Measurement of vector boson scattering and constraints on anomalous quartic couplings from events with four leptons and two jets in proton-proton collisions at √s=13 TeV

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Contents lists available atScienceDirect

Physics

Letters

B

www.elsevier.com/locate/physletb

Measurement

of

vector

boson

scattering

and

constraints

on

anomalous

quartic

couplings

from

events

with

four

leptons

and

two

jets

in proton–proton

collisions

at

√

s

=

13 TeV

.

The

CMS

Collaboration

CERN,Switzerland

a

r

t

i

c

l

e

i

n

f

o

a

b

s

t

r

a

c

t

Articlehistory:

Received9August2017

Receivedinrevisedform21September 2017

Accepted10October2017 Availableonline17October2017 Editor:M.Doser Keywords: CMS Physics SM ZZ VBS aQGC

Ameasurementofvectorbosonscatteringand constraintsonanomalousquarticgaugecouplingsfrom eventswithtwoZbosonsandtwojetsarepresented.Theanalysisisbasedonadatasampleofproton– proton collisionsat√s=13 TeV collectedwiththeCMS detectorand correspondingto anintegrated luminosity of35.9 fb−1.The search isperformed inthe fully leptonic ﬁnalstate ZZ→ , where ,=e or

μ.

The electroweakproductionoftwo Zbosonsinassociationwith twojetsismeasured with an observed (expected)signiﬁcance of 2.7(1.6) standard deviations. A ﬁducialcross sectionfor theelectroweakproductionismeasuredtobe

σ

EW(pp→ZZjj→ jj)=0.40+₋00..2116(stat)+

0.13 −0.09(syst) fb,

whichisconsistentwith thestandard modelprediction.Limitsonanomalousquarticgaugecouplings are determinedintermsoftheeffective ﬁeldtheoryoperators T0,T1,T2,T8,andT9.Thisistheﬁrst measurementofvectorbosonscatteringintheZZ channelattheLHC.

1. Introduction

Weakvector bosonscattering(VBS)plays acentral roleinthe standardmodel(SM)andisakeyprocesstoprobethenon-Abelian gaugestructureoftheelectroweak(EW)interaction.Intheabsence ofanyother contributions, the scatteringamplitude of longitudi-nallypolarizedvector bosonswouldviolateunitarityat center-of-massenergiesforthescatteringprocessoforder1 TeV [1,2].The discoveryofascalarbosonattheCERNLHC[3,4]withgauge cou-plingscompatiblewiththosepredictedfortheSMHiggsboson[5]

providesevidencethatcontributionsfromtheexchangeofthis bo-son maybe responsible forpreserving unitarity athighenergies, aspredictedintheSM.

UnitarityrestorationforlongitudinalbosonscatteringintheSM relies on theinterference of the VBS amplitudes andamplitudes thatinvolvetheHiggsboson.AnydeviationintheSMcouplingof theHiggsbosontothegaugebosonsbreaksthisdelicate cancella-tion,thuspermittingatestoftheEWsymmetrybreaking mecha-nism(EWSB)oftheSM.Thestudyofdifferentialcrosssectionsfor VBSprocessesatlargedibosoninvariantmassesprovidesa model-independent test of the Higgs boson couplings to vector bosons, complementing direct measurements of Higgs boson production

_E-mail_address:_{cms-publication-committee-chair@cern.ch}_.

anddecayrates.ManymodelsofphysicsbeyondtheSM alterthe couplingsofvectorbosons,andtheeffectscanbeparametrizedin an effectiveﬁeldtheoryapproach [6].TheVBS topologyincreases the sensitivity to the contribution ofthe quartic interactions, al-lowingtestsforthepresenceofanomalousquarticgaugecouplings (aQGCs)[7].

AttheLHC,VBSisinitiatedbyquarksq fromthecolliding pro-tons; both quarks radiate vector bosons (V

=

W, Z) which then interact. Becauseoftherelativelysmalltransversemomentum pT carriedbythegaugebosonsandtheabsenceofanycolorexchange atleadingorder(LO),VBSischaracterizedbythepresenceoftwo forwardjetsjinadditiontotheoutgoinggaugebosons(qq

→

VVjj) and little hadronic activitybetween the two jets [8,9]. The hard interaction inVBS only involvesthe EWinteraction. Fig. 1shows someoftheFeynmandiagramsthatcontributetotheEW produc-tionoftheVVjj signature,involvingquartic(topleft)andtrilinear vertices(topright),aswellasdiagramsinvolvingtheHiggsboson (bottomleft).Theqq

→

VVjj processcanalsobemediatedthrough the stronginteraction(bottomrightinFig. 1), whichleads tothe sameﬁnalstateastheVBSsignal,resultinginanirreducible back-ground.

BoththeATLASandCMSCollaborationsperformedsearchesfor VBS usingproton–protoncollisions at

√

s

=

8 TeV, notably inthe same-sign WWchannel [10–12].TheATLASCollaborationalso

re-https://doi.org/10.1016/j.physletb.2017.10.020

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Fig. 1. RepresentativeFeynmandiagrams forthe EW- (toprowand bottomleft) andQCD-inducedproduction(bottomright)oftheZZjj→ _{jj (}_,₌_{e or}_μ₎ ﬁnalstate.Thescatteringofmassivegaugebosonsasdepictedinthetoprowis unitarizedbytheinterferencewithamplitudesthatfeaturetheHiggsboson(bottom left).

portedlimitsonaﬁducialcrosssectionforVBSintheWZchannel

[13].TheZZchannelremainedunprobed.LimitsonaQGCsare re-portedinRefs.[10–18].

Thispaperpresentstheﬁrstexperimental investigationofVBS intheZZchannelandexploitsthefullyleptonicﬁnalstate,where bothZ bosonsdecayintoelectronsormuons,ZZ

→

(

,

=

e or

μ

). Despite a low cross section, a small Z

→

branching fraction,andalargeirreducibleQCDbackground,thischannel pro-videsafavorable laboratorytostudyEWSBbecauseallfinal-state particles are reconstructed. The clean leptonic final state results in a small reducible background, where one or more of the re-constructedleptoncandidatesoriginatefromthemisidentification ofjet fragments. Thischannel also provides a precise knowledge ofthescatteringenergy.Furthermore,thespin correlationsofthe reconstructed fermions permit the extraction of the longitudinal contributiontoVBS.

Thesearch forthe EW productionof the

jj ﬁnal state is carriedoutusing ppcollisions at

√

s

=

13 TeV recordedwiththe CMSdetectorattheLHC.Thedatasetcorrespondstoanintegrated luminosityof35.9 fb−1 collectedin2016. Amultivariate discrim-inant, whichcombines observablessensitive to the kinematicsof theVBS process toseparate the EW- fromtheQCD-induced pro-duction,isusedto extractthe signalsigniﬁcance andto measure thecross section fortheEW production ina ﬁducialvolume. Fi-nally, the selected

jj events are used to constrain aQGCs describedby theoperators T0, T1, andT2aswell asthe neutral-currentoperatorsT8andT9[7].

2. TheCMSdetector

ThecentralfeatureoftheCMSapparatusisasuperconducting solenoidof 6 m internal diameter, providing a magnetic ﬁeld of 3.8 T.Withinthesolenoidvolumearesiliconpixelandstrip track-ingdetectors,aleadtungstatecrystalelectromagneticcalorimeter (ECAL), and a brass and scintillator hadron calorimeter (HCAL),

each composed of a barrel and two endcap sections. Forward calorimetersextendthepseudorapidity

η

coverageprovidedbythe barrel andendcap detectors up to

|

η

|

<

5. Muons are measured ingas-ionizationdetectorsembeddedinthesteelﬂux-returnyoke outsidethesolenoid.

Thesilicontrackermeasureschargedparticleswithinthe pseu-dorapidity range

|

η

|

<

2

.

5. It consists of 1440 silicon pixel and 15 148 silicon strip detector modules. For nonisolated particles with 1

2, cathode strip chambers for 0

.

9

<

|

η

|

<

2

.

4, and resis-tive platechambersfor

|

η

|

<

1

.

6.Intheintermediate pT rangeof 20

<

pT

<

100 GeV, matching muons to tracks measured in the silicontrackerresultsinarelative pT resolutionof1.3–2.0%inthe barrel(

|

η

|

<

1

.

2), andbetter than6%inthe endcaps.The pT res-olutioninthebarrelis betterthan10% formuonswith pT up to 1 TeV[21].

In theregion

|

η

|

<

1

. Whencombininginformationfromtheentiredetector,thejet en-ergyresolutionamountstypicallyto15%at10 GeV,8%at100 GeV, and4% at1 TeV,to be comparedto about40%,12%, and5% ob-tainedwhentheECALandHCALcalorimetersaloneareused.

Theﬁrstlevel ofthe CMStriggersystem, composedofcustom hardware processors, uses informationfromthe calorimetersand muondetectorstoselecteventsofinterestinaﬁxedtimeinterval of3.2 μs. The high-level trigger processorfarm furtherdecreases theeventratefromaround100 kHz tolessthan1 kHz,beforedata storage[22].

AmoredetaileddescriptionoftheCMSdetector,togetherwith adeﬁnitionofthe coordinatesystemusedandtherelevant kine-maticvariables,canbefoundinRef.[23].

3. Signalandbackgroundsimulation

SeveralMonteCarloeventgeneratorsare usedtosimulatethe signal and background contributions. The simulated samples are employed to optimizethe event selection, to develop the multi-variate discriminator, andto estimate the irreducible background yields.

TheEWproductionofZbosonpairsandtwoﬁnal-statequarks, where the Z bosons decay leptonically, is simulated at LO using MadGraph5_amc@nlo v2.3.3(abbreviatedas MG5_aMC inthe fol-lowing) [24]. The sample includes triboson processes, where the Zboson pairisaccompanied by athird vectorboson that decays intojets,aswellasdiagramsinvolvingthequarticcouplingvertex. Thepredictionsfromthissamplearecross-checkedwiththose ob-tained fromtheLO generator Phantom v1.2.8[25],andexcellent agreementintheyieldsandthemultivariatedistributionexploited forthesignalextractionisfound.

The event samples of the QCD-induced production of two Z bosons are simulated with zero, one, and two outgoing partons

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atBorn levelatnext-to-leadingorder (NLO)with MG5_aMC. The differentjet multiplicitiesaremergedusingtheFxFxscheme[26]

withamergingscaleof30 GeV,andleptonic Z bosondecaysare simulatedusing MadSpin [27]. The interferencebetweenthe EW andQCDdiagramsisevaluatedusingdedicatedsamplesproduced with MG5_aMC at LO. It is found to contribute less than 1% to the total yield andis thereforeneglected. The loop-induced pro-duction oftwo Z bosons,referred to asgg

→

ZZ, issimulated at LOwith mcfm v7.0.1[28].Adedicated MG5_aMC simulationofthe loop-inducedgg

→

ZZjj processisused tocheck themodeling of theZZjj phase spaceinthe mcfm sample, andgoodagreementis found.

Samples for ttZ and WWZ production, background processes that contain four prompt, isolated leptons and additional jetsin theﬁnalstate,aresimulatedwith MG5_aMC atNLO.

ThesimulationoftheaQGCprocessesisperformedatLOusing MG5_aMC and employs matrix element reweighting to obtain a ﬁnelyspacedgridineachoftheﬁveanomalouscouplingsprobed bytheanalysis.

The pythia v8.212 [29,30] package is used for parton show-ering, hadronization, and the underlying event simulation, with parameters set by the CUETP8M1 tune [31]. The NNPDF3.0 [32]

set ofparton distributionfunctions (PDFs)is used,and thePDFs are calculatedto thesame orderinQCD asthe hard process.All simulatedsamples are normalized to thecross sections obtained fromtherespectiveeventgenerator.

Thedetectorresponseissimulatedusingadetaileddescription oftheCMSdetectorimplementedinthe Geant4package [33,34]. Thesimulatedeventsarereconstructedusingthesamealgorithms asusedforthedata.Thesimulatedsamplesincludeadditional in-teractionsin thesame andneighboringbunch crossings, referred to as pileup. Simulated events are weighted so that the pileup distribution reproduces that observed in the data, which has an averageofabout23interactionsperbunchcrossing.

4. Eventselection

Theﬁnalstateshouldconsistofatleasttwopairsofoppositely chargedisolatedleptonsandatleasttwohadronicjets.TheZZ se-lectionissimilartothatusedintheCMSinclusiveZZcrosssection measurement[35].

The primary triggers requirethe presence ofa pairof loosely isolatedleptons. Thehighest pT electron (muon) musthave pT

>

23

(

17

)

GeV, andthe next-to-highest pT lepton must have pT

>

12

(

8

)

GeV.The dilepton triggers require that the tracks associ-atedwith theleptons originate fromwithin 2 mm of each other along the beam axis. Triggers requiring a triplet of low-pT lep-tonswithnoisolation criterion,aswellasisolatedsingle-electron andsingle-muon triggers withminimal pT thresholds of 27 and 22 GeV,respectively,helptorecovereﬃciency.Theoveralltrigger eﬃciencyforeventsthatsatisfy theZZselectiondescribed below isgreaterthan98%.

Events are reconstructed using a particle-ﬂow algorithm [36]

that reconstructs and identiﬁes each individual particle with an optimized combination ofall subdetector information. The miss-ingtransversemomentumvector

pmiss

T isdeﬁnedastheprojection ontotheplaneperpendiculartothebeamaxisofthenegative vec-torsumofthemomentaofallreconstructedparticle-ﬂowobjects inanevent.Itsmagnitudeisreferredtoaspmiss

T .

The reconstructed vertex with the largest value of summed physics-object p2_T is taken to be the primary pp interaction ver-tex.The physics objects are theobjects returned by ajet ﬁnding algorithm[37,38]appliedtoallchargedtracksassociatedwiththe vertex, plus the corresponding associated pmiss_T . Leptonsand jets arerequiredtooriginatefromtheprimaryvertex.

Electronsareidentiﬁedusingamultivariateclassiﬁer,which in-cludes observablessensitiveto bremsstrahlungalongthe electron trajectory, the geometrical and energy-momentum compatibility between the electron track and the associated energy cluster in the ECAL,theshapeofthe electromagneticshower, andvariables thatdiscriminateagainstelectronsoriginatingfromphoton conver-sions[20].

Muons are reconstructed by combining information from the silicontrackerandthemuon system[21].Thematchingbetween theinnerandoutertracksproceedseitheroutside-in,startingfrom atrackinthemuonsystem,orinside-out,startingfromatrackin thesilicontracker.Themuonsareselectedfromthereconstructed muon trackcandidates by applyingminimal requirementson the trackinboththemuonsystemandsilicontracker,andtakinginto accountcompatibilitywithsmallenergydepositsinthe calorime-ters.

In order to suppress electrons from photon conversions and muons originating from in-ﬂight decays of hadrons, we require thethree-dimensionalimpactparameterofeachleptontrack, com-putedwithrespecttotheprimary vertexposition,tobe lessthan fourtimestheuncertaintyontheimpactparameter.

Leptonsare requiredtobeisolated fromotherparticles inthe event.Therelativeisolationisdeﬁnedas

Riso

=

charged hadrons pT

+

max

0

,

neutral hadrons pT

+

photons pT

−

pPUT

p_T

,

(1)

where the sums run over the charged and neutral hadrons and photons,inaconedeﬁnedby

R

≡

(

η

)

2

+ (φ)

2

=

0

.

3 around theleptontrajectory.Tominimizethecontributionofcharged par-ticlesfrompileuptotheisolationcalculation,chargedhadronsare includedonly ifthey originate fromthe primaryvertex. The con-tributionofneutralparticlesfrompileupis pPU_T .Forelectrons,pPU_T

is evaluated withthe jet area method described inRef. [39].For muons, pPU

T is taken to be half the pT sum of all charged par-ticles in the cone originating from pileup vertices. The factor of one-halfaccountsfortheexpectedratioofchargedtoneutral par-ticleenergyinhadronicinteractions.LeptonswithRiso

<

0

.

35 are consideredisolated.

Theeﬃciencyoftheleptonreconstructionandselectionis mea-suredinbinsofp

T and

η

usingthetag-and-probetechnique.The measured eﬃcienciesareused tocorrectthesimulation.The lep-tonmomentumscalesarecalibratedinbinsofp_Tand

η

_using_the

decay products of known dilepton resonances. The electron mo-mentum scale for data iscorrected with a Z

→

e+e− sample by matchingthepeakofthereconstructeddielectronmassspectrum totheknownvalueofmZ.AGaussiansmearingoftheelectron en-ergies in the simulation is also applied to match the Z

→

e+e− mass resolution in data. Muon momenta are calibrated using a Kalmanﬁlterapproach[40],usingJ

/ψ

mesonandZ bosondecays. Analgorithmisusedtoidentifyﬁnal-stateradiation(FSR)from theleptons [41].Aphoton withpT

>

2 GeV andwithin aconeof

R

=

0

.

5 aroundthe leptonmomentumdirectionisselectedifit satisﬁes quality requirements.The FSRphotons identiﬁed by the algorithmareexcludedfromtheleptonisolationcomputation.

Jets are reconstructed fromparticle-flow candidates using the anti-kT clustering algorithm [37], asimplemented inthe FASTJET package [38],withadistanceparameterof0.4. Inordertoassure a good reconstruction efficiency and to reduce the instrumental backgroundaswell asthecontamination frompileup,loose iden-tification criteriabased onthe multiplicities andenergyfractions carriedby chargedandneutralhadronsare imposedon jets[42]. Onlyjetswith

|

η

|

<

4

.

7 areconsidered.

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Jet energy corrections are extractedfrom data and simulated eventsto account forthe effectsof pileup,uniformity ofthe de-tector response, and residual differences between the jet energy scaleinthedataandinthesimulation.Thejet energyscale cali-bration[43–45]reliesoncorrectionsparameterizedintermsofthe uncorrected pT and

η

ofthejet,andisappliedasamultiplicative factor,scaling thefour-momentum vector ofeach jet.In orderto ensurethatjetsarewell measuredandtoreducethepileup con-tamination,alljetsmusthaveacorrectedpT largerthan30 GeV.

A signal event must contain at least two Z candidates, each formed from pairs of isolated electrons or muons of oppo-site charges. Only reconstructed electrons (muons) with a pT

>

7

(

5

)

Withineach event, all permutations of leptons giving a valid pair of Z candidates are considered. For each ZZ candidate, the leptonpair withtheinvariant mass closest tothe nominalZ bo-son mass is denoted Z1 andis required to have a mass greater than40 GeV.TheotherdileptoncandidateisdenotedZ2.BothmZ1

andmZ2 are required to be less than 120 GeV. All pairs of

op-positely chargedleptons, regardlessofﬂavor, in theZZcandidate arerequiredtosatisfym

>

4 GeV tosuppressbackgroundsfrom

hadrondecays.

Ifmultiple ZZ candidates in an event pass this selection, the candidatewithmZ1 closest to the nominalZ bosonmass is

cho-sen.Intherarecase(0.3%)offurtherambiguity,whichmayarise ineventswithmorethanfourleptons,theZ2candidatethat max-imizesthescalar pT sumofthefourleptonsischosen.Finally,the Z1 andZ2candidatesmusthavemassesbetween60 and120 GeV. ThisselectionisreferredtoastheZZ selection.

ThesearchfortheEWproductionoftwoZ bosonsisperformed onasubsetofeventsthatpasstheZZ selection,namelythosethat featureatleasttwojets.Thejetsarerequiredtobeseparatedfrom theleptonsoftheZZ candidateby

jets processes. Thisreduciblecontributionisestimated from data by inverting the lepton selection criteria and weight-ingeventsincontrolregions usingalepton misidentiﬁcationrate whichisalsodeterminedfromdata.Twocontrolregions serveto

estimate the reducible background fromevents withone ortwo misidentiﬁedleptons,respectively.

Events inthecontrol regionwithone (two)misidentified lep-ton(s)satisfytheZZjj selection,withtheexceptionthatoneofthe Z boson candidates is constructed from one (two) lepton(s) that failtheidentificationorisolationcriteria.Thelepton misidentifica-tionrateismeasuredbyselectingeventsthatfeatureoneZ boson candidateanda thirdreconstructedlepton.Thefractionofevents forwhichthethirdleptonsatisfiestheidentificationandisolation criteriaistakenastheleptonmisidentificationrate.Theprocedure isidenticaltothatusedinRef.[35]andisdescribedinmoredetail inRef.[41].

6. Systematicuncertainties

Several sources of systematic uncertainty are considered and evaluated by varying each relevant parameter. The resulting changes tothe distributionof themultivariate discriminant,both inshapeandyield,aretakenintoaccount.Theimpactofthe vari-ationforeachsourceofuncertaintyissummarizedbelow.

Renormalization andfactorizationscale uncertainties are eval-uatedby varyingbothscales independentlybyfactorsoftwoand one-half, removing combinations where both variations differ by a factor of four, and amount to 10 (7)% for the dominant QCD background(EWsignal).ThePDF

+

α

svariationsareevaluated

fol-lowing the PDF4LHC prescription [46], and increase from 6% at low values of the multivariate discriminant to 9% in the signal-richregion.A40%uncertaintyintheyieldoftheloop-inducedZZjj backgroundisassigned.The impactofthejetenergyscale uncer-taintyamountsto20(4)%atlow(high)valuesofthemultivariate discriminant and the impact of the jet energy resolution uncer-taintyis8%[44,45].TheuncertaintiesintheQCDbackground nor-malization andthe jet energyscale are the dominant systematic uncertaintiesinthemeasurement.HigherorderEWcorrectionsin VBS processes areknown to be negative andatthe leveloftens ofpercent[47],butsuchcorrectionshavenotbeencalculatedfor theﬁnalstateconsideredinthispaper,andthereforearenot con-sideredhere.Nevertheless,theimpactofsuchNLOEWcorrections wouldbenegligibleinthisanalysis,whichislimitedbythelarge statistical uncertainty. The uncertainty in the lepton reconstruc-tion and selection eﬃciency is 6/4/2% in the 4e

/

2e2

μ

/

4

μ

final states, respectively. The uncertainty in the integrated luminosity is2.5% [48]. Thesystematicuncertaintyin thetriggerefficiencies isevaluatedby takingthedifference betweenthetrigger efficien-cies measured in data and in simulated events,and amounts to 2%.A 40%yielduncertaintyinthereduciblebackgroundestimate based ondata samplestakesinto account thelimitednumber of eventsinthecontrolregionsaswellasthemismatchinthe back-groundcomposition inthecontrol regionsused todeterminethe leptonmisidentificationratesandthecontrolregionsusedto esti-matetheyieldinthesignalregion.

7. SearchforEWZZjjproduction

The expected signal purity in the ZZjj selection is about 5%, with 83% of eventscoming from QCD-induced production. Addi-tionalkinematicselectionsarethereforenecessarytoenhancethe contribution from EW production. Fig. 2 shows the absolute di-jet pseudorapidity separation

|

η

jj

|

and the dijetinvariant mass

mjj for events passing the ZZjj selection. Table 1 shows the ex-pectedandobserved numberofeventsforthe ZZjj selectionand illustrates theincrease of theVBS signal purityobtainedwithan exemplaryselectionthatrequiresmjj

>

400 GeV and

|

η

jj

| >

2

.

4.

ThedeterminationofthesignalstrengthfortheEWproduction, i.e.,theratioofthemeasuredcrosssectiontotheSMexpectation

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Fig. 2. Distributionofthedijetpseudorapidityseparation(left)anddijetinvariantmass(right)foreventspassingtheZZjj selection,whichrequiresmjj>100 GeV.Points representthedata,ﬁlledhistogramstheexpectedsignalandbackgroundcontributions.Nodatabeyond|ηjj|>7 (left)andmjj>1600 GeV (right)isobserved.

Table 1

SignalandbackgroundyieldsfortheZZjj selectionandforanillustrativeVBSsignal-enrichedselectionthatrequiresmjj>400 GeV and|ηjj|>2.4.

Selection ttZ and WWZ QCD ZZjj Z+X Total bkg. EW ZZjj Total expected Data ZZjj 7.1±0.8 97±14 6.6±2.5 111±14 6.2±0.7 117±14 99 VBS signal-enriched 0.9±0.2 19±4 0.7±0.3 20±4 4±0.5 25±4 19

Fig. 3. DistributionoftheBDToutputinthecontrolregionobtainedbyselectingZZjj eventswithmjj<400 GeV or|ηjj|<2.4 (left)andfortheZZjj selection(right).Points

representthedata,ﬁlledhistogramstheexpectedsignalandbackgroundcontributions.

μ

=

σ

/

σ

SM,employsamultivariatediscriminanttooptimally sep-aratethesignal andtheQCD background.Thescikit-learn frame-work [49] is used to train and optimize a boosted decisiontree (BDT)onsimulatedeventstoexploitthekinematicdifferences be-tweentheEWsignal andtheQCD background.Seven observables areusedintheBDT,includingmjj,

|

η

jj

|

,mZZ,aswellasthe Zep-penfeld variables [8]

η

∗_Z_i

=

η

Zi

− (

η

jet 1

+

η

jet 2

)/

2 of the two Z

bosons,andtheratiobetweenthepTofthetaggingjetsystemand the scalar pT sumof the taggingjets. The BDT also exploitsthe eventbalance Rphard

T , whichis deﬁnedasthe transverse compo-nentofthevectorsumoftheZ bosonsandtaggingjetsmomenta, normalizedtothescalar pTsumofthesameobjects[50].

Atotalof36discriminatingvariablesincludingobservables sen-sitive to parton emissions betweenthe tagging jets, the produc-tion anddecay angles of the leptons, Z bosons, and tagging jets aswellasquark–gluontagginginformationare consideredinthe

BDT training.Observablesthatdonotimprovetheareaunderthe signal-versus-backgroundeﬃciencycurve(AUC)areremovedfrom the BDT.The observablessensitivetoextra partonemissions pro-vide little marginal AUC increase and are not retained because of the limited modeling accuracy in the simulation. The tunable hyper-parameters oftheBDT trainingalgorithmare optimizedvia a grid-search algorithm. Finally,the BDT performance is checked using amatrix element approach[51–53] that provides a similar separationbetweenthesignalandbackgroundprocesses.

To validate the modeling of the backgrounds in the search, a QCD-enrichedcontrolregionisdeﬁnedbyselectingeventswith

mjj

<

400 GeV or

|

η

jj

|

<

2

.

4. Good agreement is observed be-tween the data and SM expectation in this control region, as shown in Fig. 3 (left). The classiﬁer output distribution for all events inthe ZZjj selection includingthehigh signal purity con-tributionatlargeBDToutputvaluesisshowninFig. 3(right).

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Table 2

Expectedandobservedlowerandupper95%CLlimitsonthecouplingsofthequarticoperatorsT0,T1,andT2, aswellastheneutralcurrentoperatorsT8andT9.Theunitarityboundsarealsolisted.Allcouplingparameter limitsareinTeV−4_,_while_the_unitarity_bounds_are_in_TeV.

Coupling Exp. lower Exp. upper Obs. lower Obs. upper Unitarity bound

fT0/4 −0.53 0.51 −0.46 0.44 2.5

fT1/4 −0.72 0.71 −0.61 0.61 2.3

fT2/4 −1.4 1.4 −1.2 1.2 2.4

fT8/4 −0.99 0.99 −0.84 0.84 2.8

fT9/4 −2.1 2.1 −1.8 1.8 2.9

The BDT distribution of the events in the ZZjj selection is usedtoextract thesignificanceoftheEWsignalviaa maximum-likelihoodfit.Theexpecteddistributionsforthesignalandthe ir-reduciblebackgroundsaretakenfromthesimulationwhilethe re-duciblebackgroundisestimatedfromthedata.Theshapeand nor-malizationofeachdistributionareallowedtovaryinthefitwithin therespectiveuncertainties.Thisapproachconstrains theyieldof theQCD-inducedproductionfromthebackground-enrichedregion oftheBDTdistribution.

The systematic uncertainties are treated as nuisance parame-tersinthefitandprofiled[54].The post-fitvaluesare thenused toextract thesignal strength. Thesignal strength ismeasured to be

μ

The measured signal strength is used to determine the ﬁdu-cial cross section for the EW production. The ﬁducial volume is almost identical to the selections imposed at the reconstruction level, the only difference being the lepton thresholds of p_T

>

5 GeV and

|

η

|

_<

₂

_.

_5._The_{generator-level}_lepton_momenta_are

cor-rectedby addingthe momentaof generator-levelphotons within

R

(,

γ

)

<

0

.

1.The kinematicselection of theZ bosons andthe ﬁnalZZjj candidateproceedsasthereconstruction-levelselection. Theobservedsignalstrengthcorrespondstoaﬁducialcrosssection of

σ

EW

(

pp

→

ZZjj

→

jj

)

=

0

.

40+₋00..2116(stat)+

0.13

−0.09(syst) fb, com-patiblewiththeSMpredictionof0

.

29₋+0₀._.02₀₃fb.

8. Limitsonanomalousquarticgaugecouplings

TheeventsintheZZjj selectionareusedtoconstrainaQGCsin theeffectiveﬁeldtheoryapproach.TheZZjj channelissensitiveto theoperatorsT0, T1,andT2,aswellastheneutralcurrent opera-torsT8andT9[7].Theformeroperatorsareconstructedfromthe SUL

(

2

)

gaugeﬁelds,whilethelatteronlyinvolvetheUY

(

1

)

ﬁelds.

Asaconsequence,theT8andT9operatorsareexperimentally ac-cessible only via ﬁnal states involving the neutralgauge bosons. Theeffectof anonzero aQGC isto enhancethe productioncross sectionatlargemassesoftheZZ system.ThusthemZZdistribution isusedtoconstraintheaQGCparameters fTi

/

4.Theincreaseof theyieldexhibitsaquadraticdependenceontheanomalous cou-pling,andaparabolicfunctionisfittedtotheper-massbinyields, allowing for an interpolation between the discrete coupling pa-rametersofthe simulatedsignals. Thestatisticalanalysisemploys thesamemethodologyusedforthesignalstrength,includingthe profiling ofthe systematic uncertainties. The distributions of the backgroundmodel,including theEW component, are normalized totheir respectiveSMpredictions.TheWaldGaussian approxima-tionand Wilks’ theoremare used to derive 95% confidencelevel (CL)limitsontheaQGC parameters[55–57].The measurementis statisticallylimited.

Fig. 4showstheexpectedmZZ distributionfortheSMandtwo aQGCscenarios. Table 2lists theindividuallower andupper lim-its obtainedby setting all other anomalous couplings to zero, as well as the unitarity bound. The unitarity bound is determined

Fig. 4. ThemZZdistributionintheZZjj selectiontogetherwiththeSMprediction

and twohypothesesfor the aQGCcouplingstrengths. Pointsrepresentthedata, ﬁlled histogramsthe expectedsignaland backgroundcontributions. Thelastbin includesallcontributionswithmZZ>1200 GeV.

using the VBFNLO framework [58] as the scattering energy mZZ at which the aQGC coupling strength set equal to the observed limitwouldresultinascatteringamplitudethatviolatesunitarity. Thesearethe moststringentlimitstodateontheaQGC parame-ters fT0,1,2

/

4and fT8,9

/

4.

9. Summary

A search was performed for vector boson scattering in the four-lepton andtwo-jet ﬁnal state using proton–protoncollisions at 13 TeV. The data correspond to an integrated luminosity of 35.9 fb−1 collectedwiththeCMSdetectorattheLHC.

The electroweak production of two Z bosons in association withtwo jets was measured withan observed (expected) signif-icance of 2.7(1.6) standard deviations.The ﬁducialcross section is

σ

EW

(

pp

→

ZZjj

→

jj

)

=

0

.

40+₋₀0._.21₁₆(stat)+₋0₀._.13₀₉(syst) fb, con-sistentwiththestandardmodelpredictionof0

.

(7)

Acknowledgements

WecongratulateourcolleaguesintheCERNaccelerator depart-ments for the excellent performance of the LHC and thank the technicalandadministrativestaffs atCERN andatother CMS in-stitutes for their contributions to the success of the CMS effort. Inaddition,wegratefullyacknowledgethecomputingcentresand personneloftheWorldwideLHCComputingGridfordeliveringso effectivelythe computinginfrastructureessential to ouranalyses. Finally, we acknowledge the enduring support for the construc-tionandoperation oftheLHCandthe CMSdetectorprovidedby thefollowingfundingagencies:BMWFWandFWF(Austria);FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MOST, and NSFC (China); COLCIEN-CIAS(Colombia);MSESandCSF(Croatia);RPF(Cyprus);SENESCYT (Ecuador); MoER, ERC IUT, and ERDF (Estonia); Academy of Fin-land,MEC,andHIP(Finland);CEAandCNRS/IN2P3(France);BMBF, DFG, and HGF (Germany); GSRT (Greece); OTKA and NIH (Hun-gary);DAEandDST(India);IPM(Iran);SFI(Ireland);INFN(Italy); MSIPandNRF(RepublicofKorea);LAS (Lithuania);MOE andUM (Malaysia); BUAP, CINVESTAV,CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland);FCT(Portugal);JINR(Dubna);MON,RosAtom,RAS,RFBR andRAEP(Russia);MESTD (Serbia);SEIDI,CPAN,PCTI andFEDER (Spain);SwissFundingAgencies(Switzerland);MST(Taipei); ThEP-Center, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey);NASUandSFFR(Ukraine); STFC(United Kingdom);DOE andNSF(USA).

Individuals have received support from the Marie-Curie pro-gramme and the European Research Council and Horizon 2020 Grant,contract No. 675440 (EuropeanUnion);theLeventis Foun-dation;the A. P. Sloan Foundation; theAlexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pourlaFormationàlaRecherchedansl’Industrieetdans l’Agricul-ture (FRIA-Belgium); the Agentschapvoor Innovatie door Weten-schap en Technologie (IWT-Belgium); the Ministry of Education, YouthandSports(MEYS)oftheCzechRepublic;theCouncilof Sci-enceandIndustrialResearch,India;theHOMINGPLUSprogramme of the Foundation for Polish Science, cofinanced from European Union,Regional DevelopmentFund,the MobilityPlusprogramme oftheMinistryofScienceandHigherEducation,theNational Sci-ence Center (Poland), contracts Harmonia 2014/14/M/ST2/00428, Opus2014/13/B/ST2/02543,2014/15/B/ST2/03998,and2015/19/B/ ST2/02861, Sonata-bis 2012/07/E/ST2/01406; the National Priori-tiesResearchProgram byQatar NationalResearch Fund;the Pro-gramaClarín-COFUND del Principado de Asturias;the Thalis and Aristeia programmes cofinanced by EU-ESF andthe Greek NSRF; theRachadapisekSompotFundforPostdoctoralFellowship, Chula-longkornUniversityandtheChulalongkornAcademicintoIts 2nd Century Project Advancement Project (Thailand); and the Welch Foundation,contractC-1845.

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TheCMSCollaboration

A.M. Sirunyan,

A. Tumasyan

YerevanPhysicsInstitute,Yerevan,Armenia

W. Adam,

F. Ambrogi,

E. Asilar,

T. Bergauer,

J. Brandstetter,

E. Brondolin,

M. Dragicevic,

J. Erö,

M. Flechl,

M. Friedl,

R. Frühwirth

1

,

V.M. Ghete,

J. Grossmann,

J. Hrubec,

M. Jeitler

1

,

A. König,

N. Krammer,

I. Krätschmer,

D. Liko,

T. Madlener,

I. Mikulec,

E. Pree,

D. Rabady,

N. Rad,

H. Rohringer,

J. Schieck

1

,

R. Schöfbeck,

M. Spanring,

D. Spitzbart,

W. Waltenberger,

J. Wittmann,

C.-E. Wulz

1

,

M. Zarucki

InstitutfürHochenergiephysik,Wien,Austria

V. Chekhovsky,

V. Mossolov,

J. Suarez Gonzalez

InstituteforNuclearProblems,Minsk,Belarus

E.A. De Wolf,

D. Di Croce,

X. Janssen,

J. Lauwers,

H. Van Haevermaet,

P. Van Mechelen,

N. Van Remortel

(9)

S. Abu Zeid,

F. Blekman,

J. D’Hondt,

I. De Bruyn,

J. De Clercq,

K. Deroover,

G. Flouris,

D. Lontkovskyi,

S. Lowette,

S. Moortgat,

L. Moreels,

Q. Python,

K. Skovpen,

S. Tavernier,

W. Van Doninck,

P. Van Mulders,

I. Van Parijs

VrijeUniversiteitBrussel,Brussel,Belgium

H. Brun,

B. Clerbaux,

G. De Lentdecker,

H. Delannoy,

G. Fasanella,

L. Favart,

R. Goldouzian,

A. Grebenyuk,

G. Karapostoli,

T. Lenzi,

J. Luetic,

T. Maerschalk,

A. Marinov,

A. Randle-conde,

T. Seva,

C. Vander Velde,

P. Vanlaer,

D. Vannerom,

R. Yonamine,

F. Zenoni,

F. Zhang

2

UniversitéLibredeBruxelles,Bruxelles,Belgium

A. Cimmino,

T. Cornelis,

D. Dobur,

A. Fagot,

M. Gul,

I. Khvastunov,

D. Poyraz,

C. Roskas,

S. Salva,

M. Tytgat,

W. Verbeke,

N. Zaganidis

GhentUniversity,Ghent,Belgium

H. Bakhshiansohi,

O. Bondu,

S. Brochet,

G. Bruno,

C. Caputo,

A. Caudron,

S. De Visscher,

C. Delaere,

M. Delcourt,

B. Francois,

A. Giammanco,

A. Jafari,

M. Komm,

G. Krintiras,

V. Lemaitre,

A. Magitteri,

A. Mertens,

M. Musich,

K. Piotrzkowski,

L. Quertenmont,

M. Vidal Marono,

S. Wertz

UniversitéCatholiquedeLouvain,Louvain-la-Neuve,Belgium

N. Beliy

UniversitédeMons,Mons,Belgium

W.L. Aldá Júnior,

F.L. Alves,

G.A. Alves,

L. Brito,

M. Correa Martins Junior,

C. Hensel,

A. Moraes,

M.E. Pol,

P. Rebello Teles

CentroBrasileirodePesquisasFisicas,RiodeJaneiro,Brazil

E. Belchior Batista Das Chagas,

W. Carvalho,

J. Chinellato

3

,

A. Custódio,

E.M. Da Costa,

G.G. Da Silveira

4

,

D. De Jesus Damiao,

S. Fonseca De Souza,

L.M. Huertas Guativa,

H. Malbouisson,

M. Melo De Almeida,

C. Mora Herrera,

L. Mundim,

H. Nogima,

A. Santoro,

A. Sznajder,

E.J. Tonelli Manganote

3

,

F. Torres Da Silva De Araujo,

A. Vilela Pereira

,

J.C. Ruiz Vargas

a

a_Universidade_Estadual_Paulista,_São_Paulo,_Brazil b_Universidade_Federal_do_ABC,_São_Paulo,_Brazil

A. Aleksandrov,

R. Hadjiiska,

P. Iaydjiev,

M. Misheva,

M. Rodozov,

M. Shopova,

S. Stoykova,

G. Sultanov

InstituteforNuclearResearchandNuclearEnergyofBulgariaAcademyofSciences,Bulgaria

A. Dimitrov,

I. Glushkov,

L. Litov,

B. Pavlov,

P. Petkov

UniversityofSoﬁa,Soﬁa,Bulgaria

W. Fang

5

,

X. Gao

5

BeihangUniversity,Beijing,China

M. Ahmad,

J.G. Bian,

G.M. Chen,

H.S. Chen,

M. Chen,

Y. Chen,

C.H. Jiang,

D. Leggat,

H. Liao,

Z. Liu,

F. Romeo,

S.M. Shaheen,

A. Spiezia,

J. Tao,

C. Wang,

Z. Wang,

E. Yazgan,

H. Zhang,

J. Zhao

(10)

Y. Ban,

G. Chen,

Q. Li,

S. Liu,

Y. Mao,

S.J. Qian,

D. Wang,

Z. Xu

StateKeyLaboratoryofNuclearPhysicsandTechnology,PekingUniversity,Beijing,China

C. Avila,

A. Cabrera,

L.F. Chaparro Sierra,

C. Florez,

C.F. González Hernández,

J.D. Ruiz Alvarez

UniversidaddeLosAndes,Bogota,Colombia

B. Courbon,

N. Godinovic,

D. Lelas,

I. Puljak,

P.M. Ribeiro Cipriano,

T. Sculac

UniversityofSplit,FacultyofElectricalEngineering,MechanicalEngineeringandNavalArchitecture,Split,Croatia

Z. Antunovic,

M. Kovac

UniversityofSplit,FacultyofScience,Split,Croatia

V. Brigljevic,

D. Ferencek,

K. Kadija,

B. Mesic,

A. Starodumov

6

,

T. Susa

InstituteRudjerBoskovic,Zagreb,Croatia

M.W. Ather,

A. Attikis,

G. Mavromanolakis,

J. Mousa,

C. Nicolaou,

F. Ptochos,

P.A. Razis,

H. Rykaczewski

UniversityofCyprus,Nicosia,Cyprus

M. Finger

7

,

M. Finger Jr.

7

CharlesUniversity,Prague,CzechRepublic

E. Carrera Jarrin

UniversidadSanFranciscodeQuito,Quito,Ecuador

Y. Assran

8

,

9

,

S. Elgammal

9

,

A. Mahrous

10

AcademyofScientiﬁcResearchandTechnologyoftheArabRepublicofEgypt,EgyptianNetworkofHighEnergyPhysics,Cairo,Egypt

R.K. Dewanjee,

M. Kadastik,

L. Perrini,

M. Raidal,

A. Tiko,

C. Veelken

NationalInstituteofChemicalPhysicsandBiophysics,Tallinn,Estonia

P. Eerola,

J. Pekkanen,

M. Voutilainen

DepartmentofPhysics,UniversityofHelsinki,Helsinki,Finland

J. Härkönen,

T. Järvinen,

V. Karimäki,

R. Kinnunen,

T. Lampén,

K. Lassila-Perini,

S. Lehti,

T. Lindén,

P. Luukka,

E. Tuominen,

J. Tuominiemi,

E. Tuovinen

HelsinkiInstituteofPhysics,Helsinki,Finland

J. Talvitie,

T. Tuuva

LappeenrantaUniversityofTechnology,Lappeenranta,Finland

M. Besancon,

F. Couderc,

M. Dejardin,

D. Denegri,

J.L. Faure,

F. Ferri,

S. Ganjour,

S. Ghosh,

A. Givernaud,

P. Gras,

G. Hamel de Monchenault,

P. Jarry,

I. Kucher,

E. Locci,

M. Machet,

J. Malcles,

G. Negro,

J. Rander,

A. Rosowsky,

M.Ö. Sahin,

M. Titov

IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France

A. Abdulsalam,

I. Antropov,

S. Baﬃoni,

F. Beaudette,

P. Busson,

L. Cadamuro,

C. Charlot,

R. Granier de Cassagnac,

M. Jo,

S. Lisniak,

A. Lobanov,

J. Martin Blanco,

M. Nguyen,

C. Ochando,

G. Ortona,

P. Paganini,

P. Pigard,

S. Beauceron,

C. Bernet,

G. Boudoul,

R. Chierici,

D. Contardo,

P. Depasse,

H. El Mamouni,

J. Fay,

L. Finco,

S. Gascon,

M. Gouzevitch,

G. Grenier,

B. Ille,

F. Lagarde,

I.B. Laktineh,

M. Lethuillier,

L. Mirabito,

A.L. Pequegnot,

S. Perries,

A. Popov

12

,

V. Sordini,

M. Vander Donckt,

S. Viret

UniversitédeLyon,UniversitéClaudeBernardLyon1,CNRS-IN2P3,InstitutdePhysiqueNucléairedeLyon,Villeurbanne,France

A. Khvedelidze

7

GeorgianTechnicalUniversity,Tbilisi,Georgia

Z. Tsamalaidze

7

TbilisiStateUniversity,Tbilisi,Georgia

C. Autermann,

S. Beranek,

L. Feld,

M.K. Kiesel,

K. Klein,

M. Lipinski,

M. Preuten,

C. Schomakers,

J. Schulz,

T. Verlage

RWTHAachenUniversity,I.PhysikalischesInstitut,Aachen,Germany

A. Albert,

E. Dietz-Laursonn,

D. Duchardt,

M. Endres,

M. Erdmann,

S. Erdweg,

T. Esch,

R. Fischer,

A. Güth,

M. Hamer,

T. Hebbeker,

C. Heidemann,

K. Hoepfner,

S. Knutzen,

M. Merschmeyer,

A. Meyer,

P. Millet,

S. Mukherjee,

M. Olschewski,

K. Padeken,

T. Pook,

M. Radziej,

H. Reithler,

M. Rieger,

F. Scheuch,

D. Teyssier,

S. Thüer

RWTHAachenUniversity,III.PhysikalischesInstitutA,Aachen,Germany

G. Flügge,

B. Kargoll,

T. Kress,

A. Künsken,

J. Lingemann,

T. Müller,

A. Nehrkorn,

A. Nowack,

C. Pistone,

O. Pooth,

A. Stahl

13

RWTHAachenUniversity,III.PhysikalischesInstitutB,Aachen,Germany

M. Aldaya Martin,

T. Arndt,

C. Asawatangtrakuldee,

K. Beernaert,

O. Behnke,

U. Behrens,

A. Bermúdez Martínez,

A.A. Bin Anuar,

K. Borras

14

,

V. Botta,

A. Campbell,

P. Connor,

C. Contreras-Campana,

F. Costanza,

C. Diez Pardos,

G. Eckerlin,

D. Eckstein,

T. Eichhorn,

E. Eren,

E. Gallo

15

,

J. Garay Garcia,

A. Geiser,

A. Gizhko,

J.M. Grados Luyando,

A. Grohsjean,

P. Gunnellini,

M. Guthoff,

A. Harb,

J. Hauk,

M. Hempel

16

,

H. Jung,

A. Kalogeropoulos,

M. Kasemann,

J. Keaveney,

C. Kleinwort,

I. Korol,

D. Krücker,

W. Lange,

A. Lelek,

T. Lenz,

J. Leonard,

K. Lipka,

W. Lohmann

16

,

R. Mankel,

I.-A. Melzer-Pellmann,

A.B. Meyer,

G. Mittag,

J. Mnich,

A. Mussgiller,

E. Ntomari,

D. Pitzl,

A. Raspereza,

B. Roland,

M. Savitskyi,

P. Saxena,

R. Shevchenko,

S. Spannagel,

N. Stefaniuk,

G.P. Van Onsem,

R. Walsh,

Y. Wen,

K. Wichmann,

C. Wissing,

O. Zenaiev

DeutschesElektronen-Synchrotron,Hamburg,Germany

S. Bein,

V. Blobel,

M. Centis Vignali,

T. Dreyer,

E. Garutti,

D. Gonzalez,

J. Haller,

A. Hinzmann,

M. Hoffmann,

A. Karavdina,

R. Klanner,

R. Kogler,

N. Kovalchuk,

S. Kurz,

T. Lapsien,

I. Marchesini,

D. Marconi,

M. Meyer,

M. Niedziela,

D. Nowatschin,

F. Pantaleo

13

,

T. Peiffer,

A. Perieanu,

C. Scharf,

P. Schleper,

A. Schmidt,

S. Schumann,

J. Schwandt,

J. Sonneveld,

H. Stadie,

G. Steinbrück,

F.M. Stober,

M. Stöver,

H. Tholen,

D. Troendle,

E. Usai,

L. Vanelderen,

A. Vanhoefer,

B. Vormwald

(12)

M. Akbiyik,

C. Barth,

S. Baur,

E. Butz,

R. Caspart,

T. Chwalek,

F. Colombo,

W. De Boer,

A. Dierlamm,

B. Freund,

R. Friese,

M. Giffels,

A. Gilbert,

D. Haitz,

F. Hartmann

13

,

S.M. Heindl,

U. Husemann,

F. Kassel

13

,

S. Kudella,

H. Mildner,

M.U. Mozer,

Th. Müller,

M. Plagge,

G. Quast,

K. Rabbertz,

M. Schröder,

I. Shvetsov,

G. Sieber,

H.J. Simonis,

R. Ulrich,

S. Wayand,

M. Weber,

T. Weiler,

S. Williamson,

C. Wöhrmann,

R. Wolf

InstitutfürExperimentelleKernphysik,Karlsruhe,Germany

G. Anagnostou,

G. Daskalakis,

T. Geralis,

V.A. Giakoumopoulou,

A. Kyriakis,

D. Loukas,

I. Topsis-Giotis

InstituteofNuclearandParticlePhysics(INPP),NCSRDemokritos,AghiaParaskevi,Greece

G. Karathanasis,

S. Kesisoglou,

A. Panagiotou,

N. Saoulidou

NationalandKapodistrianUniversityofAthens,Athens,Greece

I. Evangelou,

C. Foudas,

P. Kokkas,

S. Mallios,

N. Manthos,

I. Papadopoulos,

E. Paradas,

J. Strologas,

F.A. Triantis

UniversityofIoánnina,Ioánnina,Greece

M. Csanad,

N. Filipovic,

G. Pasztor,

G.I. Veres

17

MTA-ELTELendületCMSParticleandNuclearPhysicsGroup,EötvösLorándUniversity,Budapest,Hungary