CMSPublic Web>PhysicsResults>PhysicsResultsSUS>PhysicsResultsSUS16033-PAPER (2019-08-08, TribeniMishra)

Search for supersymmetry in multijet events with missing transverse momentum in proton-proton collisions at 13 TeV (SUS-16-033)

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Further information
Technical plots for CMS speakers (click on plots to get larger pdf versions)

Further information

This analysis is documented in arxiv:1704.07781 and the public webpage for this analysis is http://cms-results.web.cern.ch/cms-results/public-results/publications/SUS-16-033/

Technical plots for CMS speakers (click on plots to get larger pdf versions)

SM Backgrounds

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	Figure 1a : Background composition in zero-lepton search region (inclusive in $H_{\rm T}^{\rm miss}$ and $H_{\rm T}$ ) in bins of the number of jets and the number of b-tagged jets. The expected contribution from each process is obtained from simulation after applying the full baseline selection.
	Figure 1b : Background composition in zero-lepton search region in bins of the number of jets and the number of b-tagged jets for simulated events with $300&lt;H_{\rm T}^{\rm miss}&lt;350$ GeV and $H_{\rm T}&gt;300$ GeV.
	Figure 1c : Background composition in zero-lepton search region in bins of the number of jets and the number of b-tagged jets for simulated events with $350&lt;H_{\rm T}^{\rm miss}&lt;500$ GeV and $H_{\rm T}&gt;350$ GeV.
	Figure 1d : Background composition in zero-lepton search region in bins of the number of jets and the number of b-tagged jets for simulated events with $500&lt;H_{\rm T}^{\rm miss}&lt;750$ GeV and $H_{\rm T}&gt;500$ GeV.
	Figure 1e : Background composition in zero-lepton search region in bins of the number of jets and the number of b-tagged jets for simulated events with $H_{\rm T}^{\rm miss}&gt;750$ GeV and $H_{\rm T}&gt;750$ GeV.
	Figure 2a : The lost-lepton background as a function of $H_{\rm T}$ as determined directly from ttbar, single top quark, W+jets, diboson, and rare-event simulation (points, with statistical uncertainties) and as predicted by applying the lost-lepton background determination procedure to simulated electron and muon control samples (histograms, with statistical uncertainties). The results in the lower panel are obtained through bin-by-bin division of the results in the upper panel, including the uncertainties, by the central values of the "predicted'" results.
	Figure 2b : The lost-lepton background as a function of $H_{\rm T}^{\rm miss}$ as determined directly from ttbar, single top quark, W+jets, diboson, and rare-event simulation (points, with statistical uncertainties) and as predicted by applying the lost-lepton background determination procedure to simulated electron and muon control samples (histograms, with statistical uncertainties). The results in the lower panel are obtained through bin-by-bin division of the results in the upper panel, including the uncertainties, by the central values of the "predicted" results.
	Figure 2c : The lost-lepton background as a function of the number of jets as determined directly from ttbar, single top quark, W+jets, diboson, and rare-event simulation (points, with statistical uncertainties) and as predicted by applying the lost-lepton background determination procedure to simulated electron and muon control samples (histograms, with statistical uncertainties). The results in the lower panel are obtained through bin-by-bin division of the results in the upper panel, including the uncertainties, by the central values of the "predicted" results.
	Figure 2d: The lost-lepton background as a function of the number of b-tagged jets as determined directly from ttbar, single top quark, W+jets, diboson, and rare-event simulation (points, with statistical uncertainties) and as predicted by applying the lost-lepton background determination procedure to simulated electron and muon control samples (histograms, with statistical uncertainties). The results in the lower panel are obtained through bin-by-bin division of the results in the upper panel, including the uncertainties, by the central values of the "predicted" results.
	Figure 3a : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of $H_{\rm T}$ . The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.
	Figure 3b : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of $H_{\rm T}^{\rm miss}$ . The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.
	Figure 3c : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of the number of jets. The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.
	Figure 3d : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of the number of b-tagged jets. The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.
	Figure 4 : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of the search region bin number of the analysis. The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.
	Figure 5 : The hadronically-decaying $\tau$ lepton ( $\tau_{\rm h}$ ) response templates: distributions of the ratio of $\tau_{\rm h}$ visible- $p_{\rm T}$ to true- $p_{\rm T}$ , $p_{\rm T}(\tau_{\rm h}^{\rm visible})/p_{\rm T}(\tau_{\rm h}^{\rm gen})$ , in intervals of $p_{\rm T}(\tau_{\rm h}^{\rm gen})$ as determined from a simulation of single ${\rm W}\rightarrow\tau_{\rm h}\nu_{\tau}$ decay events.
	Figure 6a : Distributions of $H_{\rm T}$ in background events with a hadronically decaying $\tau$ lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying $\tau$ lepton background determination procedure to simulated muon control sample (shaded regions), for the baseline selection. The simulation includes ttbar, W+jets, and single top quark process events.
	Figure 6b : Distributions of $H_{\rm T}^{\rm miss}$ in background events with a hadronically decaying $\tau$ lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying $\tau$ lepton background determination procedure to simulated muon control sample (shaded regions), for the baseline selection. The simulation includes ttbar, W+jets, and single top quark process events.
	Figure 6c : Distributions of the number of jets in background events with a hadronically decaying $\tau$ lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying $\tau$ lepton background determination procedure to simulated muon control sample (shaded regions), for the baseline selection. The simulation includes ttbar, W+jets, and single top quark process events.
	Figure 6d : Distributions of the number of b-tagged jets in background events with a hadronically decaying $\tau$ lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying $\tau$ lepton background determination procedure to simulated muon control sample (shaded regions), for the baseline selection. The simulation includes ttbar, W+jets, and single top quark process events.
	Figure 7a : Distribution of $H_{\rm T}$ in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.
	Figure 7b : Distribution of $H_{\rm T}^{\rm miss}$ in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.
	Figure 7c : Distribution of the number of jets in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.
	Figure 7d : Distribution of the number of b-tagged jetsin background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.
	Figure 8a : Distribution of the azimuthal separation between the $H_{\rm T}^{\rm miss}$ and the first jet in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.
	Figure 8b : Distribution of the azimuthal separation between the $H_{\rm T}^{\rm miss}$ and the second jet in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.
	Figure 8c : Distribution of the azimuthal separation between the $H_{\rm T}^{\rm miss}$ and the third jet in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.
	Figure 8d : Distribution of the azimuthal separation between the $H_{\rm T}^{\rm miss}$ and the fourth jet in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.
	Figure 9a : Distribution of the multiplicity of jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted $\Delta\phi$ selection applied to enhance the QCD yield.
	Figure 9b: Distribution of the multiplicity of jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted $\Delta\phi$ selection applied to enhance the QCD yield.
	Figure 9c : Distributions of the multiplicity of jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted $\Delta\phi$ selection applied to enhance the QCD yield.
	Figure 9d : Distributions of the multiplicity of b-tagged jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted $\Delta\phi$ selection applied to enhance the QCD yield.
	Figure 9e: Distributions of the multiplicity of b-tagged jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted $\Delta\phi$ selection applied to enhance the QCD yield.
	Figure 9f : Distributions of the multiplicity of b-tagged jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted $\Delta\phi$ selection applied to enhance the QCD yield.
	Figure 10a : Distributions of the multiplicity of jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in the low- $H_{\rm T}^{\rm miss}$ , inverted $\Delta\phi$ control region.
	Figure 10b : Distributions of the multiplicity of b-tagged jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in the low- $H_{\rm T}^{\rm miss}$ , inverted $\Delta\phi$ control region.
	Figure 10c : The distribution of the significance of deviation between the QCD prediction and inferred QCD count in the 174 inverted $\Delta\phi$ signal region bins. Here, the inferred QCD count is the observed count minus the predicted electroweak background count.
	Figure 11a : Distribution of $R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}$ vs. $H_{\rm T}$ with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.
	Figure 11b : Distribution of $R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}$ vs. $H_{\rm T}^{\rm miss}$ with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.
	Figure 11c : Distribution of $R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}$ vs. $N_{\rm jet}$ with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.
	Figure 12a: Distribution of $\frac{R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}^{\rm Data}}{R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}^{\rm Sim}}$ vs. $H_{\rm T}$ with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties. The solid blue line shows the straight-line fit, with the uncertainties propagated as blue dashed lines.
	Figure 12b: Distribution of $\frac{R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}^{\rm Data}}{R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}^{\rm Sim}}$ vs. $H_{\rm T}^{\rm miss}$ with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties. The solid blue line shows the straight-line fit, with the uncertainties propagated as blue dashed lines.
	Figure 12c: Distribution of $\frac{R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}^{\rm Data}}{R_{{\rm Z}\rightarrow \ell^+\ell^{-}/\gamma}^{\rm Sim}}$ vs. $N_{\rm jet}$ with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties. The solid blue line shows the straight-line fit, with the uncertainties propagated as blue dashed lines.
	Figure 13a: The dimuon invariant mass distribution of the ${\rm Z}\rightarrow \mu^+\mu^{-}$ control region with baseline selection applied.
	Figure 13b: The dielectron invariant mass distribution of the ${\rm Z}\rightarrow e^+e^{-}$ control region with baseline selection applied.
	Figure 14: Distribution of $R_{{\rm Z}/\gamma}$ with baseline selection applied in the 46 search bins with $N_{\rm b-jet}=0$ . Points with error bars show the computed value in each bin with statistical uncertainties.
	Figure 15: Distribution of single photon event yields with baseline selection applied in the 46 search bins with $N_{\rm b-jet}=0$ . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.
	Figure 16a: Distribution of single photon event yields with baseline selection applied and $N_{\rm b-jet}=0$ versus $H_{\rm T}$ . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.
	Figure 16b: Distribution of single photon event yields with baseline selection applied and $N_{\rm b-jet}=0$ versus $H^{\rm miss}_{\rm T}$ . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.
	Figure 16c: Distribution of single photon event yields with baseline selection applied and $N_{\rm b-jet}=0$ versus $N_{\rm jet}$ . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.
	Figure 16d: Distribution of single photon event yields with baseline selection applied and $N_{\rm b-jet}=0$ versus $p_{\rm T,\gamma}$ . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.
	Figure 17: Measured photon purity versus $H^{\rm miss}_{\rm T}$ . The solid points with errors show the purity for events with a photon reconstructed in the barrel; open points with errors show the purity for events with a photon reconstructed in the endcap.

Results: yields vs. background prediction, select kinematic distributions

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	Figure 18a : The sensitivity of the analysis to different direct gluino production signal models as a function of the analysis binning. The upper panel shows the total predicted SM backgrounds and the expected number of signal events in 35.9 ${\rm fb}^{-1}$ of data for six representative model points per analysis bin. The bottom panel shows the expected sensitivity, expressed in terms of the figure of merit Q, per analysis bin.
	Figure 18b : The sensitivity of the analysis to different direct squark production signal models as a function of the analysis binning. The upper panel shows the total predicted SM backgrounds and the expected number of signal events in 35.9 ${\rm fb}^{-1}$ of data for six representative model points per analysis bin. The bottom panel shows the expected sensitivity, expressed in terms of the figure of merit Q, per analysis bin.

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Figure 18a : The sensitivity of the analysis to different direct gluino production signal models as a function of the analysis binning. The upper panel shows the total predicted SM backgrounds and the expected number of signal events in 35.9 ${\rm fb}^{-1}$ of data for six representative model points per analysis bin. The bottom panel shows the expected sensitivity, expressed in terms of the figure of merit Q, per analysis bin.

Figure 18b : The sensitivity of the analysis to different direct squark production signal models as a function of the analysis binning. The upper panel shows the total predicted SM backgrounds and the expected number of signal events in 35.9 ${\rm fb}^{-1}$ of data for six representative model points per analysis bin. The bottom panel shows the expected sensitivity, expressed in terms of the figure of merit Q, per analysis bin.

Figure	Caption
	Figure 19a : One-dimensional projection of observed number of events and pre-fit background predictions in the search region in $N_{\rm jet}$ .
	Figure 19b : The same distributions shown in Add. Fig. 19a, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 19c : One-dimensional projection of observed number of events and pre-fit background predictions in the search region in $N_{\rm b-jet}$ .
	Figure 19d : The same distributions shown in Add. Fig. 19c, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 19e : One-dimensional projection of observed number of events and pre-fit background predictions in the search region in $H_{\rm T}^{\rm miss}$ .
	Figure 19f : The same distributions shown in Add. Fig. 19e, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.

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	Figure 20a : The same distributions shown in Fig. 11a in the body of the paper, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 20b : The same distributions shown in Fig. 11b in the body of the paper, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 20c : The same distributions shown in Fig. 11c in the body of the paper, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 20d : The same distributions shown in Fig. 11d in the body of the paper, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 20e : The same distributions shown in Fig. 11e in the body of the paper, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 20f : The same distributions shown in Fig. 11f in the body of the paper, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.

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	Figure 21a : Observed numbers of events and corresponding SM background predictions in intervals of $N_{\rm jet}$ and $N_{\rm b-jet}$ , integrated over search regions with $H_{\rm T}^{\rm miss}&gt;750$ GeV and $H_{\rm T}&gt;750$ GeV. An example T1tttt signal scenario with $m_{\tilde{\rm g}}=1500$ GeV and $m_{\tilde{\chi}_1^0}=100$ GeV is shown by the (stacked) purple histogram.
	Figure 21b : The same distributions shown in Add. Fig. 21a, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 21c : Observed numbers of events and corresponding SM background predictions in intervals of $N_{\rm jet}$ and $N_{\rm b-jet}$ , integrated over search regions with $H_{\rm T}^{\rm miss}&gt;750$ GeV and $H_{\rm T}&gt;750$ GeV. An example T1bbbb signal scenario with $m_{\tilde{\rm g}}=1500$ GeV and $m_{\tilde{\chi}_1^0}=100$ GeV is shown by the (stacked) purple histogram.
	Figure 21d : The same distributions shown in Add. Fig. 21c, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 21e : Observed numbers of events and corresponding SM background predictions in intervals of $N_{\rm jet}$ and $N_{\rm b-jet}$ , integrated over search regions with $H_{\rm T}^{\rm miss}&gt;750$ GeV and $H_{\rm T}&gt;750$ GeV. An example T1qqqq signal scenario with $m_{\tilde{\rm g}}=1400$ GeV and $m_{\tilde{\chi}_1^0}=100$ GeV is shown by the (stacked) purple histogram.
	Figure 21f : The same distributions shown in Add. Fig. 21e, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 21g : Observed numbers of events and corresponding SM background predictions in intervals of $N_{\rm jet}$ and $N_{\rm b-jet}$ , integrated over search regions with $H_{\rm T}^{\rm miss}&gt;750$ GeV and $H_{\rm T}&gt;750$ GeV. An example T2tt signal scenario with $m_{\tilde{\rm t}}=700$ GeV and $m_{\tilde{\chi}_1^0}=50$ GeV is shown by the (stacked) purple histogram.
	Figure 21h : The same distributions shown in Add. Fig. 21g, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 21i : Observed numbers of events and corresponding SM background predictions in intervals of $N_{\rm jet}$ and $N_{\rm b-jet}$ , integrated over search regions with $H_{\rm T}^{\rm miss}&gt;750$ GeV and $H_{\rm T}&gt;750$ GeV. An example T2bb signal scenario with $m_{\tilde{\rm b}}=650$ GeV and $m_{\tilde{\chi}_1^0}=1$ GeV is shown by the (stacked) purple histogram.
	Figure 21j : The same distributions shown in Add. Fig. 21i, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.
	Figure 21k : Observed numbers of events and corresponding SM background predictions in intervals of $N_{\rm jet}$ and $N_{\rm b-jet}$ , integrated over search regions with $H_{\rm T}^{\rm miss}&gt;750$ GeV and $H_{\rm T}&gt;750$ GeV. An example T2qq signal scenario with $m_{\tilde{\rm b}}=1000$ GeV and $m_{\tilde{\chi}_1^0}=100$ GeV is shown by the (stacked) purple histogram.
	Figure 21l : The same distributions shown in Add. Fig. 21k, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.

Figure	Caption
	Figure 22 : The same distributions shown in Fig. 9 in the body of the paper, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.

Figure	Caption
	Figure 23 : The same distributions shown in Fig. 10 in the body of the paper, with the pull for each bin, defined as $(N_{\rm Obs.}-N_{\rm Pred.})/\sqrt{N_{\rm Pred.}+(\delta N_{\rm Pred.})^2}$ , shown in the lower panel of the plot.

Event displays

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	Figure 24a : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the non b-tagged jets are marked and labeled in orange and the momentum of the b-tagged jet is marked in green.
	Figure 24b : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the non b-tagged jets are marked and labeled in orange and the momentum of the b-tagged jet is marked in green.
	Figure 24c : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the non b-tagged jets are marked and labeled in orange and the momentum of the b-tagged jet is marked in green.
	Figure 24d : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the non b-tagged jets are marked and labeled in orange and the momentum of the b-tagged jet is marked in green.

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	Figure 25a : Event displays for a SUSY candidate dijet event with very high $H_{\rm T}^{\rm miss}$ in the search region, 277194:1454:2573527294 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the two jets are marked and labeled in orange.
	Figure 25b : Event displays for a SUSY candidate dijet event with very high $H_{\rm T}^{\rm miss}$ in the search region, 277194:1454:2573527294 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the two jets are marked and labeled in orange.
	Figure 25c : Event displays for a SUSY candidate dijet event with very high $H_{\rm T}^{\rm miss}$ in the search region, 277194:1454:2573527294 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the two jets are marked and labeled in orange.
	Figure 25d : Event displays for a SUSY candidate dijet event with very high $H_{\rm T}^{\rm miss}$ in the search region, 277194:1454:2573527294 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the two jets are marked and labeled in orange.

Figure	Caption
	Figure 26a : Event displays for a T1bbbb-like candidate in the search region with exactly 4 jets, all of which are b-tagged, 277087:815:881281212 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the four b-tagged jets are marked and labeled in green.
	Figure 26b : Event displays for a T1bbbb-like candidate in the search region with exactly 4 jets, all of which are b-tagged, 277087:815:881281212 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the four b-tagged jets are marked and labeled in green.
	Figure 26c : Event displays for a T1bbbb-like candidate in the search region with exactly 4 jets, all of which are b-tagged, 277087:815:881281212 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the four b-tagged jets are marked and labeled in green.
	Figure 26d : Event displays for a T1bbbb-like candidate in the search region with exactly 4 jets, all of which are b-tagged, 277087:815:881281212 in (a) $r-\phi$ view, (b) $r-\phi$ view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the four b-tagged jets are marked and labeled in green.

Additional interpretation

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	Figure 27a : Survival probability, defined as the fraction of model points that are not excluded at 95% CL as computed using the CLs criterion, in the $m_{\tilde{\rm g}}-m_{\tilde{\chi}_1^0}$ plane, for the signal model points in a pMSSM-19 scan [1]. For small $\tilde{\chi}_1^0$ mass, the range of excluded gluino mass exceeds typical SMS limits; this is mostly due to the presence of relatively light squarks in pMSSM model points with large gluino mass, which are not present in simplified models. White space indicates where the density of scan points is 0.
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	Figure 27b : Survival probability, defined as the fraction of model points that are not excluded at 95% CL as computed using the CLs criterion, in the $m_{\rm LCSP}-m_{\tilde{\chi}_1^0}$ plane, for the signal model points in a pMSSM-19 scan [1]. LCSP denotes the lightest colored SUSY particle. White space indicates where the density of scan points is 0.

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	Figure 28a : Posterior density, computed using the methodology described in [1], in the $m_{\tilde{\rm g}}-m_{\tilde{\chi}_1^0}$ plane of the pMSSM-19. The "counts-based" construction is used for computation of the likelihood. The peak in the posterior density at low $m_{\tilde{\chi}_1^0}$ is due to the requirement that all four neutralino masses be less than 3 TeV in the parameter scan.
Figure	Caption
	Figure 28b : Posterior density, computed using the methodology described in [1], in the $m_{\rm LCSP}-m_{\tilde{\chi}_1^0}$ plane of the pMSSM-19, where LCSP denotes the lightest colored SUSY particle. The "counts-based" construction is used for the computation of the likelhood.

References

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[1] CMS Collaboration, “Phenomenological MSSM interpretation of CMS searches in pp collisions at sqrt(s) = 7 and 8 TeV”, JHEP 10 (2016) 129, doi:10.1007/JHEP10(2016)129, arXiv:1606.03577.

AnalysisBins_BTag0_RzGamma_Run2_signal_ZJets_supplementary.pdf: Distribution of $R_{{\rm Z}/\gamma}$ with baseline selection applied in the 46 search bins with $N_{\rm b-jet}=0$. Because of limited statistical precision in the simulated event samples at large $N_{\rm jet}$, the transfer factors determined for the $8\leq$N_{\rm jet}$\leq 9$ region are also used for the $N_{\rm jet}10$ region. Points with error bars show the computed value in each bin with statistical uncertainties.

Distribution of $R_{{\rm Z}/\gamma}$ with baseline selection applied in the 46 search bins with $N_{\rm b-jet}=0$. Because of limited statistical precision in the simulated event samples at large $N_{\rm jet}$, the transfer factors determined for the $8\leq$N_{\rm jet}$\leq 9$ region are also used for the $N_{\rm jet}10$ region. Points with error bars show the computed value in each bin with statistical uncertainties.:

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Topic attachments
I	Attachment	History	Action	Size	Date	Who	Comment
pdf	15-jet-evt-2D-white.pdf	r2 r1	manage	121.4 K	2017-05-10 - 04:26	JohnBradmillerFeld
png	15-jet-evt-2D-white.png	r2 r1	manage	147.7 K	2017-05-10 - 04:26	JohnBradmillerFeld
pdf	15-jet-evt-2D.pdf	r2 r1	manage	118.3 K	2017-05-10 - 04:26	JohnBradmillerFeld
png	15-jet-evt-2D.png	r2 r1	manage	144.2 K	2017-05-10 - 04:26	JohnBradmillerFeld
pdf	15-jet-evt-3D-white.pdf	r1	manage	67.6 K	2017-05-10 - 04:00	JohnBradmillerFeld
png	15-jet-evt-3D-white.png	r1	manage	254.0 K	2017-05-10 - 04:00	JohnBradmillerFeld
pdf	15-jet-evt-3D.pdf	r1	manage	57.7 K	2017-05-10 - 04:00	JohnBradmillerFeld
png	15-jet-evt-3D.png	r1	manage	246.6 K	2017-05-10 - 04:00	JohnBradmillerFeld
pdf	2D-T1bbbb-pull.pdf	r1	manage	19.1 K	2017-05-01 - 23:44	JohnBradmillerFeld
png	2D-T1bbbb-pull.png	r1	manage	327.4 K	2017-05-01 - 23:44	JohnBradmillerFeld
pdf	2D-T1bbbb.pdf	r1	manage	21.1 K	2017-05-01 - 23:09	JohnBradmillerFeld
png	2D-T1bbbb.png	r1	manage	434.0 K	2017-05-01 - 23:09	JohnBradmillerFeld
pdf	2D-T1qqqq-pull.pdf	r1	manage	19.1 K	2017-05-01 - 23:41	JohnBradmillerFeld
png	2D-T1qqqq-pull.png	r1	manage	326.8 K	2017-05-01 - 23:41	JohnBradmillerFeld
pdf	2D-T1qqqq.pdf	r1	manage	21.1 K	2017-05-01 - 23:09	JohnBradmillerFeld
png	2D-T1qqqq.png	r1	manage	433.3 K	2017-05-01 - 23:09	JohnBradmillerFeld
pdf	2D-T1tttt-pull.pdf	r1	manage	19.0 K	2017-05-01 - 23:44	JohnBradmillerFeld
png	2D-T1tttt-pull.png	r1	manage	325.1 K	2017-05-01 - 23:44	JohnBradmillerFeld
pdf	2D-T1tttt.pdf	r1	manage	21.1 K	2017-05-01 - 23:09	JohnBradmillerFeld
png	2D-T1tttt.png	r1	manage	431.6 K	2017-05-01 - 23:09	JohnBradmillerFeld
pdf	2D-T2bb-pull.pdf	r1	manage	19.0 K	2017-05-01 - 23:43	JohnBradmillerFeld
png	2D-T2bb-pull.png	r1	manage	325.3 K	2017-05-01 - 23:43	JohnBradmillerFeld
pdf	2D-T2bb.pdf	r1	manage	21.1 K	2017-05-01 - 23:09	JohnBradmillerFeld
png	2D-T2bb.png	r1	manage	431.7 K	2017-05-01 - 23:09	JohnBradmillerFeld
pdf	2D-T2qq-pull.pdf	r1	manage	19.0 K	2017-05-01 - 23:41	JohnBradmillerFeld
png	2D-T2qq-pull.png	r1	manage	325.9 K	2017-05-01 - 23:41	JohnBradmillerFeld
pdf	2D-T2qq.pdf	r1	manage	21.1 K	2017-05-01 - 23:09	JohnBradmillerFeld
png	2D-T2qq.png	r1	manage	432.4 K	2017-05-01 - 23:09	JohnBradmillerFeld
pdf	2D-T2tt-pull.pdf	r1	manage	19.0 K	2017-05-01 - 23:43	JohnBradmillerFeld
png	2D-T2tt-pull.png	r1	manage	323.9 K	2017-05-01 - 23:43	JohnBradmillerFeld
pdf	2D-T2tt.pdf	r1	manage	21.1 K	2017-05-01 - 23:09	JohnBradmillerFeld
png	2D-T2tt.png	r1	manage	430.5 K	2017-05-01 - 23:09	JohnBradmillerFeld
pdf	AnalysisBins_BTag0_photon_baseline_LogY.pdf	r2 r1	manage	50.6 K	2017-05-15 - 19:45	AndrewWhitbeck
png	AnalysisBins_BTag0_photon_baseline_LogY.png	r3 r2 r1	manage	36.2 K	2017-05-15 - 19:45	AndrewWhitbeck
pdf	Closure_HT_delphi_stacked_ARElog116_ARElog115_Plot_kRed-9.pdf	r1	manage	17.9 K	2017-05-02 - 15:54	AditeePrabhakarRane
png	Closure_HT_delphi_stacked_ARElog116_ARElog115_Plot_kRed-9.png	r1	manage	19.9 K	2017-05-02 - 16:28	AditeePrabhakarRane
pdf	Closure_MHT_delphi_stacked_ARElog116_ARElog115_Plot_kRed-9.pdf	r1	manage	20.0 K	2017-05-02 - 16:33	AditeePrabhakarRane
png	Closure_MHT_delphi_stacked_ARElog116_ARElog115_Plot_kRed-9.png	r1	manage	21.1 K	2017-05-02 - 16:33	AditeePrabhakarRane
pdf	Closure_NBtag_delphi_stacked_ARElog116_ARElog115_Plot_kRed-9.pdf	r1	manage	15.8 K	2017-05-02 - 16:39	AditeePrabhakarRane
png	Closure_NBtag_delphi_stacked_ARElog116_ARElog115_Plot_kRed-9.png	r1	manage	18.1 K	2017-05-02 - 16:39	AditeePrabhakarRane
pdf	Closure_NJet_delphi_stacked_ARElog116_ARElog115_Plot_kRed-9.pdf	r1	manage	17.9 K	2017-05-02 - 17:16	AditeePrabhakarRane
png	Closure_NJet_delphi_stacked_ARElog116_ARElog115_Plot_kRed-9.png	r1	manage	18.1 K	2017-05-02 - 17:16	AditeePrabhakarRane
pdf	ExpVsCS_HT_baseline_Plot.pdf	r2 r1	manage	17.4 K	2018-03-06 - 17:47	UnknownUser
png	ExpVsCS_HT_baseline_Plot.png	r2 r1	manage	19.1 K	2018-03-06 - 17:48	UnknownUser
pdf	ExpVsCS_MHT_baseline_Plot.pdf	r2 r1	manage	17.3 K	2018-03-06 - 17:48	UnknownUser
png	ExpVsCS_MHT_baseline_Plot.png	r2 r1	manage	19.5 K	2018-03-06 - 17:48	UnknownUser
pdf	ExpVsCS_NBtag_baseline_Plot.pdf	r2 r1	manage	15.5 K	2018-03-06 - 17:48	UnknownUser
png	ExpVsCS_NBtag_baseline_Plot.png	r2 r1	manage	16.6 K	2018-03-06 - 17:49	UnknownUser
pdf	ExpVsCS_NJets_baseline_Plot.pdf	r2 r1	manage	17.3 K	2018-03-06 - 17:49	UnknownUser
png	ExpVsCS_NJets_baseline_Plot.png	r2 r1	manage	18.1 K	2018-03-06 - 17:49	UnknownUser
pdf	ExpVsCS_search_baseline_Plot.pdf	r2 r1	manage	51.2 K	2018-03-06 - 17:49	UnknownUser
png	ExpVsCS_search_baseline_Plot.png	r2 r1	manage	27.9 K	2018-03-06 - 17:49	UnknownUser
pdf	ExpVsPre_HT_baseline_Plot.pdf	r1	manage	18.0 K	2017-04-28 - 17:15	RishiPatel
png	ExpVsPre_HT_baseline_Plot.png	r1	manage	130.9 K	2017-04-28 - 17:44	RishiPatel
pdf	ExpVsPre_MHT_baseline_Plot.pdf	r1	manage	17.8 K	2017-04-28 - 17:15	RishiPatel
png	ExpVsPre_MHT_baseline_Plot.png	r1	manage	131.2 K	2017-04-28 - 17:44	RishiPatel
pdf	ExpVsPre_NBtag_baseline_Plot.pdf	r1	manage	15.7 K	2017-04-28 - 17:15	RishiPatel
png	ExpVsPre_NBtag_baseline_Plot.png	r1	manage	115.1 K	2017-04-28 - 17:44	RishiPatel
pdf	ExpVsPre_NJets_baseline_Plot.pdf	r1	manage	17.8 K	2017-04-28 - 17:15	RishiPatel
png	ExpVsPre_NJets_baseline_Plot.png	r1	manage	125.7 K	2017-04-28 - 17:44	RishiPatel
pdf	HT_photon_baseline_LogY.pdf	r2 r1	manage	52.5 K	2017-05-15 - 19:45	AndrewWhitbeck
png	HT_photon_baseline_LogY.png	r3 r2 r1	manage	36.5 K	2017-05-15 - 19:45	AndrewWhitbeck
pdf	MC_BG_Pie_vs_NJets_NBJets.pdf	r2 r1	manage	42.2 K	2017-04-30 - 20:39	JohnBradmillerFeld
png	MC_BG_Pie_vs_NJets_NBJets.png	r2 r1	manage	30.5 K	2017-04-30 - 20:39	JohnBradmillerFeld
pdf	MC_BG_Pie_vs_NJets_NBJets_MHT0.pdf	r2 r1	manage	42.4 K	2017-04-30 - 20:27	JohnBradmillerFeld
png	MC_BG_Pie_vs_NJets_NBJets_MHT0.png	r2 r1	manage	31.3 K	2017-04-30 - 20:27	JohnBradmillerFeld
pdf	MC_BG_Pie_vs_NJets_NBJets_MHT1.pdf	r2 r1	manage	42.3 K	2017-04-30 - 20:39	JohnBradmillerFeld
png	MC_BG_Pie_vs_NJets_NBJets_MHT1.png	r2 r1	manage	30.6 K	2017-04-30 - 20:39	JohnBradmillerFeld
pdf	MC_BG_Pie_vs_NJets_NBJets_MHT2.pdf	r2 r1	manage	42.4 K	2017-04-30 - 20:39	JohnBradmillerFeld
png	MC_BG_Pie_vs_NJets_NBJets_MHT2.png	r2 r1	manage	29.8 K	2017-04-30 - 20:39	JohnBradmillerFeld
pdf	MC_BG_Pie_vs_NJets_NBJets_MHT3.pdf	r2 r1	manage	42.3 K	2017-04-30 - 20:39	JohnBradmillerFeld
png	MC_BG_Pie_vs_NJets_NBJets_MHT3.png	r2 r1	manage	29.5 K	2017-04-30 - 20:39	JohnBradmillerFeld
pdf	MHT_photon_baseline_LogY.pdf	r2 r1	manage	54.9 K	2017-05-15 - 19:45	AndrewWhitbeck
png	MHT_photon_baseline_LogY.png	r3 r2 r1	manage	37.6 K	2017-05-15 - 19:45	AndrewWhitbeck
pdf	NJets_photon_baseline_LogY.pdf	r2 r1	manage	40.7 K	2017-05-15 - 19:45	AndrewWhitbeck
png	NJets_photon_baseline_LogY.png	r3 r2 r1	manage	11.6 K	2017-05-15 - 19:45	AndrewWhitbeck
pdf	PhotonPt_photon_baseline_LogY.pdf	r2 r1	manage	51.7 K	2017-05-15 - 20:43	AndrewWhitbeck
png	PhotonPt_photon_baseline_LogY.png	r1	manage	34.9 K	2017-05-15 - 23:00	AndrewWhitbeck
pdf	Plot_WgunTemplate.pdf	r1	manage	15.1 K	2017-05-02 - 17:20	AditeePrabhakarRane
png	Plot_WgunTemplate.png	r1	manage	18.5 K	2017-05-02 - 17:23	AditeePrabhakarRane
pdf	SUS13012_SUS16033kevin_surv_100_mLCSP_rebin_VS_mz1_rebin2.pdf	r1	manage	15.8 K	2017-08-26 - 14:59	SamBein
png	SUS13012_SUS16033kevin_surv_100_mLCSP_rebin_VS_mz1_rebin2.png	r1	manage	137.1 K	2017-08-30 - 17:35	KevinPedro
pdf	SUS13012_SUS16033kevin_surv_100_mLCSP_rebin_VS_mz1_rebin2_sp.pdf	r1	manage	15.4 K	2017-08-26 - 14:59	SamBein
png	SUS13012_SUS16033kevin_surv_100_mLCSP_rebin_VS_mz1_rebin2_sp.png	r1	manage	142.5 K	2017-08-30 - 17:35	KevinPedro
pdf	SUS13012_SUS16033kevin_surv_100_mg_rebin_VS_mz1_rebin2.pdf	r1	manage	15.8 K	2017-08-26 - 14:59	SamBein
png	SUS13012_SUS16033kevin_surv_100_mg_rebin_VS_mz1_rebin2.png	r1	manage	137.7 K	2017-08-30 - 17:35	KevinPedro
pdf	SUS13012_SUS16033kevin_surv_100_mg_rebin_VS_mz1_rebin2_sp.pdf	r1	manage	15.5 K	2017-08-26 - 14:59	SamBein
png	SUS13012_SUS16033kevin_surv_100_mg_rebin_VS_mz1_rebin2_sp.png	r1	manage	141.7 K	2017-08-30 - 17:35	KevinPedro
pdf	T1bbbb-projection-pull.pdf	r1	manage	16.3 K	2017-05-01 - 21:17	JohnBradmillerFeld
png	T1bbbb-projection-pull.png	r3 r2 r1	manage	393.1 K	2017-05-02 - 00:31	JohnBradmillerFeld
pdf	T1qqqq-projection-pull.pdf	r1	manage	17.1 K	2017-05-01 - 21:17	JohnBradmillerFeld
png	T1qqqq-projection-pull.png	r3 r2 r1	manage	397.8 K	2017-05-02 - 00:31	JohnBradmillerFeld
pdf	T1tttt-projection-pull.pdf	r1	manage	16.5 K	2017-05-01 - 21:17	JohnBradmillerFeld
png	T1tttt-projection-pull.png	r3 r2 r1	manage	402.1 K	2017-05-02 - 00:31	JohnBradmillerFeld
pdf	T2bb-projection-pull.pdf	r1	manage	16.8 K	2017-05-01 - 21:14	JohnBradmillerFeld
png	T2bb-projection-pull.png	r3 r2 r1	manage	367.7 K	2017-05-02 - 00:31	JohnBradmillerFeld
pdf	T2qq-projection-pull.pdf	r1	manage	16.4 K	2017-05-01 - 21:38	JohnBradmillerFeld
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pdf	T2tt-projection-pull.pdf	r1	manage	15.9 K	2017-05-01 - 21:14	JohnBradmillerFeld
png	T2tt-projection-pull.png	r3 r2 r1	manage	353.8 K	2017-05-02 - 00:31	JohnBradmillerFeld
pdf	bbbb-evt-2D-white.pdf	r1	manage	94.8 K	2017-05-10 - 04:12	JohnBradmillerFeld
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pdf	bbbb-evt-2D.pdf	r1	manage	92.9 K	2017-05-10 - 04:12	JohnBradmillerFeld
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pdf	bbbb-evt-3D-white.pdf	r1	manage	206.0 K	2017-05-10 - 04:12	JohnBradmillerFeld
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pdf	bbbb-evt-3D.pdf	r1	manage	207.4 K	2017-05-10 - 04:12	JohnBradmillerFeld
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pdf	dr-ht.pdf	r2 r1	manage	16.0 K	2017-05-09 - 19:06	TroyMulholland	Ordinate zoom for clarity.
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pdf	dr-mht.pdf	r2 r1	manage	15.7 K	2017-05-09 - 19:06	TroyMulholland	Ordinate zoom for clarity.
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pdf	dr-nj.pdf	r2 r1	manage	15.8 K	2017-05-09 - 19:06	TroyMulholland	Ordinate zoom for clarity.
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pdf	high-MHT-evt-2D-white.pdf	r1	manage	86.8 K	2017-05-10 - 04:12	JohnBradmillerFeld
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pdf	high-MHT-evt-2D.pdf	r1	manage	85.2 K	2017-05-10 - 04:12	JohnBradmillerFeld
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pdf	high-MHT-evt-3D.pdf	r1	manage	229.5 K	2017-05-10 - 04:12	JohnBradmillerFeld
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pdf	mht-projection-pull.pdf	r1	manage	17.3 K	2017-05-01 - 21:32	JohnBradmillerFeld
png	mht-projection-pull.png	r2 r1	manage	345.4 K	2017-05-02 - 00:25	JohnBradmillerFeld
pdf	mht-projection.pdf	r2 r1	manage	18.0 K	2017-05-01 - 01:54	JohnBradmillerFeld
png	mht-projection.png	r4 r3 r2 r1	manage	382.9 K	2017-05-02 - 00:28	JohnBradmillerFeld
pdf	nbjets-projection-pull.pdf	r2 r1	manage	16.5 K	2017-05-01 - 01:54	JohnBradmillerFeld
png	nbjets-projection-pull.png	r4 r3 r2 r1	manage	345.7 K	2017-05-02 - 00:25	JohnBradmillerFeld
pdf	nbjets-projection.pdf	r2 r1	manage	17.2 K	2017-05-01 - 01:54	JohnBradmillerFeld
png	nbjets-projection.png	r4 r3 r2 r1	manage	386.0 K	2017-05-02 - 00:28	JohnBradmillerFeld
pdf	njets-projection-pull.pdf	r2 r1	manage	16.6 K	2017-05-01 - 01:54	JohnBradmillerFeld
png	njets-projection-pull.png	r4 r3 r2 r1	manage	341.3 K	2017-05-02 - 00:25	JohnBradmillerFeld
pdf	njets-projection.pdf	r2 r1	manage	17.4 K	2017-05-01 - 01:54	JohnBradmillerFeld
png	njets-projection.png	r4 r3 r2 r1	manage	378.7 K	2017-05-02 - 00:28	JohnBradmillerFeld
pdf	photontPurity_MHT.pdf	r2 r1	manage	46.1 K	2017-05-15 - 19:49	AndrewWhitbeck
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pdf	rands-closure-btags.pdf	r4 r3 r2 r1	manage	16.1 K	2017-05-20 - 15:23	SamBein
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pdf	rands-closure-ht.pdf	r3 r2 r1	manage	25.8 K	2017-05-05 - 15:01	SamBein
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pdf	rands-closure-njets.pdf	r3 r2 r1	manage	16.5 K	2017-05-05 - 15:01	SamBein
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pdf	results-plot-prefit-12-asrs-35_9-log-pull.pdf	r1	manage	16.7 K	2017-05-04 - 21:12	JohnBradmillerFeld
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pdf	results-plot-prefit-35_9_pre_app-log-pull.pdf	r1	manage	35.2 K	2017-05-04 - 21:12	JohnBradmillerFeld
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pdf	sr-nj.pdf	r2 r1	manage	15.7 K	2017-05-09 - 19:06	TroyMulholland	Ordinate zoom for clarity.
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pdf	supMoriondLdpBtags_HTMHT3.pdf	r3 r2 r1	manage	15.3 K	2017-05-05 - 15:01	SamBein
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pdf	supMoriondLdpBtags_HTMHT6.pdf	r3 r2 r1	manage	15.3 K	2017-05-05 - 15:01	SamBein
png	supMoriondLdpBtags_HTMHT6.png	r3 r2 r1	manage	45.3 K	2017-05-05 - 15:47	SamBein
pdf	supMoriondLdpBtags_HTMHT8.pdf	r3 r2 r1	manage	15.3 K	2017-05-05 - 15:01	SamBein
png	supMoriondLdpBtags_HTMHT8.png	r3 r2 r1	manage	45.2 K	2017-05-05 - 15:47	SamBein
pdf	supMoriondLdpNJets_HTMHT3.pdf	r3 r2 r1	manage	15.6 K	2017-05-05 - 15:01	SamBein
png	supMoriondLdpNJets_HTMHT3.png	r4 r3 r2 r1	manage	45.4 K	2017-05-05 - 15:47	SamBein
pdf	supMoriondLdpNJets_HTMHT6.pdf	r3 r2 r1	manage	15.6 K	2017-05-05 - 15:01	SamBein
png	supMoriondLdpNJets_HTMHT6.png	r4 r3 r2 r1	manage	45.6 K	2017-05-05 - 15:47	SamBein
pdf	supMoriondLdpNJets_HTMHT8.pdf	r3 r2 r1	manage	15.6 K	2017-05-05 - 15:01	SamBein
png	supMoriondLdpNJets_HTMHT8.png	r4 r3 r2 r1	manage	46.0 K	2017-05-05 - 15:47	SamBein
pdf	supPredInferred2016LDPBTagsc3.pdf	r3 r2 r1	manage	15.3 K	2017-05-05 - 15:02	SamBein
png	supPredInferred2016LDPBTagsc3.png	r3 r2 r1	manage	39.4 K	2017-05-05 - 15:02	SamBein
pdf	supPredInferred2016LDPNJetsc3.pdf	r3 r2 r1	manage	15.2 K	2017-05-05 - 15:02	SamBein
png	supPredInferred2016LDPNJetsc3.png	r3 r2 r1	manage	38.6 K	2017-05-05 - 15:02	SamBein
pdf	sup_PullLdp.pdf	r3 r2 r1	manage	14.9 K	2017-05-05 - 15:01	SamBein
png	sup_PullLdp.png	r3 r2 r1	manage	41.4 K	2017-05-05 - 15:01	SamBein
pdf	t1-signal-q-plot-174-bins.pdf	r2 r1	manage	54.9 K	2017-05-01 - 21:07	JohnBradmillerFeld
png	t1-signal-q-plot-174-bins.png	r1	manage	345.0 K	2017-05-02 - 00:02	JohnBradmillerFeld
pdf	t2-signal-q-plot-174-bins.pdf	r2 r1	manage	64.0 K	2017-05-01 - 21:07	JohnBradmillerFeld
png	t2-signal-q-plot-174-bins.png	r1	manage	385.0 K	2017-05-02 - 00:02	JohnBradmillerFeld
pdf	zee.pdf	r1	manage	20.2 K	2017-05-09 - 14:09	TroyMulholland
png	zee.png	r1	manage	15.8 K	2017-05-09 - 14:10	TroyMulholland
pdf	zmm.pdf	r1	manage	20.2 K	2017-05-09 - 14:09	TroyMulholland
png	zmm.png	r1	manage	14.1 K	2017-05-09 - 14:10	TroyMulholland

Topic revision: r34 - 2019-08-08 - TribeniMishra

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