derived in the background-only fit. The uncertainty bands plotted include all statistical and systematic uncertainties as discussed in Section 7. The component `Others' is the sum of Z+jets and ttbar+V. The last bin includes the overflow.

Distributions of mt for the hard-lepton 5-jet signal region. The requirement on the variable plotted is removed from the definitions of the signal regions, where the arrow indicates the position of the cut in the signal region. The lower panels of the plots show the ratio of the observed data to the total background prediction as derived in the background-only fit. The uncertainty bands plotted include all statistical and systematic uncertainties as discussed in Section 7. The component `Others' is the sum of Z+jets and ttbar+V. The last bin includes the overflow.

Distributions of mt for the hard-lepton 6-jet signal region. The requirement on the variable plotted is removed from the definitions of the signal regions, where the arrow indicates the position of the cut in the signal region. The lower panels of the plots show the ratio of the observed data to the total background prediction as derived in the background-only fit. The uncertainty bands plotted include all statistical and systematic uncertainties as discussed in Section 7. The component `Others' is the sum of Z+jets and ttbar+V. The last bin includes the overflow.

Distributions of met for the soft-lepton 2-jet signal region. The requirement on the variable plotted is removed from the definitions of the signal regions, where the arrow indicates the position of the cut in the signal region. The lower panels of the plots show the ratio of the observed data to the total background prediction as derived in the background-only fit. The uncertainty bands plotted include all statistical and systematic uncertainties as discussed in Section 7. The component `Others' is the sum of Z+jets and ttbar+V. The last bin includes the overflow.

Distributions of met for the soft-lepton 5-jet signal region. The requirement on the variable plotted is removed from the definitions of the signal regions, where the arrow indicates the position of the cut in the signal region. The lower panels of the plots show the ratio of the observed data to the total background prediction as derived in the background-only fit. The uncertainty bands plotted include all statistical and systematic uncertainties as discussed in Section 7. The component `Others' is the sum of Z+jets and ttbar+V. The last bin includes the overflow.

The observed combined 95% CL exclusion limits in the the gluino simplified models using for each model point the signal region with the best expected sensitivity. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The expected combined 95% CL exclusion limits in the the gluino simplified models using for each model point the signal region with the best expected sensitivity. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The yellow band ($+ 1 \sigma$) of the combined 95% CL exclusion limits in the the gluino simplified models using for each model point the signal region with the best expected sensitivity. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models. The yellow band represents the $\pm 1 \sigma$ variation of the median expected limit due to the experimental and theoretical uncertainties.

The yellow band ($- 1 \sigma$) of the combined 95% CL exclusion limits in the the gluino simplified models using for each model point the signal region with the best expected sensitivity. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models. The yellow band represents the $\pm 1 \sigma$ variation of the median expected limit due to the experimental and theoretical uncertainties.

The observed combined 95% CL exclusion limits in the the gluino simplified models using for each model point the signal region with the best expected sensitivity. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The expected combined 95% CL exclusion limits in the the gluino simplified models using for each model point the signal region with the best expected sensitivity. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The yellow band ($+ 1 \sigma$) of the combined 95% CL exclusion limits in the the gluino simplified models using for each model point the signal region with the best expected sensitivity. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$. The yellow band represents the $\pm 1 \sigma$ variation of the median expected limit due to the experimental and theoretical uncertainties.

The yellow band ($- 1 \sigma$) of the combined 95% CL exclusion limits in the the gluino simplified models using for each model point the signal region with the best expected sensitivity. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$. The yellow band represents the $\pm 1 \sigma$ variation of the median expected limit due to the experimental and theoretical uncertainties.

The observed limits for the soft-lepton 2-jet signal region. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The expected limits for the soft-lepton 2-jet signal region. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The observed limits for the hard-lepton 4-jet low-x signal region. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The expected limits for the hard-lepton 4-jet low-x signal region. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The observed limits for the hard-lepton 5-jet signal region. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The expected limits for the hard-lepton 5-jet signal region. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The observed limits for the hard-lepton 6-jet signal region. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The expected limits for the hard-lepton 6-jet signal region. The limits are presented in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ models.

The observed limits for the soft-lepton 5-jet signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The expected limits for the soft-lepton 5-jet signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The observed limits for the hard-lepton 4-jet low-x signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The expected limits for the hard-lepton 4-jet low-x signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The observed limits for the hard-lepton 4-jet high-x signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The expected limits for the hard-lepton 4-jet high-x signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The observed limits for the hard-lepton 5-jet signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The expected limits for the hard-lepton 5-jet signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The observed limits for the hard-lepton 6-jet signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

The expected limits for the hard-lepton 6-jet signal region. The limits are presented in the (gluino, x) plane for the chargino = 60 GeV models where $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

Number of generated events in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$.

Number of generated events in the (gluino, x) plane for the chargino = 60 GeV models.

Production cross-section in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$.

Production cross-section in the (gluino, x) plane for the chargino = 60 GeV models.

Acceptance times efficiency obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 4-jet low-x).

Acceptance times efficiency in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 4-jet high-x).

Acceptance times efficiency in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 5-jet).

Acceptance times efficiency in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 6-jet).

Acceptance times efficiency in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (soft-lepton 2-jet).

Acceptance times efficiency obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 4-jet low-x).

Acceptance times efficiency in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 4-jet high-x).

Acceptance times efficiency in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 5-jet).

Acceptance times efficiency in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 6-jet).

Acceptance times efficiency in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (soft-lepton 5-jet).

The observed CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 4-jet low-x).

The observed CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 4-jet high-x).

The observed CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 5-jet).

The observed CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 6-jet).

The observed CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (soft-lepton 2-jet).

The expected CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 4-jet low-x).

The expected CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 4-jet high-x).

The expected CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 5-jet).

The expected CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (hard-lepton 6-jet).

The expected CLs values as obtained in the different signal regions in the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$ (soft-lepton 2-jet).

The observed CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 4-jet low-x).

The observed CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 4-jet high-x).

The observed CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 5-jet).

The observed CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 6-jet).

The observed CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (soft-lepton 5-jet).

The expected CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 4-jet low-x).

The expected CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 4-jet high-x).

The expected CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 5-jet).

The expected CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (hard-lepton 6-jet).

The expected CLs values as obtained in the different signal regions in the (gluino, x) plane for the chargino = 60 GeV models (soft-lepton 5-jet).

The signal region yielding in the best expected limit is indicated for every signal point used in the the gluino simplified models for the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$.

The signal region yielding in the best expected limit is indicated for every signal point used in the the gluino simplified models for the (gluino, x) mass plane where for the chargino = 60 GeV and $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

Model-dependent 95% CL upper limits on the visible cross-section in addition to the observed and expected exclusion limits for the (gluino, chargino) mass plane for the scenario where the mass of the chargino is fixed to $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1)) = 1/2$.

Model-dependent 95% CL upper limits on the visible cross-section in addition to the observed and expected exclusion limits for the (gluino, x) mass plane where for the chargino = 60 GeV and $x=(m(\tilde\chi^\pm_1)-m(\tilde\chi^0_1))/(m(\tilde g) - m(\tilde\chi^0_1))$.

Simulated background event samples: the corresponding generator, parton shower, cross-section normalisation, PDF set and underlying-event tune are shown.

Overview of the selection criteria for the soft-lepton signal regions. The symbol $p_{T}^{l}$ refers to signal leptons.

Overview of the selection criteria for the hard-lepton signal regions. The symbol $p_{T}^{l}$ refers to signal leptons.

Background fit results for the hard-lepton and soft-lepton signal regions, for an integrated luminosity of 3.2 fb-1. Uncertainties in the fitted background estimates combine statistical (in the simulated event yields) and systematic uncertainties. The uncertainties in this table are symmetrised for propagation purposes but truncated at zero to remain within the physical boundaries.

Breakdown of upper limits. The columns show from left to right: the name of the respective signal region; the 95% confidence level (CL) upper limits on the visible cross-section and on the number of signal events the 95% CL upper limit on the number of signal events, given the expected number (and $\pm 1 \sigma$ variations on the expectation) of background events; the two-sided CLb value, i.e. the confidence level observed for the background-only hypothesis and the one-sided discovery p-value (p(s = 0)). The discovery p-values are capped to 0.5 in the case of observing less events than the fitted background estimates.

Table shows the data, fitted background and expected signal event counts for a benchmark signal point in each bin of the mt distribution shown in figure 5 (top left). The fit results are shown for an integrated luminosity of 3.2 fb-1.

Table shows the data, fitted background and expected signal event counts for a benchmark signal point in each bin of the met/meff distribution shown in figure 5 (top right). The fit results are shown for an integrated luminosity of 3.2 fb-1.

Table shows the data, fitted background and expected signal event counts for a benchmark signal point in each bin of the mt distribution shown in figure 5 (middle left). The fit results are shown for an integrated luminosity of 3.2 fb-1.

Table shows the data, fitted background and expected signal event counts for a benchmark signal point in each bin of the mt distribution shown in figure 5 (middle right). The fit results are shown for an integrated luminosity of 3.2 fb-1.

Table shows the data, fitted background and expected signal event counts for a benchmark signal point in each bin of the met distribution shown in figure 5 (bottom left). The fit results are shown for an integrated luminosity of 3.2 fb-1.

Table shows the data, fitted background and expected signal event counts for a benchmark signal point in each bin of the met distribution shown in figure 5 (bottom right). The fit results are shown for an integrated luminosity of 3.2 fb-1.

Cutflow table for the hard-lepton signal regions with representative target signal models. The weighted numbers are normalized to 3.2 fb-1 and rounded to the statistical error.

Cutflow table for the hard-lepton signal regions with representative target signal models. The weighted numbers are normalized to 3.2 fb-1 and rounded to the statistical error.

Measured fiducial cross section in fb as a function of Yll.

Measured fiducial cross section in fb/GeV as a function of the leading jet pT, PT(JET1).

Measured normalised fiducial cross section as a function of Njet. Jet PT>25 GeV for |eta|<2.4 and PT>30 GeV for 2.4<|eta|<4.5.

Measured normalised fiducial cross section in 1/GeV as a function of pTH.

Measured normalised fiducial cross section as a function of Yll.

Measured normalised fiducial cross section in 1/GeV as a function of the leading jet pT, PT(JET1).

Jet veto efficiency as a function of PT(JET1) pT threshold.

Full correlation matrix for the measured differential cross section as a function of Njet, taking into account statistical and systematic uncertainties.

Full correlation matrix for the measured differential cross section as a function of pTH, taking into account statistical and systematic uncertainties.

Full correlation matrix for the measured differential cross section as a function of Yll, taking into account statistical and systematic uncertainties.

Full correlation matrix for the measured differential cross section as a function of the leading jet pT, taking into account statistical and systematic uncertainties.

Full correlation matrix for the measured normalised differential cross section as a function of Njet, taking into account statistical and systematic uncertainties.

Full correlation matrix for the measured normalised differential cross section as a function of pTH, taking into account statistical and systematic uncertainties.

Full correlation matrix for the measured normalised differential cross section as a function of Yll, taking into account statistical and systematic uncertainties.

Full correlation matrix for the measured normalised differential cross section as a function of the leading jet pT, taking into account statistical and systematic uncertainties.

Fiducial cross section of H+0-jet events in femtobarn for different values of PT(JET1) pT threshold with the uncertainties for each bin given in absolute values and in percent. The asterisk for the 25 GeV column header indicates that the results are for a mixed jet pT threshold, which is raised from 25 GeV to 30 GeV for jets with 2.5 < |eta| < 4.5.

Correction factors from inclusive parton level to fiducial particle level for bins of Njet derived with POWHEG NNLOPS+Pythia8. Uncertainties due to the non-perturbative correction are dominant for the correction factors.

Correction factors from inclusive parton level to fiducial particle level for bins of the leading jet pT derived with POWHEG NNLOPS+Pythia8. Uncertainties due to the non-perturbative correction are dominant for the correction factors.

Correction factors from inclusive parton level to fiducial particle level for the jet-veto efficiency with different jet pT thresholds derived with POWHEG NNLOPS+Pythia8. The asterisk on the 25 GeV bin label indicates that the results are for a mixed pT threshold, which is raised from 25 GeV to 30 GeV for jets with 2.5 < |eta| < 4.5, corresponding to the selection used to define the signal regions for the analysis.