Loading [MathJax]/jax/output/CommonHTML/jax.js
CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-SUS-23-004 ; CERN-EP-2025-025
Search for dark matter production in association with a single top quark in proton-proton collisions at s= 13 TeV
Submitted to J. High Energy Phys.
Abstract: A search for the production of a single top quark in association with invisible particles is performed using proton-proton collision data collected with the CMS detector at the LHC at s= 13 TeV, corresponding to an integrated luminosity of 138 fb1. In this search, a flavor-changing neutral current produces a single top quark or antiquark and an invisible state nonresonantly. The invisible state consists of a hypothetical spin-1 particle acting as a new mediator and decaying to two spin-1/2 dark matter candidates. The analysis searches for events in which the top quark or antiquark decays hadronically. No significant excess of events compatible with that signature is observed. Exclusion limits at 95% confidence level are placed on the masses of the spin-1 mediator and the dark matter candidates, and are compared to constraints from the dark matter relic density measurements. In a vector (axial-vector) coupling scenario, masses of the spin-1 mediator are excluded up to 1.85 (1.85) TeV with an expectation of 2.0 (2.0) TeV, whereas masses of the dark matter candidates are excluded up to 0.75 (0.55) TeV with an expectation of 0.85 (0.65) TeV.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Representative Feynman diagram of nonresonant mono-top production at tree level via a flavor-changing neutral current mediated by the spin-1 boson \mathrm{M}. The off-shell up quark (u) decays into an on-shell top quark (t) and an \mathrm{M} boson. The \mathrm{M} boson decays directly to a pair of DM candidates χ and ¯χ.

png pdf
Figure 2:
Prefit distribution of the magnitude of the hadronic recoil RT in the SR. The last bin of the distribution also contains events with RT> 1000 GeV. The distributions of background processes stem from simulation and are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and unconstrained systematic uncertainties in the simulated event yields.

png pdf
Figure 3:
Categorization of events into SRs and CRs, which are sensitive to specific processes, namely the mono-top signal, V+jets (V=Z,W,γ) processes, and t¯t production. Each column contains categories that target the same process. For CRs with leptons in the final state, a version with electrons and a version with muons in the final states exist. Finally, in each category a split is performed based on whether the leading AK15 jet is t tagged or not.

png pdf
Figure 4:
Prefit distributions of the magnitude of the hadronic recoil RT in the SR (t-pass) and SR (t-fail). The last bin of each distribution also contains events with RT> 1000 GeV. The distributions of background processes stem from simulation and are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and unconstrained systematic uncertainties in the simulated event yields.

png pdf
Figure 4-a:
Prefit distributions of the magnitude of the hadronic recoil RT in the SR (t-pass) and SR (t-fail). The last bin of each distribution also contains events with RT> 1000 GeV. The distributions of background processes stem from simulation and are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and unconstrained systematic uncertainties in the simulated event yields.

png pdf
Figure 4-b:
Prefit distributions of the magnitude of the hadronic recoil RT in the SR (t-pass) and SR (t-fail). The last bin of each distribution also contains events with RT> 1000 GeV. The distributions of background processes stem from simulation and are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and unconstrained systematic uncertainties in the simulated event yields.

png pdf
Figure 5:
Statistical model used for the estimation of the major background processes for one bin of the RT distribution. The contributions of Z(νν)+jets and t¯t production in the SR are estimated with freely floating parameters rZ(νν) and rt¯t. Constraints on Z(νν)+jets production are obtained by expressing similar processes in the SR and CRs as products of rZ(νν) and a TF, obtained from simulation. Concerning t¯t production, the t¯t processes in the t¯t(ν) and W(ν) CRs are expressed in terms of rt¯t and a TF. All processes not depicted in this illustration are estimated using simulated events. Regions containing charged leptons are included twice in this model, once for electrons and once for muons. The model is implemented for the t-pass and t-fail regions separately.

png pdf
Figure 6:
Postfit distributions of the magnitude of the hadronic recoil RT in the SR (t-pass) and SR (t-fail) after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 6-a:
Postfit distributions of the magnitude of the hadronic recoil RT in the SR (t-pass) and SR (t-fail) after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 6-b:
Postfit distributions of the magnitude of the hadronic recoil RT in the SR (t-pass) and SR (t-fail) after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. A representative mono-top signal (vector coupling scenario) with a mediator mass of 1 TeV, a DM candidate mass of 150 GeV, and a cross section of 1 pb is overlaid as an orange line. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 7:
Upper limits at 95% CL on σB of mono-top production presented in the two-dimensional plane spanned by the mediator and DM candidate masses for a mediator mass between 200 and 2250 GeV and a DM candidate mass between 1 and 1125 GeV only considering on-shell decays of the mediator to the DM candidates. The mediator has vector couplings to quarks and DM candidates in the upper plot and axial-vector couplings in the lower plot. The median expected exclusion range is indicated by a black solid line, demonstrating the search sensitivity of the analysis. The 68% probability interval of the expected exclusion is shown in black dashed lines. Contours of theory predictions for constant values of σB are shown in gray dashed lines. The observed exclusion contour of mediator and DM candidate masses is represented by the red solid line. The exclusion contour obtained from measurements of the DM relic density Ωnbmh2 by the Planck Collaboration is shown in the gray solid line.

png pdf
Figure 7-a:
Upper limits at 95% CL on σB of mono-top production presented in the two-dimensional plane spanned by the mediator and DM candidate masses for a mediator mass between 200 and 2250 GeV and a DM candidate mass between 1 and 1125 GeV only considering on-shell decays of the mediator to the DM candidates. The mediator has vector couplings to quarks and DM candidates in the upper plot and axial-vector couplings in the lower plot. The median expected exclusion range is indicated by a black solid line, demonstrating the search sensitivity of the analysis. The 68% probability interval of the expected exclusion is shown in black dashed lines. Contours of theory predictions for constant values of σB are shown in gray dashed lines. The observed exclusion contour of mediator and DM candidate masses is represented by the red solid line. The exclusion contour obtained from measurements of the DM relic density Ωnbmh2 by the Planck Collaboration is shown in the gray solid line.

png pdf
Figure 7-b:
Upper limits at 95% CL on σB of mono-top production presented in the two-dimensional plane spanned by the mediator and DM candidate masses for a mediator mass between 200 and 2250 GeV and a DM candidate mass between 1 and 1125 GeV only considering on-shell decays of the mediator to the DM candidates. The mediator has vector couplings to quarks and DM candidates in the upper plot and axial-vector couplings in the lower plot. The median expected exclusion range is indicated by a black solid line, demonstrating the search sensitivity of the analysis. The 68% probability interval of the expected exclusion is shown in black dashed lines. Contours of theory predictions for constant values of σB are shown in gray dashed lines. The observed exclusion contour of mediator and DM candidate masses is represented by the red solid line. The exclusion contour obtained from measurements of the DM relic density Ωnbmh2 by the Planck Collaboration is shown in the gray solid line.

png pdf
Figure 8:
Postfit distributions of the magnitude of the hadronic recoil RT in the W(eν) (t-pass) and W(eν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 8-a:
Postfit distributions of the magnitude of the hadronic recoil RT in the W(eν) (t-pass) and W(eν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 8-b:
Postfit distributions of the magnitude of the hadronic recoil RT in the W(eν) (t-pass) and W(eν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 9:
Postfit distributions of the magnitude of the hadronic recoil RT in the W(μν) (t-pass) and W(μν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 9-a:
Postfit distributions of the magnitude of the hadronic recoil RT in the W(μν) (t-pass) and W(μν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 9-b:
Postfit distributions of the magnitude of the hadronic recoil RT in the W(μν) (t-pass) and W(μν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 10:
Postfit distributions of the magnitude of the hadronic recoil RT in the Z(ee) (t-pass) and Z(ee) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 10-a:
Postfit distributions of the magnitude of the hadronic recoil RT in the Z(ee) (t-pass) and Z(ee) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 10-b:
Postfit distributions of the magnitude of the hadronic recoil RT in the Z(ee) (t-pass) and Z(ee) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 11:
Postfit distributions of the magnitude of the hadronic recoil RT in the Z(μμ) (t-pass) and Z(μμ) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 11-a:
Postfit distributions of the magnitude of the hadronic recoil RT in the Z(μμ) (t-pass) and Z(μμ) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 11-b:
Postfit distributions of the magnitude of the hadronic recoil RT in the Z(μμ) (t-pass) and Z(μμ) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 12:
Postfit distributions of the magnitude of the hadronic recoil RT in the t¯t(eν) (t-pass) and t¯t(eν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 12-a:
Postfit distributions of the magnitude of the hadronic recoil RT in the t¯t(eν) (t-pass) and t¯t(eν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 12-b:
Postfit distributions of the magnitude of the hadronic recoil RT in the t¯t(eν) (t-pass) and t¯t(eν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 13:
Postfit distributions of the magnitude of the hadronic recoil RT in the t¯t(μν) (t-pass) and t¯t(μν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 13-a:
Postfit distributions of the magnitude of the hadronic recoil RT in the t¯t(μν) (t-pass) and t¯t(μν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 13-b:
Postfit distributions of the magnitude of the hadronic recoil RT in the t¯t(μν) (t-pass) and t¯t(μν) (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 14:
Postfit distributions of the magnitude of the hadronic recoil RT in the γ (t-pass) and γ (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 14-a:
Postfit distributions of the magnitude of the hadronic recoil RT in the γ (t-pass) and γ (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 14-b:
Postfit distributions of the magnitude of the hadronic recoil RT in the γ (t-pass) and γ (t-fail) CRs after a fit of the background model to the data. The last bin of each distribution also contains events with RT> 1000 GeV. The background processes are stacked together. The gray band represents the statistical and postfit systematic uncertainties in the predicted background yields after the fit.

png pdf
Figure 15:
Upper limits at 95% CL on σB of mono-top production presented in the two-dimensional plane spanned by the mediator and DM candidate masses for a mediator mass between 200 and 2250 GeV and a DM candidate mass between 1 and 1125 GeV only considering on-shell decays of the mediator to the DM candidates. The mediator has vector couplings to quarks and DM candidates in the upper plot and axial-vector couplings in the lower plot. The median expected exclusion range is indicated by a black solid line, demonstrating the search sensitivity of the analysis. The 68% probability interval of the expected exclusion is shown in black dashed lines. Contours of theory predictions for constant values of σB are shown in gray dashed lines. The observed exclusion contour of mediator and DM candidate masses is represented by the red solid line. The exclusion contour obtained from measurements of the DM relic density Ωnbmh2 by the Planck Collaboration is shown in the gray solid line.

png pdf
Figure 15-a:
Upper limits at 95% CL on σB of mono-top production presented in the two-dimensional plane spanned by the mediator and DM candidate masses for a mediator mass between 200 and 2250 GeV and a DM candidate mass between 1 and 1125 GeV only considering on-shell decays of the mediator to the DM candidates. The mediator has vector couplings to quarks and DM candidates in the upper plot and axial-vector couplings in the lower plot. The median expected exclusion range is indicated by a black solid line, demonstrating the search sensitivity of the analysis. The 68% probability interval of the expected exclusion is shown in black dashed lines. Contours of theory predictions for constant values of σB are shown in gray dashed lines. The observed exclusion contour of mediator and DM candidate masses is represented by the red solid line. The exclusion contour obtained from measurements of the DM relic density Ωnbmh2 by the Planck Collaboration is shown in the gray solid line.

png pdf
Figure 15-b:
Upper limits at 95% CL on σB of mono-top production presented in the two-dimensional plane spanned by the mediator and DM candidate masses for a mediator mass between 200 and 2250 GeV and a DM candidate mass between 1 and 1125 GeV only considering on-shell decays of the mediator to the DM candidates. The mediator has vector couplings to quarks and DM candidates in the upper plot and axial-vector couplings in the lower plot. The median expected exclusion range is indicated by a black solid line, demonstrating the search sensitivity of the analysis. The 68% probability interval of the expected exclusion is shown in black dashed lines. Contours of theory predictions for constant values of σB are shown in gray dashed lines. The observed exclusion contour of mediator and DM candidate masses is represented by the red solid line. The exclusion contour obtained from measurements of the DM relic density Ωnbmh2 by the Planck Collaboration is shown in the gray solid line.
Tables

png pdf
Table 1:
Requirements on electrons, photons, and muons that pass the loose or tight selection. For all objects, the minimal pT, the maximal |η|, and the efficiency of the object identification (ID) are provided. For muons, the requirements on the relative isolation Iμrel are also listed. A more detailed discussion is given in the text.

png pdf
Table 2:
Overview of the selections for the SR and the CRs, including the preselection. In the Z() CRs, loose leptons are used for the selection of additional objects in the final state. In all other CRs, leptons and photons from the tight collections are used to determine the number of additional objects. CRs with final state leptons are defined separately for electrons and muons.
Summary
A search for dark matter (DM) produced in association with a single top quark via a flavor changing neutral current, referred to as nonresonant mono-top production, was presented. The analysis was performed using data collected by the CMS experiment in 2016, 2017, and 2018 at the LHC at a center-of-mass-energy of 13 TeV, and corresponding to an integrated luminosity of 138 fb1. The Lorentz boost of the top quark is exploited to cluster the products of the hadronic top quark decay into a large-radius jet. Furthermore, a machine-learning-based discriminator is used to distinguish large-radius jets originating from hadronic top quark decays and large-radius jets produced purely through quantum chromodynamics processes. A robust statistical model was built to determine the main backgrounds in the signal regions using data in dedicated control regions. The distribution of the hadronic recoil in the signal and control regions is used to perform the statistical fit to the data. The data are consistent with the background-only hypothesis, and no evidence for DM produced in association with a single top quark was found. Limits at 95% confidence level are calculated for the product of the signal production cross section and the branching fraction of the mediator decaying into DM candidates. Limits were obtained for both a purely vector and a purely axial-vector mediator that couples to two DM candidates and to two standard model quarks: one from the first generation and another from the third. The analysis excludes mediators with masses up to 1.85 TeV, where 2.0 TeV is expected, for both the vector and the axial-vector coupling scenarios. Dark matter candidate masses below 750 (550) GeV, where 850 (650) GeV is expected, are excluded for the vector (axial-vector) coupling scenario. In both cases, the exclusion limits are calculated for mediator masses greater than 200 GeV and DM candidate masses greater than 1 GeV. The exclusion limit on the spin-1 mediator mass obtained in this search exceeds the previous CMS result on mono-top production [27] using the 2016 data set by 100 GeV.
References
1 V. C. Rubin and W. K. Ford, Jr. Rotation of the Andromeda Nebula from a spectroscopic survey of emission regions Astrophys. J. 159 (1970) 379
2 M. Markevitch et al. Direct constraints on the dark matter self-interaction cross section from the merging galaxy cluster 1E 0657-56 Astrophys. J. 606 (2004) 819 astro-ph/0309303
3 Planck Collaboration Planck 2018 results. VI. cosmological parameters Astron. Astrophys. 641 (2020) A6 1807.06209
4 M. Beltran et al. Maverick dark matter at colliders JHEP 09 (2010) 037 1002.4137
5 P. J. Fox, R. Harnik, J. Kopp, and Y. Tsai Missing energy signatures of dark matter at the LHC PRD 85 (2012) 056011 1109.4398
6 J. Goodman et al. Constraints on dark matter from colliders PRD 82 (2010) 116010 1008.1783
7 A. Rajaraman, W. Shepherd, T. M. P. Tait, and A. M. Wijangco LHC bounds on interactions of dark matter PRD 84 (2011) 095013 1108.1196
8 ATLAS Collaboration Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at s= 8 TeV with the ATLAS detector EPJC 75 (2015) 299 1502.01518
9 Y. Bai and T. M. P. Tait Searches with mono-leptons PLB 723 (2013) 384 1208.4361
10 ATLAS Collaboration Search for dark matter in events with a hadronically decaying W or Z boson and missing transverse momentum in pp collisions at s= 8 TeV with the ATLAS detector PRL 112 (2014) 041802 1309.4017
11 CMS Collaboration Search for physics beyond the standard model in final states with a lepton and missing transverse energy in proton-proton collisions at s= 8 TeV PRD 91 (2015) 092005 CMS-EXO-12-060
1408.2745
12 N. F. Bell et al. Searching for dark matter at the LHC with a mono-Z PRD 86 (2012) 096011 1209.0231
13 L. M. Carpenter et al. Collider searches for dark matter in events with a Z boson and missing energy PRD 87 (2013) 074005 1212.3352
14 ATLAS Collaboration Search for dark matter in events with a Z boson and missing transverse momentum in pp collisions at s= 8 TeV with the ATLAS detector PRD 90 (2014) 012004 1404.0051
15 L. Carpenter et al. Mono-Higgs-boson: A new collider probe of dark matter PRD 89 (2014) 075017 1312.2592
16 A. Berlin, T. Lin, and L.-T. Wang Mono-Higgs detection of dark matter at the LHC JHEP 06 (2014) 078 1402.7074
17 CMS Collaboration Search for new phenomena in monophoton final states in proton-proton collisions at s= 8 TeV PLB 755 (2016) 102 CMS-EXO-12-047
1410.8812
18 ATLAS Collaboration Search for new phenomena in events with a photon and missing transverse momentum in pp collisions at s= 8 TeV with the ATLAS detector PRD 91 (2015) 012008 1411.1559
19 CMS Collaboration Search for new particles in events with energetic jets and large missing transverse momentum in proton-proton collisions at s= 13 TeV JHEP 11 (2021) 153 CMS-EXO-20-004
2107.13021
20 ATLAS Collaboration Search for new phenomena in events with an energetic jet and missing transverse momentum in pp collisions at s= 13 TeV with the ATLAS detector PRD 103 (2021) 112006 2102.10874
21 CMS Collaboration Search for dark matter produced in association with a leptonically decaying Z boson in proton-proton collisions at s= 13 TeV EPJC 81 (2021) 13 CMS-EXO-19-003
2008.04735
22 ATLAS Collaboration Search for associated production of a Z boson with an invisibly decaying Higgs boson or dark matter candidates at s= 13 TeV with the ATLAS detector PLB 829 (2022) 137066 2111.08372
23 CMS Collaboration Search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks in proton-proton collisions at s= 13 TeV EPJC 79 (2019) 280 CMS-EXO-16-050
1811.06562
24 CMS Collaboration Search for dark matter particles produced in association with a Higgs boson in proton-proton collisions at s= 13 TeV JHEP 03 (2020) 025 CMS-EXO-18-011
1908.01713
25 CMS Collaboration Search for new physics in final states with a single photon and missing transverse momentum in proton-proton collisions at s= 13 TeV JHEP 02 (2019) 074 CMS-EXO-16-053
1810.00196
26 ATLAS Collaboration Search for dark matter in association with an energetic photon in pp collisions at s= 13 TeV with the ATLAS detector JHEP 02 (2021) 226 2011.05259
27 CMS Collaboration Search for dark matter in events with energetic, hadronically decaying top quarks and missing transverse momentum at s= 13 TeV JHEP 06 (2018) 027 CMS-EXO-16-051
1801.08427
28 N. Cabibbo Unitary symmetry and leptonic decays PRL 10 (1963) 531
29 M. Kobayashi and T. Maskawa CP-violation in the renormalizable theory of weak interaction Prog. Theor. Phys. 49 (1973) 652
30 S. L. Glashow, J. Iliopoulos, and L. Maiani Weak interactions with lepton-hadron symmetry PRD 2 (1970) 1285
31 J. Andrea, B. Fuks, and F. Maltoni Monotops at the LHC PRD 84 (2011) 074025 1106.6199
32 H. Qu and L. Gouskos Jet tagging via particle clouds PRD 101 (2020) 056019 1902.08570
33 CMS Collaboration HEPData record for this analysis link
34 CMS Collaboration Performance of the CMS Level-1 trigger in proton-proton collisions at s= 13 TeV JINST 15 (2020) P10017 CMS-TRG-17-001
2006.10165
35 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
36 CMS Collaboration Performance of the CMS high-level trigger during LHC Run 2 JINST 19 (2024) P11021 CMS-TRG-19-001
2410.17038
37 CMS Collaboration Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015
link
38 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
39 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064 CMS-PRF-21-001
2309.05466
40 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
41 M. Cacciari, G. P. Salam, and G. Soyez The anti-kT jet clustering algorithm JHEP 04 (2008) 063 0802.1189
42 M. Cacciari, G. P. Salam, and G. Soyez FASTJET user manual EPJC 72 (2012) 1896 1111.6097
43 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
44 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
45 CMS Collaboration Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV JINST 12 (2017) P02014 CMS-JME-13-004
1607.03663
46 CMS Collaboration Performance of missing transverse momentum reconstruction in proton-proton collisions at s= 13 TeV using the CMS detector JINST 14 (2019) P07004 CMS-JME-17-001
1903.06078
47 CMS Collaboration Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC JINST 16 (2021) P05014 CMS-EGM-17-001
2012.06888
48 CMS Collaboration Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at s= 13 TeV JINST 19 (2024) P02031 CMS-MUO-22-001
2310.03844
49 E. Bols et al. Jet flavour classification using DeepJet JINST 15 (2020) P12012 2008.10519
50 A. Albert et al. Recommendations of the LHC Dark Matter Working Group: Comparing LHC searches for dark matter mediators in visible and invisible decay channels and calculations of the thermal relic density Phys. Dark Univ. 26 (2019) 100377 1703.05703
51 T. Sjöstrand et al. An introduction to PYTHIA8.2 Comput. Phys. Commun. 191 (2015) 159 1410.3012
52 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
53 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
54 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
55 S. Alioli, P. Nason, C. Oleari, and E. Re A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG box JHEP 06 (2010) 043 1002.2581
56 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
57 CMS Collaboration Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements EPJC 80 (2020) 4 CMS-GEN-17-001
1903.12179
58 GEANT4 Collaboration GEANT 4---a simulation toolkit NIM A 506 (2003) 250
59 K. Mawatari et al. DMsimp: Simplified dark matter models link
60 O. Mattelaer On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy EPJC 76 (2016) 674 1607.00763
61 S. Frixione, G. Ridolfi, and P. Nason A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction JHEP 09 (2007) 126 0707.3088
62 M. Beneke, P. Falgari, S. Klein, and C. Schwinn Hadronic top-quark pair production with NNLL threshold resummation NPB 855 (2012) 695 1109.1536
63 M. Cacciari et al. Top-pair production at hadron colliders with next-to-next-to-leading logarithmic soft-gluon resummation PLB 710 (2012) 612 1111.5869
64 P. Bärnreuther, M. Czakon, and A. Mitov Percent level precision physics at the Tevatron: Next-to-next-to-leading order QCD corrections to q¯qt¯t+X PRL 109 (2012) 132001 1204.5201
65 M. Czakon and A. Mitov NNLO corrections to top-pair production at hadron colliders: the all-fermionic scattering channels JHEP 12 (2012) 054 1207.0236
66 M. Czakon and A. Mitov NNLO corrections to top pair production at hadron colliders: the quark-gluon reaction JHEP 01 (2013) 080 1210.6832
67 M. Czakon, P. Fiedler, and A. Mitov Total top-quark pair-production cross section at hadron colliders through O(αS4) PRL 110 (2013) 252004 1303.6254
68 M. Czakon and A. Mitov top++: a program for the calculation of the top-pair cross-section at hadron colliders Comput. Phys. Commun. 185 (2014) 2930 1112.5675
69 S. Alioli, P. Nason, C. Oleari, and E. Re NLO single-top production matched with shower in POWHEG: s- and t-channel contributions JHEP 09 (2009) 111 0907.4076
70 E. Re Single-top Wt-channel production matched with parton showers using the POWHEG method EPJC 71 (2011) 1547 1009.2450
71 M. Aliev et al. hathor: Hadronic top and heavy quarks cross section calculator Comput. Phys. Commun. 182 (2011) 1034 1007.1327
72 P. Kant et al. hathor for single top-quark production: Updated predictions and uncertainty estimates for single top-quark production in hadronic collisions Comput. Phys. Commun. 191 (2015) 74 1406.4403
73 N. Kidonakis Two-loop soft anomalous dimensions for single top quark associated production with a W or H PRD 82 (2010) 054018 1005.4451
74 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
75 J. M. Lindert et al. Precise predictions for V+jets dark matter backgrounds EPJC 77 (2017) 829 1705.04664
76 T. Gehrmann et al. W+W production at hadron colliders in next to next to leading order QCD PRL 113 (2014) 212001 1408.5243
77 F. Cascioli et al. ZZ production at hadron colliders in NNLO QCD PLB 735 (2014) 311 1405.2219
78 J. M. Campbell, R. K. Ellis, and C. Williams Vector boson pair production at the LHC JHEP 07 (2011) 018 1105.0020
79 Particle Data Group , S. Navas et al. Review of particle physics PRD 110 (2024) 030001
80 M. Cacciari and G. P. Salam Pileup subtraction using jet areas PLB 659 (2008) 119 0707.1378
81 CMS Collaboration The CMS statistical analysis and combination tool: combine Comput. Softw. Big Sci. 8 (2024) 19 CMS-CAT-23-001
2404.06614
82 W. Verkerke and D. Kirkby The RooFit toolkit for data modeling in Proc. 13th International Conference on Computing in High Energy and Nuclear Physics (CHEP ): La Jolla CA, United States, 2003
link
physics/0306116
83 L. Moneta et al. The RooStats project in Proc. 13th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT ): Jaipur, India, 2010
link
1009.1003
84 A. Buckley et al. LHAPDF6: parton density access in the LHC precision era EPJC 75 (2015) 132 1412.7420
85 J. Butterworth et al. PDF4LHC recommendations for LHC Run 2 JPG 43 (2016) 023001 1510.03865
86 CMS Collaboration Measurement of differential cross sections for top quark pair production using the lepton+jets final state in proton-proton collisions at 13 TeV PRD 95 (2017) 092001 CMS-TOP-16-008
1610.04191
87 CMS Collaboration Precision luminosity measurement in proton-proton collisions at s= 13 TeV in 2015 and 2016 at CMS EPJC 81 (2021) 800 CMS-LUM-17-003
2104.01927
88 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at s= 13 TeV CMS Physics Analysis Summary, 2018
CMS-PAS-LUM-17-004
CMS-PAS-LUM-17-004
89 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at s= 13 TeV CMS Physics Analysis Summary, 2019
CMS-PAS-LUM-18-002
CMS-PAS-LUM-18-002
90 CMS Collaboration Measurement of the inelastic proton-proton cross section at s= 13 TeV JHEP 07 (2018) 161 CMS-FSQ-15-005
1802.02613
91 CMS Collaboration Jet energy scale and resolution performance with 13 TeV data collected by CMS in 2016--2018 CMS Detector Performance Note CMS-DP-2020-019, 2020
CDS
92 CMS Collaboration Jet energy scale and resolution measurements with legacy Run 2 data collected by CMS at 13 TeV CMS Detector Performance Note CMS-DP-2021-033, 2021
CDS
93 CMS Collaboration Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV JINST 13 (2018) P05011 CMS-BTV-16-002
1712.07158
94 R. Barlow and C. Beeston Fitting using finite Monte Carlo samples Comput. Phys. Commun. 77 (1993) 219
95 R. D. Cousins Lectures on statistics in theory: Prelude to statistics in practice 1807.05996
96 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
97 T. Junk Confidence level computation for combining searches with small statistics NIM A 434 (1999) 435 hep-ex/9902006
98 A. L. Read Presentation of search results: The CLs technique JPG 28 (2002) 2693
99 M. Backovic, K. Kong, and M. McCaskey MadDM v.1.0: Computation of dark matter relic abundance using MADGRAPH5 Phys. Dark Univ. 5-6 (2014) 18 1308.4955
100 F. Ambrogi et al. MadDM v.3.0: A comprehensive tool for dark matter studies Phys. Dark Univ. 24 (2019) 100249 1804.00044
Compact Muon Solenoid
LHC, CERN