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CMS-HIG-25-010 ; CERN-EP-2026-197
Search for the rare Higgs boson decay $ \mathrm{H}\to\mathrm{Z}\gamma $ in proton-proton collisions at $ \sqrt{s}= $ 13 and 13.6 TeV
Submitted to Physics Letters B
Abstract: A search is presented for the rare, loop-induced Higgs boson decay $ \mathrm{H}\to\mathrm{Z}\gamma $, where $ \mathrm{Z}\to \ell^{+}\ell^{-} $ and $ \ell = \mathrm{e} $ or $ \mu $. The search is performed using a sample of proton-proton (pp) collision data at the center-of-mass energies of 13 and 13.6 TeV, recorded by the CMS experiment at the LHC and corresponding to a total integrated luminosity of 200 fb$ ^{-1} $. The analysis design separately considers and optimizes sensitivity to Higgs boson production via gluon-gluon fusion, vector boson fusion, and associated-production processes. The signal is extracted from a simultaneous fit to the invariant mass distributions of the $ \ell^{+}\ell^{-}\gamma $ system in the various production channels and event categories. The observed (expected) signal strength $ \mu $, defined as the ratio of the measured product the of cross section and decay branching fraction value $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{H})\mathcal{B}(\mathrm{H}\to\mathrm{Z}\gamma) $ to the corresponding value predicted in the standard model, is found to be $ \mu = $ 1.10 $ ^{+0.52}_{-0.61} (1.00^{+0.49}_{-0.46})$ for a Higgs boson mass of 125.38 GeV. The signal has an observed (expected) significance of 1.9 (2.3) standard deviations.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Feynman diagrams for $ \mathrm{H} \to \mathrm{Z} \gamma $ in the SM. In these loop-induced processes, the amplitudes associated with W bosons in the intermediate state dominate over those with quarks.

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Figure 1-a:
Feynman diagrams for $ \mathrm{H} \to \mathrm{Z} \gamma $ in the SM. In these loop-induced processes, the amplitudes associated with W bosons in the intermediate state dominate over those with quarks.

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Figure 1-b:
Feynman diagrams for $ \mathrm{H} \to \mathrm{Z} \gamma $ in the SM. In these loop-induced processes, the amplitudes associated with W bosons in the intermediate state dominate over those with quarks.

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Figure 1-c:
Feynman diagrams for $ \mathrm{H} \to \mathrm{Z} \gamma $ in the SM. In these loop-induced processes, the amplitudes associated with W bosons in the intermediate state dominate over those with quarks.

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Figure 2:
Distributions in BDT score for the (left) ggF and (right) VBF primary event categories restricted to the Higgs boson mass region (120--130 GeV). The data are shown as black points, the total simulated signal samples are shown as a red line, and the simulated background samples used in BDT training and evaluation are shown as filled histograms. The subset of signal events from VBF production is also displayed independently as a green line. The sum of background MC samples are normalized to match data yields in the Higgs boson mass sideband regions. The signal event yields are scaled by a factor of 250 on the left plot, and 130 on the right plot for visibility. The optimized BDT score bin boundaries are shown as vertical dashed lines.

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Figure 2-a:
Distributions in BDT score for the (left) ggF and (right) VBF primary event categories restricted to the Higgs boson mass region (120--130 GeV). The data are shown as black points, the total simulated signal samples are shown as a red line, and the simulated background samples used in BDT training and evaluation are shown as filled histograms. The subset of signal events from VBF production is also displayed independently as a green line. The sum of background MC samples are normalized to match data yields in the Higgs boson mass sideband regions. The signal event yields are scaled by a factor of 250 on the left plot, and 130 on the right plot for visibility. The optimized BDT score bin boundaries are shown as vertical dashed lines.

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Figure 2-b:
Distributions in BDT score for the (left) ggF and (right) VBF primary event categories restricted to the Higgs boson mass region (120--130 GeV). The data are shown as black points, the total simulated signal samples are shown as a red line, and the simulated background samples used in BDT training and evaluation are shown as filled histograms. The subset of signal events from VBF production is also displayed independently as a green line. The sum of background MC samples are normalized to match data yields in the Higgs boson mass sideband regions. The signal event yields are scaled by a factor of 250 on the left plot, and 130 on the right plot for visibility. The optimized BDT score bin boundaries are shown as vertical dashed lines.

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Figure 3:
Distribution of data in $ m_{\ell \ell \gamma} $ for the (upper left) ggF2, (upper right) ggF3, (lower left) VBF1, and (lower right) $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ leptonic categories with the results of the simultaneous fit to all categories ($ \text{S}+\text{B} $ model) superimposed. The $ \text{B} $ model is the background-only component of the simultaneous fit. The $ m_{\ell \ell \gamma} $ range displayed for each category corresponds to the range over which the fit was performed.

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Figure 3-a:
Distribution of data in $ m_{\ell \ell \gamma} $ for the (upper left) ggF2, (upper right) ggF3, (lower left) VBF1, and (lower right) $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ leptonic categories with the results of the simultaneous fit to all categories ($ \text{S}+\text{B} $ model) superimposed. The $ \text{B} $ model is the background-only component of the simultaneous fit. The $ m_{\ell \ell \gamma} $ range displayed for each category corresponds to the range over which the fit was performed.

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Figure 3-b:
Distribution of data in $ m_{\ell \ell \gamma} $ for the (upper left) ggF2, (upper right) ggF3, (lower left) VBF1, and (lower right) $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ leptonic categories with the results of the simultaneous fit to all categories ($ \text{S}+\text{B} $ model) superimposed. The $ \text{B} $ model is the background-only component of the simultaneous fit. The $ m_{\ell \ell \gamma} $ range displayed for each category corresponds to the range over which the fit was performed.

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Figure 3-c:
Distribution of data in $ m_{\ell \ell \gamma} $ for the (upper left) ggF2, (upper right) ggF3, (lower left) VBF1, and (lower right) $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ leptonic categories with the results of the simultaneous fit to all categories ($ \text{S}+\text{B} $ model) superimposed. The $ \text{B} $ model is the background-only component of the simultaneous fit. The $ m_{\ell \ell \gamma} $ range displayed for each category corresponds to the range over which the fit was performed.

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Figure 3-d:
Distribution of data in $ m_{\ell \ell \gamma} $ for the (upper left) ggF2, (upper right) ggF3, (lower left) VBF1, and (lower right) $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ leptonic categories with the results of the simultaneous fit to all categories ($ \text{S}+\text{B} $ model) superimposed. The $ \text{B} $ model is the background-only component of the simultaneous fit. The $ m_{\ell \ell \gamma} $ range displayed for each category corresponds to the range over which the fit was performed.

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Figure 4:
Weighted distribution of data in $ m_{\ell \ell \gamma} $ and the signal-plus-background model obtained from the simultaneous fit. The data and model comprise all 13 categories, weighted by the factor $ S/(S+B) $.

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Figure 5:
Signal strengths ($ \mu $) obtained from separate fits to the $ m_{\ell \ell \gamma} $ distribution in each category and, as the last entry in the figure, from the simultaneous fit to all categories. The reported systematic uncertainty is the difference in quadrature between the uncertainty calculated with the signal nuisance parameters frozen and that with the signal nuisance parameters left free to vary. As a result, the reported systematic uncertainty can be asymmetric, even if the nuisance parameter constraints in the likelihood are symmetric.
Tables

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Table 1:
Primary event categories defined using selections on leptons, jets, $ p_{\mathrm{T}}^\text{miss} $, and auxiliary variables. Each event is assigned to one of these nonoverlapping categories after the baseline selection is applied. In the case of the ggF and VBF categories, a further secondary categorization is subsequently applied using a boosted decision tree classifier (BDT). An event is assigned to the $ {\mathrm{t}\overline{\mathrm{t}}} \mathrm{H} $ leptonic category if it passes one of the two object criteria listed in the table.

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Table 2:
Input variables for the BDT used in the ggF and VBF event categories. More details on these variables are given in Section 5.

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Table 3:
Summary of event categories with expected event yields, effective signal widths $ \sigma_{\text{eff}} $, and estimated expected significance values $ Z_{\mathrm{cc}} $ based on simulated event yields. All yields are evaluated in the Higgs boson mass region 120--130 GeV. The expected significance values are added in quadrature to obtain combined significance values that approximate the use of a statistical model combining the various categories. Because this method does not use information about the distribution in $ m_{\ell \ell \gamma} $, the values obtained are lower than the expected significance using the fitting procedure described in Section 6.

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Table 4:
Breakdown of sources of uncertainty. The statistical uncertainty is quantified by performing the analysis with the systematic uncertainty nuisance parameters frozen. The background shape functional form component of the statistical uncertainty is quantified by comparing a fit with the background functional form frozen to one where it is allowed to float. The sources of signal systematic uncertainty are quantified using the impact on the best fit signal strength when the auxiliary measurements are changed by $ \pm $1 standard deviation.
Summary
This paper presents a search for the rare Higgs boson decay $ \mathrm{H}\to\mathrm{Z}\gamma $, where $ \mathrm{Z}\to \ell^{+}\ell^{-} $ and $ \ell = \mathrm{e} $ or $ \mu $.. The standard model (SM) branching fraction, not including $\mathcal{B}( \mathrm{Z}\to \ell^{+}\ell^{-} )$, is predicted to be $\mathcal{B}(\mathrm{H}\to\mathrm{Z}\gamma) = (1.5 \pm 0.1) \times 10^{-3}$ [10][11]. The search is performed using a sample of proton-proton (pp) collision data at the center-of-mass energies of $13$ and $13.6$ TeV, recorded by the CMS experiment at the LHC between 2016 and 2023. The sample corresponds to a total integrated luminosity of 200 fb$ ^{-1} $. Measurement of the $ \mathrm{H}\to\mathrm{Z}\gamma $ signal is complicated by large nonresonant backgrounds from other SM processes that produce the same reconstructed objects in the detector. In most production channels, the dominant background arises from $pp \to \mathrm{Z}\gamma$ events, with an additional significant contribution from $pp \to \mathrm{Z} $ events in which the photon candidate arises from misreconstruction, nonprompt decays, jet fragmentation, multiparton interactions, or separate pp interaction vertices. The analysis separately considers and optimizes sensitivity to Higgs boson production via gluon-gluon fusion (ggF), vector boson fusion (VBF), and associated-production processes. This analysis uses four ggF categories, four VBF categories, four associated-production categories, and one untagged category. The signal is then extracted from a simultaneous maximum likelihood fit to the invariant mass distributions of the $\ell\ell\gamma$ system in the various event categories, employing the discrete profiling method and an extensive series of validation tests. The simultaneous maximum likelihood fit to all 13 event categories yields an observed (expected) signal strength $\mu$, defined as the ratio of the measured product of the cross section and decay branching fraction $ \sigma(\mathrm{p}\mathrm{p}\to\mathrm{H})\mathcal{B}(\mathrm{H}\to\mathrm{Z}\gamma) $ to the corresponding SM prediction, of $ \mu = $ 1.10 $ ^{+0.52}_{-0.61} (1.00^{+0.49}_{-0.46})$ for a Higgs boson mass of $125.38$ GeV. The $p$-value associated with the compatibility of the 13 separate event categories is $0.75$, and the signal has an observed (expected) significance of 1.9 (2.3) standard deviations.
References
1 ATLAS Collaboration Observation of a new particle in the search for the standard model Higgs boson with the ATLAS detector at the LHC PLB 716 (2012) 1 1207.7214
2 CMS Collaboration Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC PLB 716 (2012) 30 CMS-HIG-12-028
1207.7235
3 CMS Collaboration Observation of a new boson with mass near 125 GeV in pp collisions at $ \sqrt{s} = $ 7 and 8 TeV JHEP 06 (2013) 081 CMS-HIG-12-036
1303.4571
4 ATLAS and CMS Collaborations Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at $ \sqrt{s}= $ 7 and 8 TeV JHEP 08 (2016) 045 1606.02266
5 ATLAS Collaboration A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery Erratum: 10./s41586-022-05581-5, Corrigendum: 10./s41586-023-06248-5, 2022
Nature 607 (2022) 52
2207.00092
6 CMS Collaboration A portrait of the Higgs boson by the CMS experiment ten years after the discovery. Corrigendum: 10./s41586-023-06164-8, 2022
Nature 607 (2022) 60
CMS-HIG-22-001
2207.00043
7 R. N. Cahn, M. S. Chanowitz, and N. Fleishon Higgs particle production by $ Z\to H\gamma $ PLB 82 (1979) 113
8 L. Bergström and G. Hulth Induced Higgs couplings to neutral bosons in $ e^+ e^- $ collisions Corrigendum: 10./0550-3213(86)90074-X, 1985
NPB 259 (1985) 137
9 M. Spira, A. Djouadi, and P. M. Zerwas QCD corrections to the $ \mathrm{H}\mathrm{Z}\gamma $ coupling PLB 276 (1992) 350
10 A. Djouadi, J. Kalinowski, and M. Spira HDECAY: A program for Higgs boson decays in the standard model and its supersymmetric extension Comput. Phys. Commun. 108 (1998) 56 hep-ph/9704448
11 LHC Higgs Cross Section Working Group Handbook of LHC Higgs cross sections: 4. Deciphering the nature of the Higgs sector CERN Report CERN-2017-002-M, 2016
link
1610.07922
12 I. Low, J. Lykken, and G. Shaughnessy Singlet scalars as Higgs imposters at the Large Hadron Collider PRD 84 (2011) 035027 1105.4587
13 I. Low, J. Lykken, and G. Shaughnessy Have we observed the Higgs (imposter)? PRD 86 (2012) 093012 1207.1093
14 C.-W. Chiang and K. Yagyu Higgs boson decays to \ensuremath\gamma\ensuremath\gamma and Z\ensuremath\gamma in models with Higgs extensions PRD 87 (2013) 033003 1207.1065
15 M. Carena, I. Low, and C. E. M. Wagner Implications of a modified Higgs to diphoton decay width JHEP 08 (2012) 060 1206.1082
16 C.-S. Chen, C.-Q. Geng, D. Huang, and L.-H. Tsai New scalar contributions to $ h\to Z\gamma $ PRD 87 (2013) 075019 1301.4694
17 A. Azatov, R. Contino, A. Di Iura, and J. Galloway New prospects for Higgs compositeness in $ h \to Z\gamma $ PRD 88 (2013) 075019 1308.2676
18 S. Dawson and P. P. Giardino Higgs decays to $ ZZ $ and $ Z\gamma $ in the standard model effective field theory: An NLO analysis PRD 97 (2018) 093003 1801.01136
19 Q.-H. Cao, L.-X. Xu, B. Yan, and S.-H. Zhu Signature of pseudo Nambu-Goldstone Higgs boson in its decay PLB 789 (2019) 233 1810.07661
20 R. Boto et al. New physics interpretations for nonstandard values of h\ensuremath\rightarrowZ\ensuremath\gamma PRD 109 (2024) 095002 2312.13050
21 S.-P. He Scalar leptoquark contributions to the gg\ensuremath\rightarrowZh process PRD 113 (2026) 015039 2508.19642
22 E. A. Reyes R., C. A. Lopez A., O. R. Torrijo G., and D. G. Melo P. Rare Higgs boson decay into a photon and a Z boson in radiatively driven natural supersymmetry PRD 112 (2025) 095012 2507.09395
23 A. Kachanovich, J. Kimus, S. Lowette, and M. H. G. Tytgat On new physics off the Z peak in H $ \rightarrow $ \ensuremath\ell$ ^{+} $\ensuremath\ell$ ^{-} $\ensuremath\gamma JHEP 06 (2025) 043 2503.08659
24 K. Mantzaropoulos Disentangling SMEFT and UV contributions in h \ensuremath\rightarrowZ\ensuremath\gamma and h\ensuremath\rightarrow\ensuremath\gamma\ensuremath\gamma decays PRD 110 (2024) 055041 2407.09145
25 S. Israr and M. Rehman Higgs decay to $ Z\gamma $ in the minimal supersymmetric standard model and its nonholomorphic extension Eur. Phys. J. Plus 140 (2025) 397 2407.01210
26 W.-L. Sang, F. Feng, and Y. Jia Next-to-leading-order electroweak correction to $ H\rightarrow Z^{0}\gamma $ PRD 110 (2024) L051302 2405.03464
27 A. I. Hern \'a ndez-Ju \'a rez, R. Gait \'a n, and R. Martinez H\ensuremath\rightarrowZ\ensuremath\gamma decay and CP violation PRD 111 (2025) 015001 2405.03094
28 Z.-Q. Chen, L.-B. Chen, C.-F. Qiao, and R. Zhu Two-loop electroweak corrections to the Higgs boson rare decay process H\ensuremath\rightarrowZ\ensuremath\gamma PRD 110 (2024) L051301 2404.11441
29 X.-G. He, Z.-L. Huang, M.-W. Li, and C.-W. Liu The SM expected branching ratio for h \ensuremath\rightarrow \ensuremath\gamma\ensuremath\gamma and an excess for h \ensuremath\rightarrow Z\ensuremath\gamma JHEP 10 (2024) 135 2402.08190
30 K. Cheung and C. J. Ouseph Interpretation of excess in H\ensuremath\rightarrowZ\ensuremath\gamma using a light axionlike particle PRD 110 (2024) 055016 2402.05678
31 ATLAS Collaboration Search for Higgs boson decays to a photon and a Z boson in pp collisions at $ \sqrt{s} = $ 7 and 8 TeV with the ATLAS detector PLB 732 (2014) 8 1402.3051
32 ATLAS Collaboration A search for the $ Z\gamma $ decay mode of the Higgs boson in pp collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector PLB 809 (2020) 135754 2005.05382
33 CMS Collaboration Search for a Higgs boson decaying into a Z and a photon in pp collisions at $ \sqrt{s} = $ 7 and 8 TeV PLB 726 (2013) 587 CMS-HIG-13-006
1307.5515
34 CMS Collaboration Search for the decay of a Higgs boson in the $ \ell\ell\gamma $ channel in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 11 (2018) 152 CMS-HIG-17-007
1806.05996
35 CMS Collaboration Search for Higgs boson decays to a Z boson and a photon in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JHEP 05 (2023) 233 CMS-HIG-19-014
2204.12945
36 ATLAS and CMS Collaborations Evidence for the Higgs boson decay to a Z boson and a photon at the LHC PRL 132 (2024) 021803 2309.03501
37 ATLAS Collaboration Search for the Higgs boson decay to a $ Z $ boson and a photon in pp collisions at $ \sqrt{s}= $ 13 TeV and 13.6 TeV with the ATLAS detector Submitted to Phys. Lett. B, 2025 2507.12598
38 A. Karlberg et al. Ad interim recommendations for the Higgs boson production cross sections at $ \sqrt{s} = $ 13.6 TeV LHCHWG Note LHCHWG-2024-001, 2024 2402.09955
39 CMS Collaboration HEPData record for this analysis link
40 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
41 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064 CMS-PRF-21-001
2309.05466
42 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
43 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
44 CMS Collaboration Performance of the CMS high-level trigger during LHC Run 2 JINST 19 (2024) P11021 CMS-TRG-19-001
2410.17038
45 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
46 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
47 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
48 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
49 CMS Collaboration Performance of reconstruction and identification of $ \tau $ leptons decaying to hadrons and $ \nu_\tau $ in pp collisions at $ \sqrt{s}= $ 13 TeV JINST 13 (2018) P10005 CMS-TAU-16-003
1809.02816
50 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
51 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
52 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
53 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
54 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
55 S. Alioli, P. Nason, C. Oleari, and E. Re A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX JHEP 06 (2010) 043 1002.2581
56 E. Re Single-top Wt-channel production matched with parton showers using the POWHEG method EPJC 71 (2011) 1547 1009.2450
57 S. Frixione, P. Nason, and G. Ridolfi A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction JHEP 09 (2007) 126 0707.3088
58 S. Alioli, S.-O. Moch, and P. Uwer Hadronic top-quark pair-production with one jet and parton showering JHEP 01 (2012) 137 1110.5251
59 T. Melia, P. Nason, R. Rontsch, and G. Zanderighi $ \mathrm{W^+}\mathrm{W^-} $, WZ, and ZZ production in the POWHEG BOX JHEP 11 (2011) 078 1107.5051
60 P. Nason and G. Zanderighi $ \mathrm{W^+}\mathrm{W^-} $, WZ, and ZZ production in the POWHEG-BOX-V2 EPJC 74 (2014) 2702 1311.1365
61 A. Kardos, P. Nason, and C. Oleari Three-jet production in POWHEG JHEP 04 (2014) 043 1402.4001
62 S. Alioli, P. Nason, C. Oleari, and E. Re NLO Higgs boson production via gluon fusion matched with shower in POWHEG JHEP 04 (2009) 002 0812.0578
63 E. Bagnaschi, G. Degrassi, P. Slavich, and A. Vicini Higgs production via gluon fusion in the POWHEG approach in the SM and in the MSSM JHEP 02 (2012) 088 1111.2854
64 P. Nason and C. Oleari NLO Higgs boson production via vector boson fusion matched with shower in POWHEG JHEP 02 (2010) 037 0911.5299
65 G. Luisoni, P. Nason, C. Oleari, and F. Tramontano $ \mathrm{H}\mathrm{W}^{\pm}/\mathrm{H}\mathrm{Z} $ + 0 and 1 jet at NLO with the POWHEG BOX interfaced to GoSam and their merging within MiNLO JHEP 10 (2013) 083 1306.2542
66 H. B. Hartanto, B. Jager, L. Reina, and D. Wackeroth Higgs boson production in association with top quarks in the POWHEG BOX PRD 91 (2015) 094003 1501.04498
67 P. F. Monni et al. MiNNLO$ _\text{PS} $: a new method to match NNLO QCD to parton showers Erratum: 10./JHEP02()031, 2020
JHEP 05 (2020) 143
1908.06987
68 P. F. Monni, E. Re, and M. Wiesemann MiNNLO$ _\text{PS} $: optimizing 2 $ \rightarrow $ 1 hadronic processes EPJC 80 (2020) 1075 2006.04133
69 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
70 J. Alwall et al. Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions EPJC 53 (2008) 473 0706.2569
71 P. Artoisenet, R. Frederix, O. Mattelaer, and R. Rietkerk Automatic spin-entangled decays of heavy resonances in Monte Carlo simulations JHEP 03 (2013) 015 1212.3460
72 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
73 M. L. Mangano, M. Moretti, and R. Pittau Multijet matrix elements and shower evolution in hadronic collisions: $ \mathrm{W}\mathrm{b}\overline{\mathrm{b}} $ + $ n $ jets as a case study NPB 632 (2002) 343 hep-ph/0108069
74 M. L. Mangano et al. ALPGEN, a generator for hard multiparton processes in hadronic collisions JHEP 07 (2003) 001 hep-ph/0206293
75 T. Sjöstrand et al. An introduction to PYTHIA 8.2 Comput. Phys. Commun. 191 (2015) 159 1410.3012
76 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
77 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
78 GEANT4 Collaboration GEANT 4---a simulation toolkit NIM A 506 (2003) 250
79 Y. Li and F. Petriello Combining QCD and electroweak corrections to dilepton production in FEWZ PRD 86 (2012) 094034 1208.5967
80 M. Czakon and A. Mitov Top++: A program for the calculation of the top-pair cross-section at hadron colliders Comput. Phys. Commun. 185 (2014) 2930 1112.5675
81 CMS Collaboration Measurement of the inclusive W and Z production cross sections in pp collisions at $ \sqrt{s}= $ 7 TeV JHEP 10 (2011) 132 CMS-EWK-10-005
1107.4789
82 CMS Collaboration Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015
CDS
83 K. Rehermann and B. Tweedie Efficient identification of boosted semileptonic top quarks at the LHC JHEP 03 (2011) 059 1007.2221
84 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\mathrm{T}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
85 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
86 M. Cacciari and G. P. Salam Pileup subtraction using jet areas PLB 659 (2008) 119 0707.1378
87 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
88 E. Bols et al. Jet flavour classification using DeepJet JINST 15 (2020) P12012 2008.10519
89 CMS Collaboration Performance summary of AK4 jet b tagging with data from proton-proton collisions at 13 TeV with the CMS detector CMS Detector Performance Note CMS-DP-2023-005, 2023
CDS
90 CMS Collaboration A first look at early 2022 proton-proton collisions at $ \sqrt{s}\ =\ $ 13.6 TeV for heavy-flavor jet tagging CMS Detector Performance Note CMS-DP-2023-012, 2023
CDS
91 CMS Collaboration Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV JINST 13 (2018) P05011 CMS-BTV-16-002
1712.07158
92 CMS Collaboration Jet energy scale and resolution measurement with Run 2 legacy data collected by CMS at 13 TeV CMS Detector Performance Note CMS-DP-2021-033, 2021
CDS
93 T. Chen and C. Guestrin XGBoost: A scalable tree boosting system in 2nd ACM SIGKDD Int. Conf. Know. Discov. Data Min., 2016
Proc. 2 (2016) 785
94 J. S. Gainer, W.-Y. Keung, I. Low, and P. Schwaller Looking for a light Higgs boson in the $ Z \gamma \to \ell \ell \gamma $ channel PRD 86 (2012) 033010 1112.1405
95 CMS Collaboration The CMS statistical analysis and combination tool: COMBINE Comput. Softw. Big Sci. 8 (2024) 19 CMS-CAT-23-001
2404.06614
96 M. Oreglia A Study of the Reactions $ \psi^\prime \to \gamma \gamma \psi $ PhD thesis, Stanford University, SLAC Report SLAC-R-236, 1980
link
97 J. E. Gaiser, Charmonium Spectroscopy From Radiative Decays of the $ J/\psi $ and $ \psi^\prime $ PhD thesis, Stanford University, SLAC Report SLAC-R-0255, 1982
link
98 CMS Collaboration A measurement of the Higgs boson mass in the diphoton decay channel PLB 805 (2020) 135425 CMS-HIG-19-004
2002.06398
99 P. D. Dauncey, M. Kenzie, N. Wardle, and G. J. Davies Handling uncertainties in background shapes: the discrete profiling method JINST 10 (2015) P04015 1408.6865
100 A. Kolmogorov Sulla determinazione empirica di una legge di distribuzione G. Ist. Ital. Attuari 4 (1933) 83
101 N. Smirnov Table for estimating the goodness of fit of empirical distributions Ann. Math. Stat. 19 (1948) 279
102 ATLAS Collaboration Measurement of Higgs boson production in the diphoton decay channel in pp collisions at center-of-mass energies of 7 and 8 TeV with the ATLAS detector PRD 90 (2014) 112015 1408.7084
103 R. A. Fisher On the mathematical foundations of theoretical statistics Phil. Trans. Roy. Soc. Lond. A 222 (1922) 309
104 F. Buccioni et al. Interference effects in gg \ensuremath\rightarrow H \ensuremath\rightarrow Z\ensuremath\gamma beyond leading order PLB 851 (2024) 138596 2312.12384
105 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
106 CMS Collaboration Precision luminosity measurement in proton-proton collisions at 13 TeV with the CMS detector CMS Physics Analysis Summary, 2025
CMS-PAS-LUM-20-001
CMS-PAS-LUM-20-001
107 CMS Collaboration Luminosity measurement in proton-proton collisions at 13.6 TeV in 2022 at CMS CMS Physics Analysis Summary, 2024
CMS-PAS-LUM-22-001
CMS-PAS-LUM-22-001
108 CMS Collaboration Measurement of the offline integrated luminosity for the CMS proton-proton collision dataset recorded in 2023 CMS Detector Performance Note CMS-DP-2024-068, 2024
CDS
Compact Muon Solenoid
LHC, CERN