CMS-PAS-SUS-23-016 | ||
Search for new physics in the final state of a single photon and large missing transverse energy in proton-proton collisions at √s= 13 TeV | ||
CMS Collaboration | ||
28 March 2025 | ||
Abstract: A search for new physics in the final state of a single photon and high missing transverse energy is performed using proton-proton collision data at a center-of-mass energy of √s= 13 TeV. The analysis is performed on a data sample corresponding to an integrated luminosity of 101.3 fb−1, collected using the CMS detector in 2017 and 2018. A statistical combination is performed with an earlier search based on 35.9 fb−1, collected in 2016. No deviations from the predictions of the standard model are observed. The results are interpreted in the context of dark matter production and models containing extra spatial dimensions, and limits on new physics parameters are calculated at the 95% confidence level. For the two simplified dark matter production models considered, the observed (expected) lower limits on the mediator masses are both 1085 (1300) GeV for 1 GeV dark matter mass. For an effective electroweak-dark matter contact interaction, the observed (expected) lower limit on the suppression parameter Λ is 937 (1000) GeV. For the ADD model, which provides the framework for extra dimensions aspects, values of the effective Planck scale up to 3.17-3.20 TeV are excluded between 3 and 6 extra spatial dimensions. | ||
Links: CDS record (PDF) ; Physics Briefing ; CADI line (restricted) ; |
Figures | |
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Figure 1:
Leading order diagrams of the simplified DM model (left), EWK-DM effective interaction (center), and graviton (G) production in the ADD model (right), with a final state of a photon and large pmissT. Particles χ and ¯χ are the DM and its antiparticle, and Φ in the simplified DM model represents a vector or axial-vector mediator. |
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Figure 1-a:
Leading order diagrams of the simplified DM model (left), EWK-DM effective interaction (center), and graviton (G) production in the ADD model (right), with a final state of a photon and large pmissT. Particles χ and ¯χ are the DM and its antiparticle, and Φ in the simplified DM model represents a vector or axial-vector mediator. |
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Figure 1-b:
Leading order diagrams of the simplified DM model (left), EWK-DM effective interaction (center), and graviton (G) production in the ADD model (right), with a final state of a photon and large pmissT. Particles χ and ¯χ are the DM and its antiparticle, and Φ in the simplified DM model represents a vector or axial-vector mediator. |
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Figure 1-c:
Leading order diagrams of the simplified DM model (left), EWK-DM effective interaction (center), and graviton (G) production in the ADD model (right), with a final state of a photon and large pmissT. Particles χ and ¯χ are the DM and its antiparticle, and Φ in the simplified DM model represents a vector or axial-vector mediator. |
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Figure 2:
Prefit distribution of EγT /pmissT for the 2017 (left) and 2018 (right) datasets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The gray band represents the total systematic and statistical uncertainties. |
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Figure 2-a:
Prefit distribution of EγT /pmissT for the 2017 (left) and 2018 (right) datasets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The gray band represents the total systematic and statistical uncertainties. |
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Figure 2-b:
Prefit distribution of EγT /pmissT for the 2017 (left) and 2018 (right) datasets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The gray band represents the total systematic and statistical uncertainties. |
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Figure 3:
Prefit distribution of Δϕ(pmissT,γ) for the 2017 (left) and 2018 (right) datasets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The gray band represents the total systematic and statistical uncertainties. |
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Figure 3-a:
Prefit distribution of Δϕ(pmissT,γ) for the 2017 (left) and 2018 (right) datasets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The gray band represents the total systematic and statistical uncertainties. |
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Figure 3-b:
Prefit distribution of Δϕ(pmissT,γ) for the 2017 (left) and 2018 (right) datasets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The gray band represents the total systematic and statistical uncertainties. |
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Figure 4:
Comparison of data and background post-fit distributions in the eγ (left) and μγ (right) CR using the combined 2017 and 2018 dataset. The last bin of the distribution includes the overflow events. The ratios of data to the background predictions are shown in the lower panels, with the uncertainty bands including the combination of all systematic uncertainties. |
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Figure 4-a:
Comparison of data and background post-fit distributions in the eγ (left) and μγ (right) CR using the combined 2017 and 2018 dataset. The last bin of the distribution includes the overflow events. The ratios of data to the background predictions are shown in the lower panels, with the uncertainty bands including the combination of all systematic uncertainties. |
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Figure 4-b:
Comparison of data and background post-fit distributions in the eγ (left) and μγ (right) CR using the combined 2017 and 2018 dataset. The last bin of the distribution includes the overflow events. The ratios of data to the background predictions are shown in the lower panels, with the uncertainty bands including the combination of all systematic uncertainties. |
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Figure 5:
Comparison of data and background post-fit distributions in the eeγ (left) and μμγ (right) CR using the combined 2017 and 2018 dataset. The last bin of the distribution includes the overflow events. The ratios of data to the background predictions are shown in the lower panels, with the uncertainty bands including the combination of all systematic uncertainties. |
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Figure 5-a:
Comparison of data and background post-fit distributions in the eeγ (left) and μμγ (right) CR using the combined 2017 and 2018 dataset. The last bin of the distribution includes the overflow events. The ratios of data to the background predictions are shown in the lower panels, with the uncertainty bands including the combination of all systematic uncertainties. |
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Figure 5-b:
Comparison of data and background post-fit distributions in the eeγ (left) and μμγ (right) CR using the combined 2017 and 2018 dataset. The last bin of the distribution includes the overflow events. The ratios of data to the background predictions are shown in the lower panels, with the uncertainty bands including the combination of all systematic uncertainties. |
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Figure 6:
Comparison of data and background post-fit distributions for vertical region (left) and horizontal region (right) using combined 2017 and 2018 dataset. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The last bin of the distribution includes the overflow events. |
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Figure 6-a:
Comparison of data and background post-fit distributions for vertical region (left) and horizontal region (right) using combined 2017 and 2018 dataset. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The last bin of the distribution includes the overflow events. |
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Figure 6-b:
Comparison of data and background post-fit distributions for vertical region (left) and horizontal region (right) using combined 2017 and 2018 dataset. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section value. The last bin of the distribution includes the overflow events. |
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Figure 7:
The ratio of 95% CL upper cross section limits to the theoretical cross section (μ95), for DM simplified models with vector (left) and axial-vector (right) mediators, using full 2016-2018 dataset corresponding to an integrated luminosity of 137.2 fb−1, assuming gq= 0.25 and gDM= 1. Expected μ95= 1 contours are overlaid in red. The region under the observed contour is excluded. For DM simplified model parameters in the region below the lower violet dot-dash contour, and also above the corresponding upper contour in the right hand plot, cosmological DM abundance exceeds the density observed by the Planck satellite experiment. |
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Figure 7-a:
The ratio of 95% CL upper cross section limits to the theoretical cross section (μ95), for DM simplified models with vector (left) and axial-vector (right) mediators, using full 2016-2018 dataset corresponding to an integrated luminosity of 137.2 fb−1, assuming gq= 0.25 and gDM= 1. Expected μ95= 1 contours are overlaid in red. The region under the observed contour is excluded. For DM simplified model parameters in the region below the lower violet dot-dash contour, and also above the corresponding upper contour in the right hand plot, cosmological DM abundance exceeds the density observed by the Planck satellite experiment. |
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Figure 7-b:
The ratio of 95% CL upper cross section limits to the theoretical cross section (μ95), for DM simplified models with vector (left) and axial-vector (right) mediators, using full 2016-2018 dataset corresponding to an integrated luminosity of 137.2 fb−1, assuming gq= 0.25 and gDM= 1. Expected μ95= 1 contours are overlaid in red. The region under the observed contour is excluded. For DM simplified model parameters in the region below the lower violet dot-dash contour, and also above the corresponding upper contour in the right hand plot, cosmological DM abundance exceeds the density observed by the Planck satellite experiment. |
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Figure 8:
The 90% CL exclusion limits on the χ-nucleon spin-independent (left) and spin-dependent (right) scattering cross sections involving vector and axial-vector operators, respectively, using full 2016-2018 dataset as a function of the MDM. Simplified model DM parameters of gq= 0.25 and gDM= 1 are assumed. The region to the upper left of the contour is excluded. On the plots, the median expected 90% CL curve overlaps the observed 90% CL curve. Also shown are corresponding exclusion contours, where regions above the curves are excluded, from the recent results by CDMSLite [47], LUX [48], PandaX-II [49], XENON1T [50], CRESST-II [51], PICO-60 [52], IceCube [53], PICASSO [54] and Super-Kamiokande [55] Collaborations. |
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Figure 8-a:
The 90% CL exclusion limits on the χ-nucleon spin-independent (left) and spin-dependent (right) scattering cross sections involving vector and axial-vector operators, respectively, using full 2016-2018 dataset as a function of the MDM. Simplified model DM parameters of gq= 0.25 and gDM= 1 are assumed. The region to the upper left of the contour is excluded. On the plots, the median expected 90% CL curve overlaps the observed 90% CL curve. Also shown are corresponding exclusion contours, where regions above the curves are excluded, from the recent results by CDMSLite [47], LUX [48], PandaX-II [49], XENON1T [50], CRESST-II [51], PICO-60 [52], IceCube [53], PICASSO [54] and Super-Kamiokande [55] Collaborations. |
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Figure 8-b:
The 90% CL exclusion limits on the χ-nucleon spin-independent (left) and spin-dependent (right) scattering cross sections involving vector and axial-vector operators, respectively, using full 2016-2018 dataset as a function of the MDM. Simplified model DM parameters of gq= 0.25 and gDM= 1 are assumed. The region to the upper left of the contour is excluded. On the plots, the median expected 90% CL curve overlaps the observed 90% CL curve. Also shown are corresponding exclusion contours, where regions above the curves are excluded, from the recent results by CDMSLite [47], LUX [48], PandaX-II [49], XENON1T [50], CRESST-II [51], PICO-60 [52], IceCube [53], PICASSO [54] and Super-Kamiokande [55] Collaborations. |
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Figure 9:
The 95% CL observed and expected lower limits on Λ for an effective EWK-DM contact interaction, as a function of DM mass MDM using full 2016-2018 dataset corresponding to an integrated luminosity of 137.2 fb−1. |
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Figure 10:
Lower limit on the fundamental Planck scale MD as a function of number of extra dimension n, using the 2017 and 2018 dataset with an integrated luminosity of 101.3 fb−1 (shown in dark pink), and the full 2016-2018 dataset with an integrated luminosity of 137.2 fb−1 (shown in green). |
Tables | |
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Table 1:
Event selection criteria for SR |
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Table 2:
Event selection in CR |
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Table 3:
Summary of systematic uncertainties considered in the analysis. |
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Table 4:
Total yield in vertical and horizontal regions using combined 2017 and 2018 dataset |
Summary |
Proton-proton collisions producing a high transverse momentum photon and large pmissT have been investigated to search for new phenomena, using a data set corresponding to 137.2 fb−1 of integrated luminosity recorded at √s= 13 TeV at the LHC. A simultaneous fit to multiple SR and CR is employed in this analysis, enhancing sensitivity to potential signal events. No deviations from the SM predictions are observed. For the simplified DM production models considered, the observed(expected) lower limit on the mediator mass is 1085 (1300) GeV in both cases for 1 GeV DM mass. For an effective EWK-DM contact interaction, the observed (expected) lower limit on the suppression parameter Λ is 937 (1000) GeV. For the model with extra spatial dimensions, values of the effective Planck scale MD up to 3.20-3.17 TeV are excluded for between 3 and 6 extra dimensions. These limits on Λ and MD are the most sensitive limits from the mono photon final state to date. |
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Compact Muon Solenoid LHC, CERN |
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