CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-SUS-23-016 ; CERN-EP-2025-219
Search for new physics in the final state with a single photon and large missing transverse momentum in proton-proton collisions at $ \sqrt{s} = $ 13 TeV
Submitted to Phys. Rev. D
Abstract: A search for new physics in events featuring a single photon and missing transverse momentum is presented, using proton-proton $ \sqrt{s} = $ 13 TeV collision data corresponding to an integrated luminosity of 101 fb$ ^{-1} $ collected by the CMS experiment at the CERN LHC between 2017 and 2018. This analysis, combined with a previous study of 36 fb$ ^{-1} $ of 2016 data (totaling 137 fb$ ^{-1} $), reveals no significant deviations from standard model expectations. The results are then used to establish 95% confidence level limits on parameters in theoretical models involving dark matter and large extra dimensions. Compared to the 2016-only analysis, this search achieves up to a 14% improvement in exclusion reach for mediator masses in simplified dark matter models, along with 11% and 10% enhancements in the limits on the effective field theory suppression scale and the fundamental Planck scale, respectively. These results are the most stringent constraints on these parameters to date.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Leading-order diagrams of graviton production in the ADD model (left), simplified DM model (center), and EW-DM effective interaction (right), with a final state comprising a photon and large $ p_{\mathrm{T}}^\text{miss} $. Particles $ \chi $ and $ \bar{\chi} $ are the DM and its antiparticle, and $ \Phi $ in the simplified DM model represents a vector or axial-vector mediator.

png pdf
Figure 1-a:
Leading-order diagrams of graviton production in the ADD model (left), simplified DM model (center), and EW-DM effective interaction (right), with a final state comprising a photon and large $ p_{\mathrm{T}}^\text{miss} $. Particles $ \chi $ and $ \bar{\chi} $ are the DM and its antiparticle, and $ \Phi $ in the simplified DM model represents a vector or axial-vector mediator.

png pdf
Figure 1-b:
Leading-order diagrams of graviton production in the ADD model (left), simplified DM model (center), and EW-DM effective interaction (right), with a final state comprising a photon and large $ p_{\mathrm{T}}^\text{miss} $. Particles $ \chi $ and $ \bar{\chi} $ are the DM and its antiparticle, and $ \Phi $ in the simplified DM model represents a vector or axial-vector mediator.

png pdf
Figure 1-c:
Leading-order diagrams of graviton production in the ADD model (left), simplified DM model (center), and EW-DM effective interaction (right), with a final state comprising a photon and large $ p_{\mathrm{T}}^\text{miss} $. Particles $ \chi $ and $ \bar{\chi} $ are the DM and its antiparticle, and $ \Phi $ in the simplified DM model represents a vector or axial-vector mediator.

png pdf
Figure 2:
Distribution of $ E_{\mathrm{T}}^{\gamma} $/$ p_{\mathrm{T}}^\text{miss} $ for the 2017 (left) and 2018 (right) data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The cross hatched band represents the total systematic and statistical uncertainties. Events to the right of the red dashed vertical line are excluded.

png pdf
Figure 2-a:
Distribution of $ E_{\mathrm{T}}^{\gamma} $/$ p_{\mathrm{T}}^\text{miss} $ for the 2017 (left) and 2018 (right) data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The cross hatched band represents the total systematic and statistical uncertainties. Events to the right of the red dashed vertical line are excluded.

png pdf
Figure 2-b:
Distribution of $ E_{\mathrm{T}}^{\gamma} $/$ p_{\mathrm{T}}^\text{miss} $ for the 2017 (left) and 2018 (right) data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The cross hatched band represents the total systematic and statistical uncertainties. Events to the right of the red dashed vertical line are excluded.

png pdf
Figure 3:
Distribution of $ \Delta\phi(\vec{p}_T^{\text{miss}}, \vec{p}_{\mathrm{T}}^{\gamma}) $ for the 2017 (left) and 2018 (right) data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The cross hatched band represents the total systematic and statistical uncertainties. Events to the left of the red dashed vertical line are excluded.

png pdf
Figure 3-a:
Distribution of $ \Delta\phi(\vec{p}_T^{\text{miss}}, \vec{p}_{\mathrm{T}}^{\gamma}) $ for the 2017 (left) and 2018 (right) data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The cross hatched band represents the total systematic and statistical uncertainties. Events to the left of the red dashed vertical line are excluded.

png pdf
Figure 3-b:
Distribution of $ \Delta\phi(\vec{p}_T^{\text{miss}}, \vec{p}_{\mathrm{T}}^{\gamma}) $ for the 2017 (left) and 2018 (right) data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The cross hatched band represents the total systematic and statistical uncertainties. Events to the left of the red dashed vertical line are excluded.

png pdf
Figure 4:
Comparison of data and background post-fit distributions in the $ \mathrm{e} \nu + \gamma $ (left) and $ \mu \nu +\gamma $ (right) CRs for the combination of 2017 and 2018 data sets. 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 cross hatched uncertainty bands including the combination of all systematic uncertainties.

png pdf
Figure 4-a:
Comparison of data and background post-fit distributions in the $ \mathrm{e} \nu + \gamma $ (left) and $ \mu \nu +\gamma $ (right) CRs for the combination of 2017 and 2018 data sets. 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 cross hatched uncertainty bands including the combination of all systematic uncertainties.

png pdf
Figure 4-b:
Comparison of data and background post-fit distributions in the $ \mathrm{e} \nu + \gamma $ (left) and $ \mu \nu +\gamma $ (right) CRs for the combination of 2017 and 2018 data sets. 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 cross hatched uncertainty bands including the combination of all systematic uncertainties.

png pdf
Figure 5:
Comparison of data and background post-fit distributions in the $ \mathrm{e}\mathrm{e} + \gamma $ (left) and $ \mu\mu+ \gamma $ (right) CRs for the combination of 2017 and 2018 data sets. 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 cross hatched uncertainty bands including the combination of all systematic uncertainties.

png pdf
Figure 5-a:
Comparison of data and background post-fit distributions in the $ \mathrm{e}\mathrm{e} + \gamma $ (left) and $ \mu\mu+ \gamma $ (right) CRs for the combination of 2017 and 2018 data sets. 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 cross hatched uncertainty bands including the combination of all systematic uncertainties.

png pdf
Figure 5-b:
Comparison of data and background post-fit distributions in the $ \mathrm{e}\mathrm{e} + \gamma $ (left) and $ \mu\mu+ \gamma $ (right) CRs for the combination of 2017 and 2018 data sets. 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 cross hatched uncertainty bands including the combination of all systematic uncertainties.

png pdf
Figure 6:
Comparison of data and background post-fit distributions for the vertical (left) and horizontal (right) regions for the combination of 2017 and 2018 data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The last bin of the distribution includes the overflow events.

png pdf
Figure 6-a:
Comparison of data and background post-fit distributions for the vertical (left) and horizontal (right) regions for the combination of 2017 and 2018 data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The last bin of the distribution includes the overflow events.

png pdf
Figure 6-b:
Comparison of data and background post-fit distributions for the vertical (left) and horizontal (right) regions for the combination of 2017 and 2018 data sets. Templates for signal hypotheses are shown overlaid as light green and magenta dashed lines along with their cross section values. The last bin of the distribution includes the overflow events.

png pdf
Figure 7:
The ratio of 95% CL upper cross section limits to the theoretical cross section ($ \mu_{95} $), for simplified DM models with vector (left) and axial-vector (right) mediators, using the full 2016-2018 data set corresponding to an integrated luminosity of 137 fb$ ^{-1} $, assuming $ g_{\mathrm{q}} = $ 0.25 and $ g_\text{DM} = $ 1. Expected $ \mu_{95} = $ 1 contours are overlaid in red. The region below and to the left of the observed contour is excluded. For simplified DM model parameters in the region below the lower green 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.

png pdf
Figure 7-a:
The ratio of 95% CL upper cross section limits to the theoretical cross section ($ \mu_{95} $), for simplified DM models with vector (left) and axial-vector (right) mediators, using the full 2016-2018 data set corresponding to an integrated luminosity of 137 fb$ ^{-1} $, assuming $ g_{\mathrm{q}} = $ 0.25 and $ g_\text{DM} = $ 1. Expected $ \mu_{95} = $ 1 contours are overlaid in red. The region below and to the left of the observed contour is excluded. For simplified DM model parameters in the region below the lower green 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.

png pdf
Figure 7-b:
The ratio of 95% CL upper cross section limits to the theoretical cross section ($ \mu_{95} $), for simplified DM models with vector (left) and axial-vector (right) mediators, using the full 2016-2018 data set corresponding to an integrated luminosity of 137 fb$ ^{-1} $, assuming $ g_{\mathrm{q}} = $ 0.25 and $ g_\text{DM} = $ 1. Expected $ \mu_{95} = $ 1 contours are overlaid in red. The region below and to the left of the observed contour is excluded. For simplified DM model parameters in the region below the lower green 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.

png pdf
Figure 8:
The 90% CL exclusion limits on the $ \chi $-nucleon spin-independent (left) and spin-dependent (right) scattering cross sections involving vector and axial-vector operators, respectively, are shown as a function of $ M_{\text{DM}} $, using the 2016-2018 data set. Simplified model DM parameters $ g_{\mathrm{q}} = $ 0.25 and $ g_\text{DM} = $ 1 are assumed. Also shown are corresponding exclusion contours, where regions above the curves are excluded, from recent results by the CDMSLite [52], LUX-ZEPLIN [53], PandaX-II [54], XENONnT [55], CRESST-II [56], PICO-60 [57], IceCube [58], PICASSO [59], and Super-Kamiokande [60] Collaborations.

png pdf
Figure 8-a:
The 90% CL exclusion limits on the $ \chi $-nucleon spin-independent (left) and spin-dependent (right) scattering cross sections involving vector and axial-vector operators, respectively, are shown as a function of $ M_{\text{DM}} $, using the 2016-2018 data set. Simplified model DM parameters $ g_{\mathrm{q}} = $ 0.25 and $ g_\text{DM} = $ 1 are assumed. Also shown are corresponding exclusion contours, where regions above the curves are excluded, from recent results by the CDMSLite [52], LUX-ZEPLIN [53], PandaX-II [54], XENONnT [55], CRESST-II [56], PICO-60 [57], IceCube [58], PICASSO [59], and Super-Kamiokande [60] Collaborations.

png pdf
Figure 8-b:
The 90% CL exclusion limits on the $ \chi $-nucleon spin-independent (left) and spin-dependent (right) scattering cross sections involving vector and axial-vector operators, respectively, are shown as a function of $ M_{\text{DM}} $, using the 2016-2018 data set. Simplified model DM parameters $ g_{\mathrm{q}} = $ 0.25 and $ g_\text{DM} = $ 1 are assumed. Also shown are corresponding exclusion contours, where regions above the curves are excluded, from recent results by the CDMSLite [52], LUX-ZEPLIN [53], PandaX-II [54], XENONnT [55], CRESST-II [56], PICO-60 [57], IceCube [58], PICASSO [59], and Super-Kamiokande [60] Collaborations.

png pdf
Figure 9:
The 95% CL observed and expected lower limits on $ \Lambda $ for an effective EW-DM contact interaction, as a function of $ M_{\text{DM}} $ using the 2016-2018 data set corresponding to an integrated luminosity of 137 fb$ ^{-1} $.

png pdf
Figure 10:
The 95% CL upper limits on the ADD graviton production cross section as a function of $ M_\text{D} $, for $ n= $ 3 extra dimensions.

png pdf
Figure 11:
Lower limit on the fundamental Planck scale $ M_\text{D} $ as a function of the number of extra dimensions $ n $, using the 2016-2018 data sets with an integrated luminosity of 137 fb$ ^{-1} $.
Tables

png pdf
Table 1:
Event selection criteria for the SR. The requirements on the trigger, photon identification, and $ \Delta\phi $ are listed.

png pdf
Table 2:
Event selection in the CRs.

png pdf
Table 3:
Summary of systematic uncertainties considered in the analysis. `W/Z Ratio' refers to correlated uncertainties propagated from $ \mathrm{W}({\to}\ell\overline{\nu}){+}\gamma $ to $ \mathrm{Z}({\to}\nu\overline{\nu}){+}\gamma $ background estimation (due to higher-order corrections and PDFs), `TF' denotes transfer factors, `MisID' represents misidentification backgrounds (electrons or jets misidentified as photons), and `Other' includes additional minor backgrounds.

png pdf
Table 4:
Total yield in vertical and horizontal regions using the combined 2017 and 2018 data set.
Summary
Proton-proton collisions producing a high transverse momentum photon and large missing transverse momentum have been investigated to search for new phenomena, using a data set corresponding to 137 fb$ ^{-1} $ of integrated luminosity recorded at $ \sqrt{s} = $ 13 TeV at the LHC. No deviations from the standard model predictions are observed. For the simplified dark matter production models considered, the observed (expected) lower limit on the mediator mass is 1085 (1300) GeV in both cases for a 1 GeV dark matter particle mass. For an effective electroweak dark matter contact interaction, the observed (expected) lower limit on the suppression parameter $ \Lambda $ is 940 (1000) GeV, which is an improvement of 10% (5%) over the 2016 analysis, while for the model with extra spatial dimensions, values of the effective Planck scale $ M_\text{D} $ up to 3.2 TeV are excluded between 3 and 6 extra dimensions, improving upon the 2016 results by 10% (11%). These results set the most stringent limits to date on these parameters of the electroweak contact interaction and extra dimension models in the monophoton final state.
References
1 N. Arkani-Hamed, S. Dimopoulos, and G. Dvali The hierarchy problem and new dimensions at a millimeter PLB 429 (1998) 263 hep-ph/9803315
2 N. Arkani-Hamed, S. Dimopoulos, and G. Dvali Phenomenology, astrophysics, and cosmology of theories with submillimeter dimensions and TeV scale quantum gravity PRD 59 (1999) 086004 hep-ph/9807344
3 N. Arkani-Hamed, S. Dimopoulos, G. R. Dvali, and N. Kaloper Infinitely large new dimensions PRL 84 (2000) 586 hep-th/9907209
4 M. Beltran et al. Maverick dark matter at colliders JHEP 09 (2010) 037 1002.4137
5 J. Goodman et al. Constraints on dark matter from colliders PRD 82 (2010) 116010 1008.1783
6 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
7 D. Abercrombie 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
8 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
9 A. Nelson et al. Confronting the Fermi line with LHC data: An effective theory of dark matter interaction with photons PRD 89 (2014) 056011 1307.5064
10 CMS Collaboration Search for new physics in final states with a single photon and missing transverse momentum in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 02 (2019) 074 CMS-EXO-16-053
1810.00196
11 ATLAS Collaboration Search for dark matter in association with an energetic photon in $ pp $ collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector JHEP 02 (2021) 226 2011.05259
12 CMS Collaboration HEPData record for this analysis link
13 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
14 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064
15 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
16 CMS Collaboration Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s}= $ 13 TeV JINST 13 (2018) P06015 CMS-MUO-16-001
1804.04528
17 CMS Collaboration Description and performance of track and primary-vertex reconstruction with the CMS tracker JINST 9 (2014) P10009 CMS-TRK-11-001
1405.6569
18 CMS Collaboration Performance of the CMS level-1 trigger in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JINST 15 (2020) P10017 CMS-TRG-17-001
2006.10165
19 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
20 CMS Collaboration Performance of the CMS high-level trigger during LHC run 2 JINST 19 (2024) P11021 CMS-TRG-19-001
2410.17038
21 CMS Collaboration Technical proposal for the phase-ii upgrade of the CMS detector technical report, CERN, 2015
link
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 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\mathrm{T}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
24 M. Cacciari, G. P. Salam, and G. Soyez Fastjet user manual EPJC 72 (2012) 1896 1111.6097
25 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
26 CMS Collaboration Performance of missing transverse momentum reconstruction in proton-proton collisions at $ \sqrt{s} = $ 13 TeV using the CMS detector JINST 14 (2019) P07004 CMS-JME-17-001
1903.06078
27 CMS Collaboration Jet algorithms performance in 13 TeV data CMS Physics Analysis Summary, CERN, 2017
CMS-PAS-JME-16-003
CMS-PAS-JME-16-003
28 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
29 CMS Collaboration Performance of the reconstruction and identification of high-momentum muons in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JINST 15 (2020) P02027 CMS-MUO-17-001
1912.03516
30 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
31 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
32 T. Sjostrand et al. An introduction to PYTHIA 8.2 Comput. Phys. Commun. 191 (2015) 159 1410.3012
33 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016) 155 CMS-GEN-14-001
1512.00815
34 GEANT4 Collaboration GEANT 4---a simulation toolkit NIM A 506 (2003) 250
35 J. Allison GEANT 4 developments and applications IEEE Trans. Nucl. Sci 53 (2006) 270
36 S. Orfanelli et al. A novel beam halo monitor for the CMS experiment at the LHC JINST 10 (2015) P11011
37 S. Catani, D. de Florian, G. Ferrera, and M. Grazzini Vector boson production at hadron colliders: transverse-momentum resummation and leptonic decay JHEP 12 (2015) 047 1507.06937
38 A. Denner, S. Dittmaier, M. Hecht, and C. Pasold NLO QCD and electroweak corrections to $ W{+}\gamma $ production with leptonic $ W $-boson decays JHEP 04 (2015) 018 1412.7421
39 A. Denner, S. Dittmaier, M. Hecht, and C. Pasold NLO QCD and electroweak corrections to $ Z{+}\gamma $ production with leptonic $ Z $-boson decays JHEP 02 (2016) 057 1510.08742
40 A. V. Manohar, P. Nason, G. P. Salam, and G. Zanderighi The photon content of the proton JHEP 12 (2017) 046 1708.01256
41 CMS Collaboration Measurement of the inclusive $ W $ and $ Z $ production cross sections in pp collisions at $ \sqrt{s} = $ 7 TeV with the CMS experiment JHEP 10 (2011) 132 CMS-EWK-10-005
1107.4789
42 J. M. Lindert et al. Precise predictions for V+jets dark matter backgrounds EPJC 77 (2017) 829 1705.04664
43 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
44 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s}= $ 13 TeV CMS Physics Analysis Summary, CERN, 2018
CMS-PAS-LUM-17-004
CMS-PAS-LUM-17-004
45 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s}= $ 13 TeV CMS Physics Analysis Summary, CERN, 2019
CMS-PAS-LUM-18-002
CMS-PAS-LUM-18-002
46 CMS Collaboration The CMS statistical analysis and combination tool: Combine Comput. Softw. Big Sci. 8 (2024) 19 CMS-CAT-23-001
2404.06614
47 T. Junk Confidence level computation for combining searches with small statistics NIM A 434 (1999) 435 hep-ex/9902006
48 A. L. Read Presentation of search results: The $ cl_s $ technique JPG 28 (2002) 2693
49 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
50 Planck Collaboration Planck 2015 results. XIII. Cosmological parameters Astron. Astrophys. 594 (2016) A13 1502.01589
51 M. Backovic, K. Kong, and M. McCaskey MadDM v.1.0: Computation of dark matter relic abundance using MadGraph5 Physics of the Dark Universe 5-6 18, 2014
link
1308.4955
52 SuperCDMS Collaboration New results from the search for low-mass weakly interacting massive particles with the CDMS low ionization threshold experiment PRL 116 (2016) 071301 1509.02448
53 LZ Collaboration Dark matter search results from 4.2 tonne-years of exposure of the LUX-ZEPLIN (LZ) experiment PRL 135 (2025) 011802 2410.17036
54 PandaX-II Collaboration Dark matter results from 54-ton-day exposure of the PandaX-II experiment PRL 119 (2017) 181302 1708.06917
55 XENON Collaboration First dark matter search with nuclear recoils from the XENONnT experiment PRL 131 (2023) 041003 2303.14729
56 CRESST Collaboration Results on light dark matter particles with a low-threshold CRESST-II detector EPJC 76 (2016) 25 1509.01515
57 PICO Collaboration Dark matter search results from the PICO-60 c$ _3 $f$ _8 $ bubble chamber PRL 118 (2017) 251301 1702.07666
58 IceCube Collaboration Search for gev-scale dark matter annihilation in the Sun with IceCube DeepCore PRD 105 (2022) 062004 2111.09970
59 E. Behnke et al. Final results of the PICASSO dark matter search experiment Astropart. Phys. 90 (2017) 85 1611.01499
60 Super-Kamiokande Collaboration Search for neutrinos from annihilation of captured low-mass dark matter particles in the Sun by Super-Kamiokande PRL 114 (2015) 141301 1503.04858
Compact Muon Solenoid
LHC, CERN