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Journal of High Energy Physics. 2023 Jul 24;2023(7):176
The Author(s)
ATLAS Collaboration
A model-independent search for new physics leading to final states containing a Higgs boson, with a mass of 125.09 GeV, decaying to a pair of photons is performed with 139 fb−1 of √ s = 13 TeV pp collision data recorded by the ATLAS detector at the Large Hadron Collider at CERN. This search examines 22 final states categorized by the objects that are produced in association with the Higgs boson. These objects include isolated electrons or muons, hadronically decaying τ -leptons, additional photons, missing transverse momentum, and hadronic jets, as well as jets that are tagged as containing a b-hadron. No significant excesses above Standard Model expectations are observed and limits on the production cross section at 95% confidence level are set. Detector efficiencies are reported for all 22 signal regions, which can be used to convert detector-level cross-section limits reported in this paper to particle-level cross-section constraints.
JHEP07(2023)176Published for SISSA by SpringerReceived: January 26, 2023Accepted: June 26, 2023Published: July 24, 2023Model-independent search for the presence of newphysics in events including H → γγ with√s = 13TeV pp data recorded by the ATLASdetector at the LHCThe ATLAS collaborationE-mail: atlas.publications@cern.chAbstract: A model-independent search for new physics leading to final states containinga Higgs boson, with a mass of 125.09GeV, decaying to a pair of photons is performed with139 fb−1 of√s = 13TeV pp collision data recorded by the ATLAS detector at the LargeHadron Collider at CERN. This search examines 22 final states categorized by the objectsthat are produced in association with the Higgs boson. These objects include isolatedelectrons or muons, hadronically decaying τ -leptons, additional photons, missing transversemomentum, and hadronic jets, as well as jets that are tagged as containing a b-hadron.No significant excesses above Standard Model expectations are observed and limits on theproduction cross section at 95% confidence level are set. Detector efficiencies are reportedfor all 22 signal regions, which can be used to convert detector-level cross-section limitsreported in this paper to particle-level cross-section constraints.Keywords: Hadron-Hadron Scattering, Higgs PhysicsArXiv ePrint: 2301.10486Open Access, Copyright CERN,for the benefit of the ATLAS Collaboration.Article funded by SCOAP3.https://doi.org/10.1007/JHEP07(2023)176JHEP07(2023)176Contents1 Introduction 12 ATLAS detector 33 Data and Monte Carlo samples 43.1 Data sample 43.2 Monte Carlo samples 44 Object and event selection 84.1 Object definitions 84.2 Event preselection 95 Signal regions 96 Signal and background modelling 126.1 Modelling of BSM and SM Higgs boson production 126.2 Continuum background modelling 136.3 Modelling of the background in the multilepton signal region 137 Systematic uncertainties 147.1 Systematic uncertainties in modelling mγγ for SM and BSM Higgs bosonproduction 147.2 Uncertainty in the continuum background modelling 157.3 Uncertainties in resonant background yields 158 Results 158.1 Upper limits on BSM production cross sections 198.2 Interpretation with particle-level simulation 219 Conclusions 24The ATLAS collaboration 321 IntroductionThe discovery of the Higgs boson by the ATLAS and CMS experiments at the CERN LargeHadron Collider (LHC) [1, 2] opened up new avenues to search for physics beyond theStandard Model (BSM physics). The properties of the Higgs boson, including its inclusiveproduction cross sections and decay rates, as well as its differential cross sections, may bealtered by the presence of new interactions and new particles beyond the SM. In addition,– 1 –JHEP07(2023)176the Higgs boson may also be produced in BSM processes as a decay product of unknownnew particles, which could give rise to deviations of Higgs boson production rates fromSM predictions in exclusive final states. For example, the Higgs boson can be producedin the decays of supersymmetric particles predicted by weak-scale supersymmetry (SUSY)models [3–8], in exotic decays of top quarks in models such as those having flavour-changingneutral currents (FCNCs) [9–13], or in the decay of the partner of the top quark or bottomquark as predicted by models of vector-like quarks [14, 15]. So far, observations of Higgsboson production and decay properties at the LHC are consistent with SM predictions [16,17], and direct searches targeting the aforementioned BSMmodels also reported no significantdeviations from the SM expectation. Most of these analyses are designed with certain modelassumptions, either targeting a specific SM Higgs boson production mode or optimized fora given BSM process involving the production of the Higgs boson.This paper reports the results of a model-independent search for excesses in theproduction rate of the Higgs boson with a mass of 125.09 GeV in many distinct signalregions with the ATLAS detector at the LHC. The regions are defined by the presenceand kinematic properties of objects produced in association with the Higgs boson. Whilea large fraction of such signals may populate signal regions probed by SM Higgs bosonmeasurements, such as measurements of “simplified template cross sections” [18, 19] andfiducial and differential cross-section measurements [20], unknown BSM production of theHiggs boson could result in events that do not enter signal regions optimized for existingSM measurements. The signal regions in this search are chosen to cover a wide range ofsignatures defined by particles accompanying the production of the Higgs boson, and they aredefined with simple and mostly inclusive selections in order to minimize model dependence.In this search the Higgs boson is reconstructed via its diphoton decay channel, whichhas a predicted branching ratio of (0.227±0.007)% [18] in the SM. While the rate of H → γγdecay is much lower than that of several other Higgs boson decay channels, the sensitivityof an analysis targeting this channel can be competitive with that of analyses targetinghigher-rate channels. This is primarily because the diphoton background to the Higgs bosonsignal is relatively small and because of better experimental resolution for the reconstructedresonance mass, especially in comparison with hadronic decay modes of the Higgs boson.Another advantage of performing this model-independent search in the H → γγ channel isthat the same background modelling strategy can be applied to most signal regions; thesignal and background can be determined by fitting analytic functions to the diphotoninvariant mass (mγγ) distribution in data. This fit-based background estimation methodbreaks down only when the signal region does not have a sufficient number of events toconstrain the analytic background function.If data in the signal regions are found to be consistent with the SM expectations,including contributions from resonant Higgs boson production, limits are set on the BSMproduction cross section of the Higgs boson in detector-level signal regions. To enable theuse of these detector-level cross-section limits in constraining BSM physics models, thedetector efficiencies for different signal regions are evaluated. These efficiencies dependon the kinematics of the final-state particles and therefore vary between different BSMmodels. As a result, this paper reports a range of efficiency values for each signal region,evaluated from Monte Carlo simulation of several benchmark BSM models. Correlations inthe observed limits between signal regions with a large number of events are also reported.– 2 –JHEP07(2023)176This paper is organized as follows. Section 2 gives a brief description of the ATLASdetector. Section 3 presents the simulated SM samples used to describe the backgrounds,and also the new-physics models used to determine the expected sensitivity of the searchin each signal region. Section 4 describes the reconstructed data objects and subsequentselections used in the analysis. Section 5 discusses in detail the signal regions defined for thesearch. Section 6 describes the modelling of signal and background in each search region.Section 7 addresses systematic uncertainties related to the search. Section 8 presents theresults of this search. Finally, section 9 summarizes the conclusions of the paper.2 ATLAS detectorThe ATLAS detector [21] at the LHC covers nearly the entire solid angle around the collisionpoint.1 It consists of an inner tracking detector surrounded by a thin superconductingsolenoid, electromagnetic and hadronic calorimeters, and a muon spectrometer incorporatingthree large superconducting toroidal magnet systems. The inner-detector system is immersedin a 2T axial magnetic field and provides charged-particle tracking in the range |η| < 2.5.The fine-granularity silicon pixel detector covers the vertex region and typically providesfour measurements per track, the first hit normally being in the insertable B-layer installedbefore Run 2 [22, 23]. The pixel detector is followed by the silicon microstrip tracker, whichusually provides eight measurements per track. These silicon detectors are complemented bythe transition radiation tracker (TRT), which enables radially extended track reconstructionup to |η| = 2.0. The TRT also provides electron identification information based onthe fraction of hits (typically 30 hits in total) above a higher energy-deposit thresholdcorresponding to transition radiation.The calorimeter system covers the pseudorapidity range |η| < 4.9. Within the region|η| < 3.2, electromagnetic (EM) calorimetry is provided by barrel and endcap lead/liquid-argon (LAr) calorimeters, with an additional thin LAr presampler covering |η| < 1.8 tocorrect for energy loss in material upstream of the calorimeters. Hadronic calorimetryis provided by a steel/scintillator-tile calorimeter, segmented into three barrel structureswithin |η| < 1.7, and two copper/LAr hadronic endcap calorimeters. The solid anglecoverage is completed with forward copper/LAr and tungsten/LAr calorimeter modulesoptimized for electromagnetic and hadronic measurements, respectively.The muon spectrometer comprises separate trigger and high-precision tracking chambersmeasuring the deflection of muons in a magnetic field generated by the superconductingair-core toroids. The field integral of the toroids ranges between 2.0 and 6.0Tm across mostof the detector. A set of precision chambers covers the region |η| < 2.7 with three layersof monitored drift tubes, complemented by cathode-strip chambers in the forward region,1ATLAS uses a right-handed coordinate system with its origin at the nominal interaction point (IP) inthe centre of the detector and the z-axis along the beam pipe. The x-axis points from the IP to the centreof the LHC ring, and the y-axis points upwards. Cylindrical coordinates (r, φ) are used in the transverseplane, φ being the azimuthal angle around the z-axis. The pseudorapidity is defined in terms of the polarangle θ as η = − ln tan(θ/2). Angular distance is measured in units of ∆R ≡√(∆η)2 + (∆φ)2.– 3 –JHEP07(2023)176where the background is highest. The muon trigger system covers the range |η| < 2.4 withresistive-plate chambers in the barrel, and thin-gap chambers in the endcap regions.Interesting events are selected to be recorded by the first-level trigger systemimplemented in custom hardware, followed by selections made by algorithms implementedin software in the high-level trigger [24]. The first-level trigger accepts events from the40MHz bunch crossings at a rate below 100 kHz, which the high-level trigger reduces inorder to record events to disk at about 1 kHz. An extensive software suite [25] is used indata simulation, in the reconstruction and analysis of real and simulated data, in detectoroperations, and in the trigger and data acquisition systems of the experiment.3 Data and Monte Carlo samples3.1 Data sampleThis study uses the full Run-2 data set of√s = 13 TeV proton-proton collisions recordedby the ATLAS detector during 2015–2018. After data quality requirements [26] are appliedto ensure the good working condition of all detector components, the data set amounts toan integrated luminosity of 139.0± 2.4 fb−1 [27, 28]. The mean number of interactions perbunch crossing was 〈µ〉 = 33.7 on average during Run 2.The data sample was selected using a combination of diphoton and single-photontriggers. The transverse energy thresholds of the diphoton trigger were 35 GeV and 25 GeVfor the leading and subleading photon candidates, respectively [29]. The diphoton triggerapplies photon identification selections based on calorimeter shower shape variables. In2015–2016, a loose photon identification requirement was used, and in 2017–2018, thisrequirement was tightened to cope with higher instantaneous luminosity. The single-photontrigger had a transverse energy threshold of 120 GeV for the leading photon in data collectedbetween 2015 and 2017, and the threshold was increased to 140 GeV for data collected in2018. The photon candidate used in the trigger decision is required to satisfy the loosephoton identification criteria. The use of the single-photon trigger is found to improve thetrigger efficiency for high-pT Higgs boson candidates. Typically, the trigger efficiency isgreater than 98% for events that pass the diphoton event selection described below.3.2 Monte Carlo samplesMonte Carlo (MC) simulation samples are used to determine the SM Higgs boson eventyield, test the continuum background modelling, and estimate detector efficiencies forvarious signal regions. These simulated samples include three categories of processes: SMHiggs boson production, SM diphoton continuum production, and BSM production of theHiggs boson with a mass of 125.09GeV.MC samples generated for SM Higgs boson production are summarized in table 1. Thegluon-gluon fusion (ggF), vector-boson fusion (VBF), and V H production modes weregenerated using Powheg NNLOPS or PowhegBox [30–38], with the PDF4LHC15 PDFset [39], and interfaced to Pythia 8 [40, 41] for simulation of parton showering, hadronizationand the underlying event, using a set of data-tuned parameters called the AZNLO tune [42].– 4 –JHEP07(2023)176Process Generator PDF PDF, Tune Cross section [pb](ME+PS) (ME) (PS, UE) (√s = 13 TeV)ggF Powheg NNLOPS + Pythia 8 PDF4LHC15 CTEQ6, AZNLO 48.5VBF PowhegBox + Pythia 8 PDF4LHC15 CTEQ6, AZNLO 3.78WH PowhegBox + Pythia 8 PDF4LHC15 CTEQ6, AZNLO 1.37qq¯ → ZH PowhegBox + Pythia 8 PDF4LHC15 CTEQ6, AZNLO 0.76gg → ZH PowhegBox + Pythia 8 PDF4LHC15 CTEQ6, AZNLO 0.12tt¯H PowhegBox + Pythia 8 PDF4LHC15 NNPDF2.3, A14 0.51bb¯H PowhegBox + Pythia 8 PDF4LHC15 NNPDF2.3, A14 0.49tHbj aMC@NLO + Pythia 8 NNPDF3.0 NNPDF2.3, A14 0.074tWH aMC@NLO + Pythia 8 NNPDF3.0 NNPDF2.3, A14 0.015Table 1. Configuration of MC simulation of SM Higgs boson production and the predicted crosssections at√s = 13 TeV. The generator set-up includes the software programs used for the matrixelement (ME) calculation and parton showering (PS). The parton distribution function (PDF) isgiven separately for the ME calculation and the parton showering, along with the set of tunedparameters (Tune) used in modelling the underlying event (UE).The ggF simulation achieves NNLO accuracy for arbitrary inclusive gg → H observablesby reweighting the Higgs boson rapidity spectrum in Hj-MiNLO [36, 43, 44] to that ofHNNLO [45]. The transverse momentum spectrum of the Higgs boson obtained with thissample is found to be compatible with the fixed-order HNNLO calculation and the Hres 2.3calculation [46, 47] performing resummation at next-to-next-to-leading-logarithm accuracymatched to a NNLO fixed-order calculation (NNLL+NNLO). The VBF production modewas simulated at next-to-leading-order (NLO) accuracy in QCD. The simulation of WHand qq¯ → ZH production is accurate to NLO in QCD with up to one extra jet in the event,while the simulation of the gg → ZH process was performed at leading order in QCD. Thett¯H and bb¯H processes were modelled using the PowhegBox v2 [31–33, 38, 48] generator,which provides matrix elements at NLO in the strong coupling constant αs in the five-flavourscheme with the NNPDF2.3lo [49] PDF set. For the tt¯H sample, the functional formof the renormalization and factorization scale was set to 3√mT(t) ·mT(t¯) ·mT(H)2 [18].The generator was interfaced to Pythia 8.230 [41], which used the A14 tune [50] and theNNPDF2.3lo [49] PDF set. The decays of bottom and charm hadrons were simulatedusing the EvtGen 1.6.0 program [51]. All the SM Higgs boson samples are normalized tocross-section values recommended by ref. [18], which are shown in table 1.To study the modelling of continuum background, diphoton production event sampleswere simulated. Besides inclusive diphoton production, specific diphoton processes were alsogenerated for signal regions where electroweak or top-associated production is enhanced.Inclusive diphoton production and diphoton production in association with a vector boson(V γγ) were simulated with the Sherpa 2.2.4 [52] generator. Matrix elements (MEs) forup to three additional partons were calculated at LO accuracy. For the inclusive diphoton2mT denotes the transverse mass of a particle, defined as mT =√m2 + p2T where m and pT are its massand transverse momentum, respectively.– 5 –JHEP07(2023)176sample, NLO accuracy is reached for MEs including up to one additional parton. TheComix [53] and OpenLoops [54–56] libraries were used in these calculations, which werematched with the Sherpa parton shower [57] using the MEPS@NLO prescription [58–61]with a dynamic merging cut [62] of 10 GeV. A smooth-cone isolation requirement [63]was applied in the event generation. Samples were generated using the NNPDF3.0nnloPDF set [49], along with the dedicated set of tuned parton-shower parameters developedby the Sherpa authors. Diphoton production in association with a top-quark pair(tt¯γγ) was modelled by the MadGraph5_aMC@NLO 2.3.3 generator at LO with theNNPDF2.3lo [64] PDF set, and the events were interfaced with Pythia 8.212 forparton-shower and underlying-event simulation.Several BSM processes were simulated to demonstrate the coverage of the signal regionsand estimate the model dependence of the efficiency of the fiducial selections. These samplesare summarized in table 2 and are described as follows.1. BSM Higgs boson production characterized by the presence of additional charged orneutral leptons:• χ˜±1 χ˜02 → W/Z/H: the production of a neutralino-chargino pair that decays tofinal states involving W , Z and Higgs bosons.• χ˜±1 χ˜∓1 → H`±H`∓: the production of a chargino pair that decays to final statesinvolving Higgs bosons and leptons through an R-parity-violating interaction.2. BSM Higgs boson production characterized by the presence of additional heavy-flavourjets are represented by• t˜t˜, b˜b˜: stop-pair production and sbottom-pair production processes. In thesubsequent decays of the stop or sbottom particles, the Higgs boson could beproduced in the decays of next-to-lightest supersymmetric particles.3. BSM Higgs boson production characterized by the presence of an additional top quarkis represented by• tt¯, (t→ u/c+H) + c.c.: pair-produced top quarks that decay into final statesinvolving Higgs bosons, through a FCNC interaction.4. BSM Higgs boson production characterized by the presence of an additional photonis represented by• pp → χ → Hγ: a massive neutral boson (χ) decaying into a photon and aHiggs boson, a process predicted by extensions of the Higgs sector or gaugesectors [65–67].These BSM processes are studied in various dedicated ATLAS searches that may useHiggs boson decay channels other than H → γγ. The specific process, model parameters,expected cross section, and a reference to the dedicated search, are summarized in table 2.These BSM MC samples were generated with the same set-up as used in the dedicatedsearches, except that the Higgs boson is configured to decay into a pair of photons.– 6 –JHEP07(2023)176Process with H→ γγ Signal mass Cross section [pb] Ref.χ˜±1 χ˜02→W/Z/H m(χ˜±1 /χ˜02),m(χ˜01) = 150,0.5 GeV 5.18 [69]χ˜±1 χ˜02→W/Z/H m(χ˜±1 /χ˜02),m(χ˜01) = 300,0.5 GeV 0.39 [69]χ˜±1 χ˜∓1 →H`±H`∓ m(χ˜±1 ) = 150 GeV 2.61 [70]χ˜±1 χ˜∓1 →H`±H`∓ m(χ˜±1 ) = 300 GeV 0.19 [70]χ˜±1 χ˜01, χ˜±1 →H`±, χ˜01→W`/Zν/Hν m(χ˜±1 /χ˜01) = 200 GeV 1.81 [70]χ˜±1 χ˜01, χ˜±1 →H`±, χ˜01→W`/Zν/Hν m(χ˜±1 /χ˜01) = 400 GeV 0.12 [70]t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν m(t˜2),m(t˜1),m(χ˜02) = 500,340,300 GeV 0.61 [71]b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H m(b˜),m(χ˜02),m(χ˜01) = 500,180,50 GeV 0.61 [72]b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H m(b˜),m(χ˜02),m(χ˜01) = 1000,205,60 GeV 0.0068 [72]b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H m(b˜),m(χ˜02),m(χ˜01) = 1200,205,60 GeV 0.0017 [72]pp→χ→Hγ m(χ) = 200 GeV — [73]pp→χ→Hγ m(χ) = 500 GeV — [73]tt¯,(t→u/c+H) + c.c. — 0.00123 [74]Table 2. Summary of processes, model parameters, and cross sections for the BSM samples used inthis paper. A reference to their dedicated ATLAS search is also included. The cross sections quotedinclude the SM branching ratio for H → γγ. The pp → χ → Hγ process is expected in multipleBSM models, so no particular model is used for the cross-section calculation.The SUSY events were generated with up to two additional partons in the matrixelement using MadGraph5_aMC@NLO 2.6.2 at LO in QCD with the NNPDF3.0loPDF set and CKKW-L merging scheme. Parton showering and hadronization were handledby Pythia 8.230 with the A14 tune, using the NNPDF2.3lo PDF set.MC samples were generated for the BSM process where a massive neutral resonanceis produced and decays into a Higgs boson and a photon (pp → χ → Hγ). This processcould result in a final state with at least three photons. The event generation used thesame set-up as for the SUSY samples, except that Pythia 8.235 was used to model theparton shower and underlying event.A tt¯ sample with FCNC-induced top-quark decays is also considered. In this process,one top quark decays into a Higgs boson and an up-type quark through a FCNC interaction,while the other top quark decays into a b-quark and a W boson. These FCNC samples weresimulated using MadGraph5_aMC@NLO 2.4.3 [68] interfaced to Pythia 8.212 [40] withthe A14 tune for the modelling of parton showers, hadronization and the underlying event.The FCNC samples were generated separately for the up-quark and charm-quark final states.The effect of multiple interactions in the same and neighbouring bunch crossings(pile-up) was modelled by overlaying each simulated hard-scattering event with inelasticproton-proton (pp) events generated by Pythia 8.186 using the NNPDF2.3lo set of PDFsand the A3 tune [75]. The generated Higgs boson events from table 1 were passed through aGeant4 [76] simulation of the ATLAS detector [77]. The remaining QCD diphoton eventsand BSM samples are passed through a fast simulation of the ATLAS detector to reducethe amount of CPU time needed to process the large numbers of generated events. Allsimulated events are reconstructed with the same software as used for the data [25].– 7 –JHEP07(2023)1764 Object and event selection4.1 Object definitionsEvents in this analysis are selected using the following procedure. First, reconstructedphoton candidates are required to satisfy a set of preselection criteria. The two highest-pTpreselected photons along with the reconstructed vertex information in the event, are usedas inputs to a neural-network algorithm trained on simulated events to determine the correctprimary vertex, which is named the “diphoton vertex” [78]. The selected primary vertex isused to compute the properties of objects in the event. Finally, to be selected the photonsare required to satisfy isolation and additional identification criteria. In addition to photons,jets (including b-jets), muons, electrons, and the amount of missing transverse momentum,EmissT , are used in the analysis to define model-independent signal regions. The specificrequirements for objects used in this analysis are as follows.Photons must satisfy pT > 22 GeV and |η| < 2.37, excluding the transition region1.37 < |η| < 1.52 between the barrel and endcap EM calorimeters. Photon candidates areseparated from jet backgrounds using a tight identification criterion based on calorimetershower shape variables [79]. The identification efficiency for reconstructed photons rangesfrom 84% at pT = 25 GeV to 94% at pT > 100 GeV. The final selection of photonsincludes both calorimeter- and track-based isolation requirements to further suppress jetsmisidentified as photons. The calorimeter isolation variable is defined as the energy in the EMcalorimeter within a cone of size ∆R = 0.2 around the photon candidate, excluding the energyin a fixed-size window that contains the photon shower; a correction is made for photon energyleakage from this window [79]. Contributions from pile-up and the underlying event aresubtracted [79–83]. The calorimeter-based isolation must be less than 6.5% of each photoncandidate’s transverse energy. The track-based isolation variable is defined as the scalar sumof the transverse momenta of tracks within a ∆R = 0.2 cone around the photon candidate.The tracks used in the isolation variable are restricted to those with pT > 1 GeV that areassociated with the selected diphoton vertex and not with a photon conversion vertex [79].The track isolation must be less than 5% of each photon candidate’s transverse energy.Electron candidates must have pT > 10 GeV and |η| < 2.47, excluding the EMcalorimeter transition region of 1.37 < |η| < 1.52, and must satisfy a medium selection basedon a likelihood discriminant using calorimeter shower shapes and track parameters [79].Isolation criteria based on calorimeter- and track-based information are applied to electrons.The reconstructed track matched to the electron candidate must be consistent with thediphoton vertex by requiring its longitudinal impact parameter z0 relative to the vertex tosatisfy |z0 sin θ| < 0.5 mm. In addition, the electron’s transverse impact parameter d0 withrespect to the beam-spot must satisfy |d0|/σd0 < 5, where σd0 is the uncertainty in d0.Muon candidates are required to have pT > 10 GeV and |η| < 2.7, and must satisfy themedium identification requirements [84]. Muons are required to satisfy calorimeter- and track-based isolation requirements that are 95%–97% efficient for muons with pT ∈ [10, 60] GeVand 99% efficient for pT > 60 GeV. Muon tracks must satisfy |z0 sin θ| < 0.5 mm and|d0|/σd0 < 3.– 8 –JHEP07(2023)176Jets are reconstructed using a particle-flow algorithm [85]. It improves the energyresolution by applying the anti-kt algorithm [86, 87] with radius parameter R = 0.4 tonoise-suppressed positive-energy topological clusters [88] in the calorimeter after removingenergy deposits associated with primary-vertex-matched tracks, and including the trackmomenta in the clustering instead. Jets must have pT > 25 GeV and |y| < 4.4. To suppressjets from pile-up, a jet-vertex-tagger (JVT) multivariate discriminant [89] is applied tojets with pT < 60 GeV and |η| < 2.4; in the range |η| > 2.5, a ‘forward’ version of theJVT [90] is applied to jets with pT < 120 GeV.3 Jets with |η| < 2.5 containing b-hadronsare identified using the DL1r b-tagging algorithm and its 60%, 70%, 77% and 85% efficiencyworking points, with the outputs combined into a pseudo-continuous b-tagging score [91].Hadronically decaying τ -leptons are used in this search. They are required to havepT > 20 GeV and |η| < 2.7. Furthermore, they must have either one or three charged tracks(“prongs”) with a charge sum of ± 1 in units of the elementary charge, and must satisfythe medium working point [92].An overlap removal procedure is performed in order to avoid double-counting of objects.First, electrons overlapping with any of the two selected photons (∆R < 0.4) are removed.Jets overlapping with the selected photons (∆R < 0.4) and electrons (∆R < 0.2) areremoved. Electrons overlapping with the remaining jets (∆R < 0.4) are removed to matchthe requirements imposed when measuring isolated-electron efficiencies. Finally, muonsoverlapping with photons or jets (∆R < 0.4) are removed.The missing transverse momentum is defined as the negative vector sum of the transversemomenta of the selected photons, electrons, muons, and jets, as well as the transversemomenta of remaining low-pT particles, estimated using tracks associated with the diphotonvertex but not with any selected object [93].4.2 Event preselectionThe two highest-pT preselected photon candidates are required to satisfy the tightidentification criteria and the isolation selection described above. Finally, the leadingand subleading photon candidates are required to satisfy pγ1T > 35 GeV, pγ1T /mγγ > 0.35,and pγ2T > 25 GeV, pγ2T /mγγ > 0.25, respectively. Events that fail the tight identificationor the isolation selection but pass the loose identification are used as a control sample forbackground estimation and modelling purposes.The trigger, object, and event selection described above are used to define the eventsthat are selected for further analysis. In total, about 1.2 million events are selected in thisdata set with a diphoton invariant mass between 105 and 160 GeV.5 Signal regionsPreselected events are assigned to signal regions defined by the presence of additionalreconstructed objects. These signal regions are designed with simple, inclusive selections,and the specific selections were not optimized for any particular BSM processes. Since3η is used to select jets when applying the JVT and the b-tagging requirements, as the way these selectionsare defined is based on the jet position in the detector.– 9 –JHEP07(2023)176the selection criteria are not designed to be orthogonal, selected events can be assigned tomultiple signal regions. The overlap and correlations of these signal regions are discussed insection 8. Based on the requirement of there being additional objects in the event, the signalregions can be broadly classified to six groups: events with heavy-flavour jets; events withhigh jet multiplicity or a large scalar sum of jet transverse momenta (HT); events with largeEmissT ; events with leptons; events with additional photons; and events with top quarks. As isdiscussed in section 8, each signal region, defined through selection criteria for detector-levelobjects, has a counterpart defined through equivalent criteria at the particle level, whichenables the interpretation of the search results with particle-level simulation samples. Thesesignal regions and their definitions are summarized in table 3 and described as follows.Two “heavy-flavour” signal regions are defined. One requires the presence of at leastthree b-jets tagged at the 85% efficiency working point (WP), and the other requires thepresence of at least four b-jets tagged at the same working point.Six high-jet-activity signal regions are defined. Three of them are defined with inclusivejet-multiplicity requirements, using central jets with |η| < 2.5. The thresholds for thenumber of jets are four, six, and eight for these regions. Another three regions are definedby the HT. The inclusive HT thresholds for these three regions are 500 GeV, 1000 GeV,and 1500 GeV.Three high-EmissT signal regions are defined using EmissT thresholds of 100 GeV, 200 GeV,and 300 GeV.Six leptonic signal regions are defined. The inclusive leptonic signal region (≥1`)requires the presence of at least one electron or muon in the event. Three dilepton signalregions are defined with electrons and muons: the inclusive dilepton signal region (2`)requires the presence of exactly two leptons; the dilepton Z-veto (2`–Z) region is a subsetof the 2` region, and it explicitly rejects events where the two leptons have the same flavourand their invariant mass is within 10 GeV of the PDG value of the Z boson mass; thesame-sign dilepton (SS-2`) region is also a subset of the 2` region and requires the electriccharges of the two leptons to be the same; the multilepton signal region (≥3`) requires thepresence of at least three leptons. The τ -lepton signal region requires the presence of atleast two τ -lepton candidates.Two triphoton signal regions are defined. Both require the presence of at least oneadditional photon in the preselected diphoton events. In the first photon signal region, thediphoton system that is considered as the Higgs boson candidate is built from the two leadingphotons in pT. The second photon region assumes the subleading and third-leading photonscome from the Higgs boson decay. While the two photon signal regions mostly have the samedefinitions of the event selection criteria, the mγγ observable is constructed differently. The1γ–m12γγ region targets exotic processes where the Higgs boson is accompanied by a photonwith moderate pT, while the 1γ–m23γγ region targets exotic processes in which a new statethat is much more massive than the Higgs boson decays into a photon and a Higgs boson.Three “top” signal regions are introduced. One inclusive top signal region (`b) requiresthe presence of at least one electron or one muon and at least one b-jet tagged at the 70%efficiency working point. One exclusive semileptonic top-quark signal region (tlep) requiresthe presence of exactly one lepton, and one b-jet tagged at the 70% efficiency working– 10 –JHEP07(2023)176Target Region Detector level Particle levelHeavy flavour≥3b nb-jet≥ 3, 85% WP nb-jet≥ 3≥4b nb-jet≥ 4, 85% WP nb-jet ≥ 4High jetactivity≥4j njet ≥ 4, |ηjet| < 2.5 njet ≥ 4, |ηjet| < 2.5≥6j njet ≥ 6, |ηjet| < 2.5 njet ≥ 6, |ηjet| < 2.5≥8j njet ≥ 8, |ηjet| < 2.5 njet ≥ 8, |ηjet| < 2.5HT> 500 GeV HT> 500 GeV HT> 500 GeVHT> 1000 GeV HT> 1000 GeV HT> 1000 GeVHT> 1500 GeV HT> 1500 GeV HT> 1500 GeVEmissTEmissT >100 GeV EmissT > 100 GeV Emiss,truT > 100 GeVEmissT >200 GeV EmissT > 200 GeV Emiss,truT > 200 GeVEmissT >300 GeV EmissT > 300 GeV Emiss,truT > 300 GeVTop`b n`=e,µ≥ 1, nb-jet≥ 1, 70% WP n`=e,µ≥ 1, nb-jet≥ 1tlepn`=e,µ = 1, njet = nb-jet = 1,70% WP n`=e,µ = 1, njet =nb-jet = 1thadn`=e,µ = 0, njet = 3, nb-jet = 1,70% WP, BDTtop> 0.9n`=e,µ = 0, njet = 3, nb-jet = 1Lepton≥1` n`=e,µ≥ 1 n`=e,µ≥ 12` ee,µµ, or eµ ee,µµ, or eµ2`–Zee,µµ,eµ; |m``−mZ |> 10 GeV forsame-flavour leptonsee,µµ,eµ; |m``−mZ |> 10 GeV forsame-flavour leptonsSS-2` ee, µµ, or eµ with same charge ee, µµ, or eµ with same charge≥3` n`=e,µ≥ 3 n`=e,µ≥ 3≥2τ nτ,had≥ 2 nτ ≥ 2Photon1γ–m12γγ nγ ≥ 3, mγγ defined with γ1,γ2 nγ ≥ 3, mγγ defined with γ1,γ21γ–m23γγ nγ ≥ 3, mγγ defined with γ2,γ3 nγ ≥ 3, mγγ defined with γ2,γ3Table 3. Signal region definitions at the detector level and particle level. Particle-level objectdefinitions are detailed in section 8.2. The HT variable is defined as the scalar sum of the transversemomenta of jets that have |η| < 2.5. WP stands for efficiency working point. At the detector level,the τ -lepton identification is optimized for hadronically decaying τ -leptons. The symbols γ1, γ2,and γ3 denote the leading, subleading, and third-leading photons ordered in pT, respectively. TheBDTtop variable is a boosted decision tree (BDT) score used to identify triplets of jets consistentwith the hadronic-decay final states of top quarks, which was used in ref. [19].point. One exclusive hadronic top-quark signal region (thad) requires the presence of exactlythree jets, one of which must be a b-jet tagged at the 70% efficiency working point. Thehadronic top-quark signal region also vetoes events with at least one electron or one muon.To further suppress diphoton-plus-multijet background, a boosted decision tree (BDT) isused in top-quark reconstruction [94] performed with the three jets in the event, and theresulting BDT score is required to be greater than 0.9.– 11 –JHEP07(2023)1766 Signal and background modellingThis search uses the invariant mass of the diphoton system (mγγ) as the discriminatingvariable. The potential BSM signal is a narrow resonance in mγγ , and the backgroundconsists of a resonant component and a continuum component. The resonant componentarises from the SM Higgs boson production processes, which include gluon-gluon fusion(ggF) and vector-boson fusion (VBF), and V H, tt¯H, tH, and bb¯H production.The continuum component arises from the production of two initial- or final-statephotons, or from the misidentification of jets as either one or both of the photons selected atthe detector level. In signal regions where lepton and/or b-jet requirements are applied, thesethree types of continuum background processes also involve the production of electroweakbosons or top quarks.The mγγ distribution in each signal region is described by a probability density function(pdf) where the signal and background components are modelled by analytic functionsof mγγ and are normalized to their expected yields. As in previous ATLAS H → γγmeasurements [19, 95], the analytic functions are defined in the range of 105 GeV < mγγ <160 GeV. In the statistical interpretation of the search results, the mγγ pdfs correspondingto the signal-plus-background and background-only hypotheses are used to fit the observedmγγ distributions.The event yield in the multilepton signal region is not sufficient for performing a fit tothe mγγ distribution. In this case, an event-count analysis is performed, as is described insection 6.3.6.1 Modelling of BSM and SM Higgs boson productionThe modelling of the mγγ distribution and its associated systematic uncertainties isdone in a consistent way for the BSM and SM Higgs boson production processes. Theirmγγ distributions are both described by the same double-sided Crystal Ball (DSCB)function [96, 97], consisting of a Gaussian distribution in the region around the peakposition, continued by power-law tails at lower and higher mγγ values. The potentialbias in the estimated signal yield due to an intrinsic shape difference between the DSCBfunction and signal mγγ distribution is found to be much smaller than the MC statisticaluncertainty of the signal yield and therefore is negligible [98]. The parameters of theDSCB function in each signal region are obtained by a fit to a mixture of the ggF, VBF,V H, tt¯H, tH, and bb¯H samples described in section 3, which are normalized accordingto their SM cross sections. A shift of 0.09GeV is applied to the position of the signalpeak to account for the difference between the reference Higgs boson mass used in thisanalysis (mH = 125.09GeV) [99] and the mass for which the samples were generated(mH = 125GeV). The uncertainty in the mγγ modelling is discussed in section 7.1. Thereis a modest variation in the DSCB shape parameters between various SM and BSM Higgsboson production samples. However, the impact of this variation on the fitted numberof signal events is much smaller than the statistical uncertainty of the fitted signal yield.SM Higgs boson production is the resonant background to signals arising from BSMproduction. The cross sections of the resonant backgrounds are assumed to be the same as– 12 –JHEP07(2023)176the theoretical predictions, and their contributions to various signal regions are evaluatedusing the MC samples described in section 3. The recent Higgs boson measurements fromthe ATLAS and CMS experiments have shown that the data are consistent with the theorypredictions within statistical and systematic uncertainties, which justifies the fixing ofexpected resonant background yields to their SM predictions. Potential interference effectsbetween the SM and BSM Higgs boson production processes are not considered in the MCsimulation. If the interference effect results in a significant deviation in the production ratefrom the SM prediction, this search would detect it as a signal.6.2 Continuum background modellingThe mγγ distribution of the continuum background is fully determined from a fit to data.The only systematic uncertainty associated with this method arises from the intrinsicdifference between the true continuum background mγγ shape and the shape of the chosenanalytic pdf.The modelling of the continuum background follows the same process used in ref. [98],which involves two main steps: first, a background mγγ template is constructed from eitherthe MC diphoton continuum background or a data control sample where at least one ofthe two leading photons fails the photon identification or isolation requirement. Betweenthese two samples, the one with a higher number of events is selected to construct the mγγtemplate. Second, a background function is selected from a number of candidate functions,using a procedure known as the spurious-signal test [98], with the goal of identifying ananalytic function that is flexible enough to fit the mγγ distribution in data and which resultsin a small potential bias compared to the background statistical uncertainty.Several families of analytic functions are tested as candidates to model the mγγdistribution for each signal region. They include power-law functions, Bernstein polynomials,and exponential functions of a polynomial. These functional forms can include up to fivefree parameters. The selected functional forms are mostly power-law and exponentialfunctions with one free parameter. The coefficients of background functions are consideredindependent across signal regions, regardless of the functions chosen. In all cases, they aretreated as free parameters in the fit to data.6.3 Modelling of the background in the multilepton signal regionThe expected continuum background event yield in the multilepton (≥3`) signal region isso small that the mγγ distribution may not be fitted with an analytic function. In thiscase, the event count in the mγγ range from 123 GeV to 127 GeV is used for statisticalinterpretation. The expected background yield in this mass range is extrapolated from acontrol region in two steps. This control region is referred to as the non-tight-isolated regionand is defined in the same way as the multilepton signal region, except that at least one ofthe two leading photons must fail to meet the photon quality criteria detailed in section 4.The expected background yield in the diphoton mass sidebands of the multilepton signalregion is scaled from the event yield in the non-tight-isolated diphoton mass sidebands.The ratio of the event yield in the non-tight-isolated control region to that in the tight-isolated signal region is checked in the other leptonic signal regions and is found to be– 13 –JHEP07(2023)176consistent, which indicates that the scale factor derived from other leptonic signal regionscan be applied to the multilepton signal region. The variations in the scale factor betweenvarious leptonic signal regions are considered as systematic uncertainties of the scale factor.Similarly, the expected background yield in the mass window of 123 GeV < mγγ < 127 GeVis computed from the expected background yield in the diphoton mass sidebands, usingscale factors evaluated in the non-tight-isolated control regions defined for various leptonicsignal regions. These scale factors are consistent and their variations are considered assystematic uncertainties of the extrapolation. The expected continuum background yieldin the multilepton signal region is found to be 0.25+0.59−0.25 events, where the lower bound ofthe uncertainty is truncated so that the yield remains positive. The expected resonantbackground yield in this region is predicted by the MC simulation.7 Systematic uncertaintiesSystematic uncertainties considered in this analysis can be grouped into three categories:uncertainties in the modelling of the mγγ distribution for the BSM and SM Higgs bosonproduction processes, uncertainties in the modelling of the continuum background mγγdistribution, and uncertainties in the expected resonant background yields in each signalregion arising from either experimental or theoretical sources. These systematic uncertaintiesare incorporated into the analysis likelihood models as nuisance parameters.7.1 Systematic uncertainties in modelling mγγ for SM and BSM Higgs bosonproductionIn general, the mγγ modelling systematic uncertainties for a given region depend on theBSM signal considered. However, the signal shape variations associated with the propertiesof a specific BSM model are negligible relative to those associated with the experimentaleffects, and only the latter are therefore considered and estimated from the SM Higgsproduction processes. The extraction of a potential signal component from the data mγγdistribution is subject to systematic uncertainties in the diphoton mass resolution andscale. While the diphoton mass resolution and scale uncertainties are also model-dependent,their variations are typically limited. The likelihood model considers only signal systematicuncertainties related to the diphoton mass scale and resolution, and does not include anysystematic uncertainty for the signal yield, which is the parameter of interest in the search.The diphoton mass scale uncertainty includes a contribution from the photon energyscale uncertainty, which is typically less than 1% of the diphoton mass, and also a systematiccomponent of 240MeV, corresponding to the measurement uncertainty of the Higgs bosonmass from the combination of the ATLAS and CMS data [99]. The diphoton mass resolutionuncertainty arises from the uncertainty of the photon energy resolution and is about 3%–15% relative to the reconstructed width of the diphoton resonance. The estimation andimplementation of the photon energy scale and resolution uncertainties follow the procedureoutlined in ref. [79].– 14 –JHEP07(2023)1767.2 Uncertainty in the continuum background modellingThe uncertainty in the modelling arises from an intrinsic shape difference between thecontinuum background mγγ distribution and the chosen analytic function. The size ofthis uncertainty is estimated using the spurious-signal test mentioned in section 6.2 and isalways smaller than 20% of the statistical uncertainty of the continuum background.7.3 Uncertainties in resonant background yieldsThe definition of the signal regions includes selections based on photons, leptons, jets (b-jets),and missing transverse momentum. As such, the expected resonant background yield issubject to experimental systematic uncertainties in the reconstruction and identificationefficiencies of these objects. The typical level of systematic uncertainty for objectreconstruction and identification is less than 1% for photons [79], 1%–4% for electrons [79]and muons [100], 2%–16% for jets [101] and b-jets [91], and 2% for τ -leptons [102].Uncertainties in the theoretical modelling of SM Higgs boson production processes areestimated by varying the scale of QCD renormalization and factorization, by changing thechoice of parton distribution function set, and by comparing the predicted events fromdifferent parton showering implementations for a given Higgs boson production process. Thetheoretical systematic uncertainties typically range from 10% to 35% [18]. The uncertaintyin the integrated luminosity of the data sample is 1.7% [27], obtained using the LUCID-2detector [28] for the primary luminosity measurements. Other uncertainties in backgroundevent yields, such as the impact of pile-up on selection efficiencies [103], contribute < 1%.8 ResultsFigures 1–6 show the diphoton mass mγγ distributions for all the signal regions consideredin this paper, except the multilepton (≥3`) signal region. The result of a signal-plus-background fit as described in section 6 is shown for each signal region. The expected andobserved event yields are determined from the signal-plus-background fit in each signalregion and are summarized in table 4. Also included in this table are the expected andobserved event counts in the multilepton signal region. No event is found in the multileptonsignal region, while the sum of the continuum and resonant background expectations is0.27+0.59−0.27 events . A p0-value was evaluated for each of these signal regions, and the largestexcess is in the HT >1000GeV region and is less than two standard deviations above theexpectation. The observed significance [104] is also given in table 4.– 15 –JHEP07(2023)176SRExpected Background ObservedResonant Higgs Continuum Total Background Observed Yield Excess Significance [σ]Heavy flavour≥3b 6.47 23.4 29.9 30 –0.3≥4b 0.69 1.22 1.91 1 –0.2High jet activity≥4j 85.2 1330 1420 1404 –0.3≥6j 16.4 104 121 105 –1.3≥8j 2.44 6.37 8.81 6 –0.9HT > 500 GeV 23.9 297 321 310 –0.6HT > 1000 GeV 1.85 27 28.8 39 1.8HT > 1500 GeV 0.264 3.9 4.17 4 0.1EmissTEmissT > 100 GeV 29 171 200 212 0.8EmissT > 200 GeV 4.51 8.06 12.6 16 0.9EmissT > 300 GeV 1.15 1.85 3 5 0.8Top quark`b 14.9 27 41.9 34 –0.6tlep 0.281 2.58 2.86 1 –0.7thad 4.44 96.3 101 111 1.7Lepton≥1` 38.8 183 222 237 1.42` 4.24 9.42 13.7 10 –0.52`–Z 1.95 7.35 9.3 10 0.7SS-2` 0.431 0.224 0.655 1 0.2≥3` 0.02 0.25 0.27 0 –≥2τ 0.256 0.875 1.13 2 0.6Photon1γ–m12γγ 2.33 119 121 132 0.71γ–m23γγ 0.436 32.8 33.2 42 1.1Table 4. Expected background and observed event yields in the diphoton mass range 123 GeV <mγγ < 127 GeV. The resonant Higgs boson production and continuum backgrounds are shownseparately. The observed significance is also shown for all signal regions except the ≥3` region,where less than one background event is expected and the observed number of events is zero. Notethat the significance is calculated using the full mass spectrum of 105GeV < mγγ < 160GeV, whichmay not be reproduced using yields reported in this table.– 16 –JHEP07(2023)176110 120 130 140 150 160 [GeV]γγm051015202530354045Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs 3b≥SR: S+B fitDataSignal+BackgroundTotal backgroundContinuum background(a) ≥3b.110 120 130 140 150 160 [GeV]γγm012345678Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs 4b≥SR: S+B fitDataSignal+BackgroundTotal backgroundContinuum background(b) ≥4b.Figure 1. Diphoton mass distributions for heavy-flavour signal regions. Data are shown togetherwith the signal-plus-background fit. The overall fitted signal-plus-background pdf is shown as a solidred curve, the contributions from the resonant Higgs boson and continuum backgrounds are shownas a dashed blue curve, while the contributions only from the continuum backgrounds are shown asa dashed green curve. The difference between the solid red and the dashed blue curves indicates thefitted deviation from the SM expectation.110 120 130 140 150 160 [GeV]γγm0200400600800100012001400160018002000Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs 4j≥SR: S+B fitDataSignal+BackgroundTotal backgroundContinuum background(a) ≥4j.110 120 130 140 150 160 [GeV]γγm020406080100120140160Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs 6j≥SR: S+B fitDataSignal+BackgroundTotal backgroundContinuum background(b) ≥6j.110 120 130 140 150 160 [GeV]γγm024681012141618Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs 8j≥SR: S+B fitDataSignal+BackgroundTotal backgroundContinuum background(c) ≥8j.110 120 130 140 150 160 [GeV]γγm050100150200250300350400Events / 2.5 GeV ATLAS-1 = 13 TeV, 139 fbs > 500 GeVTSR: HS+B fitDataSignal+BackgroundTotal backgroundContinuum background(d) HT > 500 GeV.110 120 130 140 150 160 [GeV]γγm01020304050Events / 2.5 GeV ATLAS-1 = 13 TeV, 139 fbs > 1000 GeVTSR: HS+B fitDataSignal+BackgroundTotal backgroundContinuum background(e) HT > 1000 GeV.110 120 130 140 150 160 [GeV]γγm02468101214Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs > 1500 GeVTSR: HS+B fitDataSignal+BackgroundTotal backgroundContinuum background(f) HT > 1500 GeV.Figure 2. Diphoton mass distributions for high-jet-activity signal regions. Data are shown togetherwith the signal-plus-background fit. The overall fitted signal-plus-background pdf is shown as a solidred curve, the contributions from the resonant Higgs boson and continuum backgrounds are shownas a dashed blue curve, while the contributions only from the continuum backgrounds are shown asa dashed green curve. The difference between the solid red and the dashed blue curves indicates thefitted deviation from the SM expectation.– 17 –JHEP07(2023)176110 120 130 140 150 160 [GeV]γγm050100150200250Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs > 100 GeVmissTSR: ES+B fitDataSignal+BackgroundTotal backgroundContinuum background(a) EmissT > 100 GeV.110 120 130 140 150 160 [GeV]γγm0510152025Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs > 200 GeVmissTSR: ES+B fitDataSignal+BackgroundTotal backgroundContinuum background(b) EmissT > 200 GeV.110 120 130 140 150 160 [GeV]γγm0246810Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs > 300 GeVmissTSR: ES+B fitDataSignal+BackgroundTotal backgroundContinuum background(c) EmissT > 300 GeV.Figure 3. Diphoton mass distributions for EmissT signal regions. Data are shown together with thesignal-plus-background fit. The overall fitted signal-plus-background pdf is shown as a solid redcurve, the contributions from the resonant Higgs boson and continuum backgrounds are shown as adashed blue curve, while the contributions only from the continuum backgrounds are shown as adashed green curve. The difference between the solid red and the dashed blue curves indicates thefitted deviation from the SM expectation.110 120 130 140 150 160 [GeV]γγm050100150200250300Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs 1l≥SR: S+B fitDataSignal+BackgroundTotal backgroundContinuum background(a) ≥1`.110 120 130 140 150 160 [GeV]γγm051015202530Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbsSR: 2lS+B fitDataSignal+BackgroundTotal backgroundContinuum background(b) 2`.110 120 130 140 150 160 [GeV]γγm051015202530Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbsZSR: 2l - S+B fitDataSignal+BackgroundTotal backgroundContinuum background(c) 2`–Z.110 120 130 140 150 160 [GeV]γγm012345678Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbsSR: SS - 2lS+B fitDataSignal+BackgroundTotal backgroundContinuum background(d) SS-2`.110 120 130 140 150 160 [GeV]γγm012345678Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbsτ 2≥SR: S+B fitDataSignal+BackgroundTotal backgroundContinuum background(e) ≥2τ .Figure 4. Diphoton mass distributions for lepton signal regions. Data are shown together with thesignal-plus-background fit. The overall fitted signal-plus-background pdf is shown as a solid redcurve, the contributions from the resonant Higgs boson and continuum backgrounds are shown as adashed blue curve, while the contributions only from the continuum backgrounds are shown as adashed green curve. The difference between the solid red and the dashed blue curves indicates thefitted deviation from the SM expectation.– 18 –JHEP07(2023)176110 120 130 140 150 160 [GeV]γγm01020304050Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbsSR: lbS+B fitDataSignal+BackgroundTotal backgroundContinuum background(a) `b.110 120 130 140 150 160 [GeV]γγm0246810Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbslepSR: tS+B fitDataSignal+BackgroundTotal backgroundContinuum background(b) tlep.110 120 130 140 150 160 [GeV]γγm020406080100120140160Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbshadSR: tS+B fitDataSignal+BackgroundTotal backgroundContinuum background(c) thad.Figure 5. Diphoton mass distributions for top-quark signal regions. Data are shown together withthe signal-plus-background fit. The overall fitted signal-plus-background pdf is shown as a solid redcurve, the contributions from the resonant Higgs boson and continuum backgrounds are shown as adashed blue curve, while the contributions only from the continuum backgrounds are shown as adashed green curve. The difference between the solid red and the dashed blue curves indicates thefitted deviation from the SM expectation.110 120 130 140 150 160 [GeV]γγm020406080100120140160180Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs12γγ - mγSR: 1 S+B fitDataSignal+BackgroundTotal backgroundContinuum background(a) 1γ–m12γγ .110 120 130 140 150 160 [GeV]γγm010203040506070Events / 2.5 GeVATLAS-1 = 13 TeV, 139 fbs23γγ - mγSR: 1 S+B fitDataSignal+BackgroundTotal backgroundContinuum background(b) 1γ–m23γγ .Figure 6. Diphoton mass distributions for photon signal regions. Data are shown together withthe signal-plus-background fit. The overall fitted signal-plus-background pdf is shown as a solid redcurve, the contributions from the resonant Higgs boson and continuum backgrounds are shown as adashed blue curve, while the contributions only from the continuum backgrounds are shown as adashed green curve. The difference between the solid red and the dashed blue curves indicates thefitted deviation from the SM expectation.8.1 Upper limits on BSM production cross sectionsSince no significant excess beyond the SM expectation was observed, the mγγ distributionsin the signal regions, as well as the event count in the multilepton (≥3`) region, are used toset limits on the visible cross section of BSM production of the Higgs boson with a mass of125.09GeV in these regions. The 95% CL limits were derived using the modified frequentistCLs method [105]. The limits are shown in table 5 and graphically in figure 7. The observed95% CL limit on the visible cross section ranges from 0.05 fb (≥3`) to 0.7 fb (≥4j).– 19 –JHEP07(2023)17695% CL limit [fb]SR Observed Median +1σ −1σ +2σ −2σHeavy flavour≥3b 0.12 0.13 0.18 0.093 0.25 0.069≥4b 0.037 0.037 0.054 0.026 0.081 0.02High jet activity≥4j 0.73 0.81 1.1 0.58 1.5 0.43≥6j 0.15 0.22 0.31 0.16 0.42 0.12≥8j 0.047 0.065 0.094 0.047 0.13 0.035HT > 500 GeV 0.28 0.34 0.47 0.24 0.64 0.18HT > 1000 GeV 0.21 0.11 0.16 0.079 0.22 0.059HT > 1500 GeV 0.052 0.048 0.07 0.034 0.1 0.026EmissTEmissT > 100 GeV 0.4 0.3 0.42 0.22 0.57 0.16EmissT > 200 GeV 0.11 0.075 0.11 0.054 0.15 0.04EmissT > 300 GeV 0.053 0.04 0.059 0.029 0.088 0.022Top`b 0.14 0.16 0.22 0.11 0.29 0.085tlep 0.034 0.043 0.062 0.031 0.092 0.023thad 0.39 0.23 0.32 0.17 0.44 0.12Lepton≥1` 0.5 0.32 0.45 0.23 0.61 0.172` 0.069 0.08 0.11 0.057 0.16 0.0432`–Z 0.089 0.068 0.098 0.049 0.14 0.037SS-2` 0.028 0.026 0.04 0.019 0.061 0.014≥3` 0.022 0.022 0.028 0.022 0.046 0.022≥2τ 0.036 0.031 0.046 0.022 0.07 0.016Photon1γ–m12γγ 0.44 0.35 0.49 0.25 0.66 0.191γ–m23γγ 0.4 0.28 0.4 0.2 0.55 0.15Table 5. Observed and expected 95% CL upper limits on the visible cross section of BSM Higgs bosonproduction in each signal region. The ±1σ and ±2σ variations of the expected limit are also shown.The observed limits reported here are correlated since the signal regions overlap. Toenable the use of limits from multiple signal regions to constrain BSM processes, thecorrelation between the observed limits from any pair of signal regions considered in thispaper is estimated using a pseudo-experiment-based bootstrapping procedure [106]. Readersof this paper could derive a combined limit on the cross section of a BSM signal using theobserved limits in individual signal regions and their correlations. Only regions with at least50 events in the mγγ range from 105 GeV to 160 GeV were checked using this procedure.Correlations larger than 5% are observed for a few regions and are reported in table 6.– 20 –JHEP07(2023)176 3b≥ 4b≥ 4j≥ 6j≥ 8j≥ > 500 GeVTH > 1000 GeVTH > 1500 GeVTH > 100 GeVmissTE > 200 GeVmissTE > 300 GeVmissTElb lept hadt 1l≥2l Z2l - SS - 2l 3l≥τ 2≥12 γγ-mγ1 23 γγ-mγ1 12345678910 [fb]σUpper limit on visible ATLAS-1 = 13 TeV, 139 fbsAll Limits at 95% CL 3b≥ 4b≥ 4j≥ 6j≥ 8j≥ > 500 GeVTH > 1000 GeVTH > 1500 GeVTH > 100 GeVmissTE > 200 GeVmissTE > 300 GeVmissTElb lept hadt 1l≥2l Z2l - SS - 2l 3l≥τ 2≥12 γγ-mγ1 23 γγ-mγ1 2−101−101 [fb]σUpper limit on visible Observed LimitExpected Limitσ+/- 1 σ+/- 2 Figure 7. Observed and expected 95% CL limits on the visible cross section of BSM Higgs bosonproduction in each signal region. The 1σ and 2σ variations of the expected limit are also shown asgreen and yellow bands, respectively.8.2 Interpretation with particle-level simulationThis paper aims to present results that can be used without detailed knowledge of the ATLASdetector to derive constraints on the BSM processes of interest. For a specific BSM process,Region Region (Correlation)≥4j ≥6j (29%), HT > 500 GeV (28%)≥6j ≥8j (25%), HT > 500 GeV (26%), HT > 1000 GeV (8%)HT > 500 GeV HT > 1000 GeV (32%)EmissT > 200GeV EmissT > 100 GeV (29%)1` 2` (26%), `b (36%)2` 2`–Z (97%)Table 6. Correlations between observed 95% CL limits for pairs of signal regions. Only regionswith a correlation greater than 5% are reported. Pairs of regions that appear in previous rows arenot repeated.– 21 –JHEP07(2023)176Object RequirementsPhoton pT > 22 GeV, |η| < 2.5Electron pT > 10 GeV, |η| < 2.5Muon pT > 10 GeV, |η| < 2.7Jet pT > 25 GeV, |η| < 4.4b-jet pT > 25 GeV, |η| < 2.5, ∆R(b-quark, jet) < 0.4τ -lepton pT > 20 GeV, |η| < 2.5Preselectionpγ1T > 35 GeV, pγ2T > 25 GeV, pγ1T /mγγ > 0.35, pγ2T /mγγ > 0.25Table 7. Particle-level object definitions and event preselection.its particle-level cross section, σtru, in a given region can be derived from MC simulationwith particle-level requirements as given in table 3. To determine if the BSM process isexcluded or not, σtru should be compared with a particle-level 95% CL limit, σ95tru, for thesame region. Since this paper only reports a 95% CL limit on the visible cross section at thedetector level, σ95det, for any of the signal regions, a signal-region-specific detector efficiency,, must be provided to convert σ95det to σ95tru. More specifically, one has σ95tru = σ95det/.The region-specific detector efficiency  is defined as the ratio of the event yield in asignal region at the detector level to that in a signal region defined at the particle level.As such, for each signal region considered in this paper, a particle-level definition mustbe specified. Table 7 summarizes the particle-level object definitions. Particle-level jetsare built from all MC generator-level “truth” particles, removing the contributions frommuons and stable particles such as neutrinos and lightest supersymmetric particles, usingthe anti-kt algorithm with a radius parameter of 0.4. The particle-level objects are requiredto be isolated by implementing the following overlap removal procedure: electrons, muons,photons, and τ -leptons are removed if there is another object of the same type within∆R < 0.1. Then any muon, jet or electron is removed if it is within ∆R = 0.4 of any photon,any jet within ∆R = 0.2 of any electron is removed, and finally any muon or electronwithin ∆R = 0.4 of any jet is removed. In this paper, a particle-level b-jet is defined as ajet that is within ∆R = 0.4 of a b-quark, and the b-quark should pass the requirements ofpT > 25 GeV and |η| < 2.5. This requirement is not fully efficient due to the kinematicrequirements on the b-quark. Depending on the specific signal process, the requirement hasan efficiency of matching a particle-level jet to a b-quark at the level of 70% to 80%, fora b-quark with pT > 25 GeV and |η| < 2.5. Then, the particle-level signal regions can bedefined with the particle-level objects, and the definitions are detailed in table 3.The detector efficiency, , is evaluated for all signal regions considered in this paper andis summarized in table 8. For each signal region, the value of  is calculated for a few SMand BSM Higgs boson production processes, and the range of  values is reported. Sincethe final-state object multiplicity and kinematics can differ between processes, variations in are expected. The reported  values are subject to a small statistical uncertainty, which– 22 –JHEP07(2023)176is much smaller than the variation in  between different physics processes. In general, thedetector-level selection is always less efficient than the particle-level selection, except forthe following two situations. First, when selecting a particle-level b-jet, the ∆R matchingprocedure may be less efficient than the detector-level b-tagging, for which a b-jet is definedas a jet containing a b-hadron. The adoption of the ∆R matching procedure is motivatedby the convenience of implementation at the particle level. Second, when a signal region isdefined by placing a cut at a value in the tail of a variable’s distribution, such as for HT orthe number of jets, detector-level effects could lead to event migration and hence a higherdetector-level selection efficiency. However, when all the detector effects are combined, asshown in table 8,  is always less than 1. The value of  is very small for the 2τ signal regionbecause the particle-level τ -leptons include all τ -leptons regardless of their decay modes. Thischoice is also motivated by the convenience of selection implementation at the particle level.As an example, an electroweak SUSY production model, corresponding to the oneshown in the first row of table 2 is used to demonstrate how information reported in thissection can be used to derive a constraint on a given BSM model. In this SUSY process, achargino and neutralino pair (χ˜±1 χ˜02) is produced in the pp collision, which results in a finalstate of a W boson, a Higgs boson, and two light neutralinos, χ˜01. The light neutralinos areundetectable, giving rise to large values of EmissT . The masses of the pair-produced charginoand neutralino are 150 GeV, and the light neutralino’s mass is 0.5 GeV. For this model,a targeted search has already been carried out by the ATLAS Collaboration [69], whichreported a 95% CL upper limit of 2 pb for the cross section at this specific signal point.The EmissT > 100 GeV signal region can be used to probe the same SUSY process, whichpredicts a particle-level cross section, σtru, of 1.05 fb for this EmissT > 100 GeV region. Theobserved 95% CL upper limit on the BSM cross section at the detector level is σ95det = 0.4 fb,for the EmissT > 100 GeV region, and its corresponding  is chosen, conservatively, to be0.6, according to table 8. The particle-level 95% CL limit on the BSM cross section in theEmissT > 100 GeV region is therefore σ95tru = 0.67 fb, which would exclude the SUSY modelconsidered here. The observed limit in the EmissT > 100 GeV region in the H → γγ finalstate can be converted to a limit on the inclusive cross section for this SUSY model bytaking into account the selection acceptance at the particle level and the H → γγ branchingratio, and the resulting inclusive cross-section limit is 3.3 pb. This limit is of the same orderof magnitude as the 2 pb upper limit in the dedicated search, but is 65% weaker.– 23 –JHEP07(2023)176SR Relevant processes Range of Heavy flavour≥3b b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν 0.68–0.81≥4b b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν 0.64–0.97High jet activity≥4j tt¯H, b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, tWH 0.60–0.70≥6j tt¯H, b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, tWH 0.64–0.80≥8j tt¯H, b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν 0.65–0.90HT > 500 GeV tt¯H, b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, tWH 0.52–0.66HT > 1000 GeV tt¯H, b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, tWH 0.51–0.72HT > 1500 GeV tt¯H, b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν 0.41–0.73EmissTEmissT > 100 GeV tt¯H, tWH, WH, ZH, χ˜±1 χ˜02→W/Z/H 0.60–0.78EmissT > 200 GeV tt¯H, tWH, WH, ZH, χ˜±1 χ˜02→W/Z/H 0.60–0.79EmissT > 300 GeV tt¯H, tWH, WH, ZH, χ˜±1 χ˜02→W/Z/H 0.66–0.84Lepton≥1` WH, tt¯H, tWH, FCNC, χ˜±1 χ˜02→W/Z/H 0.40–0.482` ZH, tt¯H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, χ˜±1 χ˜∓1 →H`±H`∓, χ˜±1 χ˜01, χ˜±1 →H`±, χ˜01→W`/Zν/Hν 0.21–0.482`–Z tt¯H, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, χ˜±1 χ˜∓1 →H`±H`∓, χ˜±1 χ˜01, χ˜±1 →H`±, χ˜01→W`/Zν/Hν 0.20–0.46≥3` t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, χ˜±1 χ˜∓1 →H`±H`∓, χ˜±1 χ˜01, χ˜±1 →H`±, χ˜01→W`/Zν/Hν 0.18–0.33SS-2` t˜2 t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, χ˜±1 χ˜01, χ˜±1 →H`±, χ˜01→W`/Zν/Hν 0.29–0.49≥2τ ZH, t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H, χ˜±1 χ˜∓1 →H`±H`∓, χ˜±1 χ˜01, χ˜±1 →H`±, χ˜01→W`/Zν/Hν 0.04–0.09Top quarktlep FCNC with semileptonically decaying top 0.32–0.36thad FCNC with hadronically decaying top 0.29–0.30`b tt¯H, tHjb, tWH, FCNC with semileptonically decaying top 0.41–0.52Photon1γ–m12γγ t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν, b˜b˜, b˜→ χ˜02b, χ˜02→ χ˜01H 0.23–0.331γ–m23γγ t˜2t˜2, t˜2→ t˜1H, t˜1→ χ˜01bqq¯/b`ν 0.35–0.40Table 8. Range of  values for all SRs. The detector efficiency  is only calculated for processes wherethe reconstruction-level yield in a given signal region is greater than 0.1 events for 139 fb−1 of data.9 ConclusionsThis paper reports a model-independent examination of the diphoton final states where aHiggs boson is produced, using a 139 fb−1 data sample of 13 TeV pp collisions collectedby the ATLAS detector during Run 2 of the LHC. A total of 22 signal regions definedwith various requirements on the additional reconstructed objects were examined, and nosignificant excess over the SM expectation was observed. Upper limits at 95% CL were seton the visible cross section of BSM Higgs boson production in each of these signal regions.To enable interpretation of the results as a constraint on other models, a set of detectorefficiency factors is also reported.AcknowledgmentsWe thank CERN for the very successful operation of the LHC, as well as the support stafffrom our institutions without whom ATLAS could not be operated efficiently.We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia;BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC,NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias,Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS– 24 –JHEP07(2023)176and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany;GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN,Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway;MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia;ARRS and MIZŠ, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and WallenbergFoundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST,Taiwan; TENMAK, Türkiye; STFC, United Kingdom; DOE and NSF, United States ofAmerica. In addition, individual groups and members have received support from BCKDF,CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013,Czech Republic; COST, ERC, ERDF, Horizon 2020 and Marie Skłodowska-Curie Actions,European Union; Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR,France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmesco-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel;Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La CaixaBanking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO andGenT Programmes Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden;The Royal Society and Leverhulme Trust, United Kingdom.The crucial computing support from all WLCG partners is acknowledged gratefully,in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF(Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.),the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributorsof computing resources are listed in ref. [107].Open Access. This article is distributed under the terms of the Creative CommonsAttribution License (CC-BY 4.0), which permits any use, distribution and reproduction inany medium, provided the original author(s) and source are credited.References[1] ATLAS collaboration, Observation of a new particle in the search for the standard modelHiggs boson with the ATLAS detector at the LHC, Phys. Lett. B 716 (2012) 1[arXiv:1207.7214] [INSPIRE].[2] CMS collaboration, Observation of a new boson at a mass of 125GeV with the CMSexperiment at the LHC, Phys. Lett. B 716 (2012) 30 [arXiv:1207.7235] [INSPIRE].[3] Y.A. Golfand and E.P. Likhtman, Extension of the algebra of Poincaré group generators andviolation of p invariance, JETP Lett. 13 (1971) 323 [INSPIRE].[4] D.V. Volkov and V.P. Akulov, Is the neutrino a Goldstone particle?, Phys. Lett. B 46 (1973)109 [INSPIRE].[5] J. Wess and B. Zumino, Supergauge transformations in four-dimensions, Nucl. Phys. B 70(1974) 39 [INSPIRE].[6] J. Wess and B. Zumino, Supergauge invariant extension of quantum electrodynamics, Nucl.Phys. B 78 (1974) 1 [INSPIRE].– 25 –JHEP07(2023)176[7] S. Ferrara and B. Zumino, Supergauge invariant Yang-Mills theories, Nucl. Phys. B 79 (1974)413 [INSPIRE].[8] A. Salam and J.A. Strathdee, Supersymmetry and non-Abelian gauges, Phys. Lett. B 51(1974) 353 [INSPIRE].[9] J.A. Aguilar-Saavedra, Effects of mixing with quark singlets, Phys. Rev. D 67 (2003) 035003[Erratum ibid. 69 (2004) 099901] [hep-ph/0210112] [INSPIRE].[10] S. Bejar, J. Guasch and J. Sola, Loop induced flavor changing neutral decays of the top quarkin a general two Higgs doublet model, Nucl. Phys. B 600 (2001) 21 [hep-ph/0011091][INSPIRE].[11] J. Guasch and J. Sola, FCNC top quark decays: a door to SUSY physics in high luminositycolliders?, Nucl. Phys. B 562 (1999) 3 [hep-ph/9906268] [INSPIRE].[12] J.J. Cao et al., SUSY-induced FCNC top-quark processes at the Large Hadron Collider, Phys.Rev. D 75 (2007) 075021 [hep-ph/0702264] [INSPIRE].[13] G. Eilam et al., Top quark rare decay t→ ch in R-parity violating SUSY, Phys. Lett. B 510(2001) 227 [hep-ph/0102037] [INSPIRE].[14] F. del Aguila and M.J. Bowick, The possibility of new fermions with ∆I = 0 mass, Nucl.Phys. B 224 (1983) 107 [INSPIRE].[15] J.A. Aguilar-Saavedra, Identifying top partners at LHC, JHEP 11 (2009) 030[arXiv:0907.3155] [INSPIRE].[16] ATLAS collaboration, A detailed map of Higgs boson interactions by the ATLAS experimentten years after the discovery, Nature 607 (2022) 52 [Erratum ibid. 612 (2022) E24][arXiv:2207.00092] [INSPIRE].[17] CMS collaboration, A portrait of the Higgs boson by the CMS experiment ten years after thediscovery, Nature 607 (2022) 60 [arXiv:2207.00043] [INSPIRE].[18] LHC Higgs Cross Section Working Group collaboration, Handbook of LHC Higgscross sections: 4. Deciphering the nature of the Higgs sector, arXiv:1610.07922[DOI:10.23731/CYRM-2017-002] [INSPIRE].[19] ATLAS collaboration, Measurement of the properties of Higgs boson production at√s = 13TeV in the H → γγ channel using 139 fb−1 of pp collision data with the ATLASexperiment, arXiv:2207.00348 [INSPIRE].[20] ATLAS collaboration, Measurement of the total and differential Higgs boson productioncross-sections at√s = 13TeV with the ATLAS detector by combining the H → ZZ∗ → 4`and H → γγ decay channels, JHEP 05 (2023) 028 [arXiv:2207.08615] [INSPIRE].[21] ATLAS collaboration, The ATLAS experiment at the CERN Large Hadron Collider, 2008JINST 3 S08003 [INSPIRE].[22] ATLAS collaboration, ATLAS Insertable B-Layer technical design report,CERN-LHCC-2010-013, CERN, Geneva, Switzerland (2010).[23] ATLAS IBL collaboration, Production and integration of the ATLAS Insertable B-Layer,2018 JINST 13 T05008 [arXiv:1803.00844] [INSPIRE].[24] ATLAS collaboration, Performance of the ATLAS trigger system in 2015, Eur. Phys. J. C77 (2017) 317 [arXiv:1611.09661] [INSPIRE].– 26 –JHEP07(2023)176[25] ATLAS collaboration, The ATLAS collaboration software and firmware,ATL-SOFT-PUB-2021-001, CERN, Geneva, Switzerland (2021).[26] ATLAS collaboration, ATLAS data quality operations and performance for 2015–2018data-taking, 2020 JINST 15 P04003 [arXiv:1911.04632] [INSPIRE].[27] ATLAS collaboration, Luminosity determination in pp collisions at√s = 13TeV using theATLAS detector at the LHC, ATLAS-CONF-2019-021, CERN, Geneva, Switzerland (2019).[28] G. Avoni et al., The new LUCID-2 detector for luminosity measurement and monitoring inATLAS, 2018 JINST 13 P07017 [INSPIRE].[29] ATLAS collaboration, Performance of electron and photon triggers in ATLAS during LHCrun 2, Eur. Phys. J. C 80 (2020) 47 [arXiv:1909.00761] [INSPIRE].[30] K. Hamilton, P. Nason, E. Re and G. Zanderighi, NNLOPS simulation of Higgs bosonproduction, JHEP 10 (2013) 222 [arXiv:1309.0017] [INSPIRE].[31] P. Nason, A new method for combining NLO QCD with shower Monte Carlo algorithms,JHEP 11 (2004) 040 [hep-ph/0409146] [INSPIRE].[32] S. Frixione, P. Nason and C. Oleari, Matching NLO QCD computations with parton showersimulations: the POWHEG method, JHEP 11 (2007) 070 [arXiv:0709.2092] [INSPIRE].[33] S. Alioli, P. Nason, C. Oleari and E. Re, A general framework for implementing NLOcalculations in shower Monte Carlo programs: the POWHEG BOX, JHEP 06 (2010) 043[arXiv:1002.2581] [INSPIRE].[34] P. Nason and C. Oleari, NLO Higgs boson production via vector-boson fusion matched withshower in POWHEG, JHEP 02 (2010) 037 [arXiv:0911.5299] [INSPIRE].[35] K. Mimasu, V. Sanz and C. Williams, Higher order QCD predictions for associated Higgsproduction with anomalous couplings to gauge bosons, JHEP 08 (2016) 039[arXiv:1512.02572] [INSPIRE].[36] J.M. Campbell et al., NLO Higgs boson production plus one and two jets using the POWHEGBOX, MadGraph4 and MCFM, JHEP 07 (2012) 092 [arXiv:1202.5475] [INSPIRE].[37] G. Luisoni, P. Nason, C. Oleari and F. Tramontano, HW±/HZ + 0 and 1 jet at NLO withthe POWHEG BOX interfaced to GoSam and their merging within MiNLO, JHEP 10 (2013)083 [arXiv:1306.2542] [INSPIRE].[38] H.B. Hartanto, B. Jäger, L. Reina and D. Wackeroth, Higgs boson production in associationwith top quarks in the POWHEG BOX, Phys. Rev. D 91 (2015) 094003 [arXiv:1501.04498][INSPIRE].[39] J. Butterworth et al., PDF4LHC recommendations for LHC run II, J. Phys. G 43 (2016)023001 [arXiv:1510.03865] [INSPIRE].[40] T. Sjöstrand, S. Mrenna and P.Z. Skands, A brief introduction to PYTHIA 8.1, Comput.Phys. Commun. 178 (2008) 852 [arXiv:0710.3820] [INSPIRE].[41] T. Sjöstrand et al., An introduction to PYTHIA 8.2, Comput. Phys. Commun. 191 (2015)159 [arXiv:1410.3012] [INSPIRE].[42] ATLAS collaboration, Measurement of the Z/γ∗ boson transverse momentum distribution inpp collisions at√s = 7TeV with the ATLAS detector, JHEP 09 (2014) 145[arXiv:1406.3660] [INSPIRE].– 27 –JHEP07(2023)176[43] K. Hamilton, P. Nason and G. Zanderighi, MINLO: Multi-scale Improved NLO, JHEP 10(2012) 155 [arXiv:1206.3572] [INSPIRE].[44] K. Hamilton, P. Nason, C. Oleari and G. Zanderighi, Merging H/W/Z + 0 and 1 jet at NLOwith no merging scale: a path to parton shower + NNLO matching, JHEP 05 (2013) 082[arXiv:1212.4504] [INSPIRE].[45] S. Catani and M. Grazzini, An NNLO subtraction formalism in hadron collisions and itsapplication to Higgs boson production at the LHC, Phys. Rev. Lett. 98 (2007) 222002[hep-ph/0703012] [INSPIRE].[46] G. Bozzi, S. Catani, D. de Florian and M. Grazzini, Transverse-momentum resummation andthe spectrum of the Higgs boson at the LHC, Nucl. Phys. B 737 (2006) 73 [hep-ph/0508068][INSPIRE].[47] D. de Florian, G. Ferrera, M. Grazzini and D. Tommasini, Transverse-momentumresummation: Higgs boson production at the Tevatron and the LHC, JHEP 11 (2011) 064[arXiv:1109.2109] [INSPIRE].[48] S. Frixione, P. Nason and G. Ridolfi, A positive-weight next-to-leading-order Monte Carlo forheavy flavour hadroproduction, JHEP 09 (2007) 126 [arXiv:0707.3088] [INSPIRE].[49] NNPDF collaboration, Parton distributions for the LHC run II, JHEP 04 (2015) 040[arXiv:1410.8849] [INSPIRE].[50] ATLAS collaboration, ATLAS Pythia 8 tunes to 7TeV data, ATL-PHYS-PUB-2014-021,CERN, Geneva, Switzerland (2014).[51] D.J. Lange, The EvtGen particle decay simulation package, Nucl. Instrum. Meth. A 462(2001) 152 [INSPIRE].[52] Sherpa collaboration, Event generation with Sherpa 2.2, SciPost Phys. 7 (2019) 034[arXiv:1905.09127] [INSPIRE].[53] T. Gleisberg and S. Höche, Comix, a new matrix element generator, JHEP 12 (2008) 039[arXiv:0808.3674] [INSPIRE].[54] OpenLoops 2 collaboration, OpenLoops 2, Eur. Phys. J. C 79 (2019) 866[arXiv:1907.13071] [INSPIRE].[55] F. Cascioli, P. Maierhöfer and S. Pozzorini, Scattering amplitudes with Open Loops, Phys.Rev. Lett. 108 (2012) 111601 [arXiv:1111.5206] [INSPIRE].[56] A. Denner, S. Dittmaier and L. Hofer, Collier: a fortran-based Complex One-Loop LIbrary inExtended Regularizations, Comput. Phys. Commun. 212 (2017) 220 [arXiv:1604.06792][INSPIRE].[57] S. Schumann and F. Krauss, A parton shower algorithm based on Catani-Seymour dipolefactorisation, JHEP 03 (2008) 038 [arXiv:0709.1027] [INSPIRE].[58] S. Höche, F. Krauss, M. Schönherr and F. Siegert, A critical appraisal of NLO+PS matchingmethods, JHEP 09 (2012) 049 [arXiv:1111.1220] [INSPIRE].[59] S. Höche, F. Krauss, M. Schonherr and F. Siegert, QCD matrix elements + parton showers:the NLO case, JHEP 04 (2013) 027 [arXiv:1207.5030] [INSPIRE].[60] S. Catani, F. Krauss, R. Kuhn and B.R. Webber, QCD matrix elements + parton showers,JHEP 11 (2001) 063 [hep-ph/0109231] [INSPIRE].– 28 –JHEP07(2023)176[61] S. Höche, F. Krauss, S. Schumann and F. Siegert, QCD matrix elements and truncatedshowers, JHEP 05 (2009) 053 [arXiv:0903.1219] [INSPIRE].[62] F. Siegert, A practical guide to event generation for prompt photon production with Sherpa, J.Phys. G 44 (2017) 044007 [arXiv:1611.07226] [INSPIRE].[63] S. Frixione, Isolated photons in perturbative QCD, Phys. Lett. B 429 (1998) 369[hep-ph/9801442] [INSPIRE].[64] R.D. Ball et al., Parton distributions with LHC data, Nucl. Phys. B 867 (2013) 244[arXiv:1207.1303] [INSPIRE].[65] N. Arkani-Hamed, A.G. Cohen, E. Katz and A.E. Nelson, The littlest Higgs, JHEP 07 (2002)034 [hep-ph/0206021] [INSPIRE].[66] K. Agashe, R. Contino and A. Pomarol, The minimal composite Higgs model, Nucl. Phys. B719 (2005) 165 [hep-ph/0412089] [INSPIRE].[67] L. Randall and R. Sundrum, An alternative to compactification, Phys. Rev. Lett. 83 (1999)4690 [hep-th/9906064] [INSPIRE].[68] J. Alwall et al., The automated computation of tree-level and next-to-leading order differentialcross sections, and their matching to parton shower simulations, JHEP 07 (2014) 079[arXiv:1405.0301] [INSPIRE].[69] ATLAS collaboration, Search for direct production of electroweakinos in final states withmissing transverse momentum and a Higgs boson decaying into photons in pp collisions at√s = 13TeV with the ATLAS detector, JHEP 10 (2020) 005 [arXiv:2004.10894] [INSPIRE].[70] ATLAS collaboration, Search for trilepton resonances from chargino and neutralino pairproduction in√s = 13TeV pp collisions with the ATLAS detector, Phys. Rev. D 103 (2021)112003 [arXiv:2011.10543] [INSPIRE].[71] ATLAS collaboration, Search for top squarks in events with a Higgs or Z boson using139 fb−1 of pp collision data at√s = 13TeV with the ATLAS detector, Eur. Phys. J. C 80(2020) 1080 [arXiv:2006.05880] [INSPIRE].[72] ATLAS collaboration, Search for bottom-squark pair production with the ATLAS detector infinal states containing Higgs bosons, b-jets and missing transverse momentum, JHEP 12(2019) 060 [arXiv:1908.03122] [INSPIRE].[73] ATLAS collaboration, Search for heavy resonances decaying into a photon and a hadronicallydecaying Higgs boson in pp collisions at√s = 13TeV with the ATLAS detector, Phys. Rev.Lett. 125 (2020) 251802 [arXiv:2008.05928] [INSPIRE].[74] ATLAS collaboration, Search for top quark decays t→ qH, with H → γγ, in √s = 13TeVpp collisions using the ATLAS detector, JHEP 10 (2017) 129 [arXiv:1707.01404] [INSPIRE].[75] ATLAS collaboration, The Pythia 8 A3 tune description of ATLAS minimum bias andinelastic measurements incorporating the Donnachie-Landshoff diffractive model,ATL-PHYS-PUB-2016-017, CERN, Geneva, Switzerland (2016).[76] GEANT4 collaboration, GEANT4 — a simulation toolkit, Nucl. Instrum. Meth. A 506(2003) 250 [INSPIRE].[77] ATLAS collaboration, The ATLAS simulation infrastructure, Eur. Phys. J. C 70 (2010) 823[arXiv:1005.4568] [INSPIRE].– 29 –JHEP07(2023)176[78] ATLAS collaboration, Measurement of Higgs boson production in the diphoton decay channelin pp collisions at center-of-mass energies of 7 and 8TeV with the ATLAS detector, Phys.Rev. D 90 (2014) 112015 [arXiv:1408.7084] [INSPIRE].[79] ATLAS collaboration, Electron and photon performance measurements with the ATLASdetector using the 2015–2017 LHC proton-proton collision data, 2019 JINST 14 P12006[arXiv:1908.00005] [INSPIRE].[80] M. Cacciari, G.P. Salam and G. Soyez, The catchment area of jets, JHEP 04 (2008) 005[arXiv:0802.1188] [INSPIRE].[81] M. Cacciari, G.P. Salam and S. Sapeta, On the characterisation of the underlying event,JHEP 04 (2010) 065 [arXiv:0912.4926] [INSPIRE].[82] ATLAS collaboration, Measurement of the photon identification efficiencies with the ATLASdetector using LHC run-1 data, Eur. Phys. J. C 76 (2016) 666 [arXiv:1606.01813][INSPIRE].[83] ATLAS collaboration, Measurement of the inclusive isolated prompt photon cross section inpp collisions at√s = 7TeV with the ATLAS detector, Phys. Rev. D 83 (2011) 052005[arXiv:1012.4389] [INSPIRE].[84] ATLAS collaboration, Muon reconstruction performance of the ATLAS detector inproton-proton collision data at√s = 13TeV, Eur. Phys. J. C 76 (2016) 292[arXiv:1603.05598] [INSPIRE].[85] ATLAS collaboration, Jet reconstruction and performance using particle flow with theATLAS detector, Eur. Phys. J. C 77 (2017) 466 [arXiv:1703.10485] [INSPIRE].[86] M. Cacciari, G.P. Salam and G. Soyez, The anti-kt jet clustering algorithm, JHEP 04 (2008)063 [arXiv:0802.1189] [INSPIRE].[87] M. Cacciari, G.P. Salam and G. Soyez, FastJet user manual, Eur. Phys. J. C 72 (2012) 1896[arXiv:1111.6097] [INSPIRE].[88] ATLAS collaboration, Topological cell clustering in the ATLAS calorimeters and itsperformance in LHC run 1, Eur. Phys. J. C 77 (2017) 490 [arXiv:1603.02934] [INSPIRE].[89] ATLAS collaboration, Performance of pile-up mitigation techniques for jets in pp collisionsat√s = 8TeV using the ATLAS detector, Eur. Phys. J. C 76 (2016) 581[arXiv:1510.03823] [INSPIRE].[90] ATLAS collaboration, Forward jet vertex tagging using the particle flow algorithm,ATL-PHYS-PUB-2019-026, CERN, Geneva, Switzerland (2019).[91] ATLAS collaboration, ATLAS b-jet identification performance and efficiency measurementwith tt¯ events in pp collisions at√s = 13TeV, Eur. Phys. J. C 79 (2019) 970[arXiv:1907.05120] [INSPIRE].[92] ATLAS collaboration, Identification of hadronic tau lepton decays using neural networks inthe ATLAS experiment, ATL-PHYS-PUB-2019-033, CERN, Geneva, Switzerland (2019).[93] ATLAS collaboration, Performance of missing transverse momentum reconstruction with theATLAS detector using proton-proton collisions at√s = 13TeV, Eur. Phys. J. C 78 (2018)903 [arXiv:1802.08168] [INSPIRE].– 30 –JHEP07(2023)176[94] ATLAS collaboration, CP properties of Higgs boson interactions with top quarks in the tt¯Hand tH processes using H → γγ with the ATLAS detector, Phys. Rev. Lett. 125 (2020)061802 [arXiv:2004.04545] [INSPIRE].[95] ATLAS collaboration, Measurements of the Higgs boson inclusive and differential fiducialcross-sections in the diphoton decay channel with pp collisions at√s = 13TeV with theATLAS detector, JHEP 08 (2022) 027 [arXiv:2202.00487] [INSPIRE].[96] M. Oreglia, A study of the reactions ψ′ → γγψ, Ph.D. thesis, Stanford University, Stanford,CA, U.S.A. (1980) [INSPIRE].[97] ATLAS collaboration, Search for scalar diphoton resonances in the mass range 65–600GeVwith the ATLAS detector in pp collision data at√s = 8TeV, Phys. Rev. Lett. 113 (2014)171801 [arXiv:1407.6583] [INSPIRE].[98] ATLAS collaboration, Measurements of Higgs boson properties in the diphoton decay channelwith 36 fb−1 of pp collision data at√s = 13TeV with the ATLAS detector, Phys. Rev. D 98(2018) 052005 [arXiv:1802.04146] [INSPIRE].[99] ATLAS and CMS collaborations, Combined measurement of the Higgs boson mass in ppcollisions at√s = 7 and 8TeV with the ATLAS and CMS experiments, Phys. Rev. Lett. 114(2015) 191803 [arXiv:1503.07589] [INSPIRE].[100] ATLAS collaboration, Muon reconstruction and identification efficiency in ATLAS using thefull run 2 pp collision data set at√s = 13TeV, Eur. Phys. J. C 81 (2021) 578[arXiv:2012.00578] [INSPIRE].[101] ATLAS collaboration, Jet energy scale and resolution measured in proton-proton collisions at√s = 13TeV with the ATLAS detector, Eur. Phys. J. C 81 (2021) 689 [arXiv:2007.02645][INSPIRE].[102] ATLAS collaboration, Measurement of the tau lepton reconstruction and identificationperformance in the ATLAS experiment using pp collisions at√s = 13TeV,ATLAS-CONF-2017-029, CERN, Geneva, Switzerland (2017).[103] ATLAS collaboration, Measurement of the inelastic proton-proton cross section at√s = 13TeV with the ATLAS detector at the LHC, Phys. Rev. Lett. 117 (2016) 182002[arXiv:1606.02625] [INSPIRE].[104] ATLAS collaboration, Formulae for estimating significance, ATL-PHYS-PUB-2020-025,CERN, Geneva, Switzerland (2020).[105] A.L. Read, Presentation of search results: the CLs technique, J. Phys. G 28 (2002) 2693[INSPIRE].[106] ATLAS collaboration, Evaluating statistical uncertainties and correlations using thebootstrap method, ATL-PHYS-PUB-2021-011, CERN, Geneva, Switzerland (2021).[107] ATLAS collaboration, ATLAS computing acknowledgements, ATL-SOFT-PUB-2021-003,CERN, Geneva, Switzerland (2021).– 31 –JHEP07(2023)176The ATLAS collaborationG. Aad 102, B. Abbott 120, K. Abeling 55, S.H. Abidi 29, A. Aboulhorma 35e,H. Abramowicz 151, H. Abreu 150, Y. Abulaiti 117, A.C. Abusleme Hoffman 137a,B.S. Acharya 69a,69b,o, C. Adam Bourdarios 4, L. Adamczyk 85a, L. Adamek 155,S.V. Addepalli 26, J. Adelman 115, A. Adiguzel 21c, S. Adorni 56, T. Adye 134,A.A. Affolder 136, Y. Afik 36, M.N. Agaras 13, J. Agarwala 73a,73b, A. Aggarwal 100,C. Agheorghiesei 27c, J.A. Aguilar-Saavedra 130f , A. Ahmad 36, F. Ahmadov 38,y,W.S. Ahmed 104, S. Ahuja 95, X. Ai 48, G. Aielli 76a,76b, M. Ait Tamlihat 35e,B. Aitbenchikh 35a, I. Aizenberg 168, M. Akbiyik 100, T.P.A. Åkesson 98, A.V. Akimov 37,K. Al Khoury 41, G.L. Alberghi 23b, J. Albert 164, P. Albicocco 53, S. Alderweireldt 52,M. Aleksa 36, I.N. Aleksandrov 38, C. Alexa 27b, T. Alexopoulos 10, A. Alfonsi 114,F. Alfonsi 23b, M. Alhroob 120, B. Ali 132, S. Ali 148, M. Aliev 37, G. Alimonti 71a,W. Alkakhi 55, C. Allaire 66, B.M.M. Allbrooke 146, C.A. Allendes Flores 137f ,P.P. Allport 20, A. Aloisio 72a,72b, F. Alonso 90, C. Alpigiani 138, M. Alvarez Estevez 99,A. Alvarez Fernandez 100, M.G. Alviggi 72a,72b, M. Aly 101, Y. Amaral Coutinho 82b,A. Ambler 104, C. Amelung36, M. Amerl 101, C.G. Ames 109, D. Amidei 106,S.P. Amor Dos Santos 130a, K.R. Amos 162, V. Ananiev 125, C. Anastopoulos 139,T. Andeen 11, J.K. Anders 36, S.Y. Andrean 47a,47b, A. Andreazza 71a,71b, S. Angelidakis 9,A. Angerami 41,aa, A.V. Anisenkov 37, A. Annovi 74a, C. Antel 56, M.T. Anthony 139,E. Antipov 145, M. Antonelli 53, D.J.A. Antrim 17a, F. Anulli 75a, M. Aoki 83, T. Aoki 153,J.A. Aparisi Pozo 162, M.A. Aparo 146, L. Aperio Bella 48, C. Appelt 18, N. Aranzabal 36,V. Araujo Ferraz 82a, C. Arcangeletti 53, A.T.H. Arce 51, E. Arena 92, J-F. Arguin 108,S. Argyropoulos 54, J.-H. Arling 48, A.J. Armbruster 36, O. Arnaez 4, H. Arnold 114,Z.P. Arrubarrena Tame109, G. Artoni 75a,75b, H. Asada 111, K. Asai 118, S. Asai 153,N.A. Asbah 61, J. Assahsah 35d, K. Assamagan 29, R. Astalos 28a, R.J. Atkin 33a,M. Atkinson161, N.B. Atlay 18, H. Atmani62b, P.A. Atmasiddha 106, K. Augsten 132,S. Auricchio 72a,72b, A.D. Auriol 20, V.A. Austrup 170, G. Avner 150, G. Avolio 36,K. Axiotis 56, G. Azuelos 108,ac, D. Babal 28a, H. Bachacou 135, K. Bachas 152,q,A. Bachiu 34, F. Backman 47a,47b, A. Badea 61, P. Bagnaia 75a,75b, M. Bahmani 18,A.J. Bailey 162, V.R. Bailey 161, J.T. Baines 134, C. Bakalis 10, O.K. Baker 171,E. Bakos 15, D. Bakshi Gupta 8, R. Balasubramanian 114, E.M. Baldin 37, P. Balek 133,E. Ballabene 71a,71b, F. Balli 135, L.M. Baltes 63a, W.K. Balunas 32, J. Balz 100,E. Banas 86, M. Bandieramonte 129, A. Bandyopadhyay 24, S. Bansal 24, L. Barak 151,E.L. Barberio 105, D. Barberis 57b,57a, M. Barbero 102, G. Barbour96, K.N. Barends 33a,T. Barillari 110, M-S. Barisits 36, T. Barklow 143, P. Baron 122, D.A. Baron Moreno 101,A. Baroncelli 62a, G. Barone 29, A.J. Barr 126, L. Barranco Navarro 47a,47b, F. Barreiro 99,J. Barreiro Guimarães da Costa 14a, U. Barron 151, M.G. Barros Teixeira 130a, S. Barsov 37,F. Bartels 63a, R. Bartoldus 143, A.E. Barton 91, P. Bartos 28a, A. Basan 100, M. Baselga 49,I. Bashta 77a,77b, A. Bassalat 66,ah, M.J. Basso 155, C.R. Basson 101, R.L. Bates 59,S. Batlamous35e, J.R. Batley 32, B. Batool 141, M. Battaglia 136, D. Battulga 18,M. Bauce 75a,75b, P. Bauer 24, J.B. Beacham 51, T. Beau 127, P.H. Beauchemin 158,F. Becherer 54, P. Bechtle 24, H.P. Beck 19,p, K. Becker 166, A.J. Beddall 21d,– 32 –JHEP07(2023)176V.A. Bednyakov 38, C.P. Bee 145, L.J. Beemster15, T.A. Beermann 36, M. Begalli 82d,82d,M. Begel 29, A. Behera 145, J.K. Behr 48, C. Beirao Da Cruz E Silva 36, J.F. Beirer 55,36,F. Beisiegel 24, M. Belfkir 116b, G. Bella 151, L. Bellagamba 23b, A. Bellerive 34,P. Bellos 20, K. Beloborodov 37, N.L. Belyaev 37, D. Benchekroun 35a, F. Bendebba 35a,Y. Benhammou 151, M. Benoit 29, J.R. Bensinger 26, S. Bentvelsen 114, L. Beresford 36,M. Beretta 53, E. Bergeaas Kuutmann 160, N. Berger 4, B. Bergmann 132, J. Beringer 17a,S. Berlendis 7, G. Bernardi 5, C. Bernius 143, F.U. Bernlochner 24, T. Berry 95,P. Berta 133, A. Berthold 50, I.A. Bertram 91, S. Bethke 110, A. Betti 75a,75b, A.J. Bevan 94,M. Bhamjee 33c, S. Bhatta 145, D.S. Bhattacharya 165, P. Bhattarai 26, V.S. Bhopatkar 121,R. Bi29,af , R.M. Bianchi 129, O. Biebel 109, R. Bielski 123, M. Biglietti 77a,T.R.V. Billoud 132, M. Bindi 55, A. Bingul 21b, C. Bini 75a,75b, A. Biondini 92,C.J. Birch-sykes 101, G.A. Bird 20,134, M. Birman 168, M. Biros 133, T. Bisanz 36,E. Bisceglie 43b,43a, D. Biswas 169, A. Bitadze 101, K. Bjørke 125, I. Bloch 48, C. Blocker 26,A. Blue 59, U. Blumenschein 94, J. Blumenthal 100, G.J. Bobbink 114, V.S. Bobrovnikov 37,M. Boehler 54, D. Bogavac 36, A.G. Bogdanchikov 37, C. Bohm 47a, V. Boisvert 95,P. Bokan 48, T. Bold 85a, M. Bomben 5, M. Bona 94, M. Boonekamp 135, C.D. Booth 95,A.G. Borbély 59, H.M. Borecka-Bielska 108, L.S. Borgna 96, G. Borissov 91, D. Bortoletto 126,D. Boscherini 23b, M. Bosman 13, J.D. Bossio Sola 36, K. Bouaouda 35a, N. Bouchhar 162,J. Boudreau 129, E.V. Bouhova-Thacker 91, D. Boumediene 40, R. Bouquet 5, A. Boveia 119,J. Boyd 36, D. Boye 29, I.R. Boyko 38, J. Bracinik 20, N. Brahimi 62d, G. Brandt 170,O. Brandt 32, F. Braren 48, B. Brau 103, J.E. Brau 123, K. Brendlinger 48, R. Brener 168,L. Brenner 114, R. Brenner 160, S. Bressler 168, D. Britton 59, D. Britzger 110, I. Brock 24,G. Brooijmans 41, W.K. Brooks 137f , E. Brost 29, L.M. Brown 164, T.L. Bruckler 126,P.A. Bruckman de Renstrom 86, B. Brüers 48, D. Bruncko 28b,∗, A. Bruni 23b, G. Bruni 23b,M. Bruschi 23b, N. Bruscino 75a,75b, T. Buanes 16, Q. Buat 138, A.G. Buckley 59,I.A. Budagov 38,∗, M.K. Bugge 125, O. Bulekov 37, B.A. Bullard 143, S. Burdin 92,C.D. Burgard 49, A.M. Burger 40, B. Burghgrave 8, J.T.P. Burr 32, C.D. Burton 11,J.C. Burzynski 142, E.L. Busch 41, V. Büscher 100, P.J. Bussey 59, J.M. Butler 25,C.M. Buttar 59, J.M. Butterworth 96, W. Buttinger 134, C.J. Buxo Vazquez107,A.R. Buzykaev 37, G. Cabras 23b, S. Cabrera Urbán 162, D. Caforio 58, H. Cai 129,Y. Cai 14a,14d, V.M.M. Cairo 36, O. Cakir 3a, N. Calace 36, P. Calafiura 17a,G. Calderini 127, P. Calfayan 68, G. Callea 59, L.P. Caloba82b, D. Calvet 40, S. Calvet 40,T.P. Calvet 102, M. Calvetti 74a,74b, R. Camacho Toro 127, S. Camarda 36,D. Camarero Munoz 26, P. Camarri 76a,76b, M.T. Camerlingo 72a,72b, D. Cameron 125,C. Camincher 164, M. Campanelli 96, A. Camplani 42, V. Canale 72a,72b, A. Canesse 104,M. Cano Bret 80, J. Cantero 162, Y. Cao 161, F. Capocasa 26, M. Capua 43b,43a,A. Carbone 71a,71b, R. Cardarelli 76a, J.C.J. Cardenas 8, F. Cardillo 162, T. Carli 36,G. Carlino 72a, J.I. Carlotto 13, B.T. Carlson 129,r, E.M. Carlson 164,156a,L. Carminati 71a,71b, M. Carnesale 75a,75b, S. Caron 113, E. Carquin 137f , S. Carrá 71a,71b,G. Carratta 23b,23a, F. Carrio Argos 33g, J.W.S. Carter 155, T.M. Carter 52,M.P. Casado 13,i, A.F. Casha155, M. Caspar 48, E.G. Castiglia 171, F.L. Castillo 63a,L. Castillo Garcia 13, V. Castillo Gimenez 162, N.F. Castro 130a,130e, A. Catinaccio 36,J.R. Catmore 125, V. Cavaliere 29, N. Cavalli 23b,23a, V. Cavasinni 74a,74b, E. Celebi 21a,– 33 –JHEP07(2023)176F. Celli 126, M.S. Centonze 70a,70b, K. Cerny 122, A.S. Cerqueira 82a, A. Cerri 146,L. Cerrito 76a,76b, F. Cerutti 17a, A. Cervelli 23b, G. Cesarini 53, S.A. Cetin 21d,Z. Chadi 35a, D. Chakraborty 115, M. Chala 130f , J. Chan 169, W.Y. Chan 153,J.D. Chapman 32, B. Chargeishvili 149b, D.G. Charlton 20, T.P. Charman 94,M. Chatterjee 19, S. Chekanov 6, S.V. Chekulaev 156a, G.A. Chelkov 38,a, A. Chen 106,B. Chen 151, B. Chen 164, H. Chen 14c, H. Chen 29, J. Chen 62c, J. Chen 142, S. Chen 153,S.J. Chen 14c, X. Chen 62c, X. Chen 14b,ab, Y. Chen 62a, C.L. Cheng 169, H.C. Cheng 64a,S. Cheong 143, A. Cheplakov 38, E. Cheremushkina 48, E. Cherepanova 114,R. Cherkaoui El Moursli 35e, E. Cheu 7, K. Cheung 65, L. Chevalier 135, V. Chiarella 53,G. Chiarelli 74a, N. Chiedde 102, G. Chiodini 70a, A.S. Chisholm 20, A. Chitan 27b,M. Chitishvili 162, M.V. Chizhov 38, K. Choi 11, A.R. Chomont 75a,75b, Y. Chou 103,E.Y.S. Chow 114, T. Chowdhury 33g, L.D. Christopher 33g, K.L. Chu64a, M.C. Chu 64a,X. Chu 14a,14d, J. Chudoba 131, J.J. Chwastowski 86, D. Cieri 110, K.M. Ciesla 85a,V. Cindro 93, A. Ciocio 17a, F. Cirotto 72a,72b, Z.H. Citron 168,l, M. Citterio 71a,D.A. Ciubotaru27b, B.M. Ciungu 155, A. Clark 56, P.J. Clark 52, J.M. Clavijo Columbie 48,S.E. Clawson 101, C. Clement 47a,47b, J. Clercx 48, L. Clissa 23b,23a, Y. Coadou 102,M. Cobal 69a,69c, A. Coccaro 57b, R.F. Coelho Barrue 130a, R. Coelho Lopes De Sa 103,S. Coelli 71a, H. Cohen 151, A.E.C. Coimbra 71a,71b, B. Cole 41, J. Collot 60,P. Conde Muiño 130a,130g, M.P. Connell 33c, S.H. Connell 33c, I.A. Connelly 59,E.I. Conroy 126, F. Conventi 72a,ad, H.G. Cooke 20, A.M. Cooper-Sarkar 126, F. Cormier 163,L.D. Corpe 36, M. Corradi 75a,75b, F. Corriveau 104,w, A. Cortes-Gonzalez 18, M.J. Costa 162,F. Costanza 4, D. Costanzo 139, B.M. Cote 119, G. Cowan 95, J.W. Cowley 32,K. Cranmer 117, S. Crépé-Renaudin 60, F. Crescioli 127, M. Cristinziani 141,M. Cristoforetti 78a,78b,c, V. Croft 114, G. Crosetti 43b,43a, A. Cueto 36,T. Cuhadar Donszelmann 159, H. Cui 14a,14d, Z. Cui 7, W.R. Cunningham 59,F. Curcio 43b,43a, P. Czodrowski 36, M.M. Czurylo 63b, M.J. Da Cunha Sargedas De Sousa 62a,J.V. Da Fonseca Pinto 82b, C. Da Via 101, W. Dabrowski 85a, T. Dado 49, S. Dahbi 33g,T. Dai 106, C. Dallapiccola 103, M. Dam 42, G. D’amen 29, V. D’Amico 109, J. Damp 100,J.R. Dandoy 128, M.F. Daneri 30, M. Danninger 142, V. Dao 36, G. Darbo 57b,S. Darmora 6, S.J. Das 29,af , S. D’Auria 71a,71b, C. David 156b, T. Davidek 133,B. Davis-Purcell 34, I. Dawson 94, K. De 8, R. De Asmundis 72a, N. De Biase 48,S. De Castro 23b,23a, N. De Groot 113, P. de Jong 114, H. De la Torre 107, A. De Maria 14c,A. De Salvo 75a, U. De Sanctis 76a,76b, A. De Santo 146, J.B. De Vivie De Regie 60,D.V. Dedovich38, J. Degens 114, A.M. Deiana 44, F. Del Corso 23b,23a, J. Del Peso 99,F. Del Rio 63a, F. Deliot 135, C.M. Delitzsch 49, M. Della Pietra 72a,72b, D. Della Volpe 56,A. Dell’Acqua 36, L. Dell’Asta 71a,71b, M. Delmastro 4, P.A. Delsart 60, S. Demers 171,M. Demichev 38, S.P. Denisov 37, L. D’Eramo 115, D. Derendarz 86, F. Derue 127,P. Dervan 92, K. Desch 24, K. Dette 155, C. Deutsch 24, F.A. Di Bello 57b,57a,A. Di Ciaccio 76a,76b, L. Di Ciaccio 4, A. Di Domenico 75a,75b, C. Di Donato 72a,72b,A. Di Girolamo 36, G. Di Gregorio 5, A. Di Luca 78a,78b, B. Di Micco 77a,77b,R. Di Nardo 77a,77b, C. Diaconu 102, F.A. Dias 114, T. Dias Do Vale 142, M.A. Diaz 137a,137b,F.G. Diaz Capriles 24, M. Didenko 162, E.B. Diehl 106, L. Diehl 54, S. Díez Cornell 48,C. Diez Pardos 141, C. Dimitriadi 24,160, A. Dimitrievska 17a, J. Dingfelder 24, I-M. Dinu 27b,– 34 –JHEP07(2023)176S.J. Dittmeier 63b, F. Dittus 36, F. Djama 102, T. Djobava 149b, J.I. Djuvsland 16,C. Doglioni 101,98, J. Dolejsi 133, Z. Dolezal 133, M. Donadelli 82c, B. Dong 107,J. Donini 40, A. D’Onofrio 77a,77b, M. D’Onofrio 92, J. Dopke 134, A. Doria 72a,M.T. Dova 90, A.T. Doyle 59, M.A. Draguet 126, E. Drechsler 142, E. Dreyer 168,I. Drivas-koulouris 10, A.S. Drobac 158, M. Drozdova 56, D. Du 62a, T.A. du Pree 114,F. Dubinin 37, M. Dubovsky 28a, E. Duchovni 168, G. Duckeck 109, O.A. Ducu 27b,D. Duda 110, A. Dudarev 36, E.R. Duden 26, M. D’uffizi 101, L. Duflot 66, M. Dührssen 36,C. Dülsen 170, A.E. Dumitriu 27b, M. Dunford 63a, S. Dungs 49, K. Dunne 47a,47b,A. Duperrin 102, H. Duran Yildiz 3a, M. Düren 58, A. Durglishvili 149b, B.L. Dwyer 115,G.I. Dyckes 17a, M. Dyndal 85a, S. Dysch 101, B.S. Dziedzic 86, Z.O. Earnshaw 146,B. Eckerova 28a, S. Eggebrecht 55, M.G. Eggleston51, E. Egidio Purcino De Souza 127,L.F. Ehrke 56, G. Eigen 16, K. Einsweiler 17a, T. Ekelof 160, P.A. Ekman 98,Y. El Ghazali 35b, H. El Jarrari 35e,148, A. El Moussaouy 35a, V. Ellajosyula 160,M. Ellert 160, F. Ellinghaus 170, A.A. Elliot 94, N. Ellis 36, J. Elmsheuser 29, M. Elsing 36,D. Emeliyanov 134, Y. Enari 153, I. Ene 17a, S. Epari 13, J. Erdmann 49, P.A. Erland 86,M. Errenst 170, M. Escalier 66, C. Escobar 162, E. Etzion 151, G. Evans 130a, H. Evans 68,M.O. Evans 146, A. Ezhilov 37, S. Ezzarqtouni 35a, F. Fabbri 59, L. Fabbri 23b,23a,G. Facini 96, V. Fadeyev 136, R.M. Fakhrutdinov 37, S. Falciano 75a,L.F. Falda Ulhoa Coelho 36, P.J. Falke 24, S. Falke 36, J. Faltova 133, Y. Fan 14a,Y. Fang 14a,14d, M. Fanti 71a,71b, M. Faraj 69a,69b, Z. Farazpay97, A. Farbin 8, A. Farilla 77a,T. Farooque 107, S.M. Farrington 52, F. Fassi 35e, D. Fassouliotis 9,M. Faucci Giannelli 76a,76b, W.J. Fawcett 32, L. Fayard 66, P. Federic 133, P. Federicova 131,O.L. Fedin 37,a, G. Fedotov 37, M. Feickert 169, L. Feligioni 102, A. Fell 139, D.E. Fellers 123,C. Feng 62b, M. Feng 14b, Z. Feng 114, M.J. Fenton 159, A.B. Fenyuk37, L. Ferencz 48,R.A.M. Ferguson 91, S.I. Fernandez Luengo 137f , J. Pretel 54, J. Ferrando 48, A. Ferrari 160,P. Ferrari 114,113, R. Ferrari 73a, D. Ferrere 56, C. Ferretti 106, F. Fiedler 100, A. Filipčič 93,E.K. Filmer 1, F. Filthaut 113, M.C.N. Fiolhais 130a,130c,b, L. Fiorini 162, F. Fischer 141,W.C. Fisher 107, T. Fitschen 101, I. Fleck 141, P. Fleischmann 106, T. Flick 170,L. Flores 128, M. Flores 33d,aj , L.R. Flores Castillo 64a, F.M. Follega 78a,78b, N. Fomin 16,J.H. Foo 155, B.C. Forland68, A. Formica 135, A.C. Forti 101, E. Fortin 102, A.W. Fortman 61,M.G. Foti 17a, L. Fountas 9,j , D. Fournier 66, H. Fox 91, P. Francavilla 74a,74b,S. Francescato 61, S. Franchellucci 56, M. Franchini 23b,23a, S. Franchino 63a, D. Francis36,L. Franco 113, L. Franconi 19, M. Franklin 61, G. Frattari 26, A.C. Freegard 94,W.S. Freund 82b, Y.Y. Frid 151, N. Fritzsche 50, A. Froch 54, D. Froidevaux 36,J.A. Frost 126, Y. Fu 62a, M. Fujimoto 118, E. Fullana Torregrosa 162,∗, J. Fuster 162,A. Gabrielli 23b,23a, A. Gabrielli 155, P. Gadow 48, G. Gagliardi 57b,57a, L.G. Gagnon 17a,G.E. Gallardo 126, E.J. Gallas 126, B.J. Gallop 134, R. Gamboa Goni 94, K.K. Gan 119,S. Ganguly 153, J. Gao 62a, Y. Gao 52, F.M. Garay Walls 137a,137b, B. Garcia29,af ,C. García 162, J.E. García Navarro 162, M. Garcia-Sciveres 17a, R.W. Gardner 39,D. Garg 80, R.B. Garg 143,am, C.A. Garner155, S.J. Gasiorowski 138, P. Gaspar 82b,G. Gaudio 73a, V. Gautam13, P. Gauzzi 75a,75b, I.L. Gavrilenko 37, A. Gavrilyuk 37,C. Gay 163, G. Gaycken 48, E.N. Gazis 10, A.A. Geanta 27b,27e, C.M. Gee 136,C. Gemme 57b, M.H. Genest 60, S. Gentile 75a,75b, S. George 95, W.F. George 20,– 35 –JHEP07(2023)176T. Geralis 46, L.O. Gerlach55, P. Gessinger-Befurt 36, M.E. Geyik 170, M. Ghneimat 141,K. Ghorbanian 94, A. Ghosal 141, A. Ghosh 159, A. Ghosh 7, B. Giacobbe 23b,S. Giagu 75a,75b, P. Giannetti 74a, A. Giannini 62a, S.M. Gibson 95, M. Gignac 136,D.T. Gil 85b, A.K. Gilbert 85a, B.J. Gilbert 41, D. Gillberg 34, G. Gilles 114,N.E.K. Gillwald 48, L. Ginabat 127, D.M. Gingrich 2,ac, M.P. Giordani 69a,69c,P.F. Giraud 135, G. Giugliarelli 69a,69c, D. Giugni 71a, F. Giuli 36, I. Gkialas 9,j ,L.K. Gladilin 37, C. Glasman 99, G.R. Gledhill 123, M. Glisic123, I. Gnesi 43b,f , Y. Go 29,af ,M. Goblirsch-Kolb 26, B. Gocke 49, D. Godin108, B. Gokturk21a, S. Goldfarb 105,T. Golling 56, M.G.D. Gololo33g, D. Golubkov 37, J.P. Gombas 107, A. Gomes 130a,130b,G. Gomes Da Silva 141, A.J. Gomez Delegido 162, R. Gonçalo 130a,130c, G. Gonella 123,L. Gonella 20, A. Gongadze 38, F. Gonnella 20, J.L. Gonski 41, S. González de la Hoz 162,S. Gonzalez Fernandez 13, R. Gonzalez Lopez 92, C. Gonzalez Renteria 17a,R. Gonzalez Suarez 160, S. Gonzalez-Sevilla 56, G.R. Gonzalvo Rodriguez 162,R.Y. González Andana 52, L. Goossens 36, P.A. Gorbounov 37, B. Gorini 36,E. Gorini 70a,70b, A. Gorišek 93, A.T. Goshaw 51, M.I. Gostkin 38, S. Goswami 121,C.A. Gottardo 36, M. Gouighri 35b, V. Goumarre 48, A.G. Goussiou 138, N. Govender 33c,I. Grabowska-Bold 85a, K. Graham 34, E. Gramstad 125, S. Grancagnolo 18, M. Grandi 146,V. Gratchev37,∗, P.M. Gravila 27f , F.G. Gravili 70a,70b, H.M. Gray 17a, M. Greco 70a,70b,C. Grefe 24, I.M. Gregor 48, P. Grenier 143, C. Grieco 13, A.A. Grillo 136, K. Grimm 31,m,S. Grinstein 13,t, J.-F. Grivaz 66, E. Gross 168, J. Grosse-Knetter 55, C. Grud106,J.C. Grundy 126, L. Guan 106, W. Guan 169, C. Gubbels 163, J.G.R. Guerrero Rojas 162,G. Guerrieri 69a,69b, F. Guescini 110, R. Gugel 100, J.A.M. Guhit 106, A. Guida 48,T. Guillemin 4, E. Guilloton 166,134, S. Guindon 36, F. Guo 14a,14d, J. Guo 62c, L. Guo 66,Y. Guo 106, R. Gupta 48, S. Gurbuz 24, S.S. Gurdasani 54, G. Gustavino 36, M. Guth 56,P. Gutierrez 120, L.F. Gutierrez Zagazeta 128, C. Gutschow 96, C. Gwenlan 126,C.B. Gwilliam 92, E.S. Haaland 125, A. Haas 117, M. Habedank 48, C. Haber 17a,H.K. Hadavand 8, A. Hadef 100, S. Hadzic 110, E.H. Haines 96, M. Haleem 165, J. Haley 121,J.J. Hall 139, G.D. Hallewell 102, L. Halser 19, K. Hamano 164, H. Hamdaoui 35e,M. Hamer 24, G.N. Hamity 52, E.J. Hampshire 95, J. Han 62b, K. Han 62a, L. Han 14c,L. Han 62a, S. Han 17a, Y.F. Han 155, K. Hanagaki 83, M. Hance 136, D.A. Hangal 41,aa,H. Hanif 142, M.D. Hank 128, R. Hankache 101, J.B. Hansen 42, J.D. Hansen 42,P.H. Hansen 42, K. Hara 157, D. Harada 56, T. Harenberg 170, S. Harkusha 37,Y.T. Harris 126, N.M. Harrison 119, P.F. Harrison166, N.M. Hartman 143, N.M. Hartmann 109,Y. Hasegawa 140, A. Hasib 52, S. Haug 19, R. Hauser 107, M. Havranek 132,C.M. Hawkes 20, R.J. Hawkings 36, S. Hayashida 111, D. Hayden 107, C. Hayes 106,R.L. Hayes 114, C.P. Hays 126, J.M. Hays 94, H.S. Hayward 92, F. He 62a, Y. He 154,Y. He 127, N.B. Heatley 94, V. Hedberg 98, A.L. Heggelund 125, N.D. Hehir 94,C. Heidegger 54, K.K. Heidegger 54, W.D. Heidorn 81, J. Heilman 34, S. Heim 48,T. Heim 17a, J.G. Heinlein 128, J.J. Heinrich 123, L. Heinrich 110,ak, J. Hejbal 131,L. Helary 48, A. Held 169, S. Hellesund 125, C.M. Helling 163, S. Hellman 47a,47b,C. Helsens 36, R.C.W. Henderson91, L. Henkelmann 32, A.M. Henriques Correia36, H. Herde 98,Y. Hernández Jiménez 145, L.M. Herrmann 24, T. Herrmann 50, G. Herten 54,R. Hertenberger 109, L. Hervas 36, N.P. Hessey 156a, H. Hibi 84, S.J. Hillier 20,– 36 –JHEP07(2023)176F. Hinterkeuser 24, M. Hirose 124, S. Hirose 157, D. Hirschbuehl 170, T.G. Hitchings 101,B. Hiti 93, J. Hobbs 145, R. Hobincu 27e, N. Hod 168, M.C. Hodgkinson 139,B.H. Hodkinson 32, A. Hoecker 36, J. Hofer 48, T. Holm 24, M. Holzbock 110,L.B.A.H. Hommels 32, B.P. Honan 101, J. Hong 62c, T.M. Hong 129, J.C. Honig 54,B.H. Hooberman 161, W.H. Hopkins 6, Y. Horii 111, S. Hou 148, A.S. Howard 93,J. Howarth 59, J. Hoya 6, M. Hrabovsky 122, A. Hrynevich 48, T. Hryn’ova 4, P.J. Hsu 65,S.-C. Hsu 138, Q. Hu 41, Y.F. Hu 14a,14d,ae, D.P. Huang 96, S. Huang 64b, X. Huang 14c,Y. Huang 62a, Y. Huang 14a, Z. Huang 101, Z. Hubacek 132, M. Huebner 24, F. Huegging 24,T.B. Huffman 126, M. Huhtinen 36, S.K. Huiberts 16, R. Hulsken 104, N. Huseynov 12,a,J. Huston 107, J. Huth 61, R. Hyneman 143, G. Iacobucci 56, G. Iakovidis 29,I. Ibragimov 141, L. Iconomidou-Fayard 66, P. Iengo 72a,72b, R. Iguchi 153, T. Iizawa 56,Y. Ikegami 83, A. Ilg 19, N. Ilic 155, H. Imam 35a, T. Ingebretsen Carlson 47a,47b,G. Introzzi 73a,73b, M. Iodice 77a, V. Ippolito 75a,75b, M. Ishino 153, W. Islam 169,C. Issever 18,48, S. Istin 21a,al, H. Ito 167, J.M. Iturbe Ponce 64a, R. Iuppa 78a,78b,A. Ivina 168, J.M. Izen 45, V. Izzo 72a, P. Jacka 131,132, P. Jackson 1, R.M. Jacobs 48,B.P. Jaeger 142, C.S. Jagfeld 109, P. Jain 54, G. Jäkel 170, K. Jakobs 54, T. Jakoubek 168,J. Jamieson 59, K.W. Janas 85a, A.E. Jaspan 92, M. Javurkova 103, F. Jeanneau 135,L. Jeanty 123, J. Jejelava 149a,z, P. Jenni 54,g, C.E. Jessiman 34, S. Jézéquel 4, C. Jia62b,J. Jia 145, X. Jia 61, X. Jia 14a,14d, Z. Jia 14c, Y. Jiang62a, S. Jiggins 48,J. Jimenez Pena 110, S. Jin 14c, A. Jinaru 27b, O. Jinnouchi 154, P. Johansson 139,K.A. Johns 7, J.W. Johnson 136, D.M. Jones 32, E. Jones 166, P. Jones 32, R.W.L. Jones 91,T.J. Jones 92, R. Joshi 119, J. Jovicevic 15, X. Ju 17a, J.J. Junggeburth 36,T. Junkermann 63a, A. Juste Rozas 13,t, S. Kabana 137e, A. Kaczmarska 86, M. Kado 110,H. Kagan 119, M. Kagan 143, A. Kahn41, A. Kahn 128, C. Kahra 100, T. Kaji 167,E. Kajomovitz 150, N. Kakati 168, C.W. Kalderon 29, A. Kamenshchikov 155,S. Kanayama 154, N.J. Kang 136, D. Kar 33g, K. Karava 126, M.J. Kareem 156b,E. Karentzos 54, I. Karkanias 152,e, S.N. Karpov 38, Z.M. Karpova 38, V. Kartvelishvili 91,A.N. Karyukhin 37, E. Kasimi 152,e, J. Katzy 48, S. Kaur 34, K. Kawade 140,T. Kawamoto 135, G. Kawamura55, E.F. Kay 164, F.I. Kaya 158, S. Kazakos 13,V.F. Kazanin 37, Y. Ke 145, J.M. Keaveney 33a, R. Keeler 164, G.V. Kehris 61,J.S. Keller 34, A.S. Kelly96, D. Kelsey 146, J.J. Kempster 146, K.E. Kennedy 41,P.D. Kennedy 100, O. Kepka 131, B.P. Kerridge 166, S. Kersten 170, B.P. Kerševan 93,S. Keshri 66, L. Keszeghova 28a, S. Ketabchi Haghighat 155, M. Khandoga 127,A. Khanov 121, A.G. Kharlamov 37, T. Kharlamova 37, E.E. Khoda 138, T.J. Khoo 18,G. Khoriauli 165, J. Khubua 149b, Y.A.R. Khwaira 66, M. Kiehn 36, A. Kilgallon 123,D.W. Kim 47a,47b, E. Kim 154, Y.K. Kim 39, N. Kimura 96, A. Kirchhoff 55, C. Kirfel 24,J. Kirk 134, A.E. Kiryunin 110, T. Kishimoto 153, D.P. Kisliuk155, C. Kitsaki 10,O. Kivernyk 24, M. Klassen 63a, C. Klein 34, L. Klein 165, M.H. Klein 106, M. Klein 92,S.B. Klein 56, U. Klein 92, P. Klimek 36, A. Klimentov 29, F. Klimpel 110,T. Klioutchnikova 36, P. Kluit 114, S. Kluth 110, E. Kneringer 79, T.M. Knight 155,A. Knue 54, R. Kobayashi 87, M. Kocian 143, P. Kodyš 133, D.M. Koeck 146, P.T. Koenig 24,T. Koffas 34, M. Kolb 135, I. Koletsou 4, T. Komarek 122, K. Köneke 54, A.X.Y. Kong 1,T. Kono 118, N. Konstantinidis 96, B. Konya 98, R. Kopeliansky 68, S. Koperny 85a,– 37 –JHEP07(2023)176K. Korcyl 86, K. Kordas 152,e, G. Koren 151, A. Korn 96, S. Korn 55, I. Korolkov 13,N. Korotkova 37, B. Kortman 114, O. Kortner 110, S. Kortner 110, W.H. Kostecka 115,V.V. Kostyukhin 141, A. Kotsokechagia 135, A. Kotwal 51, A. Koulouris 36,A. Kourkoumeli-Charalampidi 73a,73b, C. Kourkoumelis 9, E. Kourlitis 6, O. Kovanda 146,R. Kowalewski 164, W. Kozanecki 135, A.S. Kozhin 37, V.A. Kramarenko 37,G. Kramberger 93, P. Kramer 100, M.W. Krasny 127, A. Krasznahorkay 36, J.A. Kremer 100,T. Kresse 50, J. Kretzschmar 92, K. Kreul 18, P. Krieger 155, S. Krishnamurthy 103,M. Krivos 133, K. Krizka 20, K. Kroeninger 49, H. Kroha 110, J. Kroll 131, J. Kroll 128,K.S. Krowpman 107, U. Kruchonak 38, H. Krüger 24, N. Krumnack81, M.C. Kruse 51,J.A. Krzysiak 86, O. Kuchinskaia 37, S. Kuday 3a, S. Kuehn 36, R. Kuesters 54, T. Kuhl 48,V. Kukhtin 38, Y. Kulchitsky 37,a, S. Kuleshov 137d,137b, M. Kumar 33g, N. Kumari 102,A. Kupco 131, T. Kupfer49, A. Kupich 37, O. Kuprash 54, H. Kurashige 84,L.L. Kurchaninov 156a, Y.A. Kurochkin 37, A. Kurova 37, M. Kuze 154, A.K. Kvam 103,J. Kvita 122, T. Kwan 104, N.G. Kyriacou 106, L.A.O. Laatu 102, C. Lacasta 162,F. Lacava 75a,75b, H. Lacker 18, D. Lacour 127, N.N. Lad 96, E. Ladygin 38, B. Laforge 127,T. Lagouri 137e, S. Lai 55, I.K. Lakomiec 85a, N. Lalloue 60, J.E. Lambert 120,S. Lammers 68, W. Lampl 7, C. Lampoudis 152,e, A.N. Lancaster 115, E. Lançon 29,U. Landgraf 54, M.P.J. Landon 94, V.S. Lang 54, R.J. Langenberg 103, A.J. Lankford 159,F. Lanni 36, K. Lantzsch 24, A. Lanza 73a, A. Lapertosa 57b,57a, J.F. Laporte 135,T. Lari 71a, F. Lasagni Manghi 23b, M. Lassnig 36, V. Latonova 131, A. Laudrain 100,A. Laurier 150, S.D. Lawlor 95, Z. Lawrence 101, M. Lazzaroni 71a,71b, B. Le101,E.M. Le Boulicaut 51, B. Leban 93, A. Lebedev 81, M. LeBlanc 36, F. Ledroit-Guillon 60,A.C.A. Lee96, G.R. Lee 16, S.C. Lee 148, S. Lee 47a,47b, T.F. Lee 92, L.L. Leeuw 33c,H.P. Lefebvre 95, M. Lefebvre 164, C. Leggett 17a, K. Lehmann 142, G. Lehmann Miotto 36,M. Leigh 56, W.A. Leight 103, A. Leisos 152,s, M.A.L. Leite 82c, C.E. Leitgeb 48,R. Leitner 133, K.J.C. Leney 44, T. Lenz 24, S. Leone 74a, C. Leonidopoulos 52,A. Leopold 144, C. Leroy 108, R. Les 107, C.G. Lester 32, M. Levchenko 37, J. Levêque 4,D. Levin 106, L.J. Levinson 168, M.P. Lewicki 86, D.J. Lewis 4, A. Li 5, B. Li 62b, C. Li62a,C-Q. Li 62c, H. Li 62a, H. Li 62b, H. Li 14c, H. Li 62b, J. Li 62c, K. Li 138, L. Li 62c,M. Li 14a,14d, Q.Y. Li 62a, S. Li 14a,14d, S. Li 62d,62c,d, T. Li 62b, X. Li 104, Z. Li 62b,Z. Li 126, Z. Li 104, Z. Li 92, Z. Li 14a,14d, Z. Liang 14a, M. Liberatore 48, B. Liberti 76a,K. Lie 64c, J. Lieber Marin 82b, H. Lien 68, K. Lin 107, R.A. Linck 68, R.E. Lindley 7,J.H. Lindon 2, A. Linss 48, E. Lipeles 128, A. Lipniacka 16, A. Lister 163, J.D. Little 4,B. Liu 14a, B.X. Liu 142, D. Liu 62d,62c, J.B. Liu 62a, J.K.K. Liu 32, K. Liu 62d,62c,M. Liu 62a, M.Y. Liu 62a, P. Liu 14a, Q. Liu 62d,138,62c, X. Liu 62a, Y. Liu 14c,14d,Y.L. Liu 106, Y.W. Liu 62a, J. Llorente Merino 142, S.L. Lloyd 94, E.M. Lobodzinska 48,P. Loch 7, S. Loffredo 76a,76b, T. Lohse 18, K. Lohwasser 139, E. Loiacono 48,M. Lokajicek 131, J.D. Long 161, I. Longarini 159, L. Longo 70a,70b, R. Longo 161,I. Lopez Paz 67, A. Lopez Solis 48, J. Lorenz 109, N. Lorenzo Martinez 4, A.M. Lory 109,X. Lou 47a,47b, X. Lou 14a,14d, A. Lounis 66, J. Love 6, P.A. Love 91, G. Lu 14a,14d,M. Lu 80, S. Lu 128, Y.J. Lu 65, H.J. Lubatti 138, C. Luci 75a,75b, F.L. Lucio Alves 14c,A. Lucotte 60, F. Luehring 68, I. Luise 145, O. Lukianchuk 66, O. Lundberg 144,B. Lund-Jensen 144, N.A. Luongo 123, M.S. Lutz 151, D. Lynn 29, H. Lyons92, R. Lysak 131,– 38 –JHEP07(2023)176E. Lytken 98, V. Lyubushkin 38, T. Lyubushkina 38, M.M. Lyukova 145, H. Ma 29,L.L. Ma 62b, Y. Ma 96, D.M. Mac Donell 164, G. Maccarrone 53, J.C. MacDonald 139,R. Madar 40, W.F. Mader 50, J. Maeda 84, T. Maeno 29, M. Maerker 50, H. Maguire 139,A. Maio 130a,130b,130d, K. Maj 85a, O. Majersky 48, S. Majewski 123, N. Makovec 66,V. Maksimovic 15, B. Malaescu 127, Pa. Malecki 86, V.P. Maleev 37, F. Malek 60,D. Malito 43b,43a, U. Mallik 80, C. Malone 32, S. Maltezos10, S. Malyukov38, J. Mamuzic 13,G. Mancini 53, G. Manco 73a,73b, J.P. Mandalia 94, I. Mandić 93,L. Manhaes de Andrade Filho 82a, I.M. Maniatis 168, J. Manjarres Ramos 102,ai,D.C. Mankad 168, A. Mann 109, B. Mansoulie 135, S. Manzoni 36, A. Marantis 152,s,G. Marchiori 5, M. Marcisovsky 131, C. Marcon 71a,71b, M. Marinescu 20, M. Marjanovic 120,E.J. Marshall 91, Z. Marshall 17a, S. Marti-Garcia 162, T.A. Martin 166, V.J. Martin 52,B. Martin dit Latour 16, L. Martinelli 75a,75b, M. Martinez 13,t, P. Martinez Agullo 162,V.I. Martinez Outschoorn 103, P. Martinez Suarez 13, S. Martin-Haugh 134, V.S. Martoiu 27b,A.C. Martyniuk 96, A. Marzin 36, S.R. Maschek 110, D. Mascione 78a,78b, L. Masetti 100,T. Mashimo 153, J. Masik 101, A.L. Maslennikov 37, L. Massa 23b, P. Massarotti 72a,72b,P. Mastrandrea 74a,74b, A. Mastroberardino 43b,43a, T. Masubuchi 153, T. Mathisen 160,N. Matsuzawa153, J. Maurer 27b, B. Maček 93, D.A. Maximov 37, R. Mazini 148,I. Maznas 152,e, M. Mazza 107, S.M. Mazza 136, C. Mc Ginn 29, J.P. Mc Gowan 104,S.P. Mc Kee 106, E.F. McDonald 105, A.E. McDougall 114, J.A. Mcfayden 146,G. Mchedlidze 149b, R.P. Mckenzie 33g, T.C. Mclachlan 48, D.J. Mclaughlin 96,K.D. McLean 164, S.J. McMahon 134, P.C. McNamara 105, C.M. Mcpartland 92,R.A. McPherson 164,w, T. Megy 40, S. Mehlhase 109, A. Mehta 92, D. Melini 150,B.R. Mellado Garcia 33g, A.H. Melo 55, F. Meloni 48, A.M. Mendes Jacques Da Costa 101,H.Y. Meng 155, L. Meng 91, S. Menke 110, M. Mentink 36, E. Meoni 43b,43a,C. Merlassino 126, L. Merola 72a,72b, C. Meroni 71a, G. Merz106, O. Meshkov 37,J. Metcalfe 6, A.S. Mete 6, C. Meyer 68, J-P. Meyer 135, R.P. Middleton 134, L. Mijović 52,G. Mikenberg 168, M. Mikestikova 131, M. Mikuž 93, H. Mildner 139, A. Milic 36,C.D. Milke 44, D.W. Miller 39, L.S. Miller 34, A. Milov 168, D.A. Milstead47a,47b, T. Min14c,A.A. Minaenko 37, I.A. Minashvili 149b, L. Mince 59, A.I. Mincer 117, B. Mindur 85a,M. Mineev 38, Y. Mino 87, L.M. Mir 13, M. Miralles Lopez 162, M. Mironova 126,M.C. Missio 113, T. Mitani 167, A. Mitra 166, V.A. Mitsou 162, O. Miu 155,P.S. Miyagawa 94, Y. Miyazaki89, A. Mizukami 83, T. Mkrtchyan 63a, M. Mlinarevic 96,T. Mlinarevic 96, M. Mlynarikova 36, S. Mobius 55, K. Mochizuki 108, P. Moder 48,P. Mogg 109, A.F. Mohammed 14a,14d, S. Mohapatra 41, G. Mokgatitswane 33g,B. Mondal 141, S. Mondal 132, K. Mönig 48, E. Monnier 102, L. Monsonis Romero162,J. Montejo Berlingen 83, M. Montella 119, F. Monticelli 90, N. Morange 66,A.L. Moreira De Carvalho 130a, M. Moreno Llácer 162, C. Moreno Martinez 56,P. Morettini 57b, S. Morgenstern 166, M. Morii 61, M. Morinaga 153, A.K. Morley 36,F. Morodei 75a,75b, L. Morvaj 36, P. Moschovakos 36, B. Moser 36, M. Mosidze149b,T. Moskalets 54, P. Moskvitina 113, J. Moss 31,n, E.J.W. Moyse 103, O. Mtintsilana 33g,S. Muanza 102, J. Mueller 129, D. Muenstermann 91, R. Müller 19, G.A. Mullier 160,J.J. Mullin128, D.P. Mungo 155, J.L. Munoz Martinez 13, D. Munoz Perez 162,F.J. Munoz Sanchez 101, M. Murin 101, W.J. Murray 166,134, A. Murrone 71a,71b,– 39 –JHEP07(2023)176J.M. Muse 120, M. Muškinja 17a, C. Mwewa 29, A.G. Myagkov 37,a, A.J. Myers 8,A.A. Myers129, G. Myers 68, M. Myska 132, B.P. Nachman 17a, O. Nackenhorst 49,A. Nag 50, K. Nagai 126, K. Nagano 83, J.L. Nagle 29,af , E. Nagy 102, A.M. Nairz 36,Y. Nakahama 83, K. Nakamura 83, H. Nanjo 124, R. Narayan 44, E.A. Narayanan 112,I. Naryshkin 37, M. Naseri 34, C. Nass 24, G. Navarro 22a, J. Navarro-Gonzalez 162,R. Nayak 151, A. Nayaz 18, P.Y. Nechaeva 37, F. Nechansky 48, L. Nedic 126, T.J. Neep 20,A. Negri 73a,73b, M. Negrini 23b, C. Nellist 114, C. Nelson 104, K. Nelson 106,S. Nemecek 131, M. Nessi 36,h, M.S. Neubauer 161, F. Neuhaus 100, J. Neundorf 48,R. Newhouse 163, P.R. Newman 20, C.W. Ng 129, Y.W.Y. Ng 48, B. Ngair 35e,H.D.N. Nguyen 108, R.B. Nickerson 126, R. Nicolaidou 135, J. Nielsen 136, M. Niemeyer 55,N. Nikiforou 36, V. Nikolaenko 37,a, I. Nikolic-Audit 127, K. Nikolopoulos 20, P. Nilsson 29,I. Ninca 48, H.R. Nindhito 56, G. Ninio 151, A. Nisati 75a, N. Nishu 2, R. Nisius 110,J-E. Nitschke 50, E.K. Nkadimeng 33g, S.J. Noacco Rosende 90, T. Nobe 153, D.L. Noel 32,Y. Noguchi 87, T. Nommensen 147, M.A. Nomura29, M.B. Norfolk 139, R.R.B. Norisam 96,B.J. Norman 34, J. Novak 93, T. Novak 48, L. Novotny 132, R. Novotny 112, L. Nozka 122,K. Ntekas 159, N.M.J. Nunes De Moura Junior 82b, E. Nurse96, J. Ocariz 127, A. Ochi 84,I. Ochoa 130a, S. Oerdek 160, J.T. Offermann 39, A. Ogrodnik 85a, A. Oh 101,C.C. Ohm 144, H. Oide 83, R. Oishi 153, M.L. Ojeda 48, Y. Okazaki 87, M.W. O’Keefe92,Y. Okumura 153, L.F. Oleiro Seabra 130a, S.A. Olivares Pino 137d, D. Oliveira Damazio 29,D. Oliveira Goncalves 82a, J.L. Oliver 159, M.J.R. Olsson 159, A. Olszewski 86,J. Olszowska 86,∗, Ö.O. Öncel 54, D.C. O’Neil 142, A.P. O’Neill 19, A. Onofre 130a,130e,P.U.E. Onyisi 11, M.J. Oreglia 39, G.E. Orellana 90, D. Orestano 77a,77b, N. Orlando 13,R.S. Orr 155, V. O’Shea 59, R. Ospanov 62a, G. Otero y Garzon 30, H. Otono 89,P.S. Ott 63a, G.J. Ottino 17a, M. Ouchrif 35d, J. Ouellette 29, F. Ould-Saada 125,M. Owen 59, R.E. Owen 134, K.Y. Oyulmaz 21a, V.E. Ozcan 21a, N. Ozturk 8,S. Ozturk 21d, H.A. Pacey 32, K. Pachal 51, A. Pacheco Pages 13, C. Padilla Aranda 13,G. Padovano 75a,75b, S. Pagan Griso 17a, G. Palacino 68, A. Palazzo 70a,70b, S. Palestini 36,J. Pan 171, T. Pan 64a, D.K. Panchal 11, C.E. Pandini 114, J.G. Panduro Vazquez 95,H. Pang 14b, P. Pani 48, G. Panizzo 69a,69c, L. Paolozzi 56, C. Papadatos 108, S. Parajuli 44,A. Paramonov 6, C. Paraskevopoulos 10, D. Paredes Hernandez 64b, T.H. Park 155,M.A. Parker 32, F. Parodi 57b,57a, E.W. Parrish 115, V.A. Parrish 52, J.A. Parsons 41,U. Parzefall 54, B. Pascual Dias 108, L. Pascual Dominguez 151, F. Pasquali 114,E. Pasqualucci 75a, S. Passaggio 57b, F. Pastore 95, P. Pasuwan 47a,47b, P. Patel 86,U.M. Patel 51, J.R. Pater 101, T. Pauly 36, J. Pearkes 143, M. Pedersen 125, R. Pedro 130a,S.V. Peleganchuk 37, O. Penc 36, E.A. Pender52, H. Peng 62a, K.E. Penski 109, M. Penzin 37,B.S. Peralva 82d,82d, A.P. Pereira Peixoto 60, L. Pereira Sanchez 47a,47b, D.V. Perepelitsa 29,af ,E. Perez Codina 156a, M. Perganti 10, L. Perini 71a,71b,∗, H. Pernegger 36, S. Perrella 36,A. Perrevoort 113, O. Perrin 40, K. Peters 48, R.F.Y. Peters 101, B.A. Petersen 36,T.C. Petersen 42, E. Petit 102, V. Petousis 132, C. Petridou 152,e, A. Petrukhin 141,M. Pettee 17a, N.E. Pettersson 36, A. Petukhov 37, K. Petukhova 133, A. Peyaud 135,R. Pezoa 137f , L. Pezzotti 36, G. Pezzullo 171, T.M. Pham 169, T. Pham 105,P.W. Phillips 134, M.W. Phipps 161, G. Piacquadio 145, E. Pianori 17a, F. Piazza 71a,71b,R. Piegaia 30, D. Pietreanu 27b, A.D. Pilkington 101, M. Pinamonti 69a,69c, J.L. Pinfold 2,– 40 –JHEP07(2023)176B.C. Pinheiro Pereira 130a, C. Pitman Donaldson96, D.A. Pizzi 34, L. Pizzimento 76a,76b,A. Pizzini 114, M.-A. Pleier 29, V. Plesanovs54, V. Pleskot 133, E. Plotnikova38, G. Poddar 4,R. Poettgen 98, L. Poggioli 127, D. Pohl 24, I. Pokharel 55, S. Polacek 133, G. Polesello 73a,A. Poley 142,156a, R. Polifka 132, A. Polini 23b, C.S. Pollard 166, Z.B. Pollock 119,V. Polychronakos 29, E. Pompa Pacchi75a,75b, D. Ponomarenko 113, L. Pontecorvo 36,S. Popa 27a, G.A. Popeneciu 27d, D.M. Portillo Quintero 156a, S. Pospisil 132,P. Postolache 27c, K. Potamianos 126, P.P. Potepa 85a, I.N. Potrap 38, C.J. Potter 32,H. Potti 1, T. Poulsen 48, J. Poveda 162, M.E. Pozo Astigarraga 36, A. Prades Ibanez 162,M.M. Prapa 46, D. Price 101, M. Primavera 70a, M.A. Principe Martin 99, R. Privara 122,M.L. Proffitt 138, N. Proklova 128, K. Prokofiev 64c, G. Proto 76a,76b, S. Protopopescu 29,J. Proudfoot 6, M. Przybycien 85a, W.W. Przygoda 85b, J.E. Puddefoot 139, D. Pudzha 37,D. Pyatiizbyantseva 37, J. Qian 106, D. Qichen 101, Y. Qin 101, S. Qiu 17a, T. Qiu 52,A. Quadt 55, M. Queitsch-Maitland 101, G. Quetant 56, G. Rabanal Bolanos 61,D. Rafanoharana 54, F. Ragusa 71a,71b, J.L. Rainbolt 39, J.A. Raine 56, S. Rajagopalan 29,E. Ramakoti 37, K. Ran 48,14d, N.P. Rapheeha 33g, V. Raskina 127, D.F. Rassloff 63a,S. Rave 100, B. Ravina 55, I. Ravinovich 168, M. Raymond 36, A.L. Read 125,N.P. Readioff 139, D.M. Rebuzzi 73a,73b, G. Redlinger 29, K. Reeves 45, J.A. Reidelsturz 170,D. Reikher 151, A. Rej 141, C. Rembser 36, A. Renardi 48, M. Renda 27b, M.B. Rendel110,F. Renner 48, A.G. Rennie 59, S. Resconi 71a, M. Ressegotti 57b,57a, E.D. Resseguie 17a,S. Rettie 36, J.G. Reyes Rivera 107, B. Reynolds119, E. Reynolds 17a, M. Rezaei Estabragh 170,O.L. Rezanova 37, P. Reznicek 133, N. Ribaric 91, E. Ricci 78a,78b, R. Richter 110,S. Richter 47a,47b, E. Richter-Was 85b, M. Ridel 127, S. Ridouani 35d, P. Rieck 117,P. Riedler 36, M. Rijssenbeek 145, A. Rimoldi 73a,73b, M. Rimoldi 48, L. Rinaldi 23b,23a,T.T. Rinn 29, M.P. Rinnagel 109, G. Ripellino 160, I. Riu 13, P. Rivadeneira 48,J.C. Rivera Vergara 164, F. Rizatdinova 121, E. Rizvi 94, C. Rizzi 56, B.A. Roberts 166,B.R. Roberts 17a, S.H. Robertson 104,w, M. Robin 48, D. Robinson 32,C.M. Robles Gajardo137f , M. Robles Manzano 100, A. Robson 59, A. Rocchi 76a,76b,C. Roda 74a,74b, S. Rodriguez Bosca 63a, Y. Rodriguez Garcia 22a, A. Rodriguez Rodriguez 54,A.M. Rodríguez Vera 156b, S. Roe36, J.T. Roemer 159, A.R. Roepe-Gier 136, J. Roggel 170,O. Røhne 125, R.A. Rojas 103, B. Roland 54, C.P.A. Roland 68, J. Roloff 29,A. Romaniouk 37, E. Romano 73a,73b, M. Romano 23b, A.C. Romero Hernandez 161,N. Rompotis 92, L. Roos 127, S. Rosati 75a, B.J. Rosser 39, E. Rossi 4, E. Rossi 72a,72b,L.P. Rossi 57b, L. Rossini 48, R. Rosten 119, M. Rotaru 27b, B. Rottler 54, C. Rougier 102,ai,D. Rousseau 66, D. Rousso 32, G. Rovelli 73a,73b, A. Roy 161, S. Roy-Garand 155,A. Rozanov 102, Y. Rozen 150, X. Ruan 33g, A. Rubio Jimenez 162, A.J. Ruby 92,V.H. Ruelas Rivera 18, T.A. Ruggeri 1, F. Rühr 54, A. Ruiz-Martinez 162, A. Rummler 36,Z. Rurikova 54, N.A. Rusakovich 38, H.L. Russell 164, J.P. Rutherfoord 7, K. Rybacki91,M. Rybar 133, E.B. Rye 125, A. Ryzhov 37, J.A. Sabater Iglesias 56, P. Sabatini 162,L. Sabetta 75a,75b, H.F-W. Sadrozinski 136, F. Safai Tehrani 75a, B. Safarzadeh Samani 146,M. Safdari 143, S. Saha 104, M. Sahinsoy 110, M. Saimpert 135, M. Saito 153, T. Saito 153,D. Salamani 36, A. Salnikov 143, J. Salt 162, A. Salvador Salas 13, D. Salvatore 43b,43a,F. Salvatore 146, A. Salzburger 36, D. Sammel 54, D. Sampsonidis 152,e,D. Sampsonidou 62d,62c, J. Sánchez 162, A. Sanchez Pineda 4, V. Sanchez Sebastian 162,– 41 –JHEP07(2023)176H. Sandaker 125, C.O. Sander 48, J.A. Sandesara 103, M. Sandhoff 170, C. Sandoval 22b,D.P.C. Sankey 134, T. Sano 87, A. Sansoni 53, L. Santi 75a,75b, C. Santoni 40,H. Santos 130a,130b, S.N. Santpur 17a, A. Santra 168, K.A. Saoucha 139, J.G. Saraiva 130a,130d,J. Sardain 7, O. Sasaki 83, K. Sato 157, C. Sauer63b, F. Sauerburger 54, E. Sauvan 4,P. Savard 155,ac, R. Sawada 153, C. Sawyer 134, L. Sawyer 97, I. Sayago Galvan162,C. Sbarra 23b, A. Sbrizzi 23b,23a, T. Scanlon 96, J. Schaarschmidt 138, P. Schacht 110,D. Schaefer 39, U. Schäfer 100, A.C. Schaffer 66,44, D. Schaile 109, R.D. Schamberger 145,E. Schanet 109, C. Scharf 18, M.M. Schefer 19, V.A. Schegelsky 37, D. Scheirich 133,F. Schenck 18, M. Schernau 159, C. Scheulen 55, C. Schiavi 57b,57a, Z.M. Schillaci 26,E.J. Schioppa 70a,70b, M. Schioppa 43b,43a, B. Schlag 100, K.E. Schleicher 54, S. Schlenker 36,J. Schmeing 170, M.A. Schmidt 170, K. Schmieden 100, C. Schmitt 100, S. Schmitt 48,L. Schoeffel 135, A. Schoening 63b, P.G. Scholer 54, E. Schopf 126, M. Schott 100,J. Schovancova 36, S. Schramm 56, F. Schroeder 170, H-C. Schultz-Coulon 63a,M. Schumacher 54, B.A. Schumm 136, Ph. Schune 135, H.R. Schwartz 136,A. Schwartzman 143, T.A. Schwarz 106, Ph. Schwemling 135, R. Schwienhorst 107,A. Sciandra 136, G. Sciolla 26, F. Scuri 74a, F. Scutti105, C.D. Sebastiani 92, K. Sedlaczek 49,P. Seema 18, S.C. Seidel 112, A. Seiden 136, B.D. Seidlitz 41, C. Seitz 48, J.M. Seixas 82b,G. Sekhniaidze 72a, S.J. Sekula 44, L. Selem 4, N. Semprini-Cesari 23b,23a, S. Sen 51,D. Sengupta 56, V. Senthilkumar 162, L. Serin 66, L. Serkin 69a,69b, M. Sessa 77a,77b,H. Severini 120, F. Sforza 57b,57a, A. Sfyrla 56, E. Shabalina 55, R. Shaheen 144,J.D. Shahinian 128, D. Shaked Renous 168, L.Y. Shan 14a, M. Shapiro 17a, A. Sharma 36,A.S. Sharma 163, P. Sharma 80, S. Sharma 48, P.B. Shatalov 37, K. Shaw 146,S.M. Shaw 101, Q. Shen 62c,5, P. Sherwood 96, L. Shi 96, C.O. Shimmin 171,Y. Shimogama 167, J.D. Shinner 95, I.P.J. Shipsey 126, S. Shirabe 60, M. Shiyakova 38,J. Shlomi 168, M.J. Shochet 39, J. Shojaii 105, D.R. Shope 125, S. Shrestha 119,ag,E.M. Shrif 33g, M.J. Shroff 164, P. Sicho 131, A.M. Sickles 161, E. Sideras Haddad 33g,A. Sidoti 23b, F. Siegert 50, Dj. Sijacki 15, R. Sikora 85a, F. Sili 90, J.M. Silva 20,M.V. Silva Oliveira 36, S.B. Silverstein 47a, S. Simion66, R. Simoniello 36, E.L. Simpson 59,H. Simpson 146, L.R. Simpson 106, N.D. Simpson98, S. Simsek 21d, S. Sindhu 55,P. Sinervo 155, S. Singh 142, S. Singh 155, S. Sinha 48, S. Sinha 33g, M. Sioli 23b,23a,I. Siral 36, S.Yu. Sivoklokov 37,∗, J. Sjölin 47a,47b, A. Skaf 55, E. Skorda 98, P. Skubic 120,M. Slawinska 86, V. Smakhtin168, B.H. Smart 134, J. Smiesko 36, S.Yu. Smirnov 37,Y. Smirnov 37, L.N. Smirnova 37,a, O. Smirnova 98, A.C. Smith 41, E.A. Smith 39,H.A. Smith 126, J.L. Smith 92, R. Smith143, M. Smizanska 91, K. Smolek 132,A. Smykiewicz 86, A.A. Snesarev 37, H.L. Snoek 114, S. Snyder 29, R. Sobie 164,w,A. Soffer 151, C.A. Solans Sanchez 36, E.Yu. Soldatov 37, U. Soldevila 162, A.A. Solodkov 37,S. Solomon 54, A. Soloshenko 38, K. Solovieva 54, O.V. Solovyanov 40, V. Solovyev 37,P. Sommer 36, A. Sonay 13, W.Y. Song 156b, J.M. Sonneveld 114, A. Sopczak 132,A.L. Sopio 96, F. Sopkova 28b, V. Sothilingam63a, S. Sottocornola 68, R. Soualah 116c,Z. Soumaimi 35e, D. South 48, S. Spagnolo 70a,70b, M. Spalla 110, D. Sperlich 54,G. Spigo 36, M. Spina 146, S. Spinali 91, D.P. Spiteri 59, M. Spousta 133, E.J. Staats 34,A. Stabile 71a,71b, R. Stamen 63a, M. Stamenkovic 114, A. Stampekis 20, M. Standke 24,E. Stanecka 86, M.V. Stange 50, B. Stanislaus 17a, M.M. Stanitzki 48, M. Stankaityte 126,– 42 –JHEP07(2023)176B. Stapf 48, E.A. Starchenko 37, G.H. Stark 136, J. Stark 102,ai, D.M. Starko156b,P. Staroba 131, P. Starovoitov 63a, S. Stärz 104, R. Staszewski 86, G. Stavropoulos 46,J. Steentoft 160, P. Steinberg 29, B. Stelzer 142,156a, H.J. Stelzer 129, O. Stelzer-Chilton 156a,H. Stenzel 58, T.J. Stevenson 146, G.A. Stewart 36, J.R. Stewart 121, M.C. Stockton 36,G. Stoicea 27b, M. Stolarski 130a, S. Stonjek 110, A. Straessner 50, J. Strandberg 144,S. Strandberg 47a,47b, M. Strauss 120, T. Strebler 102, P. Strizenec 28b, R. Ströhmer 165,D.M. Strom 123, L.R. Strom 48, R. Stroynowski 44, A. Strubig 47a,47b, S.A. Stucci 29,B. Stugu 16, J. Stupak 120, N.A. Styles 48, D. Su 143, S. Su 62a, W. Su 62d,138,62c,X. Su 62a,66, K. Sugizaki 153, V.V. Sulin 37, M.J. Sullivan 92, D.M.S. Sultan 78a,78b,L. Sultanaliyeva 37, S. Sultansoy 3b, T. Sumida 87, S. Sun 106, S. Sun 169,O. Sunneborn Gudnadottir 160, M.R. Sutton 146, M. Svatos 131, M. Swiatlowski 156a,T. Swirski 165, I. Sykora 28a, M. Sykora 133, T. Sykora 133, D. Ta 100, K. Tackmann 48,u,A. Taffard 159, R. Tafirout 156a, J.S. Tafoya Vargas 66, R.H.M. Taibah 127, R. Takashima 88,E.P. Takeva 52, Y. Takubo 83, M. Talby 102, A.A. Talyshev 37, K.C. Tam 64b,N.M. Tamir151, A. Tanaka 153, J. Tanaka 153, R. Tanaka 66, M. Tanasini 57b,57a, J. Tang62c,Z. Tao 163, S. Tapia Araya 137f , S. Tapprogge 100, A. Tarek Abouelfadl Mohamed 107,S. Tarem 150, K. Tariq 62b, G. Tarna 102,27b, G.F. Tartarelli 71a, P. Tas 133,M. Tasevsky 131, E. Tassi 43b,43a, A.C. Tate 161, G. Tateno 153, Y. Tayalati 35e,v,G.N. Taylor 105, W. Taylor 156b, H. Teagle92, A.S. Tee 169, R. Teixeira De Lima 143,P. Teixeira-Dias 95, J.J. Teoh 155, K. Terashi 153, J. Terron 99, S. Terzo 13, M. Testa 53,R.J. Teuscher 155,w, A. Thaler 79, O. Theiner 56, N. Themistokleous 52,T. Theveneaux-Pelzer 102, O. Thielmann 170, D.W. Thomas95, J.P. Thomas 20,E.A. Thompson 17a, P.D. Thompson 20, E. Thomson 128, E.J. Thorpe 94, Y. Tian 55,V. Tikhomirov 37,a, Yu.A. Tikhonov 37, S. Timoshenko37, E.X.L. Ting 1, P. Tipton 171,S.H. Tlou 33g, A. Tnourji 40, K. Todome 23b,23a, S. Todorova-Nova 133, S. Todt50,M. Togawa 83, J. Tojo 89, S. Tokár 28a, K. Tokushuku 83, O. Toldaiev 68, R. Tombs 32,M. Tomoto 83,111, L. Tompkins 143,am, K.W. Topolnicki 85b, P. Tornambe 103,E. Torrence 123, H. Torres 50, E. Torró Pastor 162, M. Toscani 30, C. Tosciri 39, M. Tost 11,D.R. Tovey 139, A. Traeet16, I.S. Trandafir 27b, T. Trefzger 165, A. Tricoli 29,I.M. Trigger 156a, S. Trincaz-Duvoid 127, D.A. Trischuk 26, B. Trocmé 60, C. Troncon 71a,L. Truong 33c, M. Trzebinski 86, A. Trzupek 86, F. Tsai 145, M. Tsai 106, A. Tsiamis 152,e,P.V. Tsiareshka37, S. Tsigaridas 156a, A. Tsirigotis 152,s, V. Tsiskaridze 145,E.G. Tskhadadze149a, M. Tsopoulou 152,e, Y. Tsujikawa 87, I.I. Tsukerman 37, V. Tsulaia 17a,S. Tsuno 83, O. Tsur150, D. Tsybychev 145, Y. Tu 64b, A. Tudorache 27b, V. Tudorache 27b,A.N. Tuna 36, S. Turchikhin 38, I. Turk Cakir 3a, R. Turra 71a, T. Turtuvshin 38,x,P.M. Tuts 41, S. Tzamarias 152,e, P. Tzanis 10, E. Tzovara 100, K. Uchida153, F. Ukegawa 157,P.A. Ulloa Poblete 137c, E.N. Umaka 29, G. Unal 36, M. Unal 11, A. Undrus 29, G. Unel 159,J. Urban 28b, P. Urquijo 105, G. Usai 8, R. Ushioda 154, M. Usman 108, Z. Uysal 21b,L. Vacavant 102, V. Vacek 132, B. Vachon 104, K.O.H. Vadla 125, T. Vafeiadis 36,A. Vaitkus 96, C. Valderanis 109, E. Valdes Santurio 47a,47b, M. Valente 156a,S. Valentinetti 23b,23a, A. Valero 162, A. Vallier 102,ai, J.A. Valls Ferrer 162,D.R. Van Arneman 114, T.R. Van Daalen 138, P. Van Gemmeren 6, M. Van Rijnbach 125,36,S. Van Stroud 96, I. Van Vulpen 114, M. Vanadia 76a,76b, W. Vandelli 36,– 43 –JHEP07(2023)176M. Vandenbroucke 135, E.R. Vandewall 121, D. Vannicola 151, L. Vannoli 57b,57a, R. Vari 75a,E.W. Varnes 7, C. Varni 17a, T. Varol 148, D. Varouchas 66, L. Varriale 162,K.E. Varvell 147, M.E. Vasile 27b, L. Vaslin40, G.A. Vasquez 164, F. Vazeille 40,T. Vazquez Schroeder 36, J. Veatch 31, V. Vecchio 101, M.J. Veen 103, I. Veliscek 126,L.M. Veloce 155, F. Veloso 130a,130c, S. Veneziano 75a, A. Ventura 70a,70b, A. Verbytskyi 110,M. Verducci 74a,74b, C. Vergis 24, M. Verissimo De Araujo 82b, W. Verkerke 114,J.C. Vermeulen 114, C. Vernieri 143, P.J. Verschuuren 95, M. Vessella 103, M.C. Vetterli 142,ac,A. Vgenopoulos 152,e, N. Viaux Maira 137f , T. Vickey 139, O.E. Vickey Boeriu 139,G.H.A. Viehhauser 126, L. Vigani 63b, M. Villa 23b,23a, M. Villaplana Perez 162,E.M. Villhauer52, E. Vilucchi 53, M.G. Vincter 34, G.S. Virdee 20, A. Vishwakarma 52,C. Vittori 36, I. Vivarelli 146, V. Vladimirov166, E. Voevodina 110, F. Vogel 109, P. Vokac 132,J. Von Ahnen 48, E. Von Toerne 24, B. Vormwald 36, V. Vorobel 133, K. Vorobev 37,M. Vos 162, K. Voss 141, J.H. Vossebeld 92, M. Vozak 114, L. Vozdecky 94, N. Vranjes 15,M. Vranjes Milosavljevic 15, M. Vreeswijk 114, R. Vuillermet 36, O. Vujinovic 100,I. Vukotic 39, S. Wada 157, C. Wagner103, J.M. Wagner 17a, W. Wagner 170, S. Wahdan 170,H. Wahlberg 90, R. Wakasa 157, M. Wakida 111, J. Walder 134, R. Walker 109,W. Walkowiak 141, A.M. Wang 61, A.Z. Wang 169, C. Wang 100, C. Wang 62c, H. Wang 17a,J. Wang 64a, R.-J. Wang 100, R. Wang 61, R. Wang 6, S.M. Wang 148, S. Wang 62b,T. Wang 62a, W.T. Wang 80, X. Wang 14c, X. Wang 161, X. Wang 62c, Y. Wang 62d,Y. Wang 14c, Z. Wang 106, Z. Wang 62d,51,62c, Z. Wang 106, A. Warburton 104,R.J. Ward 20, N. Warrack 59, A.T. Watson 20, H. Watson 59, M.F. Watson 20,G. Watts 138, B.M. Waugh 96, C. Weber 29, H.A. Weber 18, M.S. Weber 19,S.M. Weber 63a, C. Wei62a, Y. Wei 126, A.R. Weidberg 126, E.J. Weik 117, J. Weingarten 49,M. Weirich 100, C. Weiser 54, C.J. Wells 48, T. Wenaus 29, B. Wendland 49, T. Wengler 36,N.S. Wenke110, N. Wermes 24, M. Wessels 63a, K. Whalen 123, A.M. Wharton 91,A.S. White 61, A. White 8, M.J. White 1, D. Whiteson 159, L. Wickremasinghe 124,W. Wiedenmann 169, C. Wiel 50, M. Wielers 134, C. Wiglesworth 42, L.A.M. Wiik-Fuchs 54,D.J. Wilbern120, H.G. Wilkens 36, D.M. Williams 41, H.H. Williams128, S. Williams 32,S. Willocq 103, B.J. Wilson 101, P.J. Windischhofer 39, F. Winklmeier 123, B.T. Winter 54,J.K. Winter 101, M. Wittgen143, M. Wobisch 97, R. Wölker 126, J. Wollrath159,M.W. Wolter 86, H. Wolters 130a,130c, V.W.S. Wong 163, A.F. Wongel 48, S.D. Worm 48,B.K. Wosiek 86, K.W. Woźniak 86, K. Wraight 59, J. Wu 14a,14d, M. Wu 64a, M. Wu 113,S.L. Wu 169, X. Wu 56, Y. Wu 62a, Z. Wu 135,62a, J. Wuerzinger 110, T.R. Wyatt 101,B.M. Wynne 52, S. Xella 42, L. Xia 14c, M. Xia14b, J. Xiang 64c, X. Xiao 106, M. Xie 62a,X. Xie 62a, S. Xin 14a,14d, J. Xiong 17a, I. Xiotidis146, D. Xu 14a, H. Xu62a, H. Xu 62a,L. Xu 62a, R. Xu 128, T. Xu 106, Y. Xu 14b, Z. Xu 62b, Z. Xu 14a, B. Yabsley 147,S. Yacoob 33a, N. Yamaguchi 89, Y. Yamaguchi 154, H. Yamauchi 157, T. Yamazaki 17a,Y. Yamazaki 84, J. Yan62c, S. Yan 126, Z. Yan 25, H.J. Yang 62c,62d, H.T. Yang 62a,S. Yang 62a, T. Yang 64c, X. Yang 62a, X. Yang 14a, Y. Yang 44, Y. Yang62a,Z. Yang 62a,106, W-M. Yao 17a, Y.C. Yap 48, H. Ye 14c, H. Ye 55, J. Ye 44, S. Ye 29,X. Ye 62a, Y. Yeh 96, I. Yeletskikh 38, B.K. Yeo 17a, M.R. Yexley 91, P. Yin 41,K. Yorita 167, S. Younas 27b, C.J.S. Young 54, C. Young 143, Y. Yu 62a, M. Yuan 106,R. Yuan 62b,k, L. Yue 96, M. Zaazoua 35e, B. Zabinski 86, E. Zaid52, T. Zakareishvili 149b,– 44 –JHEP07(2023)176N. Zakharchuk 34, S. Zambito 56, J.A. Zamora Saa 137d,137b, J. Zang 153, D. Zanzi 54,O. Zaplatilek 132, C. Zeitnitz 170, H. Zeng 14a, J.C. Zeng 161, D.T. Zenger Jr 26,O. Zenin 37, T. Ženiš 28a, S. Zenz 94, S. Zerradi 35a, D. Zerwas 66, M. Zhai 14a,14d,B. Zhang 14c, D.F. Zhang 139, J. Zhang 62b, J. Zhang 6, K. Zhang 14a,14d, L. Zhang 14c,P. Zhang14a,14d, R. Zhang 169, S. Zhang 106, T. Zhang 153, X. Zhang 62c, X. Zhang 62b,Y. Zhang 62c,5, Z. Zhang 17a, Z. Zhang 66, H. Zhao 138, P. Zhao 51, T. Zhao 62b,Y. Zhao 136, Z. Zhao 62a, A. Zhemchugov 38, X. Zheng 62a, Z. Zheng 143, D. Zhong 161,B. Zhou106, C. Zhou 169, H. Zhou 7, N. Zhou 62c, Y. Zhou7, C.G. Zhu 62b, H.L. Zhu 62a,J. Zhu 106, Y. Zhu 62c, Y. Zhu 62a, X. Zhuang 14a, K. Zhukov 37, V. Zhulanov 37,N.I. Zimine 38, J. Zinsser 63b, M. Ziolkowski 141, L. Živković 15, A. Zoccoli 23b,23a,K. Zoch 56, T.G. Zorbas 139, O. Zormpa 46, W. Zou 41, L. Zwalinski 361 Department of Physics, University of Adelaide, Adelaide; Australia2 Department of Physics, University of Alberta, Edmonton AB; Canada3 (a)Department of Physics, Ankara University, Ankara;(b)Division of Physics, TOBB University ofEconomics and Technology, Ankara; Türkiye4 LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy; France5 APC, Université Paris Cité, CNRS/IN2P3, Paris; France6 High Energy Physics Division, Argonne National Laboratory, Argonne IL; United States of America7 Department of Physics, University of Arizona, Tucson AZ; United States of America8 Department of Physics, University of Texas at Arlington, Arlington TX; United States of America9 Physics Department, National and Kapodistrian University of Athens, Athens; Greece10 Physics Department, National Technical University of Athens, Zografou; Greece11 Department of Physics, University of Texas at Austin, Austin TX; United States of America12 Institute of Physics, Azerbaijan Academy of Sciences, Baku; Azerbaijan13 Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona;Spain14 (a)Institute of High Energy Physics, Chinese Academy of Sciences, Beijing;(b)Physics Department,Tsinghua University, Beijing;(c)Department of Physics, Nanjing University, Nanjing;(d)University ofChinese Academy of Science (UCAS), Beijing; China15 Institute of Physics, University of Belgrade, Belgrade; Serbia16 Department for Physics and Technology, University of Bergen, Bergen; Norway17 (a)Physics Division, Lawrence Berkeley National Laboratory, Berkeley CA;(b)University of California,Berkeley CA; United States of America18 Institut für Physik, Humboldt Universität zu Berlin, Berlin; Germany19 Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University ofBern, Bern; Switzerland20 School of Physics and Astronomy, University of Birmingham, Birmingham; United Kingdom21 (a)Department of Physics, Bogazici University, Istanbul;(b)Department of Physics Engineering,Gaziantep University, Gaziantep;(c)Department of Physics, Istanbul University, Istanbul;(d)IstinyeUniversity, Sariyer, Istanbul; Türkiye22 (a)Facultad de Ciencias y Centro de Investigaciónes, Universidad Antonio Nariño,Bogotá;(b)Departamento de Física, Universidad Nacional de Colombia, Bogotá; Colombia23 (a)Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna;(b)INFN Sezione diBologna; Italy24 Physikalisches Institut, Universität Bonn, Bonn; Germany25 Department of Physics, Boston University, Boston MA; United States of America26 Department of Physics, Brandeis University, Waltham MA; United States of America27 (a)Transilvania University of Brasov, Brasov;(b)Horia Hulubei National Institute of Physics and NuclearEngineering, Bucharest;(c)Department of Physics, Alexandru Ioan Cuza University of Iasi,– 45 –JHEP07(2023)176Iasi;(d)National Institute for Research and Development of Isotopic and Molecular Technologies, PhysicsDepartment, Cluj-Napoca;(e)University Politehnica Bucharest, Bucharest;(f)West University inTimisoara, Timisoara;(g)Faculty of Physics, University of Bucharest, Bucharest; Romania28 (a)Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava;(b)Department ofSubnuclear Physics, Institute of Experimental Physics of the Slovak Academy of Sciences, Kosice;Slovak Republic29 Physics Department, Brookhaven National Laboratory, Upton NY; United States of America30 Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, yCONICET, Instituto de Física de Buenos Aires (IFIBA), Buenos Aires; Argentina31 California State University, CA; United States of America32 Cavendish Laboratory, University of Cambridge, Cambridge; United Kingdom33 (a)Department of Physics, University of Cape Town, Cape Town;(b)iThemba Labs, WesternCape;(c)Department of Mechanical Engineering Science, University of Johannesburg,Johannesburg;(d)National Institute of Physics, University of the Philippines Diliman(Philippines);(e)University of South Africa, Department of Physics, Pretoria;(f)University of Zululand,KwaDlangezwa;(g)School of Physics, University of the Witwatersrand, Johannesburg; South Africa34 Department of Physics, Carleton University, Ottawa ON; Canada35 (a)Faculté des Sciences Ain Chock, Réseau Universitaire de Physique des Hautes Energies - UniversitéHassan II, Casablanca;(b)Faculté des Sciences, Université Ibn-Tofail, Kénitra;(c)Faculté des SciencesSemlalia, Université Cadi Ayyad, LPHEA-Marrakech;(d)LPMR, Faculté des Sciences, UniversitéMohamed Premier, Oujda;(e)Faculté des sciences, Université Mohammed V, Rabat;(f)Institute ofApplied Physics, Mohammed VI Polytechnic University, Ben Guerir; Morocco36 CERN, Geneva; Switzerland37 Affiliated with an institute covered by a cooperation agreement with CERN38 Affiliated with an international laboratory covered by a cooperation agreement with CERN39 Enrico Fermi Institute, University of Chicago, Chicago IL; United States of America40 LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand; France41 Nevis Laboratory, Columbia University, Irvington NY; United States of America42 Niels Bohr Institute, University of Copenhagen, Copenhagen; Denmark43 (a)Dipartimento di Fisica, Università della Calabria, Rende;(b)INFN Gruppo Collegato di Cosenza,Laboratori Nazionali di Frascati; Italy44 Physics Department, Southern Methodist University, Dallas TX; United States of America45 Physics Department, University of Texas at Dallas, Richardson TX; United States of America46 National Centre for Scientific Research "Demokritos", Agia Paraskevi; Greece47 (a)Department of Physics, Stockholm University;(b)Oskar Klein Centre, Stockholm; Sweden48 Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen; Germany49 Fakultät Physik , Technische Universität Dortmund, Dortmund; Germany50 Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden; Germany51 Department of Physics, Duke University, Durham NC; United States of America52 SUPA - School of Physics and Astronomy, University of Edinburgh, Edinburgh; United Kingdom53 INFN e Laboratori Nazionali di Frascati, Frascati; Italy54 Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg; Germany55 II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen; Germany56 Département de Physique Nucléaire et Corpusculaire, Université de Genève, Genève; Switzerland57 (a)Dipartimento di Fisica, Università di Genova, Genova;(b)INFN Sezione di Genova; Italy58 II. Physikalisches Institut, Justus-Liebig-Universität Giessen, Giessen; Germany59 SUPA - School of Physics and Astronomy, University of Glasgow, Glasgow; United Kingdom60 LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble; France61 Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge MA; United States ofAmerica62 (a)Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics,University of Science and Technology of China, Hefei;(b)Institute of Frontier and InterdisciplinaryScience and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University,– 46 –JHEP07(2023)176Qingdao;(c)School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory forParticle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai;(d)Tsung-Dao Lee Institute, Shanghai;China63 (a)Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg;(b)PhysikalischesInstitut, Ruprecht-Karls-Universität Heidelberg, Heidelberg; Germany64 (a)Department of Physics, Chinese University of Hong Kong, Shatin, N.T., Hong Kong;(b)Departmentof Physics, University of Hong Kong, Hong Kong;(c)Department of Physics and Institute for AdvancedStudy, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong; China65 Department of Physics, National Tsing Hua University, Hsinchu; Taiwan66 IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405, Orsay; France67 Centro Nacional de Microelectrónica (IMB-CNM-CSIC), Barcelona; Spain68 Department of Physics, Indiana University, Bloomington IN; United States of America69 (a)INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine;(b)ICTP, Trieste;(c)DipartimentoPolitecnico di Ingegneria e Architettura, Università di Udine, Udine; Italy70 (a)INFN Sezione di Lecce;(b)Dipartimento di Matematica e Fisica, Università del Salento, Lecce; Italy71 (a)INFN Sezione di Milano;(b)Dipartimento di Fisica, Università di Milano, Milano; Italy72 (a)INFN Sezione di Napoli;(b)Dipartimento di Fisica, Università di Napoli, Napoli; Italy73 (a)INFN Sezione di Pavia;(b)Dipartimento di Fisica, Università di Pavia, Pavia; Italy74 (a)INFN Sezione di Pisa;(b)Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa; Italy75 (a)INFN Sezione di Roma;(b)Dipartimento di Fisica, Sapienza Università di Roma, Roma; Italy76 (a)INFN Sezione di Roma Tor Vergata;(b)Dipartimento di Fisica, Università di Roma Tor Vergata,Roma; Italy77 (a)INFN Sezione di Roma Tre;(b)Dipartimento di Matematica e Fisica, Università Roma Tre, Roma;Italy78 (a)INFN-TIFPA;(b)Università degli Studi di Trento, Trento; Italy79 Universität Innsbruck, Department of Astro and Particle Physics, Innsbruck; Austria80 University of Iowa, Iowa City IA; United States of America81 Department of Physics and Astronomy, Iowa State University, Ames IA; United States of America82 (a)Departamento de Engenharia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz deFora;(b)Universidade Federal do Rio De Janeiro COPPE/EE/IF, Rio de Janeiro;(c)Instituto de Física,Universidade de São Paulo, São Paulo;(d)Rio de Janeiro State University, Rio de Janeiro; Brazil83 KEK, High Energy Accelerator Research Organization, Tsukuba; Japan84 Graduate School of Science, Kobe University, Kobe; Japan85 (a)AGH University of Science and Technology, Faculty of Physics and Applied Computer Science,Krakow;(b)Marian Smoluchowski Institute of Physics, Jagiellonian University, Krakow; Poland86 Institute of Nuclear Physics Polish Academy of Sciences, Krakow; Poland87 Faculty of Science, Kyoto University, Kyoto; Japan88 Kyoto University of Education, Kyoto; Japan89 Research Center for Advanced Particle Physics and Department of Physics, Kyushu University, Fukuoka; Japan90 Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata; Argentina91 Physics Department, Lancaster University, Lancaster; United Kingdom92 Oliver Lodge Laboratory, University of Liverpool, Liverpool; United Kingdom93 Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics,University of Ljubljana, Ljubljana; Slovenia94 School of Physics and Astronomy, Queen Mary University of London, London; United Kingdom95 Department of Physics, Royal Holloway University of London, Egham; United Kingdom96 Department of Physics and Astronomy, University College London, London; United Kingdom97 Louisiana Tech University, Ruston LA; United States of America98 Fysiska institutionen, Lunds universitet, Lund; Sweden99 Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid; Spain100 Institut für Physik, Universität Mainz, Mainz; Germany– 47 –JHEP07(2023)176101 School of Physics and Astronomy, University of Manchester, Manchester; United Kingdom102 CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille; France103 Department of Physics, University of Massachusetts, Amherst MA; United States of America104 Department of Physics, McGill University, Montreal QC; Canada105 School of Physics, University of Melbourne, Victoria; Australia106 Department of Physics, University of Michigan, Ann Arbor MI; United States of America107 Department of Physics and Astronomy, Michigan State University, East Lansing MI; United States ofAmerica108 Group of Particle Physics, University of Montreal, Montreal QC; Canada109 Fakultät für Physik, Ludwig-Maximilians-Universität München, München; Germany110 Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), München; Germany111 Graduate School of Science and Kobayashi-Maskawa Institute, Nagoya University, Nagoya; Japan112 Department of Physics and Astronomy, University of New Mexico, Albuquerque NM; United States ofAmerica113 Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen;Netherlands114 Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam; Netherlands115 Department of Physics, Northern Illinois University, DeKalb IL; United States of America116 (a)New York University Abu Dhabi, Abu Dhabi;(b)United Arab Emirates University, Al Ain;(c)Universityof Sharjah, Sharjah; United Arab Emirates117 Department of Physics, New York University, New York NY; United States of America118 Ochanomizu University, Otsuka, Bunkyo-ku, Tokyo; Japan119 Ohio State University, Columbus OH; United States of America120 Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman OK; UnitedStates of America121 Department of Physics, Oklahoma State University, Stillwater OK; United States of America122 Palacký University, Joint Laboratory of Optics, Olomouc; Czech Republic123 Institute for Fundamental Science, University of Oregon, Eugene, OR; United States of America124 Graduate School of Science, Osaka University, Osaka; Japan125 Department of Physics, University of Oslo, Oslo; Norway126 Department of Physics, Oxford University, Oxford; United Kingdom127 LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris; France128 Department of Physics, University of Pennsylvania, Philadelphia PA; United States of America129 Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh PA; United States ofAmerica130 (a)Laboratório de Instrumentação e Física Experimental de Partículas - LIP, Lisboa;(b)Departamento deFísica, Faculdade de Ciências, Universidade de Lisboa, Lisboa;(c)Departamento de Física, Universidadede Coimbra, Coimbra;(d)Centro de Física Nuclear da Universidade de Lisboa, Lisboa;(e)Departamento deFísica, Universidade do Minho, Braga;(f)Departamento de Física Teórica y del Cosmos, Universidad deGranada, Granada (Spain);(g)Departamento de Física, Instituto Superior Técnico, Universidade deLisboa, Lisboa; Portugal131 Institute of Physics of the Czech Academy of Sciences, Prague; Czech Republic132 Czech Technical University in Prague, Prague; Czech Republic133 Charles University, Faculty of Mathematics and Physics, Prague; Czech Republic134 Particle Physics Department, Rutherford Appleton Laboratory, Didcot; United Kingdom135 IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette; France136 Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz CA; UnitedStates of America137 (a)Departamento de Física, Pontificia Universidad Católica de Chile, Santiago;(b)Millennium Institutefor Subatomic physics at high energy frontier (SAPHIR), Santiago;(c)Instituto de InvestigaciónMultidisciplinario en Ciencia y Tecnología, y Departamento de Física, Universidad de LaSerena;(d)Universidad Andres Bello, Department of Physics, Santiago;(e)Instituto de Alta Investigación,– 48 –JHEP07(2023)176Universidad de Tarapacá, Arica;(f)Departamento de Física, Universidad Técnica Federico Santa María,Valparaíso; Chile138 Department of Physics, University of Washington, Seattle WA; United States of America139 Department of Physics and Astronomy, University of Sheffield, Sheffield; United Kingdom140 Department of Physics, Shinshu University, Nagano; Japan141 Department Physik, Universität Siegen, Siegen; Germany142 Department of Physics, Simon Fraser University, Burnaby BC; Canada143 SLAC National Accelerator Laboratory, Stanford CA; United States of America144 Department of Physics, Royal Institute of Technology, Stockholm; Sweden145 Departments of Physics and Astronomy, Stony Brook University, Stony Brook NY; United States ofAmerica146 Department of Physics and Astronomy, University of Sussex, Brighton; United Kingdom147 School of Physics, University of Sydney, Sydney; Australia148 Institute of Physics, Academia Sinica, Taipei; Taiwan149 (a)E. Andronikashvili Institute of Physics, Iv. Javakhishvili Tbilisi State University, Tbilisi;(b)HighEnergy Physics Institute, Tbilisi State University, Tbilisi;(c)University of Georgia, Tbilisi; Georgia150 Department of Physics, Technion, Israel Institute of Technology, Haifa; Israel151 Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv; Israel152 Department of Physics, Aristotle University of Thessaloniki, Thessaloniki; Greece153 International Center for Elementary Particle Physics and Department of Physics, University of Tokyo,Tokyo; Japan154 Department of Physics, Tokyo Institute of Technology, Tokyo; Japan155 Department of Physics, University of Toronto, Toronto ON; Canada156 (a)TRIUMF, Vancouver BC;(b)Department of Physics and Astronomy, York University, Toronto ON;Canada157 Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and AppliedSciences, University of Tsukuba, Tsukuba; Japan158 Department of Physics and Astronomy, Tufts University, Medford MA; United States of America159 Department of Physics and Astronomy, University of California Irvine, Irvine CA; United States ofAmerica160 Department of Physics and Astronomy, University of Uppsala, Uppsala; Sweden161 Department of Physics, University of Illinois, Urbana IL; United States of America162 Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia; Spain163 Department of Physics, University of British Columbia, Vancouver BC; Canada164 Department of Physics and Astronomy, University of Victoria, Victoria BC; Canada165 Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg; Germany166 Department of Physics, University of Warwick, Coventry; United Kingdom167 Waseda University, Tokyo; Japan168 Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot; Israel169 Department of Physics, University of Wisconsin, Madison WI; United States of America170 Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal,Wuppertal; Germany171 Department of Physics, Yale University, New Haven CT; United States of Americaa Also Affiliated with an institute covered by a cooperation agreement with CERNb Also at Borough of Manhattan Community College, City University of New York, New York NY; UnitedStates of Americac Also at Bruno Kessler Foundation, Trento; Italyd Also at Center for High Energy Physics, Peking University; Chinae Also at Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki ; Greecef Also at Centro Studi e Ricerche Enrico Fermi; Italyg Also at CERN, Geneva; Switzerland– 49 –JHEP07(2023)176h Also at Département de Physique Nucléaire et Corpusculaire, Université de Genève, Genève;Switzerlandi Also at Departament de Fisica de la Universitat Autonoma de Barcelona, Barcelona; Spainj Also at Department of Financial and Management Engineering, University of the Aegean, Chios; Greecek Also at Department of Physics and Astronomy, Michigan State University, East Lansing MI; UnitedStates of Americal Also at Department of Physics, Ben Gurion University of the Negev, Beer Sheva; Israelm Also at Department of Physics, California State University, East Bay; United States of American Also at Department of Physics, California State University, Sacramento; United States of Americao Also at Department of Physics, King’s College London, London; United Kingdomp Also at Department of Physics, University of Fribourg, Fribourg; Switzerlandq Also at Department of Physics, University of Thessaly; Greecer Also at Department of Physics, Westmont College, Santa Barbara; United States of Americas Also at Hellenic Open University, Patras; Greecet Also at Institucio Catalana de Recerca i Estudis Avancats, ICREA, Barcelona; Spainu Also at Institut für Experimentalphysik, Universität Hamburg, Hamburg; Germanyv Also at Institute of Applied Physics, Mohammed VI Polytechnic University, Ben Guerir; Moroccow Also at Institute of Particle Physics (IPP); Canadax Also at Institute of Physics and Technology, Ulaanbaatar; Mongoliay Also at Institute of Physics, Azerbaijan Academy of Sciences, Baku; Azerbaijanz Also at Institute of Theoretical Physics, Ilia State University, Tbilisi; Georgiaaa Also at Lawrence Livermore National Laboratory, Livermore; United States of Americaab Also at The Collaborative Innovation Center of Quantum Matter (CICQM), Beijing; Chinaac Also at TRIUMF, Vancouver BC; Canadaad Also at Università di Napoli Parthenope, Napoli; Italyae Also at University of Chinese Academy of Sciences (UCAS), Beijing; Chinaaf Also at University of Colorado Boulder, Department of Physics, Colorado; United States of Americaag Also at Washington College, Maryland; United States of Americaah Also at Physics Department, An-Najah National University, Nablus, Palestineai Also at L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse; Franceaj Also at National Institute of Physics, University of the Philippines Diliman (Philippines); Philippinesak Also at Technical University of Munich, Munich; Germanyal Also at Yeditepe University, Physics Department, Istanbul; Türkiyeam Also at Department of Physics, Stanford University, Stanford CA, United States of America∗ Deceased– 50 –
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Hadron-Hadron Scattering
Higgs Physics
Model-independent search for the presence of new physics in events including H → γγ with √s = 13 TeV pp data recorded by the ATLAS detector at the LHC
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