CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-SUS-17-012
Search for supersymmetry using events with a photon, a lepton, and missing transverse momentum in pp collisions at $\sqrt{s} = $ 13 TeV
Abstract: Results of a search for supersymmetry are presented using events with a photon, an electron or muon, and large missing transverse momentum. The analysis is based on a data sample corresponding to an integrated luminosity of 35.9 fb$^{-1}$ of proton-proton collisions at $\sqrt{s} = $ 13 TeV, produced by the CERN LHC and collected with the CMS detector in 2016. Models of supersymmetry with gauge-mediated supersymmetry breaking yield events with photons in the final state as well as electroweak gauge bosons decaying to leptons. Searches for events with both a photon and a lepton are sensitive probes of these models. No excess of events is observed beyond expectations from standard model processes. The results of the search are interpreted in the context of simplified models inspired by gauge-mediated supersymmetry breaking. These models are used to derive upper limits on the production cross sections of supersymmetric processes and set bounds on masses of supersymmetric particles.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Feynman diagrams showing the production and decay modes of the signal models T5Wg (left), T6Wg (center), and TChiWg (right) considered in this analysis.

png pdf
Figure 1-a:
Feynman diagrams showing the production and decay modes of the signal models T5Wg (left), T6Wg (center), and TChiWg (right) considered in this analysis.

png pdf
Figure 1-b:
Feynman diagrams showing the production and decay modes of the signal models T5Wg (left), T6Wg (center), and TChiWg (right) considered in this analysis.

png pdf
Figure 1-c:
Feynman diagrams showing the production and decay modes of the signal models T5Wg (left), T6Wg (center), and TChiWg (right) considered in this analysis.

png pdf
Figure 2:
Verification of the e-to-$ {\gamma}$ misidentification estimation method using simulated data. The predicted ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution for events with misidentified photons in the e$\gamma$ (left) and $\mu {\gamma}$ (right) channel from direct simulation (points) and from using the proxy sample estimation method from data (histograms). The vertical bars on the points show the statistical uncertainty in the simulation, while the horizontal bars give the bin widths. The lower panels show the ratio of the predictions from direct simulation to those from the proxy sample method. The vertical bars on the points show again the statistical uncertainty, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 2-a:
Verification of the e-to-$ {\gamma}$ misidentification estimation method using simulated data. The predicted ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution for events with misidentified photons in the e$\gamma$ (left) and $\mu {\gamma}$ (right) channel from direct simulation (points) and from using the proxy sample estimation method from data (histograms). The vertical bars on the points show the statistical uncertainty in the simulation, while the horizontal bars give the bin widths. The lower panels show the ratio of the predictions from direct simulation to those from the proxy sample method. The vertical bars on the points show again the statistical uncertainty, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 2-b:
Verification of the e-to-$ {\gamma}$ misidentification estimation method using simulated data. The predicted ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution for events with misidentified photons in the e$\gamma$ (left) and $\mu {\gamma}$ (right) channel from direct simulation (points) and from using the proxy sample estimation method from data (histograms). The vertical bars on the points show the statistical uncertainty in the simulation, while the horizontal bars give the bin widths. The lower panels show the ratio of the predictions from direct simulation to those from the proxy sample method. The vertical bars on the points show again the statistical uncertainty, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 3:
The post-fit $\Delta \phi (\ell, {{p_{\mathrm {T}}} ^\text {miss}})$ distributions for the $V {\gamma}$ (dashed-green) and misidentified-lepton (solid-red) backgrounds. The black points show the data in the 40 $ < {{p_{\mathrm {T}}} ^\text {miss}} < $ 70 GeV control region with the fit result overlaid for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels, while the grey-blue distribution gives the fit result and the hatched area indicates the fit uncertainty. The vertical bars on the points represent the statistical uncertainty. The lower panels show the ratio of the fit result to the data. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the fit uncertainty.

png pdf
Figure 3-a:
The post-fit $\Delta \phi (\ell, {{p_{\mathrm {T}}} ^\text {miss}})$ distributions for the $V {\gamma}$ (dashed-green) and misidentified-lepton (solid-red) backgrounds. The black points show the data in the 40 $ < {{p_{\mathrm {T}}} ^\text {miss}} < $ 70 GeV control region with the fit result overlaid for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels, while the grey-blue distribution gives the fit result and the hatched area indicates the fit uncertainty. The vertical bars on the points represent the statistical uncertainty. The lower panels show the ratio of the fit result to the data. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the fit uncertainty.

png pdf
Figure 3-b:
The post-fit $\Delta \phi (\ell, {{p_{\mathrm {T}}} ^\text {miss}})$ distributions for the $V {\gamma}$ (dashed-green) and misidentified-lepton (solid-red) backgrounds. The black points show the data in the 40 $ < {{p_{\mathrm {T}}} ^\text {miss}} < $ 70 GeV control region with the fit result overlaid for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels, while the grey-blue distribution gives the fit result and the hatched area indicates the fit uncertainty. The vertical bars on the points represent the statistical uncertainty. The lower panels show the ratio of the fit result to the data. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the fit uncertainty.

png pdf
Figure 4:
Distributions of ${{p_{\mathrm {T}}} ^\text {miss}}$ (a, b), $ {p_{\mathrm {T}}} ^{{\gamma}}$ (c, d), and $ {H_{\mathrm {T}}}$ (e, f) from data (points) and simulated SM predictions (stacked histograms) for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels. Simulated signal distributions from from the TChiWg model (dotted) with $M_{\tilde{\chi}^0 / \tilde{\chi}^\pm} = $ 800 GeV and the T5Wg model (solid) with $M_{{\tilde{g}}} = $ 1700 GeV are overlaid. The ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution includes all events with $ {M_{\mathrm {T}}} > $ 100 GeV, while the $ {p_{\mathrm {T}}} ^{{\gamma}}$ and $ {H_{\mathrm {T}}}$ distributions only include events with $ {M_{\mathrm {T}}} > $ 100 GeV and $ {{p_{\mathrm {T}}} ^\text {miss}} > $ 120 GeV. The vertical bars on the points give the statistical uncertainty in the data. The horizontal bars show the bin widths. The lower panels display the ratio of the data to the total background prediction. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 4-a:
Distributions of ${{p_{\mathrm {T}}} ^\text {miss}}$ (a, b), $ {p_{\mathrm {T}}} ^{{\gamma}}$ (c, d), and $ {H_{\mathrm {T}}}$ (e, f) from data (points) and simulated SM predictions (stacked histograms) for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels. Simulated signal distributions from from the TChiWg model (dotted) with $M_{\tilde{\chi}^0 / \tilde{\chi}^\pm} = $ 800 GeV and the T5Wg model (solid) with $M_{{\tilde{g}}} = $ 1700 GeV are overlaid. The ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution includes all events with $ {M_{\mathrm {T}}} > $ 100 GeV, while the $ {p_{\mathrm {T}}} ^{{\gamma}}$ and $ {H_{\mathrm {T}}}$ distributions only include events with $ {M_{\mathrm {T}}} > $ 100 GeV and $ {{p_{\mathrm {T}}} ^\text {miss}} > $ 120 GeV. The vertical bars on the points give the statistical uncertainty in the data. The horizontal bars show the bin widths. The lower panels display the ratio of the data to the total background prediction. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 4-b:
Distributions of ${{p_{\mathrm {T}}} ^\text {miss}}$ (a, b), $ {p_{\mathrm {T}}} ^{{\gamma}}$ (c, d), and $ {H_{\mathrm {T}}}$ (e, f) from data (points) and simulated SM predictions (stacked histograms) for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels. Simulated signal distributions from from the TChiWg model (dotted) with $M_{\tilde{\chi}^0 / \tilde{\chi}^\pm} = $ 800 GeV and the T5Wg model (solid) with $M_{{\tilde{g}}} = $ 1700 GeV are overlaid. The ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution includes all events with $ {M_{\mathrm {T}}} > $ 100 GeV, while the $ {p_{\mathrm {T}}} ^{{\gamma}}$ and $ {H_{\mathrm {T}}}$ distributions only include events with $ {M_{\mathrm {T}}} > $ 100 GeV and $ {{p_{\mathrm {T}}} ^\text {miss}} > $ 120 GeV. The vertical bars on the points give the statistical uncertainty in the data. The horizontal bars show the bin widths. The lower panels display the ratio of the data to the total background prediction. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 4-c:
Distributions of ${{p_{\mathrm {T}}} ^\text {miss}}$ (a, b), $ {p_{\mathrm {T}}} ^{{\gamma}}$ (c, d), and $ {H_{\mathrm {T}}}$ (e, f) from data (points) and simulated SM predictions (stacked histograms) for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels. Simulated signal distributions from from the TChiWg model (dotted) with $M_{\tilde{\chi}^0 / \tilde{\chi}^\pm} = $ 800 GeV and the T5Wg model (solid) with $M_{{\tilde{g}}} = $ 1700 GeV are overlaid. The ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution includes all events with $ {M_{\mathrm {T}}} > $ 100 GeV, while the $ {p_{\mathrm {T}}} ^{{\gamma}}$ and $ {H_{\mathrm {T}}}$ distributions only include events with $ {M_{\mathrm {T}}} > $ 100 GeV and $ {{p_{\mathrm {T}}} ^\text {miss}} > $ 120 GeV. The vertical bars on the points give the statistical uncertainty in the data. The horizontal bars show the bin widths. The lower panels display the ratio of the data to the total background prediction. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 4-d:
Distributions of ${{p_{\mathrm {T}}} ^\text {miss}}$ (a, b), $ {p_{\mathrm {T}}} ^{{\gamma}}$ (c, d), and $ {H_{\mathrm {T}}}$ (e, f) from data (points) and simulated SM predictions (stacked histograms) for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels. Simulated signal distributions from from the TChiWg model (dotted) with $M_{\tilde{\chi}^0 / \tilde{\chi}^\pm} = $ 800 GeV and the T5Wg model (solid) with $M_{{\tilde{g}}} = $ 1700 GeV are overlaid. The ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution includes all events with $ {M_{\mathrm {T}}} > $ 100 GeV, while the $ {p_{\mathrm {T}}} ^{{\gamma}}$ and $ {H_{\mathrm {T}}}$ distributions only include events with $ {M_{\mathrm {T}}} > $ 100 GeV and $ {{p_{\mathrm {T}}} ^\text {miss}} > $ 120 GeV. The vertical bars on the points give the statistical uncertainty in the data. The horizontal bars show the bin widths. The lower panels display the ratio of the data to the total background prediction. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 4-e:
Distributions of ${{p_{\mathrm {T}}} ^\text {miss}}$ (a, b), $ {p_{\mathrm {T}}} ^{{\gamma}}$ (c, d), and $ {H_{\mathrm {T}}}$ (e, f) from data (points) and simulated SM predictions (stacked histograms) for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels. Simulated signal distributions from from the TChiWg model (dotted) with $M_{\tilde{\chi}^0 / \tilde{\chi}^\pm} = $ 800 GeV and the T5Wg model (solid) with $M_{{\tilde{g}}} = $ 1700 GeV are overlaid. The ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution includes all events with $ {M_{\mathrm {T}}} > $ 100 GeV, while the $ {p_{\mathrm {T}}} ^{{\gamma}}$ and $ {H_{\mathrm {T}}}$ distributions only include events with $ {M_{\mathrm {T}}} > $ 100 GeV and $ {{p_{\mathrm {T}}} ^\text {miss}} > $ 120 GeV. The vertical bars on the points give the statistical uncertainty in the data. The horizontal bars show the bin widths. The lower panels display the ratio of the data to the total background prediction. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 4-f:
Distributions of ${{p_{\mathrm {T}}} ^\text {miss}}$ (a, b), $ {p_{\mathrm {T}}} ^{{\gamma}}$ (c, d), and $ {H_{\mathrm {T}}}$ (e, f) from data (points) and simulated SM predictions (stacked histograms) for the e$\gamma$ (left) and $\mu {\gamma} $ (right) channels. Simulated signal distributions from from the TChiWg model (dotted) with $M_{\tilde{\chi}^0 / \tilde{\chi}^\pm} = $ 800 GeV and the T5Wg model (solid) with $M_{{\tilde{g}}} = $ 1700 GeV are overlaid. The ${{p_{\mathrm {T}}} ^\text {miss}}$ distribution includes all events with $ {M_{\mathrm {T}}} > $ 100 GeV, while the $ {p_{\mathrm {T}}} ^{{\gamma}}$ and $ {H_{\mathrm {T}}}$ distributions only include events with $ {M_{\mathrm {T}}} > $ 100 GeV and $ {{p_{\mathrm {T}}} ^\text {miss}} > $ 120 GeV. The vertical bars on the points give the statistical uncertainty in the data. The horizontal bars show the bin widths. The lower panels display the ratio of the data to the total background prediction. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 5:
The number of signal events from data (points) and from simulated background (stacked histograms) for the 18 search bins in ${{p_{\mathrm {T}}} ^\text {miss}}$, ${H_{\mathrm {T}}}$, and $ {p_{\mathrm {T}}} ^{{\gamma}}$ in the $\mu + {\gamma}$ channel (left) and the $e+ {\gamma}$ channel (right). For each ${{p_{\mathrm {T}}} ^\text {miss}}$ range, the first, second, and last bins correspond to the $ {H_{\mathrm {T}}}$ ranges [0,100], [100,400] and $ > $ 400 GeV, respectively. The lower panel displays the ratio of the data to the background predictions. The vertical bars on the points show the statistical uncertainty in the data, and the hatched areas give the quadrature sum of the statistical and systematic uncertainties in the simulated background.

png pdf
Figure 6:
The observed and expected 95% CL upper limits on the production cross sections for the TChiWg simplified model, together with the theoretical cross sections. The inner (darker) band and outer (lighter) band around the expected upper limits indicate the regions containing 68 and 95%, respectively, of the distribution of limits expected under the background-only hypothesis. The band around the theoretical cross section gives the $ \pm $1 standard deviation uncertainty in the cross section.

png pdf
Figure 7:
The observed and expected 95% CL exclusion contours for $M_{{\tilde{g}}}/ {\mathrm {\tilde{q}}}$ versus $M_{\tilde{\chi}}$ (regions to the left of the curves are excluded) and the 95% CL upper limits on the pair production cross sections for the (a) T5Wg and (b) T6Wg simplified models. The upper limits on the cross section assume a 50% branching fraction for $\tilde{g}(\tilde{q})\rightarrow \tilde{\chi}^0/\tilde{\chi}^\pm \mathrm{q\bar{q}}$. The bands around the observed and expected exclusion contours indicate the $ \pm $1 standard deviation range when including the experimental and theoretical uncertainties, respectively.

png pdf
Figure 7-a:
The observed and expected 95% CL exclusion contours for $M_{{\tilde{g}}}/ {\mathrm {\tilde{q}}}$ versus $M_{\tilde{\chi}}$ (regions to the left of the curves are excluded) and the 95% CL upper limits on the pair production cross sections for the (a) T5Wg and (b) T6Wg simplified models. The upper limits on the cross section assume a 50% branching fraction for $\tilde{g}(\tilde{q})\rightarrow \tilde{\chi}^0/\tilde{\chi}^\pm \mathrm{q\bar{q}}$. The bands around the observed and expected exclusion contours indicate the $ \pm $1 standard deviation range when including the experimental and theoretical uncertainties, respectively.

png pdf
Figure 7-b:
The observed and expected 95% CL exclusion contours for $M_{{\tilde{g}}}/ {\mathrm {\tilde{q}}}$ versus $M_{\tilde{\chi}}$ (regions to the left of the curves are excluded) and the 95% CL upper limits on the pair production cross sections for the (a) T5Wg and (b) T6Wg simplified models. The upper limits on the cross section assume a 50% branching fraction for $\tilde{g}(\tilde{q})\rightarrow \tilde{\chi}^0/\tilde{\chi}^\pm \mathrm{q\bar{q}}$. The bands around the observed and expected exclusion contours indicate the $ \pm $1 standard deviation range when including the experimental and theoretical uncertainties, respectively.
Tables

png pdf
Table 1:
Summary of the systematic uncertainties affecting the SUSY signals and SM background estimates given in percent.
Summary
A search for supersymmetry with general gauge mediation in events with a photon, an electron or muon, and large missing transverse momentum is presented. This analysis is based on a sample of proton-proton collisions at $\sqrt{s} = $ 13 TeV corresponding to an integrated luminosity of 35.9 fb$^{-1}$ recorded by the CMS experiment in 2016. The data are examined in bins of the photon transverse energy, the magnitude of the missing transverse momentum, and $ {H_{\mathrm{T}}} $, the scalar sum of jet energies. The standard model background is evaluated primarily using control samples in the data, with simulation used to evaluate backgrounds from electroweak processes. The data is found to agree with the standard model expectation, without significant excess in the search region. The results of the search are interpreted as a 95% confidence level upper limits on the production cross section of supersymmetry particles in the context of simplified models motivated by gauge-mediated supersymmetry breaking. The TChiWg simplified model, based on direct electroweak production of a neutralino and chargino, is excluded for next-to-lightest supersymmetric particle masses below 900 GeV. For strong production models, such as the T5Wg simplified model of gluino pair production and the T6Wg model of squark pair production, this search excludes gluinos (squarks) with masses of up to 1700 (1400) GeV in the T5Wg (T6Wg) scenarios.
References
1 M. Dine and W. Fischler A phenomenological model of particle physics based on supersymmetry PLB 110 (1982) 227
2 L. Alvarez-Gaume, M. Claudson, and M. B. Wise Low-energy supersymmetry NPB 207 (1982) 96
3 C. R. Nappi and B. A. Ovrut Supersymmetric extension of the SU(3)xSU(2)xU(1) model PLB 113 (1982) 175
4 M. Dine and A. E. Nelson Dynamical supersymmetry breaking at low-energies PRD 48 (1993) 1277 hep-ph/9303230
5 M. Dine, A. E. Nelson, and Y. Shirman Low energy dynamical supersymmetry breaking simplified PRD 51 (1995) 1362 hep-ph/9408384
6 M. Dine, A. E. Nelson, Y. Nir, and Y. Shirman New tools for low-energy dynamical supersymmetry breaking PRD 53 (1996) 2658 hep-ph/9507378
7 G. R. Farrar and P. Fayet Phenomenology of the production, decay, and detection of new hadronic states associated with supersymmetry PLB 76 (1978) 575
8 S. Dimopoulos, G. F. Giudice, and A. Pomarol Dark matter in theories of gauge mediated supersymmetry breaking PLB 389 (1996) 37 hep-ph/9607225
9 S. P. Martin Generalized messengers of supersymmetry breaking and the sparticle mass spectrum PRD 55 (1997) 3177 hep-ph/9608224
10 E. Poppitz and S. P. Trivedi Some remarks on gauge mediated supersymmetry breaking PLB 401 (1997) 38 hep-ph/9703246
11 P. Meade, N. Seiberg, and D. Shih General gauge mediation Prog. Theor. Phys. Suppl. 177 (2009) 143 0801.3278
12 M. Buican, P. Meade, N. Seiberg, and D. Shih Exploring general gauge mediation JHEP 03 (2009) 016 0812.3668
13 S. Abel, M. J. Dolan, J. Jaeckel, and V. V. Khoze Phenomenology of pure general gauge mediation JHEP 12 (2009) 001 0910.2674
14 L. M. Carpenter, M. Dine, G. Festuccia, and J. D. Mason Implementing general gauge mediation PRD 79 (2009) 035002 0805.2944
15 T. T. Dumitrescu, Z. Komargodski, N. Seiberg, and D. Shih General messenger gauge mediation JHEP 05 (2010) 096 1003.2661
16 ATLAS Collaboration Search for photonic signatures of gauge-mediated supersymmetry in 8 TeV pp collisions with the ATLAS detector PRD 92 (2015) 072001 1507.05493
17 CMS Collaboration Search for supersymmetry in events with a lepton, a photon, and large missing transverse energy in pp collisions at $ \sqrt{s} = $ 7 TeV JHEP 06 (2011) 093 CMS-SUS-11-002
1105.3152
18 CMS Collaboration Search for supersymmetry with photons in $ pp $ collisions at $ \sqrt{s} = $ 8 TeV PRD 92 (2015) 072006 CMS-SUS-14-004
1507.02898
19 CMS Collaboration Search for supersymmetry in events with a photon, a lepton, and missing transverse momentum in pp collisions at $ \sqrt{s} = $ 8 TeV PLB 757 (2016) 6 CMS-SUS-14-013
1508.01218
20 CMS Collaboration Interpretation of searches for supersymmetry with simplified models PRD 88 (2013) 052017 CMS-SUS-11-016
1301.2175
21 CMS Collaboration Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at $ \sqrt{s} = $ 8 TeV JINST 10 (2015) P08010 CMS-EGM-14-001
1502.02702
22 CMS Collaboration Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at $ \sqrt{s} = $ 8 TeV JINST 10 (2015) P06005 CMS-EGM-13-001
1502.02701
23 CMS Collaboration Performance of CMS muon reconstruction in pp collision events at $ \sqrt{s} = $ 7 TeV JINST 7 (2012) P10002 CMS-MUO-10-004
1206.4071
24 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
25 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
26 CMS Collaboration Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s} = $ 13 TeV CMS-MUO-16-001
1804.04528
27 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_t $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
28 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
29 M. Cacciari and G. P. Salam Pileup subtraction using jet areas PLB 659 (2008) 119 0707.1378
30 J. Alwall et al. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations JHEP 07 (2014) 079 1405.0301
31 T. Sjostrand et al. An introduction to PYTHIA 8.2 CPC 191 (2015) 159 1410.3012
32 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016) 155 CMS-GEN-14-001
1512.00815
33 G. Bozzi et al. Production of Drell--Yan lepton pairs in hadron collisions: Transverse-momentum resummation at next-to-next-to-leading logarithmic accuracy PLB 696 (2011) 207 1007.2351
34 GEANT4 Collaboration GEANT4---a simulation toolkit NIMA 506 (2003) 250
35 CMS Collaboration Search for top-squark pair production in the single-lepton final state in pp collisions at $ \sqrt{s} = $ 8 TeV EPJC 73 (2013) 2677 CMS-SUS-13-011
1308.1586
36 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
37 Particle Data Group, C. Patrignani et al. Review of particle physics CPC 40 (2016) 100001
38 CMS Collaboration Measurement of the inclusive W and Z production cross sections in pp collisions at $ \sqrt{s} = $ 7 TeV JHEP 10 (2011) 132 CMS-EWK-10-005
1107.4789
39 CMS Collaboration Measurement of the semileptonic $ \mathrm{t\bar{t}} $+$ \gamma $ production cross section in pp collisions at $ \sqrt{s} = $ 8 TeV JHEP 10 (2017) 006 CMS-TOP-14-008
1706.08128
40 CMS Collaboration Measurement of the $ t\bar{t} $ production cross section using events in the e$ \mu $ final state in pp collisions at $ \sqrt{s} = $ 13 TeV EPJC 77 (2017) 172 CMS-TOP-16-005
1611.04040
41 CMS Collaboration The fast simulation of the CMS detector at LHC J. Phys. Conf. Ser. 331 (2011) 032049
42 T. Junk Confidence level computation for combining searches with small statistics NIMA 434 (1999) 435 hep-ex/9902006
43 A. L. Read Presentation of search results: The CLs technique JPG 28 (2002) 2693
Compact Muon Solenoid
LHC, CERN