CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-SUS-16-015
Search for new physics in the all-hadronic final state with the MT2 variable
Abstract: A search for new physics is performed using events with jets and the MT2 variable, which is a measure of the transverse momentum imbalance in an event. The results are based on the same kinematic variable as a search with the 2015 dataset, here with a sample of proton-proton collisions collected in 2016 at a center-of-mass energy of 13 TeV with the CMS detector and corresponding to an integrated luminosity of 12.9 fb1. No excess above the standard model background is observed. The results are interpreted as limits on the masses of potential new colored particles in a variety of simplified models of supersymmetry.
Figures & Tables Summary Additional Figures & Tables References CMS Publications
Additional information on efficiencies needed for reinterpretation of these results are available here.
Figures

png pdf
Figure 1-a:
Shape comparison between simulation and data for the MT2 observable, after the simulation has been normalized to data in each of the control region bins. The left and right panels correspond to W+jets and tˉt+jets enriched control samples, respectively.

png pdf
Figure 1-b:
Shape comparison between simulation and data for the MT2 observable, after the simulation has been normalized to data in each of the control region bins. The left and right panels correspond to W+jets and tˉt+jets enriched control samples, respectively.

png pdf
Figure 2-a:
(a) Ratio RZ/γ in simulation and data as a function of HT , and the corresponding double ratio (bottom panel). The red line and uncertainty corresponds to the overall correction of 0.89 ± 0.10 as measured inclusively. (b) The shape of the MT2distribution from Zν¯ν simulation compared to shapes from γ and W data control samples in the high HT region.

png pdf
Figure 2-b:
(a) Ratio RZ/γ in simulation and data as a function of HT , and the corresponding double ratio (bottom panel). The red line and uncertainty corresponds to the overall correction of 0.89 ± 0.10 as measured inclusively. (b) The shape of the MT2distribution from Zν¯ν simulation compared to shapes from γ and W data control samples in the high HT region.

png pdf
Figure 3-a:
Distribution of the ratio rϕ as a function of MT2 for the high HT region (a). The fit is performed to the hollow, background-subtracted data points. The full points represent the data before subtracting non-QCD backgrounds using simulation. Data point uncertainties are statistical only. The red line and the band around it show the fit to a power-law function perfomed in the window 70 <MT2< 100 GeV and the associated fit uncertainty. Values of fj (b) and rb (c) measured in data after requiring Δϕmin< 0.3 radians and 100 < MT2< 200 GeV. The bands represent both statistical and systematic uncertainties.

png pdf
Figure 3-b:
Distribution of the ratio rϕ as a function of MT2 for the high HT region (a). The fit is performed to the hollow, background-subtracted data points. The full points represent the data before subtracting non-QCD backgrounds using simulation. Data point uncertainties are statistical only. The red line and the band around it show the fit to a power-law function perfomed in the window 70 <MT2< 100 GeV and the associated fit uncertainty. Values of fj (b) and rb (c) measured in data after requiring Δϕmin< 0.3 radians and 100 < MT2< 200 GeV. The bands represent both statistical and systematic uncertainties.

png pdf
Figure 3-c:
Distribution of the ratio rϕ as a function of MT2 for the high HT region (a). The fit is performed to the hollow, background-subtracted data points. The full points represent the data before subtracting non-QCD backgrounds using simulation. Data point uncertainties are statistical only. The red line and the band around it show the fit to a power-law function perfomed in the window 70 <MT2< 100 GeV and the associated fit uncertainty. Values of fj (b) and rb (c) measured in data after requiring Δϕmin< 0.3 radians and 100 < MT2< 200 GeV. The bands represent both statistical and systematic uncertainties.

png pdf
Figure 4-a:
(a) Comparison of estimated (pre-fit) background and observed data events in each topological region. Hatched bands represent the full uncertainty on the background estimate. The results shown for Nj= 1 correspond to the monojet search regions binned in jet pT , whereas for the multijet signal regions, the notations j, b indicate Nj, Nb labeling. (b) Same for individual MT2 signal bins in the medium HT region. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0.

png pdf
Figure 4-b:
(a) Comparison of estimated (pre-fit) background and observed data events in each topological region. Hatched bands represent the full uncertainty on the background estimate. The results shown for Nj= 1 correspond to the monojet search regions binned in jet pT , whereas for the multijet signal regions, the notations j, b indicate Nj, Nb labeling. (b) Same for individual MT2 signal bins in the medium HT region. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0.

png pdf
Figure 5-a:
(a,b,c) Diagrams for the three scenarios of gluino mediated bottom squark, top squark and light flavor squark production considered. (d,e,f) Similar diagrams for the direct production of bottom, top and light flavor squark pairs.

png pdf
Figure 5-b:
(a,b,c) Diagrams for the three scenarios of gluino mediated bottom squark, top squark and light flavor squark production considered. (d,e,f) Similar diagrams for the direct production of bottom, top and light flavor squark pairs.

png pdf
Figure 5-c:
(a,b,c) Diagrams for the three scenarios of gluino mediated bottom squark, top squark and light flavor squark production considered. (d,e,f) Similar diagrams for the direct production of bottom, top and light flavor squark pairs.

png pdf
Figure 5-d:
(a,b,c) Diagrams for the three scenarios of gluino mediated bottom squark, top squark and light flavor squark production considered. (d,e,f) Similar diagrams for the direct production of bottom, top and light flavor squark pairs.

png pdf
Figure 5-e:
(a,b,c) Diagrams for the three scenarios of gluino mediated bottom squark, top squark and light flavor squark production considered. (d,e,f) Similar diagrams for the direct production of bottom, top and light flavor squark pairs.

png pdf
Figure 5-f:
(a,b,c) Diagrams for the three scenarios of gluino mediated bottom squark, top squark and light flavor squark production considered. (d,e,f) Similar diagrams for the direct production of bottom, top and light flavor squark pairs.

png pdf root
Figure 6-a:
Exclusion limits at 95% CL on the cross sections for gluino-mediated bottom squark production (a), gluino-mediated top squark production (b), and gluino-mediated light-flavor squark production (c). The area to the left of and below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their ±1 σexperiment standard deviation uncertainties. For the squark-pair production plot, the ±2 standard deviation uncertainties are also shown. The thin black lines show the effect of the theoretical uncertainties σtheory on the signal cross section.

png pdf root
Figure 6-b:
Exclusion limits at 95% CL on the cross sections for gluino-mediated bottom squark production (a), gluino-mediated top squark production (b), and gluino-mediated light-flavor squark production (c). The area to the left of and below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their ±1 σexperiment standard deviation uncertainties. For the squark-pair production plot, the ±2 standard deviation uncertainties are also shown. The thin black lines show the effect of the theoretical uncertainties σtheory on the signal cross section.

png pdf root
Figure 6-c:
Exclusion limits at 95% CL on the cross sections for gluino-mediated bottom squark production (a), gluino-mediated top squark production (b), and gluino-mediated light-flavor squark production (c). The area to the left of and below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their ±1 σexperiment standard deviation uncertainties. For the squark-pair production plot, the ±2 standard deviation uncertainties are also shown. The thin black lines show the effect of the theoretical uncertainties σtheory on the signal cross section.

png pdf root
Figure 7-a:
Exclusion limit at 95% CL on the cross sections for bottom squark pair production (a), top squark pair production (b), and light-flavor squark pair production (c). The area to the left of and below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their ±1 σexperiment standard deviation uncertainties. The thin black lines show the effect of the theoretical uncertainties σtheory on the signal cross section. The white diagonal band in the upper right plot corresponds to the region |m˜tmtmLSP|< 25 GeV , and small mLSP. Here the efficiency of the selection is a strong function of m˜tmLSP, and as a result the precise determination of the cross section upper limit is uncertain because of the finite granularity of the available MC samples in this region of the (m˜t, mLSP) plane.

png pdf root
Figure 7-b:
Exclusion limit at 95% CL on the cross sections for bottom squark pair production (a), top squark pair production (b), and light-flavor squark pair production (c). The area to the left of and below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their ±1 σexperiment standard deviation uncertainties. The thin black lines show the effect of the theoretical uncertainties σtheory on the signal cross section. The white diagonal band in the upper right plot corresponds to the region |m˜tmtmLSP|< 25 GeV , and small mLSP. Here the efficiency of the selection is a strong function of m˜tmLSP, and as a result the precise determination of the cross section upper limit is uncertain because of the finite granularity of the available MC samples in this region of the (m˜t, mLSP) plane.

png pdf root
Figure 7-c:
Exclusion limit at 95% CL on the cross sections for bottom squark pair production (a), top squark pair production (b), and light-flavor squark pair production (c). The area to the left of and below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their ±1 σexperiment standard deviation uncertainties. The thin black lines show the effect of the theoretical uncertainties σtheory on the signal cross section. The white diagonal band in the upper right plot corresponds to the region |m˜tmtmLSP|< 25 GeV , and small mLSP. Here the efficiency of the selection is a strong function of m˜tmLSP, and as a result the precise determination of the cross section upper limit is uncertain because of the finite granularity of the available MC samples in this region of the (m˜t, mLSP) plane.

png pdf
Figure 8-a:
(a) Comparison of the estimated background and observed data events in each signal bin in the mono-jet region. On the x-axis, the pTjet1 binning is shown (in GeV). Hatched bands represent the full uncertainty on the background estimate. (b) Same for the very low HT region. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0.

png pdf
Figure 8-b:
(a) Comparison of the estimated background and observed data events in each signal bin in the mono-jet region. On the x-axis, the pTjet1 binning is shown (in GeV). Hatched bands represent the full uncertainty on the background estimate. (b) Same for the very low HT region. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0.

png pdf
Figure 9-a:
(a) Comparison of the estimated background and observed data events in each signal bin in the low HT region. Hatched bands represent the full uncertainty on the background estimate. Same for the high (b) and extreme (c) HT regions. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0.

png pdf
Figure 9-b:
(a) Comparison of the estimated background and observed data events in each signal bin in the low HT region. Hatched bands represent the full uncertainty on the background estimate. Same for the high (b) and extreme (c) HT regions. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0.

png pdf
Figure 9-c:
(a) Comparison of the estimated background and observed data events in each signal bin in the low HT region. Hatched bands represent the full uncertainty on the background estimate. Same for the high (b) and extreme (c) HT regions. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0.

png pdf
Figure 10:
Comparison of post-fit background prediction and observed data events in each topological region. Hatched bands represent the post-fit uncertainty on the background prediction. For the monojet, on the x-axis the pTjet1 binning is shown (in GeV), whereas for the multijet signal regions, the notations j, b indicateNj, Nb labeling.

png pdf
Figure 11-a:
(a) Comparison of the estimated background (post-fit) and observed data events in each signal bin in the mono-jet region. On the x-axis, the pTjet1 binning is shown (in GeV). (b) and (c): Same for the very low and low HT region. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0. In these Figures, the uncertainty band represents the full uncertainty band associated to the data-driven estimate, a-posteriori.-a

png pdf
Figure 11-b:
(a) Comparison of the estimated background (post-fit) and observed data events in each signal bin in the mono-jet region. On the x-axis, the pTjet1 binning is shown (in GeV). (b) and (c): Same for the very low and low HT region. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0. In these Figures, the uncertainty band represents the full uncertainty band associated to the data-driven estimate, a-posteriori.-b

png pdf
Figure 11-c:
(a) Comparison of the estimated background (post-fit) and observed data events in each signal bin in the mono-jet region. On the x-axis, the pTjet1 binning is shown (in GeV). (b) and (c): Same for the very low and low HT region. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0. In these Figures, the uncertainty band represents the full uncertainty band associated to the data-driven estimate, a-posteriori.-c

png pdf
Figure 12-a:
(a) Comparison of the estimated background (post-fit) and observed data events in each signal bin in the medium HT region. Same for the high (b) and extreme (c) HT regions. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0. In these Figures, the uncertainty band represents the full uncertainty band associated to the data-driven estimate, a-posteriori.-a

png pdf
Figure 12-b:
(a) Comparison of the estimated background (post-fit) and observed data events in each signal bin in the medium HT region. Same for the high (b) and extreme (c) HT regions. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0. In these Figures, the uncertainty band represents the full uncertainty band associated to the data-driven estimate, a-posteriori.-b

png pdf
Figure 12-c:
(a) Comparison of the estimated background (post-fit) and observed data events in each signal bin in the medium HT region. Same for the high (b) and extreme (c) HT regions. On the x-axis, the MT2 binning is shown (in GeV). Bins with no entry for data have an observed count of 0. In these Figures, the uncertainty band represents the full uncertainty band associated to the data-driven estimate, a-posteriori.-c

png pdf
Figure 13-a:
(a) Expected (post-fit) and observed yields in the analysis binning, for all topological regions with the expected yield for the signal model of gluino mediated bottom-squark production (m˜g= 1000 GeV , m˜χ01= 800 GeV) stacked on top of the expected background. For the monojet regions, on the x-axis is shown the pTjet1 binning (in GeV). (b) Same for the extreme HT region for the same signal with (m˜g= 1800 GeV m˜χ01= 100 GeV ). In these Figures, the uncertainty band represents the full uncertainty band associated to the data-driven estimate, a-posteriori.-a

png pdf
Figure 13-b:
(a) Expected (post-fit) and observed yields in the analysis binning, for all topological regions with the expected yield for the signal model of gluino mediated bottom-squark production (m˜g= 1000 GeV , m˜χ01= 800 GeV) stacked on top of the expected background. For the monojet regions, on the x-axis is shown the pTjet1 binning (in GeV). (b) Same for the extreme HT region for the same signal with (m˜g= 1800 GeV m˜χ01= 100 GeV ). In these Figures, the uncertainty band represents the full uncertainty band associated to the data-driven estimate, a-posteriori.-b
Tables

png pdf
Table 1:
Typical values of the signal systematic uncertainties as evaluated for the simplified signal model of gluino mediated bottom squark production, pp˜g˜g,˜gb¯b˜χ01. Uncertainties evaluated on other signal models are consistent with these ranges of values.

png pdf
Table 2:
Summary of 95% CL observed exclusion limits for different SUSY simplified model scenarios. The limit on the mass of the produced sparticle is quoted for a massless LSP, while for the lightest neutralino the best limit on its mass is quoted.

png pdf
Table 3:
Definitions of aggregate regions. All selections listed for a given region are considered in a logical OR.

png pdf
Table 4:
Predictions and observations for the aggregated regions defined in Table 3, together with the observed 95% CL limit on the number of signal events contributing to each region (Nobs95). An uncertainty of either 15 or 30% in the signal efficiency is assumed for calculating the limits.

png pdf
Table 5:
Expected upper limits on the cross section of several signal models, as determined from the full binned analysis, are compared to the upper limits obtained using only the aggregated region that has the best sensitivity to each considered signal model. A 15% uncertainty in the signal selection efficiency is assumed for calculating these limits. The signal yields expected for an integrated luminosity of 12.9 fb1 are also shown.
Summary
This note presents the result of a search for new physics using events with jets and the MT2variable. Results are based on a 12.9 fb1 data sample of proton-proton collisions at s= 13 TeV collected in 2016 with the CMS detector. No significant deviations from the standard model expectations are observed. The results are interpreted as limits on the production of new, massive colored particles. We probe gluino masses up to 1750 GeV and LSP masses up to 1200 GeV. Additional interpretations in the context of the pair production of light flavor, bottom, and top squarks are performed, probing masses up to 1400, 1025, and 900 GeV, respectively, and LSP masses up to 650, 425, and 420 GeV in each scenario.
Additional Figures

png pdf
Additional Figure 1-a:
Diagrams of the analysis coverage in the plane of HT and EmissT , showing (a) the coverage of the triggers used and (b) the HT binning used.

png pdf
Additional Figure 1-b:
Diagrams of the analysis coverage in the plane of HT and EmissT , showing (a) the coverage of the triggers used and (b) the HT binning used.

png pdf
Additional Figure 2:
Diagram of the Nj and Nb binning used in the analysis. The background composition from simulation for the medium-HT bin is shown in each bin with a pie chart.

png pdf
Additional Figure 3:
Diagram of the maximal analysis binning in the plane of HT and MT2 for multijet bins. In each bin of ( HT , Nj, Nb ), the bins with highest MT2 values are merged to have at least one expected background event.

png pdf
Additional Figure 4:
Diagram of the maximal analysis binning in the jet pT dimension for monojet bins. Within each Nb category, the highest bins in jet pT are merged to have at least one expected background event.

png pdf
Additional Figure 5-a:
Data-MC shape comparison of σiηiη for photon candidates reconstructed in the ECAL barrel(left) and endcaps(right). Prompt photons are shown in grey, fragmentation photons in blue and fake photons in red. These events have been selected with a very loose isolation requirement, in order to increase the yield of fake photons. The fragmentation (``Fragm.'') category is obtained from Madraph+Pythia QCD samples, and it includes prompt photons that fail the ΔR> 0.4 requirement between the prompt photon and the nearest parton.

png pdf
Additional Figure 5-b:
Data-MC shape comparison of σiηiη for photon candidates reconstructed in the ECAL barrel(left) and endcaps(right). Prompt photons are shown in grey, fragmentation photons in blue and fake photons in red. These events have been selected with a very loose isolation requirement, in order to increase the yield of fake photons. The fragmentation (``Fragm.'') category is obtained from Madraph+Pythia QCD samples, and it includes prompt photons that fail the ΔR> 0.4 requirement between the prompt photon and the nearest parton.

png pdf
Additional Figure 6:
Comparison between the fake photon isolation template obtained from the σiηiη sidebands(black markers) and the one obtained by selecting MC-matched fake photons that pass the nominal selection(red crosses).

png pdf
Additional Figure 7:
Results of the purity template fits in data (yellow markers) compared to the MC truth purity (hollow markers), as a function of HT.

png pdf
Additional Figure 8-a:
Shape comparison of the MT2 distribution in the γ+jets (red markers) and W±ν control(green markers) regions in data, compared to the expected shape of the simulated Zν¯ν process(black markers), in different HT regions: 200 <HT< 450 GeV (top left), 450 <HT< 575 GeV(top right), 575 <HT< 1000 GeV (center left), 1000 <HT< 1500 GeV (center right) and finally HT> 1500 GeV (bottom). The shaded band in the ratio histogram includes experimental and theoretical uncertainties on the Zν¯ν background MT2 distribution.

png pdf
Additional Figure 8-b:
Shape comparison of the MT2 distribution in the γ+jets (red markers) and W±ν control(green markers) regions in data, compared to the expected shape of the simulated Zν¯ν process(black markers), in different HT regions: 200 <HT< 450 GeV (top left), 450 <HT< 575 GeV(top right), 575 <HT< 1000 GeV (center left), 1000 <HT< 1500 GeV (center right) and finally HT> 1500 GeV (bottom). The shaded band in the ratio histogram includes experimental and theoretical uncertainties on the Zν¯ν background MT2 distribution.

png pdf
Additional Figure 8-c:
Shape comparison of the MT2 distribution in the γ+jets (red markers) and W±ν control(green markers) regions in data, compared to the expected shape of the simulated Zν¯ν process(black markers), in different HT regions: 200 <HT< 450 GeV (top left), 450 <HT< 575 GeV(top right), 575 <HT< 1000 GeV (center left), 1000 <HT< 1500 GeV (center right) and finally HT> 1500 GeV (bottom). The shaded band in the ratio histogram includes experimental and theoretical uncertainties on the Zν¯ν background MT2 distribution.

png pdf
Additional Figure 8-d:
Shape comparison of the MT2 distribution in the γ+jets (red markers) and W±ν control(green markers) regions in data, compared to the expected shape of the simulated Zν¯ν process(black markers), in different HT regions: 200 <HT< 450 GeV (top left), 450 <HT< 575 GeV(top right), 575 <HT< 1000 GeV (center left), 1000 <HT< 1500 GeV (center right) and finally HT> 1500 GeV (bottom). The shaded band in the ratio histogram includes experimental and theoretical uncertainties on the Zν¯ν background MT2 distribution.

png pdf
Additional Figure 8-e:
Shape comparison of the MT2 distribution in the γ+jets (red markers) and W±ν control(green markers) regions in data, compared to the expected shape of the simulated Zν¯ν process(black markers), in different HT regions: 200 <HT< 450 GeV (top left), 450 <HT< 575 GeV(top right), 575 <HT< 1000 GeV (center left), 1000 <HT< 1500 GeV (center right) and finally HT> 1500 GeV (bottom). The shaded band in the ratio histogram includes experimental and theoretical uncertainties on the Zν¯ν background MT2 distribution.

png pdf
Additional Figure 9-a:
Distributions from data of the ratio rϕ(MT2)=N(Δϕmin>0.3)/N(Δϕmin<0.3) as a function of MT2 , for the very low (top left), low (top right), medium (bottom left), extreme (bottom right) HT regions. The full points are the ratio from data before subtracting the non-multijet component, while the hollow points represent the data after the non-multijet contribution has been subtracted. The data in the high and extreme HT regions has been collected with an unprescaled HLT trigger with an online HT threshold of 800 GeV, while for the very low, low and the medium HT regions prescaled HLT triggers have been used, with an online HT threshold of 125 GeV (prescale 3800), 350 GeV (prescale 350) and of 475 GeV (prescale 90) respectively. The luminosity in each figure corresponds to the effective luminosity given the trigger prescales of each HT region. The red line and the band around it show the fit to a power law function perfomed in the fit window, with its associated fit uncertainties.

png pdf
Additional Figure 9-b:
Distributions from data of the ratio rϕ(MT2)=N(Δϕmin>0.3)/N(Δϕmin<0.3) as a function of MT2 , for the very low (top left), low (top right), medium (bottom left), extreme (bottom right) HT regions. The full points are the ratio from data before subtracting the non-multijet component, while the hollow points represent the data after the non-multijet contribution has been subtracted. The data in the high and extreme HT regions has been collected with an unprescaled HLT trigger with an online HT threshold of 800 GeV, while for the very low, low and the medium HT regions prescaled HLT triggers have been used, with an online HT threshold of 125 GeV (prescale 3800), 350 GeV (prescale 350) and of 475 GeV (prescale 90) respectively. The luminosity in each figure corresponds to the effective luminosity given the trigger prescales of each HT region. The red line and the band around it show the fit to a power law function perfomed in the fit window, with its associated fit uncertainties.

png pdf
Additional Figure 9-c:
Distributions from data of the ratio rϕ(MT2)=N(Δϕmin>0.3)/N(Δϕmin<0.3) as a function of MT2 , for the very low (top left), low (top right), medium (bottom left), extreme (bottom right) HT regions. The full points are the ratio from data before subtracting the non-multijet component, while the hollow points represent the data after the non-multijet contribution has been subtracted. The data in the high and extreme HT regions has been collected with an unprescaled HLT trigger with an online HT threshold of 800 GeV, while for the very low, low and the medium HT regions prescaled HLT triggers have been used, with an online HT threshold of 125 GeV (prescale 3800), 350 GeV (prescale 350) and of 475 GeV (prescale 90) respectively. The luminosity in each figure corresponds to the effective luminosity given the trigger prescales of each HT region. The red line and the band around it show the fit to a power law function perfomed in the fit window, with its associated fit uncertainties.

png pdf
Additional Figure 9-d:
Distributions from data of the ratio rϕ(MT2)=N(Δϕmin>0.3)/N(Δϕmin<0.3) as a function of MT2 , for the very low (top left), low (top right), medium (bottom left), extreme (bottom right) HT regions. The full points are the ratio from data before subtracting the non-multijet component, while the hollow points represent the data after the non-multijet contribution has been subtracted. The data in the high and extreme HT regions has been collected with an unprescaled HLT trigger with an online HT threshold of 800 GeV, while for the very low, low and the medium HT regions prescaled HLT triggers have been used, with an online HT threshold of 125 GeV (prescale 3800), 350 GeV (prescale 350) and of 475 GeV (prescale 90) respectively. The luminosity in each figure corresponds to the effective luminosity given the trigger prescales of each HT region. The red line and the band around it show the fit to a power law function perfomed in the fit window, with its associated fit uncertainties.

png pdf
Additional Figure 10-a:
Fraction fj of multijet events falling in bins of number of jets Nj as measured in data using Δϕ< 0.3 and 100 <MT2< 200 GeV, compared to the prediction from QCD multijet simulation. The uncertainties shown include both statistical and systematic sources.

png pdf
Additional Figure 10-b:
Fraction fj of multijet events falling in bins of number of jets Nj as measured in data using Δϕ< 0.3 and 100 <MT2< 200 GeV, compared to the prediction from QCD multijet simulation. The uncertainties shown include both statistical and systematic sources.

png pdf
Additional Figure 10-c:
Fraction fj of multijet events falling in bins of number of jets Nj as measured in data using Δϕ< 0.3 and 100 <MT2< 200 GeV, compared to the prediction from QCD multijet simulation. The uncertainties shown include both statistical and systematic sources.

png pdf
Additional Figure 10-d:
Fraction fj of multijet events falling in bins of number of jets Nj as measured in data using Δϕ< 0.3 and 100 <MT2< 200 GeV, compared to the prediction from QCD multijet simulation. The uncertainties shown include both statistical and systematic sources.

png pdf
Additional Figure 11-a:
Fraction rb of events falling in bins of number of b-tagged jets Nb as measured in data using Δϕ< 0.3 and 100 <MT2< 200 GeV, compared to the prediction from QCD multijet simulation. The uncertainties shown include both statistical and systematic sources.

png pdf
Additional Figure 11-b:
Fraction rb of events falling in bins of number of b-tagged jets Nb as measured in data using Δϕ< 0.3 and 100 <MT2< 200 GeV, compared to the prediction from QCD multijet simulation. The uncertainties shown include both statistical and systematic sources.

png pdf
Additional Figure 12:
Validation of the data-driven multijet estimate in the region 100 <MT2< 200 GeV. The points are data with Δϕ< 0.3, triggered by the HT-only triggers (prescaled for every regions with HT< 1000GeV). The green histogram is the non-multijet contribution as expected from simulation, while the yellow histogram is the multijet estimation using the data-driven method on 12.9 fb1 of data.

png pdf
Additional Figure 13:
Distribution of subleading jet pT for dijet events with leading jet pT> 200 GeV. The simulation is normalized to the data yield.

png pdf
Additional Figure 14:
Observed significance for all the signal regions for which the observed yield is larger than the pre-fit background estimate. The significance distribution is also fitted with a one-sided Gaussian function centered at zero. Because the background estimates are correlated for groups of signal regions, the distribution is not expected to be exactly Gaussian.

png pdf
Additional Figure 15:
The standard lost lepton predictions based on the single lepton yields in bins of ( HT , Nj , Nb ) and combined with the MC shape along MT2 are compared with the bin-by-bin predictions obtained using single lepton yields in bins of ( HT , Nj , Nb , MT2 ), for the medium- HT region. The MC sum of tˉt , W+jets , single top, tˉtW, tˉtZ, and tˉtH processes is used. Bins with no entry for data have an observed count of 0 events.

png pdf
Additional Figure 16:
The standard lost lepton predictions based on the single lepton yields in bins of ( HT , Nj , Nb ) and combined with the MC shape along MT2 are compared with the bin-by-bin predictions obtained using single lepton yields in bins of ( HT , Nj , Nb , MT2 ), for the high- HT region. The MC sum of tˉt , W+jets , single top, tˉtW , tˉtZ , and tˉtH processes is used. Bins with no entry for data have an observed count of 0 events.

png pdf
Additional Figure 17:
The standard Zν¯ν predictions based on the γ+jets yields in bins of ( HT , Nj , Nb ) and combined with the Zν¯ν MC shape along MT2 are compared with the bin-by-bin predictions obtained using γ+jets yields in bins of ( HT , Nj , Nb , MT2 ), for the medium- HT region. Bins with no entry for data have an observed count of 0 events.

png pdf
Additional Figure 18:
The standard Zν¯ν predictions based on the γ+jets yields in bins of ( HT , Nj , Nb ) and combined with the Zν¯ν MC shape along MT2 are compared with the bin-by-bin predictions obtained using γ+jets yields in bins of ( HT , Nj , Nb , MT2 ), for the high- HT region. Bins with no entry for data have an observed count of 0 events.

png pdf
Additional Figure 19-a:
Summary of exclusion limits at 95% CL on the cross-section for gluino-mediated models (top), and for direct squark pair production models (bottom).

png pdf
Additional Figure 19-b:
Summary of exclusion limits at 95% CL on the cross-section for gluino-mediated models (top), and for direct squark pair production models (bottom).

png
Additional Figure 20-a:
Display of a candidate event at event:run:lumi=715087594:276776:433, with MT2= 404 GeV, HT= 2066 GeV, EmissT= 541 GeV, 6 jets and 2 b-jets.

png
Additional Figure 20-b:
Display of a candidate event at event:run:lumi=715087594:276776:433, with MT2= 404 GeV, HT= 2066 GeV, EmissT= 541 GeV, 6 jets and 2 b-jets.

png
Additional Figure 20-c:
Display of a candidate event at event:run:lumi=715087594:276776:433, with MT2= 404 GeV, HT= 2066 GeV, EmissT= 541 GeV, 6 jets and 2 b-jets.

png
Additional Figure 20-d:
Display of a candidate event at event:run:lumi=715087594:276776:433, with MT2= 404 GeV, HT= 2066 GeV, EmissT= 541 GeV, 6 jets and 2 b-jets.

png
Additional Figure 20-e:
Display of a candidate event at event:run:lumi=715087594:276776:433, with MT2= 404 GeV, HT= 2066 GeV, EmissT= 541 GeV, 6 jets and 2 b-jets.

png
Additional Figure 20-f:
Display of a candidate event at event:run:lumi=715087594:276776:433, with MT2= 404 GeV, HT= 2066 GeV, EmissT= 541 GeV, 6 jets and 2 b-jets.

png
Additional Figure 20-g:
Display of a candidate event at event:run:lumi=715087594:276776:433, with MT2= 404 GeV, HT= 2066 GeV, EmissT= 541 GeV, 6 jets and 2 b-jets.

png
Additional Figure 20-h:
Display of a candidate event at event:run:lumi=715087594:276776:433, with MT2= 404 GeV, HT= 2066 GeV, EmissT= 541 GeV, 6 jets and 2 b-jets.
Additional Tables

png pdf
Additional Table 1:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of gluino-mediated bottom squark production with the mass of the gluino and the LSP equal to 1900 and 0 GeV, respectively. Theory cross section for this signal is 0.0016 pb.

png pdf
Additional Table 2:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of gluino-mediated bottom squark production with the mass of the gluino and the LSP equal to 1000 and 900 GeV, respectively. Theory cross section for this signal is 0.33 pb.

png pdf
Additional Table 3:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of gluino-mediated top squark production with the mass of the gluino and the LSP equal to 1800 and 0 GeV, respectively. Theory cross section for this signal is 0.0028 pb.

png pdf
Additional Table 4:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of gluino-mediated top squark production with the mass of the gluino and the LSP equal to 1000 and 700 GeV, respectively. Theory cross section for this signal is 0.33 pb.

png pdf
Additional Table 5:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of gluino-mediated light squark production with the mass of the gluino and the LSP equal to 1700 and 0 GeV, respectively. Theory cross section for this signal is 0.0047 pb.

png pdf
Additional Table 6:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of gluino-mediated light squark production with the mass of the gluino and the LSP equal to 1000 and 900 GeV, respectively. Theory cross section for this signal is 0.33 pb.

png pdf
Additional Table 7:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of direct bottom squark production with the mass of the squark and the LSP equal to 1000 and 0 GeV, respectively. Theory cross section for this signal is 0.0062 pb.

png pdf
Additional Table 8:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of direct bottom squark production with the mass of the squark and the LSP equal to 450 and 400 GeV, respectively. Theory cross section for this signal is 0.95 pb.

png pdf
Additional Table 9:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of direct top squark production with the mass of the squark and the LSP equal to 900 and 0 GeV, respectively. Theory cross section for this signal is 0.013 pb.

png pdf
Additional Table 10:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of direct top squark production with the mass of the squark and the LSP equal to 350 and 250 GeV, respectively. Theory cross section for this signal is 3.79 pb.

png pdf
Additional Table 11:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of direct light squark production with the mass of the squark and the LSP equal to 1400 and 0 GeV, respectively. Theory cross section for this signal is 0.0038 pb.

png pdf
Additional Table 12:
Cut flow table for baseline selection and several sample additional kinematic selections for a signal model of direct light squark production with the mass of the squark and the LSP equal to 650 and 600 GeV, respectively. Theory cross section for this signal is 0.86 pb.

png pdf
Additional Table 13:
Background estimate and observation in bins of pTjet1 for the monojet regions. The yields correspond to an integrated luminosity of 12.9 fb1.

png pdf
Additional Table 14:
Background estimate and observation in bins of MT2 for 200 <HT< 450 GeV. The yields correspond to an integrated luminosity of 12.9 fb1.

png pdf
Additional Table 15:
Background estimate and observation in bins of MT2 for 450 <HT< 575 GeV. The yields correspond to an integrated luminosity of 12.9 fb1.

png pdf
Additional Table 16:
Background estimate and observation in bins of MT2 for 575 <HT< 1000 GeV. The yields correspond to an integrated luminosity of 12.9 fb1.

png pdf
Additional Table 17:
Background estimate and observation in bins of MT2 for 1000 <HT< 1500 GeV. The yields correspond to an integrated luminosity of 12.9 fb1.

png pdf
Additional Table 18:
Background estimate and observation in bins of MT2 for HT> 1500 GeV. The yields correspond to an integrated luminosity of 12.9 fb1.
Additional code to compute hemispheres and MT2 and an example of usage is available here.
References
1 ATLAS Collaboration Search for new phenomena in final states with large jet multiplicities and missing transverse momentum with ATLAS using s= 13 TeV proton-proton collisions PLB757 (2016) 334--355 1602.06194
2 ATLAS Collaboration Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at s=13 TeV using the ATLAS detector 1604.07773
3 ATLAS Collaboration Search for squarks and gluinos in final states with jets and missing transverse momentum at s= 13 TeV with the ATLAS detector 1605.03814
4 ATLAS Collaboration Search for pair production of gluinos decaying via stop and sbottom in events with b-jets and large missing transverse momentum in pp collisions at s=13 TeV with the ATLAS detector 1605.09318
5 CMS Collaboration Search for new physics with the MT2 variable in all-jets final states produced in pp collisions at sqrt(s) = 13 TeV CMS-SUS-15-003
1603.04053
6 CMS Collaboration Search for supersymmetry in the multijet and missing transverse momentum final state in pp collisions at 13 TeV PLB758 (2016) 152--180 CMS-SUS-15-002
1602.06581
7 CMS Collaboration Collaboration Inclusive search for supersymmetry using the razor variables at sqrt(s) = 13 TeV Technical Report CMS-PAS-SUS-15-004, CERN, Geneva
8 CMS Collaboration Collaboration Search for new physics in final states with jets and missing transverse momentum in s = 13 TeV pp collisions with the αT variable Technical Report CMS-PAS-SUS-15-005, CERN, Geneva
9 C. G. Lester and D. J. Summers Measuring masses of semiinvisibly decaying particles pair produced at hadron colliders PLB 463 (1999) 99 hep-ph/9906349
10 CMS Collaboration Performance of Electron Reconstruction and Selection with the CMS Detector in Proton-Proton Collisions at √s = 8 TeV JINST 10 (2015), no. 06, P06005 CMS-EGM-13-001
1502.02701
11 A. L. Read Presentation of search results: The CLs technique JPG 28 (2002) 2693
12 A. L. Read Modified frequentist analysis of search results (The CLs method) CERN-OPEN 205(2000)
13 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
14 ATLAS and CMS Collaborations Procedure for the LHC Higgs boson search combination in summer 2011 CMS-NOTE-2011-005
15 CMS Collaboration Search for top-squark pair production in the single-lepton final state in pp collisions at s = 8 TeV EPJC73 (2013), no. 12 CMS-SUS-13-011
1308.1586
Compact Muon Solenoid
LHC, CERN