pith. machine review for the scientific record.
sign in

arxiv: 2511.17310 · v2 · submitted 2025-11-21 · ✦ hep-ex

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

Pith reviewed 2026-05-17 20:14 UTC · model grok-4.3

classification ✦ hep-ex
keywords dark matterlarge extra dimensionssingle photonmissing transverse momentumnew physics searchCMSLHC
0
0 comments X

The pith

No deviations from standard model expectations appear in single-photon plus missing transverse momentum events at 13 TeV.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper reports a search for new physics in proton-proton collisions that produce one photon and substantial missing transverse momentum. Data from 2017 and 2018 totaling 101 fb^{-1} are combined with 36 fb^{-1} from 2016, yielding 137 fb^{-1} overall. The observed event yields match standard model background predictions with no significant excess. These results are interpreted as 95% confidence level limits on simplified dark matter models and on large extra dimensions scenarios, improving the previous exclusion reach by up to 14% for mediator masses.

Core claim

The analysis of the complete 137 fb^{-1} dataset collected at 13 TeV shows that the number of events containing a single photon and large missing transverse momentum is consistent with standard model expectations. Limits at 95% confidence level are placed on the parameters of dark matter mediator models, effective field theory suppression scales, and the fundamental Planck scale in large extra dimension models, with the full dataset providing up to 14% stronger exclusions than the 2016 data alone.

What carries the argument

The single-photon plus missing transverse momentum final state interpreted through simplified dark matter production models and the ADD large extra dimensions framework.

If this is right

  • Stronger upper limits on dark matter mediator masses in simplified models.
  • Tighter bounds on the effective field theory suppression scale for contact interactions.
  • Improved constraints on the fundamental Planck scale in large extra dimensions models.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The updated limits narrow the viable parameter space for dark matter candidates that couple to quarks via mediators.
  • Similar searches in other final states could be combined to test consistency across different production mechanisms.

Load-bearing premise

The standard model accurately describes all background processes in this final state and the simplified models used for interpretation correctly represent the new physics signatures.

What would settle it

A statistically significant excess of events in the single-photon plus missing transverse momentum signal region above the predicted standard model background would indicate new physics and contradict the no-deviation result.

Figures

Figures reproduced from arXiv: 2511.17310 by CMS Collaboration.

Figure 1
Figure 1. Figure 1: Leading-order diagrams of graviton production in the ADD model (left), simplified [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Distribution of E γ T /p miss T 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. Events are also rejected if the minimum opening… view at source ↗
Figure 3
Figure 3. Figure 3: Distribution of ∆ϕ(⃗p miss T ,⃗p γ T ) 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 [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Comparison of data and background post-fit distributions in the e [PITH_FULL_IMAGE:figures/full_fig_p014_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Comparison of data and background post-fit distributions in the ee [PITH_FULL_IMAGE:figures/full_fig_p015_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Comparison of data and background post-fit distributions for the vertical (left) and [PITH_FULL_IMAGE:figures/full_fig_p015_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: The ratio of 95% CL upper cross section limits to the theoretical cross section ( [PITH_FULL_IMAGE:figures/full_fig_p016_7.png] view at source ↗
Figure 8
Figure 8. 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, respec￾tively, are shown as a function of MDM, using the 2016–2018 data set. Simplified model DM parameters gq = 0.25 and gDM = 1 are assumed. Also shown are corresponding exclusion con￾tours, where regions above the curves are excluded, from… view at source ↗
Figure 9
Figure 9. Figure 9: The 95% CL observed and expected lower limits on [PITH_FULL_IMAGE:figures/full_fig_p018_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: The 95% CL upper limits on the ADD graviton production cross section as a function [PITH_FULL_IMAGE:figures/full_fig_p018_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Lower limit on the fundamental Planck scale [PITH_FULL_IMAGE:figures/full_fig_p019_11.png] view at source ↗
read the original 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.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The manuscript presents a search for new physics in the single-photon plus large missing transverse momentum final state using 101 fb^{-1} of 13 TeV proton-proton collision data collected by CMS in 2017-2018. Combined with a prior analysis of 36 fb^{-1} from 2016 (total 137 fb^{-1}), no significant deviations from standard model expectations are observed. The results are interpreted to set 95% CL limits on simplified dark matter models (improving mediator mass exclusion reach by up to 14%) and large extra dimensions (improvements of 11% on the EFT suppression scale and 10% on the fundamental Planck scale), claiming these as the most stringent constraints to date.

Significance. If the background estimation, systematic uncertainties, and statistical methods are validated as described, the work provides meaningful incremental improvements to existing limits on dark matter and LED parameters using the full Run 2 dataset. The absence of deviations reinforces SM consistency in this channel, and the combined luminosity yields a modest but quantifiable gain in sensitivity. This is a standard, solid contribution to LHC BSM searches with clear falsifiable predictions via the reported limits.

major comments (1)
  1. [§5] §5 (Background Estimation and Validation): The extrapolation of background predictions from control regions (e.g., Z→ℓℓγ enriched or low-MET samples) to the high-MET signal region for the 2017-2018 dataset must explicitly demonstrate consistency with 2016 data regarding pile-up modeling and photon identification efficiencies; any unaccounted period-dependent differences would directly impact the no-deviation claim and the derived 95% CL limits on DM mediator masses.
minor comments (2)
  1. [Table 1] Table 1: The breakdown of systematic uncertainties should include a column for the combined 137 fb^{-1} dataset to allow direct assessment of the improvement over the 2016-only result.
  2. [Figure 4] Figure 4 (limit plots): Adding the 2016-only exclusion curves as dashed lines would facilitate immediate visual comparison of the 14% reach improvement claimed in the abstract.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the positive assessment and recommendation for minor revision. We address the single major comment on background estimation and validation below, agreeing to enhance explicit comparisons as suggested while maintaining the robustness of our analysis.

read point-by-point responses
  1. Referee: [§5] §5 (Background Estimation and Validation): The extrapolation of background predictions from control regions (e.g., Z→ℓℓγ enriched or low-MET samples) to the high-MET signal region for the 2017-2018 dataset must explicitly demonstrate consistency with 2016 data regarding pile-up modeling and photon identification efficiencies; any unaccounted period-dependent differences would directly impact the no-deviation claim and the derived 95% CL limits on DM mediator masses.

    Authors: We thank the referee for highlighting this point. Our analysis already includes validations of the background extrapolation using control regions for the 2017-2018 dataset, with systematic uncertainties assigned to account for potential differences in pile-up modeling and photon identification efficiencies relative to 2016. These uncertainties are propagated to the final limits. To make the consistency more explicit, we will revise Section 5 in the updated manuscript to include a dedicated comparison of pile-up distributions and photon ID efficiency measurements across the 2016 and 2017-2018 periods, demonstrating agreement within uncertainties. This addition will not change the central results or limits but will strengthen the presentation. revision: yes

Circularity Check

0 steps flagged

No circularity: results from direct data-to-SM comparison and external model limits

full rationale

The paper's derivation consists of collecting 101 fb^{-1} of 2017-2018 data, estimating SM backgrounds via Monte Carlo normalized in control regions, comparing observed yields to predictions in the single-photon + MET signal region, finding no significant excess, and setting 95% CL limits on external simplified dark matter and large extra dimensions models. The combination with the prior 36 fb^{-1} 2016 dataset is a straightforward luminosity sum for improved sensitivity and does not reduce any central claim to a self-citation or fitted input by construction. All load-bearing steps rely on experimental data, standard simulation tools, and independently defined theoretical models rather than re-deriving inputs from outputs.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The central claim rests on standard domain assumptions about background modeling and model interpretations rather than new free parameters or invented entities.

axioms (2)
  • domain assumption Standard Model processes accurately model the expected background in single photon plus missing transverse momentum events.
    Invoked when stating no significant deviations from SM expectations.
  • domain assumption The simplified theoretical models for dark matter and large extra dimensions are appropriate for setting exclusion limits at 95% CL.
    Used to interpret the null result as constraints on model parameters.

pith-pipeline@v0.9.0 · 5482 in / 1321 out tokens · 35107 ms · 2026-05-17T20:14:46.716128+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Reference graph

Works this paper leans on

60 extracted references · 60 canonical work pages · 5 internal anchors

  1. [1]

    The hierarchy problem and new dimensions at a millimeter

    N. Arkani-Hamed, S. Dimopoulos, and G. Dvali, “The hierarchy problem and new dimensions at a millimeter”,Phys. Lett. B429(1998) 263, doi:10.1016/S0370-2693(98)00466-3

  2. [2]

    Phenomenology, astrophysics, and cosmology of theories with submillimeter dimensions and TeV scale quantum gravity

    N. Arkani-Hamed, S. Dimopoulos, and G. Dvali, “Phenomenology, astrophysics, and cosmology of theories with submillimeter dimensions and TeV scale quantum gravity”, Phys. Rev. D59(1999) 086004,doi:10.1103/PhysRevD.59.086004

  3. [3]

    Infinitely large new dimensions

    N. Arkani-Hamed, S. Dimopoulos, G. R. Dvali, and N. Kaloper, “Infinitely large new dimensions”,Phys. Rev. Lett.84(2000) 586,doi:10.1103/PhysRevLett.84.586

  4. [4]

    Maverick dark matter at colliders

    M. Beltran et al., “Maverick dark matter at colliders”,J. High Energy Phys.2010(2010), no. 09, 037,doi:10.1007/JHEP09(2010)037

  5. [5]

    Constraints on dark matter from colliders

    J. Goodman et al., “Constraints on dark matter from colliders”,Phys. Rev. D82(2010) 116010,doi:10.1103/PhysRevD.82.116010

  6. [6]

    Missing energy signatures of dark matter at the LHC

    P . J. Fox, R. Harnik, J. Kopp, and Y. Tsai, “Missing energy signatures of dark matter at the LHC”,Phys. Rev. D85(2012) 056011,doi:10.1103/PhysRevD.85.056011

  7. [7]

    Dark matter benchmark models for early LHC Run-2 searches: Report of the ATLAS/CMS dark matter forum

    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, doi:10.1016/j.dark.2019.100371

  8. [8]

    Recommendations on presenting LHC searches for missing transverse energy signals using simplifieds-channel models of dark matter

    A. Boveia et al., “Recommendations on presenting LHC searches for missing transverse energy signals using simplifieds-channel models of dark matter”,Phys. Dark Univ.27 (2020) 100365,doi:10.1016/j.dark.2019.100365

  9. [9]

    Confronting the Fermi line with LHC data: An effective theory of dark matter interaction with photons

    A. Nelson et al., “Confronting the Fermi line with LHC data: An effective theory of dark matter interaction with photons”,Phys. Rev. D89(2014) 056011, doi:10.1103/PhysRevD.89.056011

  10. [10]

    Search for new physics in final states with a single photon and missing transverse momentum in proton-proton collisions at √s=13 TeV

    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”,J. High Energy Phys.2019(2019), no. 02, 074,doi:10.1007/JHEP02(2019)074

  11. [11]

    Search for dark matter in association with an energetic photon in ppcollisions at √s=13 TeV with the ATLAS detector

    ATLAS Collaboration, “Search for dark matter in association with an energetic photon in ppcollisions at √s=13 TeV with the ATLAS detector”,J. High Energy Phys.2021(2021), no. 02, 226,doi:10.1007/JHEP02(2021)226. References 19

  12. [12]

    HEPData record for this analysis

    “HEPData record for this analysis”, 2025.doi:10.17182/hepdata.166403

  13. [13]

    The CMS experiment at the CERN LHC

    CMS Collaboration, “The CMS experiment at the CERN LHC”,J. Instrum.3(2008) S08004,doi:10.1088/1748-0221/3/08/S08004

  14. [14]

    Development of the CMS detector for the CERN LHC Run 3

    CMS Collaboration, “Development of the CMS detector for the CERN LHC Run 3”,J. Instrum.19(2024) P05064,doi:10.1088/1748-0221/19/05/P05064

  15. [15]

    Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC

    CMS Collaboration, “Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC”,J. Instrum.16(2021) P05014, doi:10.1088/1748-0221/16/05/P05014

  16. [16]

    Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $\sqrt{s}=$ 13 TeV

    CMS Collaboration, “Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s=13 TeV”,J. Instrum.13(2018) P06015, doi:10.1088/1748-0221/13/06/P06015

  17. [17]

    Description and performance of track and primary-vertex reconstruction with the CMS tracker

    CMS Collaboration, “Description and performance of track and primary-vertex reconstruction with the CMS tracker”,J. Instrum.9(2014) P10009, doi:10.1088/1748-0221/9/10/P10009

  18. [18]

    Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV

    CMS Collaboration, “Performance of the CMS level-1 trigger in proton-proton collisions at √s=13 TeV”,J. Instrum.15(2020) P10017, doi:10.1088/1748-0221/15/10/P10017

  19. [19]

    The CMS trigger system

    CMS Collaboration, “The CMS trigger system”,J. Instrum.12(2017) P01020, doi:10.1088/1748-0221/12/01/P01020

  20. [20]

    Performance of the CMS high-level trigger during LHC Run 2

    CMS Collaboration, “Performance of the CMS high-level trigger during LHC run 2”,J. Instrum.19(2024) P11021,doi:10.1088/1748-0221/19/11/P11021

  21. [21]

    Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid

    CMS Collaboration, “Technical proposal for the phase-ii upgrade of the CMS detector”, technical report, CERN, 2015.doi:10.17181/CERN.VU8I.D59J

  22. [22]

    Particle-flow reconstruction and global event description with the CMS detector

    CMS Collaboration, “Particle-flow reconstruction and global event description with the CMS detector”,J. Instrum.12(2017) P10003, doi:10.1088/1748-0221/12/10/P10003

  23. [23]

    The anti-kT jet clustering algorithm

    M. Cacciari, G. P . Salam, and G. Soyez, “The anti-kT jet clustering algorithm”,J. High Energy Phys.2008(2008), no. 04, 063,doi:10.1088/1126-6708/2008/04/063

  24. [24]

    Fastjet user manual

    M. Cacciari, G. P . Salam, and G. Soyez, “Fastjet user manual”,Eur. Phys. J. C72(2012) 1896,doi:10.1140/epjc/s10052-012-1896-2

  25. [25]

    Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV

    CMS Collaboration, “Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV”,J. Instrum.12(2017) P02014, doi:10.1088/1748-0221/12/02/P02014

  26. [26]

    Performance of missing transverse momentum reconstruction in proton-proton collisions at √s=13 TeV using the CMS detector

    CMS Collaboration, “Performance of missing transverse momentum reconstruction in proton-proton collisions at √s=13 TeV using the CMS detector”,J. Instrum.14(2019) P07004,doi:10.1088/1748-0221/14/07/P07004

  27. [27]

    Jet algorithms performance in 13 TeV data

    CMS Collaboration, “Jet algorithms performance in 13 TeV data”, CMS Physics Analysis Summary CMS-PAS-JME-16-003, CERN, 2017. 20

  28. [28]

    Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at √s=8 TeV

    CMS Collaboration, “Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at √s=8 TeV”,J. Instrum.10(2015) P08010, doi:10.1088/1748-0221/10/08/P08010

  29. [29]

    Performance of the reconstruction and identification of high-momentum muons in proton-proton collisions at √s=13 TeV

    CMS Collaboration, “Performance of the reconstruction and identification of high-momentum muons in proton-proton collisions at √s=13 TeV”,J. Instrum.15 (2020) P02027,doi:10.1088/1748-0221/15/02/P02027

  30. [30]

    Parton distributions from high-precision collider data

    NNPDF Collaboration, “Parton distributions from high-precision collider data”,Eur. Phys. J. C77(2017) 663,doi:10.1140/epjc/s10052-017-5199-5

  31. [31]

    The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

    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”,J. High Energy Phys.2014(2014), no. 07, 079,doi:10.1007/JHEP07(2014)079

  32. [32]

    Sjöstrand et al.,An introduction to PYTHIA 8.2, Computer Physics Communications191(2015) 159,issn: 0010-4655, url:http://dx.doi.org/10.1016/j.cpc.2015.01.024

    T. Sj ¨ostrand et al., “An introduction to PYTHIA 8.2”,Comput. Phys. Commun.191(2015) 159,doi:10.1016/j.cpc.2015.01.024

  33. [33]

    Event generator tunes obtained from underlying event and multiparton scattering measurements

    CMS Collaboration, “Event generator tunes obtained from underlying event and multiparton scattering measurements”,Eur. Phys. J. C76(2016) 155, doi:10.1140/epjc/s10052-016-3988-x

  34. [34]

    GEANT4—a simulation toolkit

    GEANT4 Collaboration, “GEANT4—a simulation toolkit”,Nucl. Instrum. Meth. A506 (2003) 250,doi:10.1016/S0168-9002(03)01368-8

  35. [35]

    GEANT4 developments and applications

    J. Allison, “GEANT4 developments and applications”,IEEE T rans. Nucl. Sci53(2006) 270,doi:10.1109/TNS.2006.869826

  36. [36]

    A novel beam halo monitor for the CMS experiment at the LHC

    S. Orfanelli et al., “A novel beam halo monitor for the CMS experiment at the LHC”,J. Instrum.10(2015) P11011,doi:10.1088/1748-0221/10/11/P11011

  37. [37]

    Vector boson production at hadron colliders: transverse-momentum resummation and leptonic decay

    S. Catani, D. de Florian, G. Ferrera, and M. Grazzini, “Vector boson production at hadron colliders: transverse-momentum resummation and leptonic decay”,J. High Energy Phys. 2015(2015), no. 12, 047,doi:10.1007/JHEP12(2015)047

  38. [38]

    NLO QCD and electroweak corrections toW+γproduction with leptonicW-boson decays

    A. Denner, S. Dittmaier, M. Hecht, and C. Pasold, “NLO QCD and electroweak corrections toW+γproduction with leptonicW-boson decays”,J. High Energy Phys. 2015(2015), no. 04, 018,doi:10.1007/JHEP04(2015)018

  39. [39]

    NLO QCD and electroweak corrections toZ+γproduction with leptonicZ-boson decays

    A. Denner, S. Dittmaier, M. Hecht, and C. Pasold, “NLO QCD and electroweak corrections toZ+γproduction with leptonicZ-boson decays”,J. High Energy Phys.2016 (2016), no. 02, 057,doi:10.1007/JHEP02(2016)057

  40. [40]

    The photon content of the proton

    A. V . Manohar, P . Nason, G. P . Salam, and G. Zanderighi, “The photon content of the proton”,J. High Energy Phys.2017(2017), no. 12, 046, doi:10.1007/JHEP12(2017)046

  41. [41]

    Measurement of the inclusiveWandZproduction cross sections in pp collisions at √s=7 TeV with the CMS experiment

    CMS Collaboration, “Measurement of the inclusiveWandZproduction cross sections in pp collisions at √s=7 TeV with the CMS experiment”,J. High Energy Phys.2011(2011), no. 10, 132,doi:10.1007/JHEP10(2011)132

  42. [42]

    Precise predictions for V+jets dark matter backgrounds

    J. M. Lindert et al., “Precise predictions for V+jets dark matter backgrounds”,Eur. Phys. J. C77(2017) 829,doi:10.1140/epjc/s10052-017-5389-1. References 21

  43. [43]

    Precision luminosity measurement in proton-proton collisions at√s = 13 TeV in 2015 and 2016 at CMS

    CMS Collaboration, “Precision luminosity measurement in proton-proton collisions at√s=13 TeV in 2015 and 2016 at CMS”,Eur. Phys. J. C81(2021) 800, doi:10.1140/epjc/s10052-021-09538-2

  44. [44]

    CMS luminosity measurement for the 2017 data-taking period at√s=13 TeV

    CMS Collaboration, “CMS luminosity measurement for the 2017 data-taking period at√s=13 TeV”, CMS Physics Analysis Summary CMS-PAS-LUM-17-004, CERN, 2018

  45. [45]

    CMS luminosity measurement for the 2018 data-taking period at√s=13 TeV

    CMS Collaboration, “CMS luminosity measurement for the 2018 data-taking period at√s=13 TeV”, CMS Physics Analysis Summary CMS-PAS-LUM-18-002, CERN, 2019

  46. [46]

    The CMS statistical analysis and combination tool: Combine

    CMS Collaboration, “The CMS statistical analysis and combination tool: Combine”, Comput. Softw. Big Sci.8(2024) 19,doi:10.1007/s41781-024-00121-4

  47. [47]

    Confidence Level Computation for Combining Searches with Small Statistics

    T. Junk, “Confidence level computation for combining searches with small statistics”, Nucl. Instrum. Meth. A434(1999) 435,doi:10.1016/S0168-9002(99)00498-2

  48. [48]

    Presentation of search results: the CL s technique

    A. L. Read, “Presentation of search results: Thecl s technique”,J. Phys. G28(2002) 2693, doi:10.1088/0954-3899/28/10/313

  49. [49]

    Asymptotic formulae for likelihood-based tests of new physics

    G. Cowan, K. Cranmer, E. Gross, and O. Vitells, “Asymptotic formulae for likelihood-based tests of new physics”,Eur. Phys. J. C71(2011) 1554, doi:10.1140/epjc/s10052-011-1554-0. [Erratum: doi:10.1140/epjc/s10052-013-2501-z]

  50. [50]

    Planck 2015 results. XIII. Cosmological parameters

    Planck Collaboration, “Planck 2015 results. XIII. Cosmological parameters”,Astron. Astrophys.594(2016) A13,doi:10.1051/0004-6361/201525830

  51. [51]

    MadDM v.1.0: Computation of dark matter relic abundance using MadGraph5

    M. Backovic, K. Kong, and M. McCaskey, “MadDM v.1.0: Computation of dark matter relic abundance using MadGraph5”,Physics of the Dark Universe5-6(2014) 18, doi:10.1016/j.dark.2014.04.001

  52. [52]

    New results from the search for low-mass weakly interacting massive particles with the CDMS low ionization threshold experiment

    SuperCDMS Collaboration, “New results from the search for low-mass weakly interacting massive particles with the CDMS low ionization threshold experiment”, Phys. Rev. Lett.116(2016) 071301,doi:10.1103/PhysRevLett.116.071301

  53. [53]

    Dark matter search results from 4.2 tonne-years of exposure of the LUX-ZEPLIN (LZ) experiment

    LZ Collaboration, “Dark matter search results from 4.2 tonne-years of exposure of the LUX-ZEPLIN (LZ) experiment”,Phys. Rev. Lett.135(2025) 011802, doi:10.1103/4dyc-z8zf

  54. [54]

    Dark matter results from 54-ton-day exposure of the PandaX-II experiment

    PandaX-II Collaboration, “Dark matter results from 54-ton-day exposure of the PandaX-II experiment”,Phys. Rev. Lett.119(2017) 181302, doi:10.1103/PhysRevLett.119.181302

  55. [55]

    First dark matter search with nuclear recoils from the XENONnT experiment

    XENON Collaboration, “First dark matter search with nuclear recoils from the XENONnT experiment”,Phys. Rev. Lett.131(2023) 041003, doi:10.1103/PhysRevLett.131.041003

  56. [56]

    Results on light dark matter particles with a low-threshold CRESST-II detector

    CRESST Collaboration, “Results on light dark matter particles with a low-threshold CRESST-II detector”,Eur. Phys. J. C76(2016) 25, doi:10.1140/epjc/s10052-016-3877-3

  57. [57]

    Dark matter search results from the PICO-60 c 3f8 bubble chamber

    PICO Collaboration, “Dark matter search results from the PICO-60 c 3f8 bubble chamber”, Phys. Rev. Lett.118(2017) 251301,doi:10.1103/PhysRevLett.118.251301. 22

  58. [58]

    Search for gev-scale dark matter annihilation in the Sun with IceCube DeepCore

    IceCube Collaboration, “Search for gev-scale dark matter annihilation in the Sun with IceCube DeepCore”,Phys. Rev. D105(2022) 062004, doi:10.1103/PhysRevD.105.062004

  59. [59]

    Final results of the PICASSO dark matter search experiment

    E. Behnke et al., “Final results of the PICASSO dark matter search experiment”, Astropart. Phys.90(2017) 85,doi:10.1016/j.astropartphys.2017.02.005

  60. [60]

    Search for neutrinos from annihilation of captured low-mass dark matter particles in the Sun by Super-Kamiokande

    Super-Kamiokande Collaboration, “Search for neutrinos from annihilation of captured low-mass dark matter particles in the Sun by Super-Kamiokande”,Phys. Rev. Lett.114 (2015) 141301,doi:10.1103/PhysRevLett.114.141301. 23 A The CMS Collaboration Yerevan Physics Institute, Yerevan, Armenia A. Hayrapetyan, V . Makarenko , A. Tumasyan1 Institut f ¨ ur Hochener...