CMS-PAS-SUS-24-003 | ||
Search for Higgsinos in final states with low-momentum lepton-track pairs at 13 TeV | ||
CMS Collaboration | ||
15 May 2025 | ||
Abstract: A search for the pair production of Higgsinos in final states with large missing transverse momentum and either two reconstructed muons or a reconstructed lepton (muon or electron) and an isolated track is presented. The analyzed data are proton-proton collisions with an integrated luminosity of 138 fb$ ^{-1} $ collected by the CMS experiment in proton-proton collisions at $ \sqrt{s} = $ 13 TeV. The signal scenario considers two neutralino states differing in mass by small values of approximately 0.5--5 GeV, in which the heavier neutralino decays into the lighter neutralino and two same-flavor leptons. The selection focuses on cases in which either the lepton $ p_{\mathrm{T}} $ or the opening angle between the leptons is smaller than that required by previous searches. Multivariate discriminants are used to enhance the sensitivity by efficiently rejecting backgrounds from SM processes or fake tracks and leptons. The search explores a unique phase space and probes a previously unexplored region in the signal model parameter space. Mass differences between the lightest and next-to-lightest neutralinos are probed as low as 1.5 GeV, assuming a 100 GeV Higgsino, as well as Higgsino masses up to 145 GeV for a mass difference of 4 GeV. | ||
Links: CDS record (PDF) ; CADI line (restricted) ; |
Figures | |
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Figure 1:
Feynman diagrams illustrating the production and decay of electroweakinos in the Higgsino simplified model, through the $ \tilde{\chi}_{2}^{0} \tilde{\chi}_{1}^{0} $ (left) and $ \tilde{\chi}_{2}^{0} \tilde{\chi}_{1}^{\pm} $ (right) processes. |
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Figure 1-a:
Feynman diagrams illustrating the production and decay of electroweakinos in the Higgsino simplified model, through the $ \tilde{\chi}_{2}^{0} \tilde{\chi}_{1}^{0} $ (left) and $ \tilde{\chi}_{2}^{0} \tilde{\chi}_{1}^{\pm} $ (right) processes. |
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Figure 1-b:
Feynman diagrams illustrating the production and decay of electroweakinos in the Higgsino simplified model, through the $ \tilde{\chi}_{2}^{0} \tilde{\chi}_{1}^{0} $ (left) and $ \tilde{\chi}_{2}^{0} \tilde{\chi}_{1}^{\pm} $ (right) processes. |
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Figure 2:
Unweighted distributions of event-level BDT scores for events drawn from the signal and background training samples in the dimuon category (left) and muon+track category (right), based on Phase-1 conditions. |
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Figure 2-a:
Unweighted distributions of event-level BDT scores for events drawn from the signal and background training samples in the dimuon category (left) and muon+track category (right), based on Phase-1 conditions. |
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Figure 2-b:
Unweighted distributions of event-level BDT scores for events drawn from the signal and background training samples in the dimuon category (left) and muon+track category (right), based on Phase-1 conditions. |
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Figure 3:
Distributions of the reconstructed ditau invariant mass ($ m_{\tau\tau} $) in the BDT sideband control region, shown for Phase-0 (left) and Phase-1 (right). The non-$ \tau\tau $ background is estimated using the data-driven jetty background method described in the text. |
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Figure 3-a:
Distributions of the reconstructed ditau invariant mass ($ m_{\tau\tau} $) in the BDT sideband control region, shown for Phase-0 (left) and Phase-1 (right). The non-$ \tau\tau $ background is estimated using the data-driven jetty background method described in the text. |
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Figure 3-b:
Distributions of the reconstructed ditau invariant mass ($ m_{\tau\tau} $) in the BDT sideband control region, shown for Phase-0 (left) and Phase-1 (right). The non-$ \tau\tau $ background is estimated using the data-driven jetty background method described in the text. |
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Figure 4:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the dimuon category (top) and the dimuon invariant mass in the signal region for events with event classifier scores greater than 0.1 (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The gray hatching shows the statistical uncertainty in the background prediction, while the green band indicates the relative systematic uncertainty in the predicted background. The vertical black bars represent the total uncertainty, including both statistical and systematic components. Two example signal scenarios are also shown as colored lines. |
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Figure 4-a:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the dimuon category (top) and the dimuon invariant mass in the signal region for events with event classifier scores greater than 0.1 (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The gray hatching shows the statistical uncertainty in the background prediction, while the green band indicates the relative systematic uncertainty in the predicted background. The vertical black bars represent the total uncertainty, including both statistical and systematic components. Two example signal scenarios are also shown as colored lines. |
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Figure 4-b:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the dimuon category (top) and the dimuon invariant mass in the signal region for events with event classifier scores greater than 0.1 (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The gray hatching shows the statistical uncertainty in the background prediction, while the green band indicates the relative systematic uncertainty in the predicted background. The vertical black bars represent the total uncertainty, including both statistical and systematic components. Two example signal scenarios are also shown as colored lines. |
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Figure 4-c:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the dimuon category (top) and the dimuon invariant mass in the signal region for events with event classifier scores greater than 0.1 (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The gray hatching shows the statistical uncertainty in the background prediction, while the green band indicates the relative systematic uncertainty in the predicted background. The vertical black bars represent the total uncertainty, including both statistical and systematic components. Two example signal scenarios are also shown as colored lines. |
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Figure 4-d:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the dimuon category (top) and the dimuon invariant mass in the signal region for events with event classifier scores greater than 0.1 (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The gray hatching shows the statistical uncertainty in the background prediction, while the green band indicates the relative systematic uncertainty in the predicted background. The vertical black bars represent the total uncertainty, including both statistical and systematic components. Two example signal scenarios are also shown as colored lines. |
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Figure 5:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the muon + exclusive track category (top), and the electron + exclusive track category (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The vertical black bars represent the total uncertainty, including both statistical and systematic components. Example signal benchmark scenarios are also shown as colored lines. |
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Figure 5-a:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the muon + exclusive track category (top), and the electron + exclusive track category (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The vertical black bars represent the total uncertainty, including both statistical and systematic components. Example signal benchmark scenarios are also shown as colored lines. |
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Figure 5-b:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the muon + exclusive track category (top), and the electron + exclusive track category (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The vertical black bars represent the total uncertainty, including both statistical and systematic components. Example signal benchmark scenarios are also shown as colored lines. |
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Figure 5-c:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the muon + exclusive track category (top), and the electron + exclusive track category (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The vertical black bars represent the total uncertainty, including both statistical and systematic components. Example signal benchmark scenarios are also shown as colored lines. |
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Figure 5-d:
Prefit expected and observed distributions of the event BDT output score in the signal regions for the muon + exclusive track category (top), and the electron + exclusive track category (bottom), shown separately for Phase-0 (left) and Phase-1 (right). The vertical black bars represent the total uncertainty, including both statistical and systematic components. Example signal benchmark scenarios are also shown as colored lines. |
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Figure 6:
The 95% confidence level (CL) upper limits on the fully-degenerate Higgsino production cross section, calculated at NLO+NLL precision [65,66], are shown in color in the plane of $ \Delta m^\pm $ versus the chargino mass. All relevant production modes are simulated at leading order, and the Z* boson is set to decay into either two electrons or two muons with a branching fraction of 5%. The expected (red) and observed (black) exclusion contours are shown assuming the theoretical cross section. Dashed red lines indicate the expected limits with $ \pm $1 and $ \pm$2$ \sigma) $ experimental uncertainty. Dashed black lines indicate the observed limit when varying the theoretical cross section by its uncertainty. The green line represents the minimum $ \Delta m^\pm $ allowed by the theoretical calculation accounting for radiative corrections, as described in [23]. |
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Figure 7:
Comparison of limits with analyses featuring final states with disappearing tracks [34], a soft isolated track [38], and soft opposite-sign electron pairs [67]. |
Tables | |
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Table 1:
Input variables to the BDT used for selecting in-signal tracks in the exclusive track category, ranked by their importance as determined by the TMVA algorithm. |
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Table 2:
Transfer factors and their associated statistical and total relative uncertainties, used to extrapolate background predictions from control regions to the signal region. |
Summary |
A search for Higgsino pair production in compressed mass spectra scenarios is performed using low-momentum lepton-track pairs in proton-proton collisions at $ \sqrt{s} = $ 13 TeV, based on a data sample corresponding to an integrated luminosity of 137 fb$ ^{-1} $ [68,69,70,71] collected with the CMS detector. The results are interpreted in a simplified model featuring a dark matter candidate neutralino that is nearly mass-degenerate with a slightly heavier neutralino and two charginos. The search targets a region of parameter space where sensitivity was limited in previous analyses. This region, characterized by low-mass Higgsinos, is of particular theoretical interest because of its relevance for naturalness and fine-tuning arguments, offering possible resolutions to both the Large and Small Hierarchy problems. The observed yields are statistically consistent with the background-only hypothesis, though a modest excess is observed in the most sensitive signal regions, more pronounced in Phase-1 than in Phase-0. The local significance of the excess reaches approximately 3 standard deviations. These results place additional constraints on natural supersymmetry and other models predicting electroweak multiplet dark matter. |
References | ||||
0 | F. Zwicky | On the masses of nebulae and of clusters of nebulae | Astrophys. J. 86 (1937) 217 | |
2 | V. C. Rubin and W. K. Ford, Jr. | Rotation of the Andromeda nebula from a spectroscopic survey of emission regions | Astrophys. J. 159 (1970) 379 | |
3 | L. Lopez Honorez, E. Nezri, J. F. Oliver, and M. H. G. Tytgat | The Inert Doublet Model: An Archetype for Dark Matter | JCAP 02 (2007) 028 | hep-ph/0612275 |
4 | D. Tucker-Smith and N. Weiner | Inelastic dark matter | PRD 64 (2001) 043502 | hep-ph/0101138 |
5 | E. Izaguirre, G. Krnjaic, and B. Shuve | Discovering Inelastic Thermal-Relic Dark Matter at Colliders | PRD 93 (2016) 063523 | 1508.03050 |
6 | P. Ramond | Dual theory for free fermions | PRD 3 (1971) 2415 | |
7 | Y. A. Gol'fand and E. P. Likhtman | Extension of the algebra of Poincaré group generators and violation of P invariance | JETP Lett. 13 (1971) 323 | |
8 | A. Neveu and J. H. Schwarz | Factorizable dual model of pions | NPB 31 (1971) 86 | |
9 | D. V. Volkov and V. P. Akulov | Possible universal neutrino interaction | JETP Lett. 16 (1972) 438 | |
10 | J. Wess and B. Zumino | A Lagrangian model invariant under supergauge transformations | PLB 49 (1974) 52 | |
11 | J. Wess and B. Zumino | Supergauge transformations in four dimensions | NPB 70 (1974) 39 | |
12 | P. Fayet | Supergauge invariant extension of the Higgs mechanism and a model for the electron and its neutrino | NPB 90 (1975) 104 | |
13 | P. Fayet and S. Ferrara | Supersymmetry | Phys. Rept. 32 (1977) 249 | |
14 | H. P. Nilles | Supersymmetry, supergravity and particle physics | Phys. Rep. 110 (1984) 1 | |
15 | R. Barbieri and G. F. Giudice | Upper bounds on supersymmetric particle masses | Nuclear Physics B 306 (1988) 63 | |
16 | B. de Carlos and J. A. Casas | One-loop analysis of the electroweak breaking in supersymmetric models and the fine-tuning problem | PLB 309 (1993) 320 | |
17 | ATLAS Collaboration | Statistical Combination of ATLAS Run 2 Searches for Charginos and Neutralinos at the LHC | PRL 133 (2024) 031802 | 2402.08347 |
18 | CMS Collaboration | Combined search for electroweak production of winos, binos, higgsinos, and sleptons in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | PRD 109 (2024) 112001 | CMS-SUS-21-008 2402.01888 |
19 | S. Ask | A Review of the Supersymmetry Searches at LEP | in Proceedings of the 38th Rencontres de Moriond: Electroweak Interactions and Unified Theories, 2003 link |
hep-ex/0305007 |
20 | LZ Collaboration | First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment | PRL 131 (2023) 041002 | 2207.03764 |
21 | XENON100 Collaboration | XENON100 Dark Matter Results from a Combination of 477 Live Days | PRD 94 (2016) 122001 | 1609.06154 |
22 | PandaX Collaboration | First dark matter search results from the PandaX-I experiment | Sci. China Phys. Mech. Astron. 57 (2014) 2024 | 1408.5114 |
23 | N. Nagata and S. Shirai | Higgsino dark matter in high-scale supersymmetry | JHEP 01 (2015) 029 | 1410.4549 |
24 | CMS Collaboration | Phenomenological MSSM interpretation of CMS searches in pp collisions at 13 TeV | technical report, CERN, Geneva, 2024 CDS |
|
25 | ALEPH Collaboration | Search for charginos nearly mass degenerate with the lightest neutralino in e+ e- collisions at center-of-mass energies up to 209-GeV | PLB 533 (2002) 223 | hep-ex/0203020 |
26 | A. Heister, S. Schael, and G. Dissertori | Absolute mass lower limit for the lightest neutralino of the mssm from ee data at s up to 209 gev | PLB 583 (2004) 247 | |
27 | DELPHI Collaboration | Searches for supersymmetric particles in e+ e- collisions up to 208-GeV and interpretation of the results within the MSSM | EPJC 31 (2003) 421 | hep-ex/0311019 |
28 | L3collaboration Collaboration | Search for charginos with a small mass difference to the lightest supersymmetric particle at = 189 GeV | PLB 482 (2000) 31 | |
29 | OPAL Collaboration | Search for anomalous production of dilepton events with missing transverse momentum in e+ e- collisions at s**(1/2) = 183-Gev to 209-GeV | EPJC 32 (2004) 453 | hep-ex/0309014 |
30 | OPAL Collaboration | Search for nearly mass degenerate charginos and neutralinos at LEP | EPJC 29 (2003) 479 | hep-ex/0210043 |
31 | G. Aad and B. Abbott | Searches for electroweak production of supersymmetric particles with compressed mass spectra in sqrt(s) = 13 tev pp collisions with the ATLAS detector | (mar, ), 2020 PRD 10 (2020) 1 |
|
32 | ATLAS Collaboration | Search for chargino-neutralino pair production in final states with three leptons and missing transverse momentum in $ \sqrt{s} = $ 13 TeV pp collisions with the ATLAS detector | EPJC 81 (2021) 1118 | 2106.01676 |
33 | CMS Collaboration | Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | JHEP 04 (2022) 091 | CMS-SUS-18-004 2111.06296 |
34 | CMS Collaboration | Search for disappearing tracks in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | PLB 806 (2020) 135502 | CMS-EXO-19-010 2004.05153 |
35 | ATLAS Collaboration | Search for long-lived charginos based on a disappearing-track signature using 136 fb$ ^{-1} $ of pp collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector | EPJC 82 (2022) 606 | 2201.02472 |
36 | CMS Collaboration | Search for supersymmetry in final states with disappearing tracks in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | PRD 109 (2024) 072007 | CMS-SUS-21-006 2309.16823 |
37 | ATLAS Collaboration | Search for nearly mass-degenerate higgsinos using low-momentum mildly-displaced tracks in $ pp $ collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector | PRL 132 (2024) 221801 | 2401.14046 |
38 | CMS Collaboration | Search for compressed electroweakinos with low-momentum isolated tracks | technical report, CERN, Geneva, 2025 CDS |
|
39 | CMS Collaboration | The CMS experiment at the CERN LHC | JINST 3 (2008) S08004 | |
40 | CMS Collaboration | Development of the CMS detector for the CERN LHC Run 3 | JINST 19 (2024) P05064 | |
41 | 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 |
42 | CMS Collaboration | The CMS trigger system | JINST 12 (2017) P01020 | CMS-TRG-12-001 1609.02366 |
43 | CMS Collaboration | Performance of the CMS high-level trigger during LHC run 2 | JINST 19 (2024) P11021 | CMS-TRG-19-001 2410.17038 |
44 | 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 |
45 | 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 |
46 | 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 |
47 | CMS Collaboration | Particle-flow reconstruction and global event description with the CMS detector | JINST 12 (2017) P10003 | CMS-PRF-14-001 1706.04965 |
48 | 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 |
49 | 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 |
50 | M. Cacciari, G. P. Salam, and G. Soyez | The anti-$ k_{\mathrm{T}} $ jet clustering algorithm | JHEP 04 (2008) 063 | 0802.1189 |
51 | M. Cacciari, G. P. Salam, and G. Soyez | FastJet user manual | EPJC 72 (2012) 1896 | 1111.6097 |
52 | T. Sjöstrand et al. | An Introduction to PYTHIA 8.2 | Comput. Phys. Commun. 191 (2015) 159 | 1410.3012 |
53 | S. Abdullin et al. | The fast simulation of the CMS detector at LHC | J. Phys. Conf. Ser. 331 (2011) 032049 | |
54 | A. Giammanco | The fast simulation of the CMS experiment | J. Phys. Conf. Ser. 513 (2014) 022012 | |
55 | CMS Collaboration | Event generator tunes obtained from underlying event and multiparton scattering measurements | EPJC 76 (2016) 155 | CMS-GEN-14-001 1512.00815 |
56 | 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 |
57 | NNPDF Collaboration | Parton distributions with QED corrections | NPB 877 (2013) 290 | 1308.0598 |
58 | NNPDF Collaboration | Parton distributions from high-precision collider data | EPJC 77 (2017) 663 | 1706.00428 |
59 | J. Therhaag | TMVA Toolkit for multivariate data analysis in ROOT | PoS 51 (2010) 0 | |
60 | R. K. Ellis, I. Hinchliffe, M. Soldate, and J. J. Van Der Bij | Higgs decay to $ \tau^{+}\tau^{-} $-a possible signature of intermediate mass higgs bosons at high energy hadron colliders | Nuclear Physics B 297 (1988) 221 | |
61 | ATLAS Collaboration | Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics | 0901.0512 | |
62 | CMS Collaboration | CMS technical design report, volume II: Physics performance | JPG 34 (2007) 995 | |
63 | T. Junk | Confidence level computation for combining searches with small statistics | NIM A 434 (1999) 435 | hep-ex/9902006 |
64 | A. L. Read | Presentation of search results: the cls technique | Journal of Physics G: (sep, ) 2693, 2002 Nuclear and Particle Physics 28 (2002) 2693 |
|
65 | B. Fuks, M. Klasen, D. R. Lamprea, and M. Rothering | Gaugino production in proton-proton collisions at a center-of-mass energy of 8 TeV | JHEP 10 (2012) 081 | 1207.2159 |
66 | B. Fuks, M. Klasen, D. R. Lamprea, and M. Rothering | Precision predictions for electroweak superpartner production at hadron colliders with \sc Resummino | EPJC 73 (2013) 2480 | 1304.0790 |
67 | CMS Collaboration | Search for new physics with compressed mass spectra in final states with soft leptons and missing transverse energy in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | technical report, CERN, Geneva, 2025 CDS |
|
68 | 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 |
69 | CMS Collaboration | CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV | CMS Physics Analysis Summary, 2018 link |
CMS-PAS-LUM-17-004 |
70 | CMS Collaboration | CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV | CMS Physics Analysis Summary, 2019 link |
CMS-PAS-LUM-18-002 |
71 | A. Giraldi | Precision luminosity measurement with proton-proton collisions at the CMS experiment in Run 2 | in Proc. 41st Int. Conf. on High Energy Physics (ICHEP), 2022 link |
2208.08214 |
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Compact Muon Solenoid LHC, CERN |
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