# Search for gluino-mediated bottom- and top-squark production in pp collisions at 8 TeV

## Publication

The manuscript has been submitted to Physics Letters B as arXiv:1305.2390 for publication.

## Abstract

A search for supersymmetry is presented based on events with large missing transverse energy, no isolated electron or muon, and at least three jets, with one or more identified as a bottom-quark jet. A simultaneous examination is performed of the numbers of events in exclusive bins of the scalar sum of jet transverse momentum values, missing transverse energy, and bottom-quark jet multiplicity. The sample, corresponding to an integrated luminosity of 19.4 , consists of proton-proton collision data recorded at a center-of-mass energy of 8 TeV with the CMS detector at the LHC in 2012. The observed numbers of events are found to be consistent with the standard model expectation, which is evaluated with control samples in data. The results are interpreted in the context of two simplified supersymmetric scenarios in which gluino pair production is followed by the decay of each gluino to an undetected lightest supersymmetric particle and either a bottom or top quark-antiquark pair, characteristic of gluino mediated bottom- or top-squark production. Using the production cross section calculated to next-to-leading-order plus next-to-leading-logarithm accuracy, and in the limit of a massless lightest supersymmetric particle, we exclude gluinos with masses below 1170 GeV and 1020 GeV for the two scenarios, respectively.

## Tables and Plots from the paper

• Click on plot to get .pdf
• "right click->save image as" to get .png

### Likelihood fit schematic diagram

Figure Caption
Figure 2. Schematic diagram illustrating the 176 mutually exclusive bins in the analysis. The MET and HT distributions are divided into four bins each; the table gives the bin definitions. The designations HT and MET () are used to label the individual HT and MET bins. The Nb-jet distributions of the signal sample (ZL), top-quark and W+jets control sample (SL), and QCD multijet control sample (LDP), contain three bins each, corresponding to exactly one, exactly two, and three or more identified b jets.

### Results and interpretation

 Table 1. Observed numbers of events, SM background estimates from the fit, and SM expectations from Monte Carlo simulation, for the signal (ZL) regions with MET > 350 GeV and Nb-jet = 2. The labels HT2, HT3, and HT4 refer to the bins of HT indicated in the first figure on this twiki, while HT2-4 is the sum over the three bins. The bottom row presents the SM background estimates from the sideband fit described in the text. The uncertainties listed for the fit results include the statistical and systematic components, while those shown for the simulation are statistical only. For the fits, the SUSY signal strength is fixed to zero. Table 2. Observed numbers of events, SM background estimates from the fit, and SM expectations from Monte Carlo simulation, for the signal (ZL) regions with MET >150 GeV and Nb-jet >= 3. The labels HT1, HT2, MET2, etc., refer to the bins of HT and MET indicated in the first figure on this twiki, while HT1-4 (MET2-4) is the sum over the four HT (three MET) bins. The HT1-MET4 bin is excluded from the analysis, as explained in the text. The bottom section presents the SM background estimates from the sideband fit described in the text. The uncertainties listed for the fit results include the statistical and systematic components, while those shown for the simulation are statistical only. For the fits, the SUSY signal strength is fixed to zero. Figure 6. Observed numbers of events (points with error bars) for the 14 bins with highest signal sensitivity in the analysis, in comparison with the standard model background predictions (with total uncertainties shown by the hatched bands) found in the fit with SUSY signal strength fixed to zero. The labels HT1, HT2, MET2, etc., refer to the bins of HT and MET indicated in the first figure on this twiki. Figure 7 (left). The 95 % CL upper limits on the T1bbbb new-physics scenario cross sections (pb) derived using the CLs method. The solid (black) contours show the observed exclusions assuming the NLO+NLL cross sections, along with the +/- 1 standard deviation theory uncertainties. The dashed (red) contours present the corresponding expected results, along with the +/- 1 standard deviation experimental uncertainties. The root macro that can be used to reproduce the plot is T1bbbb_exclusions_corrected.C. Figure 7 (right). The 95 % CL upper limits on the T1tttt new-physics scenario cross sections (pb) derived using the CLs method. The solid (black) contours show the observed exclusions assuming the NLO+NLL cross sections, along with the +/- 1 standard deviation theory uncertainties. The dashed (red) contours present the corresponding expected results, along with the +/- 1 standard deviation experimental uncertainties. The root macro that can be used to reproduce the plot is T1tttt_exclusion_corrected.C.

### Comparisons of data and simulation

 Figure 3 (top left). Data and Monte Carlo distributions of the number Nb-jet of b-tagged jets for the signal (ZL) sample. The lower panes show the ratio of the measured to the simulated events. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text. Figure 3 (top middle). Data and Monte Carlo distributions of the number Nb-jet of b-tagged jets for the top-quark and W+jets (SL) control sample. The lower panes show the ratio of the measured to the simulated events. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text. Figure 3 (top right). Data and Monte Carlo distributions of the number Nb-jet of b-tagged jets for the QCD multijet (LDP) control sample. The lower panes show the ratio of the measured to the simulated events. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text. Figure 3 (center left). Data and Monte Carlo distributions of MET for the signal (ZL) sample for events with Nb-jet >= 3. The lower panes show the ratio of the measured to the simulated events. The dashed vertical lines indicate the divisions between the four bins of MET. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text. Figure 3 (center center). Data and Monte Carlo distributions of MET for the top-quark and W+jets (SL) control sample for events with Nb-jet >= 3. The lower panes show the ratio of the measured to the simulated events. The dashed vertical lines indicate the divisions between the four bins of MET. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text. Figure 3 (center right). Data and Monte Carlo distributions of MET for the QCD multijet (LDP) control sample for events with Nb-jet >= 3. The lower panes show the ratio of the measured to the simulated events. The dashed vertical lines indicate the divisions between the four bins of MET. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text. Figure 3 (bottom left). Data and Monte Carlo distributions of HT for the signal (ZL) sample for events with Nb-jet >= 3. The lower panes show the ratio of the measured to the simulated events. The dashed vertical lines indicate the divisions between the four bins of HT. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text. Figure 3 (bottom center). Data and Monte Carlo distributions of HT for the top-quark and W+jets (SL) control sample for events with Nb-jet >= 3. The lower panes show the ratio of the measured to the simulated events. The dashed vertical lines indicate the divisions between the four bins of HT. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text. Figure 3 (bottom right). Data and Monte Carlo distributions of HT for the QCD multijet (LDP) control sample for events with Nb-jet >= 3. The lower panes show the ratio of the measured to the simulated events. The dashed vertical lines indicate the divisions between the four bins of HT. The simulated results are intended for guidance and are not used in the analysis. Results for the T1bbbb scenario with (m, m)=(600 GeV, 500 GeV) and (1225 GeV, 150 GeV) are shown as unstacked distributions. The uncertainties are statistical only. The normalization of the simulated curves is based on the absolute cross sections, as described in the text.

### Estimate of top+W background

 Figure 4. [left] Ratio of the number of events in the zero-lepton (ZL) sample to that in the single-lepton (SL) sample for simulated top-quark and W+jets events in the 16 HT-MET bins with Nb-jet = 1, divided by the average ratio value over the 16 bins. The leftmost group of four consecutive points corresponds to MET bin 1 (MET1) of the table in the first figure on this twiki, the next-leftmost group to MET bin 2 (MET2), etc. The four points within each group correspond to the four HT bins in the table, increasing in HT value from left to right (HT1 to HT4). The inner (outer) error bars show the statistical (combined statistical and systematic) uncertainties. [center and right] The corresponding results for Nb-jet = 2 and Nb-jet >= 3.

### Estimate of QCD background

 Figure 5. Ratio of the number of events in the zero-lepton (ZL) sample to that in the low- (LDP) sample for simulated QCD multijet events. The definitions of the bins are the same as in the above figure. Various QCD multijet samples, with different choices for the hardness scale () of the interaction, are combined. The points show the averages over those samples. The inner error bars indicate the statistical uncertainties. The outer error bars indicate the statistical uncertainties added in quadrature with the root-mean-squared values over the different samples. The histogram shows the results of the fitted parameterization described in the text. The corresponding ratio divided by the parameterization from the top row. The inner (black) and outer (blue) error bars indicate the statistical and combined statistical-and-systematic uncertainties, respectively.

• Click on plot to get .pdf
• "right click->save image as" to get .png

### Results of sideband fit

In addition to the full fit, it is interesting to perform the likelihood fit with the Poisson PDF terms for the 14 bins with the highest signal sensitivity removed, in order to ascertain the data-based SM background prediction when the data in these bins do not affect the result. We call such a fit the sideband'' fit.

 SM background estimates from the sideband fit for events with MET > 350 GeV and number of b jets = 2. The labels HT2, HT3, and HT4 refer to the bins of HT indicated in the schematic above (first figure on this twiki), while HT2-4 is the sum over the three bins

 SM background estimates from the sideband fit for events with MET > 150 GeV and number of b jets ≥ 3. The labels HT1, HT2, MET2, etc., refer to the bins of HT and MET indicated in the schematic above (first figure on this twiki). HT1-4 (MET2-4) refers to the sum over the four HT (three MET) bins. The HT1-MET4 bin is excluded from the analysis. Please see Section 5.6 of our PAS for more details

 Observed number of events (points with error bars) for the 14 bins with highest signal sensitivity in the analysis. The dark- and light-shaded bands indicate the ±1 and ±2 standard deviation intervals, respectively, for the SM background estimates from the sideband fit.

### Efficiencies

 T1bbbb selection efficiencies. In the root file efficiency_T1bbbb_multi.root we provide not only the histogram for the total 0-lepton efficiency ("heff_tot"), but also the histograms of the efficiency in every 0-lepton bin of the analysis ("heff_METx_HTy_nBz" - the boundaries of the (MET,HT,nB) bins are specified in the title of the root histogram). The plotted points reflect the density of the scan used to determine the efficiencies. T1tttt selection efficiencies. In the root file efficiency_T1tttt_multi.root we provide not only the histogram for the total 0-lepton efficiency ("heff_tot"), but also the histograms of the efficiency in every 0-lepton bin of the analysis ("heff_METx_HTy_nBz" - the boundaries of the (MET,HT,nB) bins are specified in the title of the root histogram). The plotted points reflect the density of the scan used to determine the efficiencies.

### Event Displays

Event displays are included for a couple events, each presented in a rho-phi and 3D view, and with black and white background.

 Event 61509469, rho-phi view, black background

 Event 61509469, rho-phi view, black background, alternative color scheme

 Event 61509469, rho-phi view, white background

 Event 61509469, 3D view, black background

 Event 61509469, 3D view, black background, alternative color scheme

 Event 61509469, 3D view, white background

 Event 94548608, rho-phi view, black background

 Event 94548608, rho-phi view, black background, alternative color scheme

 Event 94548608, rho-phi view, white background

 Event 94548608, 3D view, black background

 Event 94548608, 3D view, black background, alternative color scheme

 Event 94548608, 3D view, white background

### Simplified models

The concept of "simplified models" is described here and here. The purpose is to link the LHC experiments and the theory communities interested in interpreting LHC data.

Figure Caption
Simplified model topology "T1bbbb".
Simplified model topology "T1tttt".
Simplified model topologies "T5tttt" and "T1t1t".
Simplified model topology "T7btW".

### Interpretation of the results with additional simplified models

#### T7btw, m(chi+) = 150 GeV

Figure Caption
Acceptance x selection efficiency (for the zero-lepton sample) on the T7btw simplified model, with m(chi+) = 150 GeV, as a function of the mass of the gluino (x axis) and the mass of the sbottom (y axis). The root macro that can be used to reproduce this plot is T7btwmChi150_eff_RA2bXSEC.C.
The 95 % CL upper limits on the T7btw simplified model (with m(chi+) = 150 GeV) cross sections (pb) derived using the CLs method. The solid (black) contours show the observed exclusions assuming the NLO+NLL cross sections, along with the +/- 1 standard deviation theory uncertainties. The dashed (red) contours present the corresponding expected results, along with the +/- 1 standard deviation experimental uncertainties. The root macro that can be used to reproduce this plot is T7btwmChi150RA2bXSEC.C.

#### T7btw, m(chi+) = 300 GeV

Figure Caption
Acceptance x selection efficiency (for the zero-lepton sample) on the T7btw simplified model, with m(chi+) = 300 GeV, as a function of the mass of the gluino (x axis) and the mass of the sbottom (y axis). The root macro that can be used to reproduce this plot is T7btwmChi300_eff_RA2bXSEC.C.
The 95 % CL upper limits on the T7btw simplified model (with m(chi+) = 300 GeV) cross sections (pb) derived using the CLs method. The solid (black) contours show the observed exclusions assuming the NLO+NLL cross sections, along with the +/- 1 standard deviation theory uncertainties. The dashed (red) contours present the corresponding expected results, along with the +/- 1 standard deviation experimental uncertainties. The root macro that can be used to reproduce this plot is T7btwmChi300RA2bXSEC.C.

#### T5tttt

Figure Caption
Acceptance x selection efficiency (for the zero-lepton sample) on the T5tttt simplified model as a function of the mass of the gluino (x axis) and the mass of the stop (y axis). The mass of the neutralino is fixed to 50 GeV. The root macro that can be used to reproduce this plot is T5tttt_eff_RA2bXSEC.C.
The 95 % CL upper limits on the T5tttt simplified model cross sections (pb) derived using the CLs method. The solid (black) contours show the observed exclusions assuming the NLO+NLL cross sections, along with the +/- 1 standard deviation theory uncertainties. The dashed (red) contours present the corresponding expected results, along with the +/- 1 standard deviation experimental uncertainties. Cross section limits are presented for m(g ̃) - m(t ̃) > 200 GeV to ensure on-shell top quarks in the final state. As the t ̃ mass decreases with fixed χ ̃01 mass, the χ ̃01 momentum in the t ̃ rest frame decreases. This results in less MET in the event, and thus less sensitivity in this search. The root macro that can be used to reproduce this plot is T5ttttRA2bXSEC.C.

#### T1t1t

Figure Caption
Acceptance x selection efficiency (for the zero-lepton sample) on the T1t1t simplified model as a function of the mass of the stop (x axis) and the mass of the neutralino (y axis). The mass of the gluino is fixed to 1000 GeV. The root macro that can be used to reproduce this plot is T1t1t_eff_RA2bXSEC.C.
The 95 % CL upper limits on the T1t1t simplified model cross sections (pb) derived using the CLs method. The solid (black) contours show the observed exclusions assuming the NLO+NLL cross sections, along with the +/- 1 standard deviation theory uncertainties. The dashed (red) contours present the corresponding expected results, along with the +/- 1 standard deviation experimental uncertainties. Cross section limits are presented for m(t ̃) - m( χ ̃01) > 100 GeV to ensure on-shell W bosons from the top decay. As the stop mass decreases with fixed χ ̃01 mass, the χ ̃01 momentum in the t ̃ rest frame decreases. This results in less MET in the event, and thus less sensitivity in this search. The root macro that can be used to reproduce this plot is T1t1tRA2bXSEC.C.

### Interpretation of the results within the pMSSM framework

#### Introduction

We show results of a phenomenological MSSM interpretation of the 8 TeV HT + MET + b-jets analysis SUS-12-024.

We follow the approach of the phenomenological MSSM interpretation of 7 TeV CMS results, documented in the approved PAS SUS-12-030: About 7300 points in pMSSM parameter space are sampled from an evidence-based prior probability density, based on theoretical predictions and measurements of flavour observables, Higgs mass, top mass, bottom mass and anomalous magnetic moment of the muon. For each pMSSM point theta we calculate the likelihood L(SUS-12-024|theta).

Results are presented as distributions of pMSSM parameters, masses and other observables, in two ways:

1. A fully Bayesian approach: the prior distribution is compared to the posterior distribution including the SUS-12-024 data. The prior distribution is simply the distribution of the 7300 pMSSM points. The posterior distribution is obtained by weighting each of the 7300 pMSSM points with L(SUS-12-024|theta). Posterior and prior distribution are normalized to one.
2. excluded vs not excluded: we compare the distribution of the 7300 pMSSM points to the distribution of those pMSSM points that are excluded by SUS-12-024 and the distribution of those points not excluded by SUS-12-024. A pMSSM point is considered excluded if Z = sign(ln(B_10))sqrt(2*|ln B_10|) < -1.64, with B_10 = L(SUS-12-024|theta)/L(SUS-12-024|H_0), where L(SUS-12-024|H_0) is the likelihood for the background only hypothesis H_0. Z is a signed analog of the frequentist "n-sigma".

#### Fully Bayesian approach

Figure Caption
Marginalized 1D probability distributions for ~g mass. The filled blue histogram shows the prior density. The line histograms show posterior densities after including the HT + MET + b-jets analysis. The solid curve shows the posterior density obtained from likelihoods calculated using the central values of estimated signal counts s, whereas the dashed and dotted lines show the posterior densities obtained from likelihoods calculated using s-0.5s and s+0.5s respectively.

Marginalized 1D probability distributions for ~b1 mass. The filled blue histogram shows the prior density. The line histograms show posterior densities after including the HT + MET + b-jets analysis. The solid curve shows the posterior density obtained from likelihoods calculated using the central values of estimated signal counts s, whereas the dashed and dotted lines show the posterior densities obtained from likelihoods calculated using s-0.5s and s+0.5s respectively.

Marginalized 1D probability distributions for the mass of the lightest colored sparticle. The filled blue histogram shows the prior density. The line histograms show posterior densities after including the HT + MET + b-jets analysis. The solid curve shows the posterior density obtained from likelihoods calculated using the central values of estimated signal counts s, whereas the dashed and dotted lines show the posterior densities obtained from likelihoods calculated using s-0.5s and s+0.5s respectively.

Marginalized 1D probability distributions for sparticle production cross section. The filled blue histogram shows the prior density. The line histograms show posterior densities after including the HT + MET + b-jets analysis. The solid curve shows the posterior density obtained from likelihoods calculated using the central values of estimated signal counts s, whereas the dashed and dotted lines show the posterior densities obtained from likelihoods calculated using s-0.5s and s+0.5s respectively.

Marginalized prior probability distribution for ~g mass versus ~χ10 mass. The grey and black contours enclose the 68% and 95% Bayesian credible regions respectively.

Marginalized posterior probability distribution for ~g mass versus ~χ10 mass after including the HT + MET + b-jets analysis. The grey and black contours enclose the 68% and 95% Bayesian credible regions respectively.

Marginalized prior probability distribution for ~b1 mass versus ~χ10 mass. The grey and black contours enclose the 68% and 95% Bayesian credible regions respectively.

Marginalized posterior probability distribution for ~b1 mass versus ~χ10 mass after including the HT + MET + b-jets analysis. The grey and black contours enclose the 68% and 95% Bayesian credible regions respectively.

#### Excluded vs not-excluded

Figure Caption
Distributions of ~g mass. The filled blue histogram shows the distribution of pMSSM points samped from the prior density. The red (black) line histograms shows the distribution of pMSSM points not excluded (excluded) by the HT + MET + b-jets analysis. Solid curves show the posterior densities obtained from likelihoods calculated using the central values of estimated signal counts $s$, whereas the dashed and dotted lines show the posterior densities obtained from likelihoods calculated using s-0.5s and s+0.5s respectively.

Distributions of ~b1 mass. The filled blue histogram shows the distribution of pMSSM points samped from the prior density. The red (black) line histograms shows the distribution of pMSSM points not excluded (excluded) by the HT + MET + b-jets analysis. Solid curves show the posterior densities obtained from likelihoods calculated using the central values of estimated signal counts $s$, whereas the dashed and dotted lines show the posterior densities obtained from likelihoods calculated using s-0.5s and s+0.5s respectively.

Distributions of the mass of the lightest colored sparticle. The filled blue histogram shows the distribution of pMSSM points samped from the prior density. The red (black) line histograms shows the distribution of pMSSM points not excluded (excluded) by the HT + MET + b-jets analysis. Solid curves show the posterior densities obtained from likelihoods calculated using the central values of estimated signal counts $s$, whereas the dashed and dotted lines show the posterior densities obtained from likelihoods calculated using s-0.5s and s+0.5s respectively.

Distributions of the sparticle cross section. The filled blue histogram shows the posterior densities after preCMS measurements. The filled blue histogram shows the distribution of pMSSM points samped from the prior density. The red (black) line histograms shows the distribution of pMSSM points not excluded (excluded) by the HT + MET + b-jets analysis. Solid curves show the posterior densities obtained from likelihoods calculated using the central values of estimated signal counts $s$, whereas the dashed and dotted lines show the posterior densities obtained from likelihoods calculated using s-0.5s and s+0.5s respectively.

Distribution of ~g mass versus ~χ10 mass for the sampled pMSSM points excluded by the HT + MET + b-jets analysis. The grey and black contours enclose the 68% and 95% of the excluded points.

Distribution of ~g mass versus ~χ10 mass for the sampled pMSSM points non excluded by the HT + MET + b-jets analysis. The grey and black contours enclose 68% and 95% of the non-excluded points.

Distribution of ~b1 mass versus ~χ10 mass for the sampled pMSSM points excluded by the HT + MET + b-jets analysis. The grey and black contours enclose the 68% and 95% of the excluded points.

Distribution of ~b1 mass versus ~χ10 mass for the sampled pMSSM points not excluded by the HT + MET + b-jets analysis. The grey and black contours enclose the 68% and 95% of the non-excluded points.

### Interpretation of the results with simplified models with Higgs

#### Schematic view of the simplified models

Figure Formats Caption
pdf, png Figure: Diagrams representing the T5Wh simplified model: Gluino pair production with , , and , .
pdf, png Figure: Diagrams representing the T5hh simplified model: Gluino pair production with , .

#### T5Wh

Figure Formats Caption
pdf, png Signal efficiency for the T5Wh simplified model, as a function of the mass of the gluino (x axis) and the mass of the neutralino 1 (y axis).
pdf, png The 95 % CL upper limits on the T5Wh simplified model cross sections (pb) derived using the toy CLs method. The solid (black) contours show the observed exclusions, along with the +/- 1 standard deviation theory uncertainties. The dashed (red) contours present the corresponding expected results, along with the +/- 1 standard deviation experimental uncertainties.

#### T5hh

Figure Formats Caption
pdf, png Signal efficiency for the T5hh simplified model, as a function of the mass of the gluino (x axis) and the mass of the neutralino 1 (y axis).
pdf, png The 95 % CL upper limits on the T5Wh simplified model cross sections (pb) derived using the toy CLs method. The solid (black) contours show the observed exclusions, along with the +/- 1 standard deviation theory uncertainties. The dashed (red) contours present the corresponding expected results, along with the +/- 1 standard deviation experimental uncertainties.

Figure Formats Caption
pdf, png Signal efficiency without the MET cut for the T5Wh simplified model, as a function of the mass of the gluino (x axis) and the mass of the neutralino 1 (y axis).
pdf, png Signal efficiency without the minDeltaPhiN cut for the T5Wh simplified model, as a function of the mass of the gluino (x axis) and the mass of the neutralino 1 (y axis).
pdf, png Signal efficiency without either the MET or the minDeltaPhiN cuts for the T5Wh simplified model, as a function of the mass of the gluino (x axis) and the mass of the neutralino 1 (y axis).
pdf, png Number of reconstructed jets of 50 GeV for the T5Wh signal with a gluino mass of 1 TeV and various LSP masses.
pdf, png MET distribution for the T5Wh signal with a gluino mass of 1 TeV and various LSP masses.
pdf, png minDeltaPhiN distribution for the T5Wh signal with a gluino mass of 1 TeV and various LSP masses.
pdf, png HT distribution for the T5hh signal with a gluino mass of 1 TeV and various LSP masses.
Topic attachments
I Attachment History Action Size Date Who Comment
pdf 615309469_3D_black.pdf r1 manage 158.3 K 2013-05-15 - 19:13 KeithUlmer
png 615309469_3D_black.png r1 manage 184.3 K 2013-05-15 - 19:13 KeithUlmer
pdf 615309469_3D_newScheme.pdf r1 manage 187.1 K 2013-05-15 - 19:13 KeithUlmer
png 615309469_3D_newScheme.png r1 manage 258.5 K 2013-05-15 - 19:13 KeithUlmer
pdf 615309469_3D_white.pdf r1 manage 176.4 K 2013-05-15 - 19:13 KeithUlmer
png 615309469_3D_white.png r1 manage 217.4 K 2013-05-15 - 19:13 KeithUlmer
pdf 615309469_rhophi_black.pdf r1 manage 93.6 K 2013-05-15 - 19:13 KeithUlmer
png 615309469_rhophi_black.png r1 manage 109.3 K 2013-05-15 - 19:13 KeithUlmer
pdf 615309469_rhophi_newScheme.pdf r1 manage 93.3 K 2013-05-15 - 19:13 KeithUlmer
png 615309469_rhophi_newScheme.png r1 manage 118.5 K 2013-05-15 - 19:13 KeithUlmer
pdf 615309469_rhophi_white.pdf r1 manage 103.0 K 2013-05-15 - 19:12 KeithUlmer
png 615309469_rhophi_white.png r1 manage 119.0 K 2013-05-15 - 19:12 KeithUlmer
pdf 94548608_3D_black.pdf r1 manage 64.6 K 2013-05-15 - 19:12 KeithUlmer
png 94548608_3D_black.png r1 manage 82.5 K 2013-05-15 - 19:12 KeithUlmer
pdf 94548608_3D_newScheme.pdf r1 manage 109.8 K 2013-05-15 - 19:12 KeithUlmer
png 94548608_3D_newScheme.png r1 manage 150.3 K 2013-05-15 - 19:12 KeithUlmer
pdf 94548608_3D_white.pdf r1 manage 67.1 K 2013-05-15 - 19:12 KeithUlmer
png 94548608_3D_white.png r1 manage 83.5 K 2013-05-15 - 19:12 KeithUlmer
pdf 94548608_rhophi_black.pdf r1 manage 85.9 K 2013-05-15 - 19:11 KeithUlmer
png 94548608_rhophi_black.png r1 manage 97.8 K 2013-05-15 - 19:11 KeithUlmer
pdf 94548608_rhophi_newScheme.pdf r1 manage 62.5 K 2013-05-15 - 19:11 KeithUlmer
png 94548608_rhophi_newScheme.png r1 manage 84.1 K 2013-05-15 - 19:11 KeithUlmer
pdf 94548608_rhophi_white.pdf r1 manage 94.9 K 2013-05-15 - 19:11 KeithUlmer
png 94548608_rhophi_white.png r1 manage 106.7 K 2013-05-15 - 19:11 KeithUlmer
pdf SUS12024_excl_100_mb1_mz1.pdf r1 manage 15.0 K 2013-08-21 - 09:33 LukasVanelderen
png SUS12024_excl_100_mb1_mz1.png r1 manage 21.8 K 2013-08-21 - 09:33 LukasVanelderen
pdf SUS12024_excl_100_mg_mz1.pdf r1 manage 15.1 K 2013-08-21 - 09:33 LukasVanelderen
png SUS12024_excl_100_mg_mz1.png r1 manage 22.7 K 2013-08-21 - 09:33 LukasVanelderen
pdf SUS12024_llhd_100_mb1_mz1.pdf r1 manage 15.9 K 2013-08-21 - 09:32 LukasVanelderen
png SUS12024_llhd_100_mb1_mz1.png r1 manage 27.0 K 2013-08-21 - 09:32 LukasVanelderen
pdf SUS12024_llhd_100_mg_mz1.pdf r1 manage 15.9 K 2013-08-21 - 09:32 LukasVanelderen
png SUS12024_llhd_100_mg_mz1.png r1 manage 27.3 K 2013-08-21 - 09:32 LukasVanelderen
pdf SUS12024_llhd_massLightestColored.pdf r1 manage 13.6 K 2013-08-21 - 09:28 LukasVanelderen
png SUS12024_llhd_massLightestColored.png r1 manage 17.5 K 2013-08-21 - 09:28 LukasVanelderen
pdf SUS12024_llhd_mb1.pdf r1 manage 13.7 K 2013-08-21 - 09:28 LukasVanelderen
png SUS12024_llhd_mb1.png r1 manage 17.1 K 2013-08-21 - 09:28 LukasVanelderen
pdf SUS12024_llhd_mg.pdf r1 manage 13.6 K 2013-08-21 - 09:28 LukasVanelderen
png SUS12024_llhd_mg.png r1 manage 16.2 K 2013-08-21 - 09:28 LukasVanelderen
pdf SUS12024_llhd_xsect.pdf r1 manage 14.5 K 2013-08-21 - 09:28 LukasVanelderen
png SUS12024_llhd_xsect.png r1 manage 16.8 K 2013-08-21 - 09:28 LukasVanelderen
pdf SUS12024_simple_massLightestColored.pdf r1 manage 14.2 K 2013-08-21 - 09:29 LukasVanelderen
png SUS12024_simple_massLightestColored.png r1 manage 23.3 K 2013-08-21 - 09:29 LukasVanelderen
pdf SUS12024_simple_mb1.pdf r1 manage 14.5 K 2013-08-21 - 09:29 LukasVanelderen
png SUS12024_simple_mb1.png r1 manage 22.6 K 2013-08-21 - 09:29 LukasVanelderen
pdf SUS12024_simple_mg.pdf r1 manage 14.4 K 2013-08-21 - 09:29 LukasVanelderen
png SUS12024_simple_mg.png r1 manage 22.4 K 2013-08-21 - 09:29 LukasVanelderen
pdf SUS12024_simple_xsect.pdf r1 manage 15.0 K 2013-08-21 - 09:29 LukasVanelderen
png SUS12024_simple_xsect.png r1 manage 22.2 K 2013-08-21 - 09:29 LukasVanelderen
pdf SUS12024_surv_100_mb1_mz1.pdf r1 manage 15.9 K 2013-08-21 - 09:33 LukasVanelderen
png SUS12024_surv_100_mb1_mz1.png r1 manage 25.9 K 2013-08-21 - 09:33 LukasVanelderen
pdf SUS12024_surv_100_mg_mz1.pdf r1 manage 15.5 K 2013-08-21 - 09:33 LukasVanelderen
png SUS12024_surv_100_mg_mz1.png r1 manage 24.0 K 2013-08-21 - 09:33 LukasVanelderen
pdf T1bbbb.pdf r1 manage 95.1 K 2013-05-15 - 19:11 KeithUlmer
png T1bbbb.png r1 manage 28.9 K 2013-05-15 - 19:11 KeithUlmer
pdf T1bbbb_efficiency.pdf r1 manage 21.7 K 2013-05-20 - 17:50 KeithUlmer
png T1bbbb_efficiency.png r1 manage 14.4 K 2013-05-20 - 17:50 KeithUlmer
c T1bbbb_exclusions_corrected.C r2 r1 manage 114.7 K 2013-07-21 - 08:04 AlessandroGaz
pdf T1bbbb_exclusions_corrected.pdf r1 manage 30.0 K 2013-05-15 - 19:10 KeithUlmer
png T1bbbb_exclusions_corrected.png r1 manage 222.8 K 2013-05-15 - 19:10 KeithUlmer
c T1t1tRA2bXSEC.C r2 r1 manage 57.3 K 2014-05-16 - 12:18 AlessandroGaz
pdf T1t1tRA2bXSEC.pdf r2 r1 manage 22.4 K 2014-05-16 - 12:18 AlessandroGaz
png T1t1tRA2bXSEC.png r2 r1 manage 27.6 K 2014-05-16 - 12:18 AlessandroGaz
c T1t1t_eff_RA2bXSEC.C r2 r1 manage 22.9 K 2014-05-16 - 12:18 AlessandroGaz
pdf T1t1t_eff_RA2bXSEC.pdf r2 r1 manage 16.4 K 2014-05-16 - 12:18 AlessandroGaz
png T1t1t_eff_RA2bXSEC.png r2 r1 manage 15.9 K 2014-05-16 - 12:18 AlessandroGaz
pdf T1tttt.pdf r1 manage 75.0 K 2013-05-15 - 19:10 KeithUlmer
png T1tttt.png r1 manage 28.0 K 2013-05-15 - 19:10 KeithUlmer
pdf T1tttt_efficiency.pdf r1 manage 18.8 K 2013-05-20 - 17:50 KeithUlmer
png T1tttt_efficiency.png r1 manage 13.9 K 2013-05-20 - 17:50 KeithUlmer
c T1tttt_exclusion_corrected.C r2 r1 manage 102.0 K 2013-07-19 - 15:03 AlessandroGaz
pdf T1tttt_exclusions_corrected.pdf r2 r1 manage 28.0 K 2013-07-19 - 15:03 AlessandroGaz
png T1tttt_exclusions_corrected.png r2 r1 manage 67.2 K 2013-07-19 - 15:03 AlessandroGaz
pdf T5Wh.pdf r1 manage 44.5 K 2014-10-23 - 15:32 KeithUlmer
png T5Wh.png r1 manage 142.5 K 2014-10-23 - 15:32 KeithUlmer
pdf T5Whlimits.pdf r1 manage 16.8 K 2014-10-23 - 15:32 KeithUlmer
png T5Whlimits.png r1 manage 37.0 K 2014-10-23 - 15:32 KeithUlmer
pdf T5hh.pdf r1 manage 8.3 K 2014-10-23 - 15:30 KeithUlmer
png T5hh.png r1 manage 37.1 K 2014-10-23 - 15:30 KeithUlmer
pdf T5hhlimits.pdf r1 manage 17.6 K 2014-10-23 - 15:30 KeithUlmer
png T5hhlimits.png r1 manage 37.5 K 2014-10-23 - 15:30 KeithUlmer
pdf T5tttt.pdf r1 manage 14.3 K 2013-09-09 - 13:21 AlessandroGaz
png T5tttt.png r1 manage 5.8 K 2013-09-09 - 13:21 AlessandroGaz
c T5ttttRA2bXSEC.C r2 r1 manage 62.2 K 2014-05-16 - 12:20 AlessandroGaz
pdf T5ttttRA2bXSEC.pdf r2 r1 manage 23.2 K 2014-05-16 - 12:20 AlessandroGaz
png T5ttttRA2bXSEC.png r2 r1 manage 28.0 K 2014-05-16 - 12:20 AlessandroGaz
c T5tttt_eff_RA2bXSEC.C r2 r1 manage 26.5 K 2014-05-16 - 12:20 AlessandroGaz
pdf T5tttt_eff_RA2bXSEC.pdf r2 r1 manage 17.0 K 2014-05-16 - 12:20 AlessandroGaz
png T5tttt_eff_RA2bXSEC.png r2 r1 manage 16.6 K 2014-05-16 - 12:20 AlessandroGaz
pdf T7btW.pdf r1 manage 14.4 K 2013-09-09 - 13:21 AlessandroGaz
png T7btW.png r1 manage 18.0 K 2013-09-09 - 13:21 AlessandroGaz
c T7btwmChi150RA2bXSEC.C r2 r1 manage 74.5 K 2014-05-16 - 12:16 AlessandroGaz
pdf T7btwmChi150RA2bXSEC.pdf r2 r1 manage 24.3 K 2014-05-16 - 12:16 AlessandroGaz
png T7btwmChi150RA2bXSEC.png r2 r1 manage 26.6 K 2014-05-16 - 12:16 AlessandroGaz
c T7btwmChi150_eff_RA2bXSEC.C r2 r1 manage 36.2 K 2014-05-16 - 12:16 AlessandroGaz
pdf T7btwmChi150_eff_RA2bXSEC.pdf r2 r1 manage 18.5 K 2014-05-16 - 12:16 AlessandroGaz
png T7btwmChi150_eff_RA2bXSEC.png r2 r1 manage 15.9 K 2014-05-16 - 12:16 AlessandroGaz
c T7btwmChi300RA2bXSEC.C r2 r1 manage 69.6 K 2014-05-16 - 12:18 AlessandroGaz
pdf T7btwmChi300RA2bXSEC.pdf r2 r1 manage 24.6 K 2014-05-16 - 12:18 AlessandroGaz
png T7btwmChi300RA2bXSEC.png r2 r1 manage 28.4 K 2014-05-16 - 12:18 AlessandroGaz
c T7btwmChi300_eff_RA2bXSEC.C r2 r1 manage 32.3 K 2014-05-16 - 12:18 AlessandroGaz
pdf T7btwmChi300_eff_RA2bXSEC.pdf r2 r1 manage 18.9 K 2014-05-16 - 12:18 AlessandroGaz
png T7btwmChi300_eff_RA2bXSEC.png r2 r1 manage 18.4 K 2014-05-16 - 12:18 AlessandroGaz
pdf Table1.pdf r1 manage 119.9 K 2013-05-15 - 19:09 KeithUlmer
png Table1.png r1 manage 61.0 K 2013-05-15 - 19:09 KeithUlmer
pdf Table2.pdf r1 manage 98.1 K 2013-05-15 - 19:09 KeithUlmer
png Table2.png r1 manage 194.7 K 2013-05-15 - 19:09 KeithUlmer
pdf Table3.pdf r1 manage 68.3 K 2013-05-15 - 19:09 KeithUlmer
png Table3.png r1 manage 88.6 K 2013-05-15 - 19:09 KeithUlmer
pdf Table4.pdf r1 manage 68.3 K 2013-05-15 - 19:09 KeithUlmer
png Table4.png r1 manage 233.1 K 2013-05-15 - 19:09 KeithUlmer
pdf an-bins-cartoon-fig.pdf r1 manage 82.9 K 2013-05-15 - 19:09 KeithUlmer
png an-bins-cartoon-fig.png r1 manage 197.6 K 2013-05-15 - 19:09 KeithUlmer
pdf effT5Wh.pdf r1 manage 15.2 K 2014-10-23 - 15:29 KeithUlmer
png effT5Wh.png r1 manage 21.2 K 2014-10-23 - 15:29 KeithUlmer
pdf effT5hh.pdf r1 manage 15.3 K 2014-10-23 - 15:29 KeithUlmer
png effT5hh.png r1 manage 19.6 K 2014-10-23 - 15:29 KeithUlmer
root efficiency_T1bbbb_multi.root r1 manage 289.4 K 2013-05-15 - 19:08 KeithUlmer
root efficiency_T1tttt_multi.root r1 manage 226.6 K 2013-05-15 - 19:08 KeithUlmer
pdf fitresult-fullfit-hsbins-1sig-19fb_components.pdf r1 manage 19.4 K 2013-05-15 - 19:08 KeithUlmer
png fitresult-fullfit-hsbins-1sig-19fb_components.png r1 manage 152.7 K 2013-05-15 - 19:08 KeithUlmer
pdf fitresult-unbiased-hsbins-2sig-19fb.pdf r1 manage 18.5 K 2013-05-15 - 19:08 KeithUlmer
png fitresult-unbiased-hsbins-2sig-19fb.png r1 manage 23.7 K 2013-05-15 - 19:08 KeithUlmer
pdf gi-plots-met4-ht4-v15-mcclosure-ttwj3.pdf r1 manage 19.5 K 2013-05-15 - 19:08 KeithUlmer
png gi-plots-met4-ht4-v15-mcclosure-ttwj3.png r1 manage 21.2 K 2013-05-15 - 19:08 KeithUlmer
pdf h_ht_ldp_nb3_btw_logy.pdf r1 manage 23.3 K 2013-05-15 - 19:08 KeithUlmer
png h_ht_ldp_nb3_btw_logy.png r1 manage 25.7 K 2013-05-15 - 19:08 KeithUlmer
pdf h_ht_sl_nb3_btw_logy.pdf r1 manage 19.8 K 2013-05-15 - 19:07 KeithUlmer
png h_ht_sl_nb3_btw_logy.png r1 manage 22.0 K 2013-05-15 - 19:07 KeithUlmer
pdf h_ht_zl_nb3_btw_logy.pdf r1 manage 21.3 K 2013-05-15 - 19:07 KeithUlmer
png h_ht_zl_nb3_btw_logy.png r1 manage 25.0 K 2013-05-15 - 19:07 KeithUlmer
pdf h_met_ldp_nb3_btw_logy.pdf r1 manage 21.9 K 2013-05-15 - 19:07 KeithUlmer
png h_met_ldp_nb3_btw_logy.png r1 manage 25.4 K 2013-05-15 - 19:07 KeithUlmer
pdf h_met_sl_nb3_btw_logy.pdf r1 manage 21.8 K 2013-05-15 - 19:07 KeithUlmer
png h_met_sl_nb3_btw_logy.png r1 manage 24.0 K 2013-05-15 - 19:07 KeithUlmer
pdf h_met_zl_nb3_btw_logy.pdf r1 manage 22.7 K 2013-05-15 - 19:07 KeithUlmer
png h_met_zl_nb3_btw_logy.png r1 manage 25.4 K 2013-05-15 - 19:07 KeithUlmer
pdf h_nb_ldp_all_btw_logy.pdf r1 manage 15.1 K 2013-05-15 - 19:07 KeithUlmer
png h_nb_ldp_all_btw_logy.png r1 manage 17.2 K 2013-05-15 - 19:07 KeithUlmer
pdf h_nb_sl_all_btw_logy.pdf r1 manage 14.9 K 2013-05-15 - 19:07 KeithUlmer
png h_nb_sl_all_btw_logy.png r1 manage 16.6 K 2013-05-15 - 19:07 KeithUlmer
pdf h_nb_zl_all_btw_logy.pdf r1 manage 15.1 K 2013-05-15 - 19:07 KeithUlmer
png h_nb_zl_all_btw_logy.png r1 manage 17.3 K 2013-05-15 - 19:07 KeithUlmer
pdf ht.pdf r1 manage 15.3 K 2014-10-23 - 15:29 KeithUlmer
png ht.png r1 manage 17.7 K 2014-10-23 - 15:29 KeithUlmer
pdf mColMin_excl.pdf r1 manage 14.3 K 2013-06-18 - 22:10 AlessandroGaz pMSSM interpretations
png mColMin_excl.png r1 manage 29.0 K 2013-06-18 - 22:10 AlessandroGaz pMSSM interpretations
pdf mb1_excl.pdf r1 manage 14.7 K 2013-06-18 - 22:10 AlessandroGaz pMSSM interpretations
png mb1_excl.png r1 manage 27.5 K 2013-06-18 - 22:10 AlessandroGaz pMSSM interpretations
pdf mcclosure4-qcd-averatio.pdf r1 manage 21.0 K 2013-05-15 - 19:07 KeithUlmer
png mcclosure4-qcd-averatio.png r1 manage 32.8 K 2013-05-15 - 19:07 KeithUlmer
pdf mcclosure4-qcd-scalefactor-model4.pdf r1 manage 21.7 K 2013-05-15 - 19:07 KeithUlmer
png mcclosure4-qcd-scalefactor-model4.png r1 manage 34.6 K 2013-05-15 - 19:07 KeithUlmer
pdf met.pdf r1 manage 15.3 K 2014-10-23 - 15:29 KeithUlmer
png met.png r1 manage 16.4 K 2014-10-23 - 15:29 KeithUlmer
pdf mgl_excl.pdf r1 manage 14.5 K 2013-06-18 - 22:10 AlessandroGaz pMSSM interpretations
png mgl_excl.png r1 manage 26.6 K 2013-06-18 - 22:10 AlessandroGaz pMSSM interpretations
pdf minDPhi.pdf r1 manage 15.3 K 2014-10-23 - 15:29 KeithUlmer
png minDPhi.png r1 manage 14.9 K 2014-10-23 - 15:29 KeithUlmer
pdf njets.pdf r1 manage 14.5 K 2014-10-23 - 15:30 KeithUlmer
png njets.png r1 manage 16.1 K 2014-10-23 - 15:30 KeithUlmer
pdf preCMS_mb1_mz1.pdf r1 manage 15.6 K 2013-08-21 - 09:32 LukasVanelderen
png preCMS_mb1_mz1.png r1 manage 22.7 K 2013-08-21 - 09:32 LukasVanelderen
pdf preCMS_mg_mz1.pdf r1 manage 15.5 K 2013-08-21 - 09:32 LukasVanelderen
png preCMS_mg_mz1.png r1 manage 21.9 K 2013-08-21 - 09:32 LukasVanelderen
pdf t5wh-eff-without-MET-and-MinDeltaPhi.pdf r1 manage 15.1 K 2014-10-23 - 15:30 KeithUlmer
png t5wh-eff-without-MET-and-MinDeltaPhi.png r1 manage 21.1 K 2014-10-23 - 15:30 KeithUlmer
pdf t5wh-eff-without-MET.pdf r1 manage 15.0 K 2014-10-23 - 15:30 KeithUlmer
png t5wh-eff-without-MET.png r1 manage 18.4 K 2014-10-23 - 15:30 KeithUlmer
pdf t5wh-eff-without-MinDeltaPhi.pdf r1 manage 15.2 K 2014-10-23 - 15:32 KeithUlmer
png t5wh-eff-without-MinDeltaPhi.png r1 manage 20.2 K 2014-10-23 - 15:32 KeithUlmer
Topic revision: r12 - 2014-10-23 - KeithUlmer

Create a LeftBar

 Cern Search TWiki Search Google Search CMSPublic All webs
Copyright &© 2008-2020 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
or Ideas, requests, problems regarding TWiki? use Discourse or Send feedback