CMS-EXO-22-014 ; CERN-EP-2024-338 | ||
Search for dark matter produced in association with one or two top quarks in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | ||
CMS Collaboration | ||
24 January 2025 | ||
Submitted to J. High Energy Phys. | ||
Abstract: A search is performed for dark matter (DM) produced in association with a single top quark or a pair of top quarks using the data collected with the CMS detector at the LHC from proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to 138 fb$ ^{-1} $ of integrated luminosity. Events are classified into zero-lepton, single-lepton, and two-lepton final states. The results are derived from the combination of these different categories. An excess of events with respect to the background-only prediction is searched for in events with a large imbalance in the transverse momentum. Novel multivariate techniques are used to take advantage of the differences in kinematic properties between the two DM production mechanisms. No significant deviations with respect to the standard model predictions are observed. The results are interpreted in the context of a simplified model in which either a scalar or pseudoscalar mediator couples to top quarks and to DM fermions, as well as for axion-like particles that are coupled to top quarks and DM fermions. Expected exclusion limits of 410 and 380 GeV for scalar and pseudoscalar mediator masses, respectively, are set at the 95% confidence level. A DM particle mass of 1 GeV is assumed, with mediator couplings to fermions and DM particles set to unity. A small signal-like excess is observed in data. Because of this excess, mediator masses are only excluded below 310 (320) GeV for the scalar (pseudoscalar) mediator. The results are also translated into model-independent 95% confidence level upper limits on the visible cross section of DM production in association with top quarks, ranging from 1 pb to 0.02 pb. | ||
Links: CDS record ; CADI line (restricted) ; |
Figures | |
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Figure 1:
Principal production diagrams in the context of the simplified model with a scalar/pseudoscalar ($ \phi/\mathrm{a} $) mediator for the associated production of a pair of DM particles ($ \chi $) with a top quark pair (left) and a single top quark in both $ t $-channel (center), and tW-channel (right) production modes. The additional quark $ \mathrm{q} $ in the $ t $-channel diagram is often produced at high pseudorapidity. |
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Figure 1-a:
Principal production diagrams in the context of the simplified model with a scalar/pseudoscalar ($ \phi/\mathrm{a} $) mediator for the associated production of a pair of DM particles ($ \chi $) with a top quark pair (left) and a single top quark in both $ t $-channel (center), and tW-channel (right) production modes. The additional quark $ \mathrm{q} $ in the $ t $-channel diagram is often produced at high pseudorapidity. |
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Figure 1-b:
Principal production diagrams in the context of the simplified model with a scalar/pseudoscalar ($ \phi/\mathrm{a} $) mediator for the associated production of a pair of DM particles ($ \chi $) with a top quark pair (left) and a single top quark in both $ t $-channel (center), and tW-channel (right) production modes. The additional quark $ \mathrm{q} $ in the $ t $-channel diagram is often produced at high pseudorapidity. |
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Figure 1-c:
Principal production diagrams in the context of the simplified model with a scalar/pseudoscalar ($ \phi/\mathrm{a} $) mediator for the associated production of a pair of DM particles ($ \chi $) with a top quark pair (left) and a single top quark in both $ t $-channel (center), and tW-channel (right) production modes. The additional quark $ \mathrm{q} $ in the $ t $-channel diagram is often produced at high pseudorapidity. |
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Figure 2:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the three AH SRs: 1b 0FJ (top left), 1b 1FJ (top right), and 2b (bottom). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 2-a:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the three AH SRs: 1b 0FJ (top left), 1b 1FJ (top right), and 2b (bottom). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 2-b:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the three AH SRs: 1b 0FJ (top left), 1b 1FJ (top right), and 2b (bottom). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 2-c:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the three AH SRs: 1b 0FJ (top left), 1b 1FJ (top right), and 2b (bottom). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 3:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the six SL SRs: 1b 0FJ ($ t \leq $ 0) (top left), 1b 0FJ ($ t > $ 0) (top right), 1b 1FJ ($ t \leq $ 0) (center left), 1b 1FJ ($ t > $ 0) (center right), 2b ($ t \leq $ 0) (bottom left), and 2b ($ t > $ 0) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 3-a:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the six SL SRs: 1b 0FJ ($ t \leq $ 0) (top left), 1b 0FJ ($ t > $ 0) (top right), 1b 1FJ ($ t \leq $ 0) (center left), 1b 1FJ ($ t > $ 0) (center right), 2b ($ t \leq $ 0) (bottom left), and 2b ($ t > $ 0) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 3-b:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the six SL SRs: 1b 0FJ ($ t \leq $ 0) (top left), 1b 0FJ ($ t > $ 0) (top right), 1b 1FJ ($ t \leq $ 0) (center left), 1b 1FJ ($ t > $ 0) (center right), 2b ($ t \leq $ 0) (bottom left), and 2b ($ t > $ 0) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 3-c:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the six SL SRs: 1b 0FJ ($ t \leq $ 0) (top left), 1b 0FJ ($ t > $ 0) (top right), 1b 1FJ ($ t \leq $ 0) (center left), 1b 1FJ ($ t > $ 0) (center right), 2b ($ t \leq $ 0) (bottom left), and 2b ($ t > $ 0) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 3-d:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the six SL SRs: 1b 0FJ ($ t \leq $ 0) (top left), 1b 0FJ ($ t > $ 0) (top right), 1b 1FJ ($ t \leq $ 0) (center left), 1b 1FJ ($ t > $ 0) (center right), 2b ($ t \leq $ 0) (bottom left), and 2b ($ t > $ 0) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 3-e:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the six SL SRs: 1b 0FJ ($ t \leq $ 0) (top left), 1b 0FJ ($ t > $ 0) (top right), 1b 1FJ ($ t \leq $ 0) (center left), 1b 1FJ ($ t > $ 0) (center right), 2b ($ t \leq $ 0) (bottom left), and 2b ($ t > $ 0) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 3-f:
The main discriminant distribution $ p_{\mathrm{T}}^\text{miss} $ in the six SL SRs: 1b 0FJ ($ t \leq $ 0) (top left), 1b 0FJ ($ t > $ 0) (top right), 1b 1FJ ($ t \leq $ 0) (center left), 1b 1FJ ($ t > $ 0) (center right), 2b ($ t \leq $ 0) (bottom left), and 2b ($ t > $ 0) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 4:
The main discriminant distribution NN in the the four DL SRs: 2b (DF) (top left), 2b (SF) (top right), 1b (DF) (bottom left), and 1b (SF) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 4-a:
The main discriminant distribution NN in the the four DL SRs: 2b (DF) (top left), 2b (SF) (top right), 1b (DF) (bottom left), and 1b (SF) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 4-b:
The main discriminant distribution NN in the the four DL SRs: 2b (DF) (top left), 2b (SF) (top right), 1b (DF) (bottom left), and 1b (SF) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 4-c:
The main discriminant distribution NN in the the four DL SRs: 2b (DF) (top left), 2b (SF) (top right), 1b (DF) (bottom left), and 1b (SF) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 4-d:
The main discriminant distribution NN in the the four DL SRs: 2b (DF) (top left), 2b (SF) (top right), 1b (DF) (bottom left), and 1b (SF) (bottom right). The solid histograms for the simulated SM backgrounds are summed cumulatively and rescaled to luminosity and the grey dashed band represents the associated statistical uncertainty. The data are represented by solid points with the horizontal bar indicates the width of the bin and the vertical one the associated statistical uncertainty. A representative signal model distribution is also shown. The last bin contains overflow events. In the lower plots the ratio between data and the total SM background after the simultaneous fit is presented with the total associated uncertainty. |
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Figure 5:
The model-independent 95% CL limits on production cross section for new physics processes for the scalar (left) and pseudoscalar (right) interactions. The expected limit is shown by the black dashed line with the 68 and 95% CL uncertainty bands in green and yellow, respectively, while the observed limit is shown by the solid black line. Theoretical LO cross section values for the DM model and their associated uncertainties are also presented (grey line). |
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Figure 5-a:
The model-independent 95% CL limits on production cross section for new physics processes for the scalar (left) and pseudoscalar (right) interactions. The expected limit is shown by the black dashed line with the 68 and 95% CL uncertainty bands in green and yellow, respectively, while the observed limit is shown by the solid black line. Theoretical LO cross section values for the DM model and their associated uncertainties are also presented (grey line). |
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Figure 5-b:
The model-independent 95% CL limits on production cross section for new physics processes for the scalar (left) and pseudoscalar (right) interactions. The expected limit is shown by the black dashed line with the 68 and 95% CL uncertainty bands in green and yellow, respectively, while the observed limit is shown by the solid black line. Theoretical LO cross section values for the DM model and their associated uncertainties are also presented (grey line). |
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Figure 6:
The 95% CL limits on the ratio of ALP-top coupling to the ALP decay constant ($ |c_{\mathrm{t}}|/f_{\mathrm{A}} $) as a function of mediator mass for the ALP mediator model. The expected limit is shown by the black dashed line with the 68 and 95% CL uncertainty bands in green and yellow, respectively, whereas the observed limit is shown by the solid black line. |
Tables | |
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Table 1:
Final event selection requirements for the AH, SL, and DL SRs. For the SL channel, a categorization in terms of modified topness, with bins of $ t\leq $ 0 and $ t > $ 0, is also applied after the event selection. The DL channel is split into SF $ \mathrm{e}^{+}\mathrm{e}^{-} $/$ \mu^{+}\mu^{-} $ and DF $ \mathrm{e}^{\pm}\mu^{\mp} $ regions. |
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Table 2:
CRs defined for the main backgrounds of the AH SRs (first 4 columns, $ {\mathrm{t}\overline{\mathrm{t}}} (1\ell) $, W+jets, $ {\mathrm{Z}} \to \ell \bar{\ell} $, QCD), the SL SRs (central two columns, $ {\mathrm{t}\overline{\mathrm{t}}} (2\ell) $ and W+jets ), and the DL SRs (last 2 columns, $ {\mathrm{t}\overline{\mathrm{t}}} (2\ell) $ and $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{Z} $). Some selection criteria applied in the SRs are removed in the corresponding CRs to increase the event counts and are therefore not listed. The $ p_{\mathrm{T}}^\text{miss} $ selection for the $ {\mathrm{Z}} \to \ell \bar{\ell} $ CR refers to the hadronic recoil. |
Summary |
A search for dark matter (DM) produced in association with a single top quark or a top quark pair produced in interactions mediated by a neutral scalar or pseudoscalar particle in proton-proton collisions at a center-of-mass energy of 13 TeV has been presented. The search was performed using data corresponding to an integrated luminosity of 138 fb$ ^{-1} $ recorded by the CMS experiment between 2016 and 2018. For the first time, events are classified into zero lepton, single-lepton, and two lepton final states. In addition, a different phase space was explored with respect to the best LHC results looking for DM produced in association with a top quark pair. In particular, lower jet multiplicities were considered, which results in an increase in the sensitivity to processes where DM is produced in association with a single top quark. The results are interpreted in the context of a simplified model in which a scalar or pseudoscalar mediator particle couples to the top quark and subsequently decays into two DM particles. Scalar and pseudoscalar mediator masses below 410 and 380 GeV, respectively, are expected to be excluded at 95% confidence level (CL) assuming a DM particle mass of 1 GeV and mediator couplings to fermions and DM particles equal to unity. This work extends the sensitivity for the DM mediator mass when produced in association with one or two top quarks by up to 10% with respect to the LHC combination across all channels using Run 2 data, and by up to 40% with respect to the best LHC result with 2016 data. Of these improvements, up to 20% come from the introduction of analysis improvements and the dileptonic final state. A small signal-like excess is observed in data. Because the signal kinematic properties do not significantly depend on the mass of the mediator, this excess is consistent with all mediator mass hypotheses. The largest local significance for all mediator hypotheses is observed to be within two standard deviations. Because of this excess, mediator masses are only excluded below 310 (320) GeV for the scalar (pseudoscalar) mediator. The results are also translated into model-independent 95% CL upper limits on the visible cross section of DM production in association with top quarks, ranging from 1 pb to 0.02 pb. In addition, limits on the coupling of axion-like-particles (ALP) to top quarks are set for the first time. This is performed in the context of top quark(s) plus invisible signatures where the ALP couples to SM quarks as a mediator between the SM and fermionic DM particles. |
References | ||||
1 | T. A. Porter, R. P. Johnson, and P. W. Graham | Dark matter searches with astroparticle data | Ann. Rev. Astron. Astrophys. 49 (2011) 155 | 1104.2836 |
2 | G. Bertone, D. Hooper, and J. Silk | Particle dark matter: evidence, candidates and constraints | Phys. Rept. 405 (2005) 279 | hep-ph/0404175 |
3 | D. Abercrombie et al. | Dark matter benchmark models for early LHC run-2 searches: Report of the ATLAS/CMS dark matter forum | Phys. Dark Univ. 27 (2020) 100371 | 1507.00966 |
4 | M. R. Buckley, D. Feld, and D. Goncalves | Scalar simplified models for dark matter | PRD 91 (2015) | 1410.6497 |
5 | D. Pinna, A. Zucchetta, M. R. Buckley, and F. Canelli | Single top quarks and dark matter | PRD 96 (2017) 035031 | 1701.05195 |
6 | LHC Dark Matter Working Group Collaboration | LHC dark matter working group: Next-generation spin-0 dark matter models | Phys. Dark Univ. 27 (2020) 100351 | 1810.09420 |
7 | M. Bauer, U. Haisch, and F. Kahlhoefer | Simplified dark matter models with two Higgs doublets: I. pseudoscalar mediators | JHEP 05 (2017) 138 | 1701.07427 |
8 | R. D. Peccei and H. R. Quinn | CP conservation in the presence of instantons | PRL 38 (1977) 1440 | |
9 | R. D. Peccei and H. R. Quinn | Constraints imposed by CP conservation in the presence of instantons | PRD 16 (1977) 1791 | |
10 | S. Weinberg | A new light boson? | PRL 40 (1978) 223 | |
11 | F. Wilczek | Problem of strong $ P $ and $ T $ invariance in the presence of instantons | PRL 40 (1978) 279 | |
12 | M. J. Dolan, F. Kahlhoefer, C. McCabe, and K. Schmidt-Hoberg | A taste of dark matter: Flavour constraints on pseudoscalar mediators | JHEP 03 (2015) 171 | 1412.5174 |
13 | A. Bharucha, F. Brümmer, N. Desai, and S. Mutzel | Axion-like particles as mediators for dark matter: beyond freeze-out | JHEP 02 (2023) 141 | 2209.03932 |
14 | S. Allen et al. | Electroweak axion portal to dark matter | 2405.02403 | |
15 | S. Blasi et al. | Top-philic ALP phenomenology at the LHC: the elusive mass-window | JHEP 06 (2024) 077 | 2311.16048 |
16 | CMS Collaboration | Combined searches for the production of supersymmetric top quark partners in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | EPJC 81 (2021) 970 | CMS-SUS-20-002 2107.10892 |
17 | ATLAS Collaboration | Constraints on spin-0 dark matter mediators and invisible Higgs decays using ATLAS 13 TeV pp collision data with two top quarks and missing transverse momentum in the final state | EPJC 83 (2023) 503 | 2211.05426 |
18 | CMS Collaboration | Search for dark matter produced in association with a single top quark or a top quark pair in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JHEP 03 (2019) 141 | CMS-EXO-18-010 1901.01553 |
19 | CMS Collaboration | HEPData record for this analysis | link | |
20 | CMS Collaboration | The CMS experiment at the CERN LHC | JINST 3 (2008) S08004 | |
21 | CMS Collaboration | The CMS trigger system | JINST 12 (2017) P01020 | CMS-TRG-12-001 1609.02366 |
22 | CMS Collaboration | Particle-flow reconstruction and global event description with the CMS detector | JINST 12 (2017) P10003 | CMS-PRF-14-001 1706.04965 |
23 | 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 CDS |
|
24 | M. Cacciari, G. P. Salam, and G. Soyez | The anti-$ k_{\mathrm{T}} $ jet clustering algorithm | JHEP 04 (2008) 063 | 0802.1189 |
25 | M. Cacciari, G. P. Salam, and G. Soyez | FastJet user manual | EPJC 72 (2012) 1896 | 1111.6097 |
26 | M. Cacciari, G. P. Salam, and G. Soyez | The catchment area of jets | JHEP 04 (2008) 005 | 0802.1188 |
27 | CMS Collaboration | Jet algorithms performance in 13 TeV data | CMS Physics Analysis Summary, 2017 CMS-PAS-JME-16-003 |
CMS-PAS-JME-16-003 |
28 | 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 |
29 | P. Nason | A new method for combining NLO QCD with shower Monte Carlo algorithms | JHEP 11 (2004) 040 | hep-ph/0409146 |
30 | S. Frixione, P. Nason, and C. Oleari | Matching NLO QCD computations with parton shower simulations: the POWHEG method | JHEP 11 (2007) 070 | 0709.2092 |
31 | 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 |
32 | 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 |
33 | E. Re | Single-top Wt-channel production matched with parton showers using the POWHEG method | EPJC 71 (2011) 1547 | 1009.2450 |
34 | S. Frixione, P. Nason, and G. Ridolfi | A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction | JHEP 09 (2007) 126 | 0707.3088 |
35 | M. Czakon et al. | Top-pair production at the LHC through NNLO QCD and NLO EW | JHEP 10 (2017) 186 | 1705.04105 |
36 | R. Frederix and S. Frixione | Merging meets matching in MC@NLO | JHEP 12 (2012) 061 | 1209.6215 |
37 | 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 |
38 | M. L. Mangano, M. Moretti, F. Piccinini, and M. Treccani | Matching matrix elements and shower evolution for top-quark production in hadronic collisions | JHEP 01 (2007) 013 | hep-ph/0611129 |
39 | A. Denner, S. Dittmaier, T. Kasprzik, and A. Muck | Electroweak corrections to W+jet hadroproduction including leptonic W-boson decays | JHEP 08 (2009) 075 | 0906.1656 |
40 | A. Denner, S. Dittmaier, T. Kasprzik, and A. Muck | Electroweak corrections to dilepton+jet production at hadron colliders | JHEP 06 (2011) 069 | 1103.0914 |
41 | A. Denner, S. Dittmaier, T. Kasprzik, and A. Maeck | Electroweak corrections to monojet production at the LHC | EPJC 73 (2013) 2297 | 1211.5078 |
42 | J. H. Kuhn, A. Kulesza, S. Pozzorini, and M. Schulze | Electroweak corrections to hadronic photon production at large transverse momenta | JHEP 03 (2006) 059 | hep-ph/0508253 |
43 | S. Kallweit et al. | NLO electroweak automation and precise predictions for W+multijet production at the LHC | JHEP 04 (2015) 012 | 1412.5157 |
44 | S. Kallweit et al. | NLO QCD+EW predictions for V+jets including off-shell vector-boson decays and multijet merging | JHEP 04 (2016) 021 | 1511.08692 |
45 | T. Gehrmann et al. | $ W^+W^- $ production at hadron colliders in next to next to leading order QCD | PRL 113 (2014) 212001 | 1408.5243 |
46 | J. M. Campbell and R. K. Ellis | An update on vector boson pair production at hadron colliders | PRD 60 (1999) 113006 | hep-ph/9905386 |
47 | A. Boveia et al. | Recommendations on presenting LHC searches for missing transverse energy signals using simplified $ s $-channel models of dark matter | Phys. Dark Univ. 27 (2020) 100365 | 1603.04156 |
48 | NNPDF Collaboration | Parton distributions for the LHC Run II | JHEP 04 (2015) 040 | 1410.8849 |
49 | NNPDF Collaboration | Parton distributions from high-precision collider data | EPJC 77 (2017) 663 | 1706.00428 |
50 | T. Sjöstrand et al. | An introduction to PYTHIA 8.2 | Comput. Phys. Commun. 191 (2015) 159 | 1410.3012 |
51 | CMS Collaboration | Event generator tunes obtained from underlying event and multiparton scattering measurements | EPJC 76 (2016) 155 | CMS-GEN-14-001 1512.00815 |
52 | 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 |
53 | GEANT4 Collaboration | GEANT 4---a simulation toolkit | NIM A 506 (2003) 250 | |
54 | 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 |
55 | 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 |
56 | Y. Bai, H.-C. Cheng, J. Gallicchio, and J. Gu | Stop the top background of the stop search | JHEP 07 (2012) 110 | 1203.4813 |
57 | CMS Collaboration | Search for direct top squark pair production in events with one lepton, jets, and missing transverse momentum at 13 TeV with the CMS experiment | JHEP 05 (2020) 032 | CMS-SUS-19-009 1912.08887 |
58 | 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 |
59 | CMS Collaboration | Searches for supersymmetry using the m$ _{T2} $ variable in hadronic events produced in pp collisions at 8 TeV | JHEP 05 (2015) 078 | CMS-SUS-13-019 1502.04358 |
60 | B. A. Betchart, R. Demina, and A. Harel | Analytic solutions for neutrino momenta in decay of top quarks | NIM A 736 (2014) 169 | 1305.1878 |
61 | CMS Collaboration | Precision luminosity measurement in proton-proton collisions at $ \sqrt{s}= $ 13 TeV in 2015 and 2016 at CMS | EPJC 81 (2021) 800 | CMS-LUM-17-003 2104.01927 |
62 | CMS Collaboration | CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV | technical report, CERN, Geneva, 2018 CDS |
|
63 | CMS Collaboration | CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV | technical report, CERN, Geneva, 2019 CDS |
|
64 | J. Butterworth et al. | PDF4LHC recommendations for LHC Run II | JPG 43 (2016) 023001 | 1510.03865 |
65 | CMS Collaboration | Measurement of the inelastic proton-proton cross section at $ \sqrt{s}= $ 13 TeV | JHEP 07 (2018) 161 | CMS-FSQ-15-005 1802.02613 |
66 | 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 |
67 | R. J. Barlow and C. Beeston | Fitting using finite Monte Carlo samples | Comput. Phys. Commun. 77 (1993) 219 | |
68 | 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 |
69 | CMS Collaboration | The CMS statistical analysis and combination tool: \textscCombine | Accepted by Comput. Softw. Big Sci, 2024 | CMS-CAT-23-001 2404.06614 |
70 | W. Verkerke and D. P. Kirkby | The RooFit toolkit for data modeling | link | physics/0306116 |
71 | L. Moneta et al. | The RooStats project | PoS ACAT 057, 2010 link |
1009.1003 |
72 | T. Junk | Confidence level computation for combining searches with small statistics | Nucl. Inst. Meth. A 434 (1999) 435 | hep-ex/9902226 |
73 | A. L. Read | Presentation of search results: the CL$ _{s} $ technique | JPG 28 (2002) 2693 | |
74 | G. Cowan, K. Cranmer, E. Gross, and O. Vitells | Asymptotic formulae for likelihood-based tests of new physics | EPJC 71 (2011) 1554 | 1007.1727 |
75 | A. Anuar et al. | ALP-ine quests at the LHC: hunting axion-like particles via peaks and dips in $ t \bar{t} $ production | 2404.19014 |
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Compact Muon Solenoid LHC, CERN |
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