The post-fit $m_{CT}$ distribution is shown in the validation region VR-offLM after all the selection requirements are applied other than the $m_{CT}$ cut. The stacked histograms show the expected SM backgrounds. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. The red line with arrow indicates the $m_{CT}$ cut used in SR selection. The first and the last bin include the underflow and overflow events (where present), respectively.

The post-fit $m_{CT}$ distribution is shown in the validation region VR-offMM after all the selection requirements are applied other than the $m_{CT}$ cut. The stacked histograms show the expected SM backgrounds. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. The red line with arrow indicates the $m_{CT}$ cut used in SR selection. The first and the last bin include the underflow and overflow events (where present), respectively.

The post-fit $m_{CT}$ distribution is shown in the validation region VR-offHM after all the selection requirements are applied other than the $m_{CT}$ cut. The stacked histograms show the expected SM backgrounds. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. The red line with arrow indicates the $m_{CT}$ cut used in SR selection. The first and the last bin include the underflow and overflow events (where present), respectively.

The post-fit $m_{CT}$ distribution for SR-HM. The stacked histograms show the expected SM backgrounds. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distribution of the SUSY reference points are also shown as dashed lines. The overflow events, where present, are included in the last bin.

The post-fit $m_{CT}$ distribution for SR-MM. The stacked histograms show the expected SM backgrounds. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distribution of the SUSY reference points are also shown as dashed lines. The overflow events, where present, are included in the last bin.

The post-fit $m_{CT}$ distribution for SR-LM. The stacked histograms show the expected SM backgrounds. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distribution of the SUSY reference points are also shown as dashed lines. The overflow events, where present, are included in the last bin.

The post-fit $m_{bb}$ distribution is shown in the signal region SR-HM after all the selection requirements are applied other than the $m_{bb}$ cut. The stacked histograms show the expected SM backgrounds. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distribution of the SUSY reference points are also shown as dashed lines. The red line with arrow indicates the $m_{bb}$ cut used in SR selection.The overflow events, where present, are included in the last bin.

The post-fit $m_{bb}$ distribution is shown in the signal region SR-MM after all the selection requirements are applied other than the $m_{bb}$ cut. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distribution of the SUSY reference points are also shown as dashed lines. The red line with arrow indicates the $m_{bb}$ cut used in SR selection. The overflow events, where present, are included in the last bin.

The post-fit $m_{bb}$ distribution is shown in the signal region SR-LM after all the selection requirements are applied other than the $m_{bb}$ cut. The hatched bands represent the sum in quadrature of systematic and statistical uncertainties of the total SM background. For illustration, the distribution of the SUSY reference points are also shown as dashed lines. The red line with arrow indicates the $m_{bb}$ cut used in SR selection. The overflow events, where present, are included in the last bin.

The observed exclusion for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The observed exclusion up limit for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production. The red dotted lines indicate the $\pm 1 \sigma$ on the observed exclusion limit due to the theoretical uncertainties in the signal cross-section.

The observed exclusion down limit for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production. The red dotted lines indicate the $\pm 1 \sigma$ on the observed exclusion limit due to the theoretical uncertainties in the signal cross-section.

The expected exclusion for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

Upper limits on the cross sections for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-LM for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-LM low $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-LM med. $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-LM high $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-MM for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-MM low $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-MM med. $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-MM high $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-HM for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production. 1lb\bar{b}$ production

Signal acceptance in SR-HM low $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-HM med. $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal acceptance in SR-HM high $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-LM for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-LM low $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-LM med. $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-LM high $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-MM for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-MM low $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-MM med. $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-MM high $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-HM for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-HM low $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-HM med. $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Signal efficiency in SR-HM high $m_{CT}$ for simplified models with $\tilde\chi^\pm_1 \tilde\chi^0_2 \rightarrow Wh\tilde\chi^0_1\tilde\chi^0_1, W \rightarrow l\nu, h \rightarrow b\bar{b}$ production.

Event selection cutflow for a representative signal sample for the SR-LM low $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the SR-LM med. $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the SR-LM high $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the SR-MM low $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the SR-MM med. $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the SR-MM high $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the SR-HM low $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the SR-HM med. $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the SR-HM high $m_{CT}$. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the discovery SR-LM. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the discovery SR-MM. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Event selection cutflow for a representative signal sample for the discovery SR-HM. The masses of next-lightest-neutralinos and LSPs are reported. While the first row of the table reports the total raw MC events produced, all subsequent rows show weighted events. Only statistical uncertainties are shown. Samples are produced with generator filters which selects $h\rightarrow b\bar{b}$ and $W\rightarrow\ell\nu$ decays.

Fig. 1 Left, data for jet radius R=0.2. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 1 Left, data for jet radius R=0.3. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 1 Left, data for jet radius R=0.3. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 1 Left, data for jet radius R=0.4. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 1 Left, data for jet radius R=0.4. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 1 Left, data for jet radius R=0.5. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 1 Left, data for jet radius R=0.5. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 1 Left, data for jet radius R=0.6. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 1 Left, data for jet radius R=0.6. Unfolded pp full jet cross-section at $\sqrt{s}$ = 5.02 TeV for R = 0.1 − 0.6. No leading track requirement is imposed.

Fig. 2, values for jet radius R=0.1. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.1. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.2. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.2. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.3. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.3. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.4. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.4. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.5. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.5. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.6. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 2, values for jet radius R=0.6. Non-perturbative correction factor applied to parton-level NLO+NLL predictions, obtained from PYTHIA 8 tune A14 as the ratio of the inclusive jet spectrum at hadron-level with MPI compared to parton-level without MPI.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.2. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.2. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.3. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.3. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.4. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.4. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.5. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.5. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.6. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Bottom, data for jet radius ratio R=0.1/R=0.6. Unfolded pp jet cross-section ratios for various R. With R = 0.1 in the numerator.

Fig. 3 Top, data for jet radius ratio R=0.2/R=0.3. Unfolded pp jet cross-section ratios for various R. With R = 0.2 in the numerator.

Fig. 3 Top, data for jet radius ratio R=0.2/R=0.3. Unfolded pp jet cross-section ratios for various R. With R = 0.2 in the numerator.

Fig. 3 Top, data for jet radius ratio R=0.2/R=0.4. Unfolded pp jet cross-section ratios for various R. With R = 0.2 in the numerator.

Fig. 3 Top, data for jet radius ratio R=0.2/R=0.4. Unfolded pp jet cross-section ratios for various R. With R = 0.2 in the numerator.

Fig. 3 Top, data for jet radius ratio R=0.2/R=0.5. Unfolded pp jet cross-section ratios for various R. With R = 0.2 in the numerator.

Fig. 3 Top, data for jet radius ratio R=0.2/R=0.5. Unfolded pp jet cross-section ratios for various R. With R = 0.2 in the numerator.

Fig. 3 Top, data for jet radius ratio R=0.2/R=0.6. Unfolded pp jet cross-section ratios for various R. With R = 0.2 in the numerator.

Fig. 3 Top, data for jet radius ratio R=0.2/R=0.6. Unfolded pp jet cross-section ratios for various R. With R = 0.2 in the numerator.

Fig. 4 Left, data for pp. Unfolded pp and Pb-Pb full jet spectra at $\sqrt{s}=5.02$ TeV for $R=0.2$, with 5 GeV leading track requirement. The pp data points correspond to $\frac{\mathrm{d}^{2}\sigma}{\mathrm{d}p_{\mathrm{T,jet}} \mathrm{d}\eta_{\mathrm{jet}}}$.

Fig. 4 Left, data for pp. Unfolded pp and Pb-Pb full jet spectra at $\sqrt{s}=5.02$ TeV for $R=0.2$, with 5 GeV leading track requirement. The pp data points correspond to $\frac{\mathrm{d}^{2}\sigma}{\mathrm{d}p_{\mathrm{T,jet}} \mathrm{d}\eta_{\mathrm{jet}}}$.

Fig. 4 Left, data for PbPb. Unfolded pp and Pb-Pb full jet spectra at $\sqrt{s}=5.02$ TeV for $R=0.2$, with 5 GeV leading track requirement. The pp data points correspond to $\frac{\mathrm{d}^{2}\sigma}{\mathrm{d}p_{\mathrm{T,jet}} \mathrm{d}\eta_{\mathrm{jet}}}$.

Fig. 4 Left, data for PbPb. Unfolded pp and Pb-Pb full jet spectra at $\sqrt{s}=5.02$ TeV for $R=0.2$, with 5 GeV leading track requirement. The pp data points correspond to $\frac{\mathrm{d}^{2}\sigma}{\mathrm{d}p_{\mathrm{T,jet}} \mathrm{d}\eta_{\mathrm{jet}}}$.

Fig. 4 Right, data for pp. Unfolded pp and Pb-Pb full jet spectra at $\sqrt{s}=5.02$ TeV for $R=0.4$, with 7 GeV leading track requirement.

Fig. 4 Right, data for pp. Unfolded pp and Pb-Pb full jet spectra at $\sqrt{s}=5.02$ TeV for $R=0.4$, with 7 GeV leading track requirement.

Fig. 4 Right, data for PbPb. Unfolded pp and Pb-Pb full jet spectra at $\sqrt{s}=5.02$ TeV for $R=0.4$, with 7 GeV leading track requirement.

Fig. 4 Right, data for PbPb. Unfolded pp and Pb-Pb full jet spectra at $\sqrt{s}=5.02$ TeV for $R=0.4$, with 7 GeV leading track requirement.

Fig. 5 Left, data for pp jet cross section with leading track bias ratio 5/0. Ratio of the pp jet cross-section with various leading charged particle requirements

Fig. 5 Left, data for pp jet cross section with leading track bias ratio 5/0. Ratio of the pp jet cross-section with various leading charged particle requirements

Fig. 5 Left, data for pp jet cross section with leading track bias ratio 7/0. Ratio of the pp jet cross-section with various leading charged particle requirements

Fig. 5 Left, data for pp jet cross section with leading track bias ratio 7/0. Ratio of the pp jet cross-section with various leading charged particle requirements

Fig. 5 Left, data for pp jet cross section with leading track bias ratio 7/5. Ratio of the pp jet cross-section with various leading charged particle requirements

Fig. 5 Left, data for pp jet cross section with leading track bias ratio 7/5. Ratio of the pp jet cross-section with various leading charged particle requirements

Fig. 5 Right. Ratio of the R = 0.2 Pb–Pb jet cross-section with a 7 GeV/c leading charged particle requirement compared to a 5 GeV/c leading charged particle requirement.

Fig. 5 Right. Ratio of the R = 0.2 Pb–Pb jet cross-section with a 7 GeV/c leading charged particle requirement compared to a 5 GeV/c leading charged particle requirement.

Fig. 6 Top Left. Jet $R_{\mathrm{AA}}$ at $\sqrt{s}=5.02$ TeV for $R=0.2$. Same leading track requirement of 5 GeV is imposed on the numerator as well as denominator.

Fig. 6 Top Left. Jet $R_{\mathrm{AA}}$ at $\sqrt{s}=5.02$ TeV for $R=0.2$. Same leading track requirement of 5 GeV is imposed on the numerator as well as denominator.

Fig. 6 Top Right. Jet $R_{\mathrm{AA}}$ at $\sqrt{s}=5.02$ TeV for $R=0.4$. Same leading track requirement of 7 GeV is imposed on the numerator as well as denominator.

Fig. 6 Top Right. Jet $R_{\mathrm{AA}}$ at $\sqrt{s}=5.02$ TeV for $R=0.4$. Same leading track requirement of 7 GeV is imposed on the numerator as well as denominator.

Fig. 6 Bottom Left. Jet $R_{\mathrm{AA}}$ at $\sqrt{s}=5.02$ TeV for $R=0.2$. PbPb with leading track requirement of 5 GeV. pp reference without a leading track requirement.

Fig. 6 Bottom Left. Jet $R_{\mathrm{AA}}$ at $\sqrt{s}=5.02$ TeV for $R=0.2$. PbPb with leading track requirement of 5 GeV. pp reference without a leading track requirement.

Fig. 6 Bottom Right. Jet $R_{\mathrm{AA}}$ at $\sqrt{s}=5.02$ TeV for $R=0.4$. PbPb with leading track requirement of 7 GeV. pp reference without a leading track requirement.

Fig. 6 Bottom Right. Jet $R_{\mathrm{AA}}$ at $\sqrt{s}=5.02$ TeV for $R=0.4$. PbPb with leading track requirement of 7 GeV. pp reference without a leading track requirement.

Expected 95% CL exclusion contours in signal region Rpv2L on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an top squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$, $\tilde g\to t\tilde{t}_1$ followed by $\tilde{t}_1\to b d$.

Observed 95% CL exclusion contours in the best combination of signal regions of Rpc2L1b and Rpc2L2b on the lightest bottom squark and lightest neutralino masses in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.

Expected 95% CL exclusion contours in the best combination of signal regions of Rpc2L1b and Rpc2L2b on the lightest bottom squark and lightest neutralino masses in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.

Number of signal events expected for 139 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L0b, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1600 GeV, $m(\tilde \chi_1^\pm)$ = 1200 GeV, $m(\tilde \chi_2^0)$ = 1000 GeV and $m(\tilde \chi_1^0)$ = 800 GeV. Only statistical uncertainties are shown.

Number of signal events expected for 139 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L1b, in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde{b}^{}_1)$ = 850 GeV, $m(\tilde \chi_1^\pm)$ = 500 GeV and $m(\tilde \chi_1^0)$ = 400 GeV. Only statistical uncertainties are shown.

Number of signal events expected for 139 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L2b, in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde{b}^{}_1)$ = 900 GeV, $m(\tilde \chi_1^\pm)$ = 150 GeV and $m(\tilde \chi_1^0)$ = 50 GeV. Only statistical uncertainties are shown.

Number of signal events expected for 139 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3LSS1b, in a SUSY scenario where pairs of top-antitop squarks are produced and decay into the lightest neutralino via a two-steps cascade, $\tilde t^{}_{1}\to t\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde{\chi}_1^\pm W^\mp$ and $\tilde{\chi}_1^\pm\to f\bar{f^{'}}\tilde{\chi}_1^0$. The lightest chargino and the lightest neutralino are assumed to be nearly mass-degenerate. The masses of the superpartners involved in the process are set to $m(\tilde{t}^{}_1)$ = 800 GeV, $m(\tilde \chi_2^0)$ = 625 GeV, $m(\tilde \chi_1^\pm)\approx m(\tilde \chi_1^0)$ = 525 GeV. Only statistical uncertainties are shown.

Number of signal events expected for 139 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L, in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an top squark which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$, $\tilde g\to t\tilde{t}_1$ followed by $\tilde{t}_1\to b d$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1600 GeV, $m(\tilde{t}^{}_{1})$ = 800 GeV. Only statistical uncertainties are shown.

Signal acceptance for Rpc2L0b signal region with sensitivity to $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$.

Signal acceptance for Rpc2L1b signal region with sensitivity to $pp\to \tilde{b}^{}_1\tilde{b}^{*}_1$ production cross-sections in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.

Signal acceptance for Rpc2L2b signal region with sensitivity to $pp\to \tilde{b}^{}_1\tilde{b}^{*}_1$ production cross-sections in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.

Signal acceptance for Rpv2L signal region with sensitivity to $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an top squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$, $\tilde g\to t\tilde{t}_1$ followed by $\tilde{t}_1\to b d$.

Signal acceptance for Rpc3LSS1b signal region with sensitivity to $pp\to \tilde{t}^{}_\mathrm{1}\tilde{t}^{*}_\mathrm{1}$ production cross-sections in a SUSY scenario where pairs of top-antitop squarks are produced and decay into the lightest neutralino via a two-steps cascade, $\tilde t^{}_{1}\to t\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde{\chi}_1^\pm W^\mp$ and $\tilde{\chi}_1^\pm\to f\bar{f^{'}}\tilde{\chi}_1^0$. The lightest chargino and the lightest neutralino are assumed to be nearly mass-degenerate.

Signal efficiency for Rpc2L0b signal region with sensitivity to $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$.

Signal efficiency for Rpc2L1b signal region with sensitivity to $pp\to \tilde{b}^{}_1\tilde{b}^{*}_1$ production cross-sections in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.

Signal efficiency for Rpc2L2b signal region with sensitivity to $pp\to \tilde{b}^{}_1\tilde{b}^{*}_1$ production cross-sections in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.

Signal efficiency for Rpv2L signal region with sensitivity to $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an top squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$, $\tilde g\to t\tilde{t}_1$ followed by $\tilde{t}_1\to b d$.

Signal efficiency for Rpc3LSS1b signal region with sensitivity to $pp\to \tilde{t}^{}_\mathrm{1}\tilde{t}^{*}_\mathrm{1}$ production cross-sections in a SUSY scenario where pairs of top-antitop squarks are produced and decay into the lightest neutralino via a two-steps cascade, $\tilde t^{}_{1}\to t\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde{\chi}_1^\pm W^\mp$ and $\tilde{\chi}_1^\pm\to f\bar{f^{'}}\tilde{\chi}_1^0$. The lightest chargino and the lightest neutralino are assumed to be nearly mass-degenerate.

Observed 95% CL upper limit on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$.

Observed 95% CL upper limit on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an top squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$, $\tilde g\to t\tilde{t}_1$ followed by $\tilde{t}_1\to b d$.

Observed 95% CL upper limit on $pp\to \tilde{b}^{}_1\tilde{b}^{*}_1$ production cross-sections in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.

Observed 95% CL upper limit on $pp\to \tilde{t}^{}_\mathrm{1}\tilde{t}^{*}_\mathrm{1}$ production cross-sections in a SUSY scenario where pairs of top-antitop squarks are produced and decay into the lightest neutralino via a two-steps cascade, $\tilde t^{}_{1}\to t\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde{\chi}_1^\pm W^\mp$ and $\tilde{\chi}_1^\pm\to f\bar{f^{'}}\tilde{\chi}_1^0$. The lightest chargino and the lightest neutralino are assumed to be nearly mass-degenerate.

Best observed 95% CL exclusion contours selected from Rpc2L1b and Rpc2L2b on the lightest bottom squark and lightest neutralino masses in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.

N-1 distributions for $E_{\mathrm{T}}^{\mathrm{miss}}$ of observed data and expected background towards Rpc2L0b from publication's Figure 5 . The last bin is inclusive.

N-1 distributions for $E_{\mathrm{T}}^{\mathrm{miss}} / m_{\mathrm{eff}}$ of observed data and expected background towards Rpc2L1b from publication's Figure 5 . The last bin is inclusive.

N-1 distributions for $E_{\mathrm{T}}^{\mathrm{miss}}$ of observed data and expected background towards Rpc2L2b from publication's Figure 5 . The last bin is inclusive.

N-1 distributions for $m_{\mathrm{eff}}$ of observed data and expected background towards Rpv2L from publication's Figure 5 . The last bin is inclusive.

Rapidity dependence (in 0-90% centrality class) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a rapidity-correlated systematic uncertainty.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 4. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

Rapidity dependence (in 0-90% centrality class) of the ratio of the inclusive J/$\psi$ $R_{\rm AA}$ at $\sqrt{s_{NN}}$= 5.02 and 2.76 TeV. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a rapidity-correlated systematic uncertainty.

Transverse momentum dependence (in 0-20% centrality class) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a $p_{\rm T}$-correlated systematic uncertainty.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 7. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

Transverse momentum dependence (in 0-20% centrality class) of the ratio of the inclusive J/$\psi$ $R_{\rm AA}$ at $\sqrt{s_{NN}}$= 5.02 and 2.76 TeV. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a $p_{\rm T}$-correlated systematic uncertainty.

Transverse momentum dependence (in 20-40% centrality class) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a $p_{\rm T}$-correlated systematic uncertainty.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 10. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

Transverse momentum dependence (in 20-40% centrality class) of the ratio of the inclusive J/$\psi$ $R_{\rm AA}$ at $\sqrt{s_{NN}}$= 5.02 and 2.76 TeV. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a $p_{\rm T}$-correlated systematic uncertainty.

Transverse momentum dependence (in 40-90% centrality class) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a $p_{\rm T}$-correlated systematic uncertainty.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 13. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

Transverse momentum dependence (in 40-90% centrality class) of the ratio of the inclusive J/$\psi$ $R_{\rm AA}$ at $\sqrt{s_{NN}}$= 5.02 and 2.76 TeV. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a $p_{\rm T}$-correlated systematic uncertainty.

Rapidity dependence (in 0-20% centrality class) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a rapidity-correlated systematic uncertainty.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 16. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

Rapidity dependence (in 20-40% centrality class) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a rapidity-correlated systematic uncertainty.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 18. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

Rapidity dependence (in 40-90% centrality class) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a rapidity-correlated systematic uncertainty.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 20. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$\langle N_{part} \rangle$-dependence (for 0.3 < $p_{\rm T}$ < 2 $GeV/c$) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 22. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$\langle N_{part} \rangle$-dependence (for 0.3 < $p_{\rm T}$ < 2 $GeV/c$) of the ratio of the inclusive J/$\psi$ $R_{\rm AA}$ at $\sqrt{s_{NN}}$= 5.02 and 2.76 TeV. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

$\langle N_{part} \rangle$-dependence (for 2 < $p_{\rm T}$ < 5 $GeV/c$) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 25. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$\langle N_{part} \rangle$-dependence (for 2 < $p_{\rm T}$ < 5 $GeV/c$) of the ratio of the inclusive J/$\psi$ $R_{\rm AA}$ at $\sqrt{s_{NN}}$= 5.02 and 2.76 TeV. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

$\langle N_{part} \rangle$-dependence (for 5 < $p_{\rm T}$ < 8 $GeV/c$) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 28. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$\langle N_{part} \rangle$-dependence (for 5 < $p_{\rm T}$ < 8 $GeV/c$) of the ratio of the inclusive J/$\psi$ $R_{\rm AA}$ at $\sqrt{s_{NN}}$= 5.02 and 2.76 TeV. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

$\langle N_{part} \rangle$-dependence (for 8 < $p_{\rm T}$ < 12 $GeV/c$) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 31. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$\langle N_{part} \rangle$-dependence (for 0.3 < $p_{\rm T}$ < 8 $GeV/c$) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, 60–70%, 70–80% and 80–90%. The values, already published in https://doi.org/10.1016/j.physletb.2016.12.064 (Figure.4), were updated with the improved $\langle T_{AA} \rangle$ calculations reported in https://cds.cern.ch/record/2636623.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 33. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$\langle N_{part} \rangle$-dependence (for 2.5 < $y$ < 3) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 35. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$\langle N_{part} \rangle$-dependence (for 3 < $y$ < 3.5) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 37. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$\langle N_{part} \rangle$-dependence (for 3.5 < $y$ < 4) of the inclusive J/$\psi$ $R_{\rm AA}$. The first uncertainty is statistical, the second is the uncorrelated systematic, while the third one is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

The minimum and maximum variations for the $R_{\rm AA}$ of prompt J/$\psi$ with respect to the $R_{\rm AA}$ values of inclusive J/$\psi$ reported in Table 39. The variations correspond to two extreme hypotheses on the unknown contribution of non-prompt J/$\psi$.

$p_{\rm T}$-differential yields of the inclusive J/$\psi$ in various centrality classes. The first uncertainty is statistical, while the second is the uncorrelated systematic.

$\langle N_{part} \rangle$-dependence of the inclusive J/$\psi$ average $p_{\rm T}$. The first uncertainty is statistical, while the second is the uncorrelated systematic. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

$\langle N_{part} \rangle$-dependence of the inclusive J/$\psi$ $r_{\rm AA}$. The first uncertainty is the quadratic sum of the statistical and uncorrelated systematic ones, while the second is a centrality-correlated systematic uncertainty. The $\langle N_{part} \rangle$ values correspond descendingly to the centrality classes 0–10%, 10–20%, 20–30%, 30–40%, 40–50%, 50–60%, and 60–90%.

Summary of results for charm and bottom muon v2 as a function of pT. Uncertainties are statistical and systematic, respectively.

Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 2\gamma_d + X$ with $m_H$ = 800 GeV in the hadron-hadron final state.

Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 2\gamma_d + X$ with $m_H$ = 800 GeV in the muon-hadron final state.

Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 4\gamma_d + X$ with $m_H$ = 800 GeV in the muon-muon final state.

Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 4\gamma_d + X$ with $m_H$ = 800 GeV in the muon-hadron final state.

Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 4\gamma_d + X$ with $m_H$ = 800 GeV in the hadron-hadron final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 125 GeV in the muon-muon final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 125 GeV in the muon-muon final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 800 GeV in the muon-muon final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 800 GeV in the muon-muon final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 125 GeV in the muon-hadron final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 125 GeV in the muon-hadron final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 800 GeV in the muon-hadron final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 800 GeV in the muon-hadron final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 125 GeV in the hadron-hadron final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 800 GeV in the hadron-hadron final state.

Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 800 GeV in the hadron-hadron final state.

The correction $R_{\mathrm{SP}}^{(1)}$ for finite resolution of the spectator plane angle $\Psi_{\mathrm{SP}}$ as a function of collision centrality for LHC11h data set.

The correction $R_{\mathrm{SP}}^{(1)}$ for finite resolution of the spectator plane angle $\Psi_{\mathrm{SP}}$ as a function of collision centrality for LHC15h data set.

The correction $R_{\mathrm{SP}}^{(1)}$ for finite resolution of the spectator plane angle $\Psi_{\mathrm{SP}}$ as a function of collision centrality for LHC15h data set.

The $\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\bar\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\bar\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\bar\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\bar\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\bar\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\bar\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\bar\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\bar\Lambda$ global polarization as function of centrality for Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The average $(\Lambda+\bar\Lambda) \times (2.76+5.02)$ global polarization in Pb-Pb collisions for centrality 15-50%.

The average $(\Lambda+\bar\Lambda) \times (2.76+5.02)$ global polarization in Pb-Pb collisions for centrality 15-50%.

The $\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 5-15% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 5-15% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 15-50% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 15-50% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\bar\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 5-15% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\bar\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 5-15% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\bar\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 15-50% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\bar\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 15-50% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$~TeV.

The $\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 5-15% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 5-15% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 15-50% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 15-50% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\bar\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 5-15% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\bar\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 5-15% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\bar\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 15-50% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

The $\bar\Lambda$ global polarization as function of transverse momentum ($p_{\mathrm{T}}$) for 15-50% centrality in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$~TeV.

$p_{\rm T}$-differential yields of $\Lambda$(1520) (sum of particle and anti-particle states) in p--Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ $\mathrm{=}$ 5.02 TeV in multiplicity interval 20--40\%. The uncertainty 'sys,$p_{\rm T}$-correlated' indicates the systematic uncertainty after removing the contributions of $p_{\rm T}$-uncorrelated uncertainty.

$p_{\rm T}$-differential yields of $\Lambda$(1520) (sum of particle and anti-particle states) in p--Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ $\mathrm{=}$ 5.02 TeV in multiplicity interval 40--60\%. The uncertainty 'sys,$p_{\rm T}$-correlated' indicates the systematic uncertainty after removing the contributions of $p_{\rm T}$-uncorrelated uncertainty.

$p_{\rm T}$-differential yields of $\Lambda$(1520) (sum of particle and anti-particle states) in p--Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ $\mathrm{=}$ 5.02 TeV in multiplicity interval 60--100\%. The uncertainty 'sys,$p_{\rm T}$-correlated' indicates the systematic uncertainty after removing the contributions of $p_{\rm T}$-uncorrelated uncertainty.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to charged $\pi$ ($\pi^{+} + \pi^{-}$) at midrapidity as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in inelastic pp collisions at $\sqrt{s}$ $\mathrm{=}$ 7 TeV.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to charged $\pi$ ($\pi^{+} + \pi^{-}$) as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in p--Pb collisions at $\sqrt{s}$ $\mathrm{=}$ 5.02 TeV. The uncertainty 'sys,uncorrelated' indicates the multiplicity uncorrelated systematic uncertainty.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to K$^{-}$ at midrapidity as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in inelastic pp collisions at $\sqrt{s}$ $\mathrm{=}$ 7 TeV.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to K$^{-}$ as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in p--Pb collisions at $\sqrt{s}$ $\mathrm{=}$ 5.02 TeV. The uncertainty 'sys,uncorrelated' indicates the multiplicity uncorrelated systematic uncertainty.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to its ground state particle $\Lambda$ ($\Lambda + \bar{\Lambda}$) at midrapidity as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in inelastic pp collisions at $\sqrt{s}$ $\mathrm{=}$ 7 TeV.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to its ground state particle $\Lambda$ ($\Lambda + \bar{\Lambda}$) as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in p--Pb collisions at $\sqrt{s}$ $\mathrm{=}$ 5.02 TeV. The uncertainty 'sys,uncorrelated' indicates the multiplicity uncorrelated systematic uncertainty.

Post-fit distributions of a background-only fit to the SR and the CRs of the NN output in the SR for the $tc\gamma$ left-handed coupling. In addition, the expected signal is overlaid for an effective coupling strength corresponding to the observed limit multiplied by a factor of ten.

Post-fit distributions of a background-only fit to the SR and the CRs of the NN output in the SR for the $tc\gamma$ right-handed coupling. In addition, the expected signal is overlaid for an effective coupling strength corresponding to the observed limit multiplied by a factor of ten.

Distributions of $m_{T2}$ in VR-top-low for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.

Distributions of $m_{T2}$ in VR-top-high for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.

Distributions of $E_T^{miss}$ in VR-WW-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.

Distributions of $E_T^{miss}$ in VR-WW-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.

Distributions of $E_T^{miss}$ significance in VR-VZ for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.

Distributions of $E_T^{miss}$ significance in VR-top-WW for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow.

Breakdown of the dominant systematic uncertainties on background estimates in the inclusive SRs requiring $m_{T2}$>100 GeV after performing the profile likelihood fit. Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background. "Top theoretical uncertainties" refers to $t\bar t$ theoretical uncertainties and the uncertainty associated to $Wt-t\bar t$ interference added quadratically.

Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.

Observed events and predicted post-fit background yields for the DF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.

Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.

Observed events and predicted post-fit background yields for the SF inclusive SRs. The model independent upper limits at 95% confidence level (CL) on the observed and expected number of beyond the SM events $S^{0.95}_{obs/exp}$ and the effective beyond the SM cross-section $\sigma^{0.95}_{obs}$ are also reported. The last row reports the $p_0$-value of the SM-only hypothesis. For SRs where the data yield is smaller than expected, the $p$-value is truncated at 0.50. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$+V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.

Distributions of $m_{T2}$ in SRSF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.

Distributions of $m_{T2}$ in SRSF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.

Distributions of $m_{T2}$ in SRDF-0J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.

Distributions of $m_{T2}$ in SRDF-1J for data and the estimated SM backgrounds. The normalisation factors extracted from the corresponding CRs are used to rescale the $t\bar t$, single top, WW, WZ and ZZ backgrounds. The fake and non-prompt leptons background (FNP) is calculated using the data-driven matrix method. The uncertainty band includes all sources of systematic and statistical errors and the last bin includes the overflow. Distributions for three benchmark signal points are overlaid for comparison.

Observed exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for chargino-pair production with $W$ boson mediated decays. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for chargino-pair production with slepton/sneutrino mediated mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for slepton-pair production. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for selectron-pair production, with left and right handed selectron production combined. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for left-handed selectron-pair production. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for right-handed selectron-pair production. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for smuon-pair production, with left and right handed smuon production combined. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for left-handed smuon-pair production. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for right-handed smuon-pair production. All limits are computed at 95% CL.

Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.

Observed events and predicted background yields from the fit in the binned DF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.

Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=0$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.

Observed events and predicted background yields from the fit in the binned SF SRs with $n_{non-b-tagged jets}=1$. For backgrounds whose normalisation is extracted from the fit in the CRs, the yield expected from the simulation before the fit is also reported. The background denoted as "Other" in the Table includes the non-dominant background sources for this analysis, i.e. Z+jets, $t\bar t$ +V, Higgs and Drell-Yan events. A "–" symbol indicates that the background contribution is negligible.

Observed exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for left-handed slepton-pair production. All limits are computed at 95% CL.

Observed exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.

Expected exclusion limits on SUSY simplified models for right-handed slepton-pair production. All limits are computed at 95% CL.

Upper limits on signal cross-section (fb) for chargino-pair production with W -boson-mediated decays.

Upper limits on signal cross-section (fb) for chargino-pair production with slepton/sneutrino-mediated decays. The mass relation $m(\tilde{l}_L)=\frac{1}{2}[m(\tilde{\chi}^{\pm}_1 + m(\tilde{\chi}^{0}_1)]$ is assumed.

Upper limits on signal cross-section (fb) for slepton-pair production.

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,120).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,120).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,120).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,120).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,160).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,160).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,160).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,160).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[100,105).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[100,105).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[100,105).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[100,105).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[105,110).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[105,110).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[105,110).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[105,110).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[110,120).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[110,120).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[110,120).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[110,120).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[120,140).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[120,140).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[120,140).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[120,140).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[140,160).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[140,160).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[140,160).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[140,160).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[160,180).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[160,180).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[160,180).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[160,180).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[180,220).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[180,220).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[180,220).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[180,220).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[220,260).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[220,260).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[220,260).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[220,260).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-0J-[260,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-SF-1J-[260,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-0J-[260,inf).

Signal Acceptance for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).

Signal Efficiency for direct chargino-pair production with W-boson mediated decays in SR-DF-1J-[260,inf).

Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via $W^{\pm}W^{\mp}$. The masses of the two charginos are 300 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 50 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.

Cutflow for supersymmetric model where $\tilde{\chi}_1^{\pm}\tilde{\chi}_1^{\mp}$ decay via slepton-neutrino/sneutrino-lepton pair. The masses of the two charginos are 600 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 1 GeV. The slepton/sneutrino masses are 300 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.

Cutflow for supersymmetric model where $\tilde\ell\tilde\ell$ are produced. Only $\tilde{e}$ and $\tilde{\mu}$ are considered in this model. The masses of the two sleptons are 400 GeV, while the mass of $\tilde{\chi}_1^{0}$ is 200 GeV. The numbers are normalised to the luminosity of 139~fb$^{-1}$.