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

Figure Caption
Figure 1a : Background composition in zero-lepton search region (inclusive in and ) 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 GeV and 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 GeV and 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 GeV and 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 GeV and GeV.
Figure 2a : The lost-lepton background as a function of 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 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 . 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 . 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 lepton () response templates: distributions of the ratio of visible- to true-, , in intervals of as determined from a simulation of single decay events.
Figure 6a : Distributions of in background events with a hadronically decaying lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying 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 in background events with a hadronically decaying lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying 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 lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying 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 lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying 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 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 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 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 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 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 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 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 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 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 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 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 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-, inverted 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-, inverted control region.
Figure 10c : The distribution of the significance of deviation between the QCD prediction and inferred QCD count in the 174 inverted signal region bins. Here, the inferred QCD count is the observed count minus the predicted electroweak background count.
Figure 11a : Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.
Figure 11b : Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.
Figure 11c : Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.
Figure 12a: Distribution of vs. 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 vs. 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 vs. 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 control region with baseline selection applied.
Figure 13b: The dielectron invariant mass distribution of the control region with baseline selection applied.
Figure 14: Distribution of with baseline selection applied in the 46 search bins with . 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 . 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 versus . 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 versus . 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 versus . 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 versus . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.
Figure 17: Measured photon purity versus . 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

Figure Caption
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 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 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 .
Figure 19b : The same distributions shown in Add. Fig. 19a, with the pull for each bin, defined as , 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 .
Figure 19d : The same distributions shown in Add. Fig. 19c, with the pull for each bin, defined as , 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 .
Figure 19f : The same distributions shown in Add. Fig. 19e, with the pull for each bin, defined as , shown in the lower panel of the plot.

Figure Caption
Figure 20a : The same distributions shown in Fig. 11a in the body of the paper, with the pull for each bin, defined as , 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 , 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 , 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 , 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 , 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 , shown in the lower panel of the plot.

Figure Caption
Figure 21a : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T1tttt signal scenario with GeV and 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 , shown in the lower panel of the plot.
Figure 21c : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T1bbbb signal scenario with GeV and 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 , shown in the lower panel of the plot.
Figure 21e : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T1qqqq signal scenario with GeV and 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 , shown in the lower panel of the plot.
Figure 21g : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T2tt signal scenario with GeV and 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 , shown in the lower panel of the plot.
Figure 21i : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T2bb signal scenario with GeV and 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 , shown in the lower panel of the plot.
Figure 21k : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T2qq signal scenario with GeV and 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 , 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 , 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 , shown in the lower panel of the plot.

Event displays

Figure Caption
Figure 24a : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) view, (b) 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) view, (b) 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) view, (b) 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) view, (b) 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 Caption
Figure 25b : Event displays for a SUSY candidate dijet event with very high in the search region, 277194:1454:2573527294 in (a) view, (b) 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 25a : Event displays for a SUSY candidate dijet event with very high in the search region, 277194:1454:2573527294 in (a) view, (b) 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 in the search region, 277194:1454:2573527294 in (a) view, (b) 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 in the search region, 277194:1454:2573527294 in (a) view, (b) 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) view, (b) 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) view, (b) 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) view, (b) 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) view, (b) 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

Figure Caption
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 plane, for the signal model points in a pMSSM-19 scan [1]. For small 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.
Figure Caption
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 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.

Figure Caption
Figure 28a : Posterior density, computed using the methodology described in [1], in the plane of the pMSSM-19. The "counts-based" construction is used for computation of the likelihood. The peak in the posterior density at low 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 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

[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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png ExpVsCS_NBtag_baseline_Plot.png r2 r1 manage 16.6 K 2018-03-06 - 17:49 SimonThomasKurz
pdf ExpVsCS_NJets_baseline_Plot.pdf r2 r1 manage 17.3 K 2018-03-06 - 17:49 SimonThomasKurz
png ExpVsCS_NJets_baseline_Plot.png r2 r1 manage 18.1 K 2018-03-06 - 17:49 SimonThomasKurz
pdf ExpVsCS_search_baseline_Plot.pdf r2 r1 manage 51.2 K 2018-03-06 - 17:49 SimonThomasKurz
png ExpVsCS_search_baseline_Plot.png r2 r1 manage 27.9 K 2018-03-06 - 17:49 SimonThomasKurz
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
png T2qq-projection-pull.png r3 r2 r1 manage 395.9 K 2017-05-02 - 00:31 JohnBradmillerFeld
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
png bbbb-evt-2D-white.png r1 manage 109.6 K 2017-05-10 - 04:12 JohnBradmillerFeld
pdf bbbb-evt-2D.pdf r1 manage 92.9 K 2017-05-10 - 04:12 JohnBradmillerFeld
png bbbb-evt-2D.png r1 manage 108.3 K 2017-05-10 - 04:12 JohnBradmillerFeld
pdf bbbb-evt-3D-white.pdf r1 manage 206.0 K 2017-05-10 - 04:12 JohnBradmillerFeld
png bbbb-evt-3D-white.png r1 manage 207.3 K 2017-05-10 - 04:12 JohnBradmillerFeld
pdf bbbb-evt-3D.pdf r1 manage 207.4 K 2017-05-10 - 04:12 JohnBradmillerFeld
png bbbb-evt-3D.png r1 manage 211.5 K 2017-05-10 - 04:12 JohnBradmillerFeld
pdf dr-ht.pdf r2 r1 manage 16.0 K 2017-05-09 - 19:06 TroyMulholland Ordinate zoom for clarity.
png dr-ht.png r2 r1 manage 13.3 K 2017-05-09 - 19:10 TroyMulholland Ordinate zoom for clarity.
pdf dr-mht.pdf r2 r1 manage 15.7 K 2017-05-09 - 19:06 TroyMulholland Ordinate zoom for clarity.
png dr-mht.png r2 r1 manage 14.5 K 2017-05-09 - 19:10 TroyMulholland Ordinate zoom for clarity.
pdf dr-nj.pdf r2 r1 manage 15.8 K 2017-05-09 - 19:06 TroyMulholland Ordinate zoom for clarity.
png dr-nj.png r2 r1 manage 13.2 K 2017-05-09 - 19:10 TroyMulholland Ordinate zoom for clarity.
pdf high-MHT-evt-2D-white.pdf r1 manage 86.8 K 2017-05-10 - 04:12 JohnBradmillerFeld
png high-MHT-evt-2D-white.png r1 manage 101.4 K 2017-05-10 - 04:12 JohnBradmillerFeld
pdf high-MHT-evt-2D.pdf r1 manage 85.2 K 2017-05-10 - 04:12 JohnBradmillerFeld
png high-MHT-evt-2D.png r1 manage 99.6 K 2017-05-10 - 04:12 JohnBradmillerFeld
pdf high-MHT-evt-3D-white.pdf r1 manage 231.9 K 2017-05-10 - 04:12 JohnBradmillerFeld
png high-MHT-evt-3D-white.png r1 manage 224.3 K 2017-05-10 - 04:12 JohnBradmillerFeld
pdf high-MHT-evt-3D.pdf r1 manage 229.5 K 2017-05-10 - 04:12 JohnBradmillerFeld
png high-MHT-evt-3D.png r1 manage 226.2 K 2017-05-10 - 04:12 JohnBradmillerFeld
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
png photontPurity_MHT.png r4 r3 r2 r1 manage 26.9 K 2017-05-15 - 19:49 AndrewWhitbeck
pdf rands-closure-btags.pdf r4 r3 r2 r1 manage 16.1 K 2017-05-20 - 15:23 SamBein
png rands-closure-btags.png r2 r1 manage 65.1 K 2017-05-05 - 15:01 SamBein
pdf rands-closure-dphi1.pdf r3 r2 r1 manage 17.2 K 2017-05-05 - 15:01 SamBein
png rands-closure-dphi1.png r3 r2 r1 manage 65.6 K 2017-05-05 - 15:01 SamBein
pdf rands-closure-dphi2.pdf r3 r2 r1 manage 17.2 K 2017-05-05 - 15:01 SamBein
png rands-closure-dphi2.png r3 r2 r1 manage 65.6 K 2017-05-05 - 15:01 SamBein
pdf rands-closure-dphi3.pdf r3 r2 r1 manage 17.2 K 2017-05-05 - 15:01 SamBein
png rands-closure-dphi3.png r3 r2 r1 manage 64.4 K 2017-05-05 - 15:01 SamBein
pdf rands-closure-dphi4.pdf r3 r2 r1 manage 17.3 K 2017-05-05 - 15:01 SamBein
png rands-closure-dphi4.png r3 r2 r1 manage 63.7 K 2017-05-05 - 15:01 SamBein
pdf rands-closure-ht.pdf r3 r2 r1 manage 25.8 K 2017-05-05 - 15:01 SamBein
png rands-closure-ht.png r3 r2 r1 manage 69.1 K 2017-05-05 - 15:01 SamBein
pdf rands-closure-mht.pdf r3 r2 r1 manage 20.2 K 2017-05-05 - 15:01 SamBein
png rands-closure-mht.png r3 r2 r1 manage 71.7 K 2017-05-05 - 15:01 SamBein
pdf rands-closure-njets.pdf r3 r2 r1 manage 16.5 K 2017-05-05 - 15:01 SamBein
png rands-closure-njets.png r3 r2 r1 manage 63.0 K 2017-05-05 - 15:01 SamBein
pdf results-plot-prefit-12-asrs-35_9-log-pull.pdf r1 manage 16.7 K 2017-05-04 - 21:12 JohnBradmillerFeld
png results-plot-prefit-12-asrs-35_9-log-pull.png r1 manage 249.6 K 2017-05-04 - 21:12 JohnBradmillerFeld
pdf results-plot-prefit-35_9_pre_app-log-pull.pdf r1 manage 35.2 K 2017-05-04 - 21:12 JohnBradmillerFeld
png results-plot-prefit-35_9_pre_app-log-pull.png r1 manage 430.6 K 2017-05-04 - 21:12 JohnBradmillerFeld
pdf rzg.pdf r1 manage 17.5 K 2017-05-09 - 14:09 TroyMulholland
png rzg.png r1 manage 16.7 K 2017-05-09 - 14:10 TroyMulholland
pdf sr-ht.pdf r2 r1 manage 15.7 K 2017-05-09 - 19:06 TroyMulholland Ordinate zoom for clarity.
png sr-ht.png r2 r1 manage 15.1 K 2017-05-09 - 19:10 TroyMulholland Ordinate zoom for clarity.
pdf sr-mht.pdf r2 r1 manage 15.5 K 2017-05-09 - 19:06 TroyMulholland Ordinate zoom for clarity.
png sr-mht.png r2 r1 manage 15.1 K 2017-05-09 - 19:10 TroyMulholland Ordinate zoom for clarity.
pdf sr-nj.pdf r2 r1 manage 15.7 K 2017-05-09 - 19:06 TroyMulholland Ordinate zoom for clarity.
png sr-nj.png r2 r1 manage 14.2 K 2017-05-09 - 19:10 TroyMulholland Ordinate zoom for clarity.
pdf supMoriondLdpBtags_HTMHT3.pdf r3 r2 r1 manage 15.3 K 2017-05-05 - 15:01 SamBein
png supMoriondLdpBtags_HTMHT3.png r3 r2 r1 manage 45.5 K 2017-05-05 - 15:47 SamBein
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

This topic: CMSPublic > PhysicsResults > PhysicsResultsSUS > PhysicsResultsSUS16033-PAPER
Topic revision: r34 - 2019-08-08 - TribeniMishra1

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