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Physics Letters B
www.elsevier.com/locate/physletb
Constraints on non-Standard Model Higgs boson interactions in an effective Lagrangian using differential cross sections measured in the H → γ γ decay channel at √
s = 8 TeV with the ATLAS detector
.ATLASCollaboration
a r t i c l e i n f o a b s t ra c t
Articlehistory:
Received12August2015
Receivedinrevisedform30November2015 Accepted30November2015
Availableonline2December2015 Editor:W.-D.Schlatter
The strengthand tensorstructure oftheHiggsboson’sinteractionsare investigatedusingan effective Lagrangian, whichintroducesadditional CP-even and CP-oddinteractions that leadto changesin the kinematicpropertiesoftheHiggsbosonandassociatedjetspectrawithrespecttotheStandardModel.
The parameters of the effective Lagrangian are probed using a fit to five differential cross sections previously measured by the ATLAS experiment in the H→γ γ decay channel with an integrated luminosityof20.3 fb−1at√s
=8 TeV.In ordertoperformasimultaneousfittothefivedistributions, thestatisticalcorrelationsbetweenthemaredeterminedbyre-analysingthe H→γ γ candidateevents intheproton–proton collisiondata.Nosignificantdeviationsfromthe StandardModelpredictionsare observedand limitsontheeffectiveLagrangianparametersare derived.Thestatisticalcorrelationsare madepubliclyavailabletoallowforfutureanalysisoftheorieswithnon-StandardModelinteractions.
©2015CERNforthebenefitoftheATLASCollaboration.PublishedbyElsevierB.V.Thisisanopen accessarticleundertheCCBYlicense(http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.
1. Introduction
Thediscovery ofaHiggsbosonattheATLAS andCMSexperi- ments[1,2]offersanewopportunitytosearchforphysicsbeyond the Standard Model (SM) by examining the strength and struc- ture ofthe Higgs boson’s interactions with other particles. Thus far, the interactions of the Higgs boson have been probed using the κ-framework[3],in whichthestrengthofagivencouplingis allowedtovaryfromtheSMpredictionbyaconstantvalue.In this approach,thetotal rateofa givenproductionanddecay channel candifferfromtheSMprediction,butthekinematicpropertiesof theHiggsbosonineachdecaychannelareunchanged.
An alternative framework for probing physics beyond the SM istheeffectivefieldtheory(EFT)approach[3–8],wherebytheSM Lagrangianisaugmentedbyadditionaloperators ofdimensionsix orhigher.Some oftheseoperatorsproducenewtensorstructures fortheinteractionsbetweentheHiggsbosonandtheSMparticles, whichcanmodifytheshapesoftheHiggsbosonkinematicdistri- butionsaswellastheassociatedjetspectra.Thenewinteractions ariseasthelow-energymanifestationofnewphysicsthatexistsat energyscalesmuch largerthanthe partoniccentre-of-massener- giesbeingprobed.
InthisLetter,the effectsofoperators thatproduce anomalous CP-even and CP-odd interactions between the Higgs boson and
E-mailaddress:[email protected].
photons,gluons,W bosonsandZ bosonsarestudiedusinganEFT- inspiredeffectiveLagrangian.Theanalysisisperformedusingasi- multaneousfittofivedetector-correcteddifferentialcrosssections in the H→γ γ decay channel,which were previously published bytheATLASCollaboration[9].Thesearethedifferentialcrosssec- tions asfunctions of the diphoton transverse momentum (pγ γ
T ), thenumberofjetsproducedinassociationwiththediphotonsys- tem (Njets), the leading-jet transverse momentum (pTj1), and the invariant mass (mj j) anddifference in azimuthal angle(φj j) of theleadingandsub-leadingjetsineventscontainingtwoormore jets.Theinclusionofdifferentialinformationsignificantlyimproves thesensitivitytooperators thatmodifytheHiggsboson’sinterac- tions with W and Z bosons.To performa simultaneous analysis ofthese distributions, thestatisticalcorrelations betweenbins of different distributions need to be included in the fit procedure.
These correlations are evaluated by analysing the H→γ γ can- didateeventsinthedata,andarepublished aspartofthisLetter toallowfuturestudiesofnewphysicsthatproducesnon-SMkine- maticdistributionsforH→γ γ.
2. HiggseffectiveLagrangian
The effective Lagrangian used in this analysisis presented in Ref. [8].In thismodel,the SMLagrangian isaugmented withthe dimension sixCP-evenoperators oftheStronglyInteracting Light Higgs formulation [6] and corresponding CP-odd operators. The H→γ γ differential cross sections are mainly sensitive to the http://dx.doi.org/10.1016/j.physletb.2015.11.071
0370-2693/©2015CERNforthebenefitoftheATLASCollaboration.PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.
operators that affect the Higgs boson’s interactions with gauge bosons andtherelevantterms intheeffective Lagrangiancan be specifiedby
Leff= ¯cγOγ+ ¯cgOg+ ¯cHWOHW+ ¯cHBOHB
+ ˜cγO˜γ+ ˜cgO˜g+ ˜cHWO˜HW+ ˜cHBO˜HB,
where c¯i and c˜i are ‘Wilson coefficients’ specifying the strength ofthenewCP-evenandCP-oddinteractions,respectively,andthe dimension-six operators Oi are those described in Refs. [8,10].
In the SM, all of the Wilson coefficients are equal to zero. The Oγ and O˜γ operators introduce new interactions between the Higgs boson and two photons. The Og and O˜g operators intro- duce new interactions betweenthe Higgs boson andtwo gluons andtheanalysispresentedin thisLetteris sensitiveto theseop- eratorsthroughthegluonfusionproductionmechanism.TheOHW andO˜HW operators introduce new HWW,HZZ and HZγ interac- tions.TheHZZ andHZγ interactionsarealsoimpactedbyOHBand O˜HBand,toalesserextent,Oγ andO˜γ .Theanalysispresentedin thisLetter issensitivetotheOHW,O˜HW,OHB andO˜HB operators throughvector-bosonfusionandassociatedproduction.
Other operators inthe fulleffective Lagrangianof Ref.[8]can alsomodifyHiggsbosoninteractions.Combinationsofsomeofthe CP-evenoperators havebeen constrained usingglobal fits to ex- perimentaldatafromLEPandtheLHC[8,11,12].
3. Statisticalcorrelationsbetweendifferentialdistributions
ATLAS [13] is a multipurpose particle physics detector with cylindricalgeometryandnearly 4π coverage insolid angle.1 The analysis is performed using proton–proton collision data at a centre-of-massenergy√
s=8 TeV andanintegratedluminosityof 20.3 fb−1.
The object and event selections used to define the differen- tialdistributions aredescribed indetail inRef. [9].The statistical correlations between the measured cross sections as a function of different distributions are obtained using a random sampling withreplacement method onthe detector-level data.This proce- dureisoftenreferredtoas‘bootstrapping’[14].Bootstrappedevent samplesare constructedfromthe databy assigning eacheventa weightpulledfromaPoissondistributionwithunitmean.Thefive differentialdistributionsarethenreconstructedusingtheweighted events,andthesignalyields ineachbinofadifferential distribu- tionaredeterminedusinganunbinnedmaximum-likelihoodfitof the diphoton invariant mass spectrum (full details of the fit can befoundinRef.[9]).Theprocedureisrepeated10 000timeswith statisticallyindependentweightsandthecorrelationbetweentwo binsofdifferentdistributionsisdeterminedfromthescattergraph ofthecorrespondingextractedcrosssections.Theobservedcorre- lationsbetweenbinsofthemeasured pγ γ
T andNjetscrosssections areshowninFig. 1.
Thestatisticaluncertaintiesonthecorrelationduetothefinite numberofbootstrap samples rangesfrom0.5% to 1%.The statis- ticaluncertainty on the correlationsdue tothe finite number of eventsin dataisdetermined to be lessthan2% using thestatis- tical overlap and variance of signal andbackground events in a masswindow around the Higgsboson mass.In orderto validate thisapproach,asetofpseudo-experimentswascreatedfrominput
1 ATLASusesaright-handedcoordinatesystemwithitsoriginatthenominalin- teractionpoint(IP)atthecentreofthedetectorandthez-axisalongthebeampipe.
Thex-axispointsfromtheIPtothecentreoftheLHCring,andthey-axispoints upward.Cylindricalcoordinates(r,φ)areusedinthetransverseplane,φbeingthe azimuthalanglearoundthebeampipe.
Fig. 1. Statisticalcorrelationsbetweenthemeasuredcrosssectionsinbinsofthe diphotontransversemomentumandjetmultiplicitydistributions.Thequotedun- certainties refer tothe total statisticaluncertainty due tothe finite number of bootstrappedsamplesandthefinitenumberofdataevents.
conditions(withknowncorrelations)chosentobesimilartothose in data in termsof purity, kinematics and sample size. Foreach pseudo-experiment,avalueforthecorrelationisdeterminedusing 10 000 bootstrapped samples andcomparedto the input correla- tions. No biasduetothebootstrappingisobserved inthecentral valueobtainedfrom500pseudo-experiments.
As part of this Letter, the correlations computed above are madepubliclyavailableinHEPDATA[15],allowingtheanalysisto be repeated usingalternative effectiveLagrangians, completeEFT frameworks, or other models with non-SM Higgs boson interac- tions.
4. Theoreticalpredictions
The effective Lagrangian has been implemented in FeynRules [10].2 Parton-leveleventsamplesareproduced forspecificvalues ofWilsoncoefficientsbyinterfacingtheuniversalfileoutputfrom FeynRules to the Madgraph5 [17] event generator. Higgs boson productionviagluonfusionisproducedwithuptotwoadditional partonsinthefinalstateusingleading-ordermatrixelements.The 0-, 1- and 2-parton events are mergedusing the MLM matching scheme [18] and passed through the Pythia6 generator [19] to create the fully hadronic final state. Event samples containing a Higgs boson produced either in association with a vector boson or via vector-bosonfusion are produced using leading-order ma- trixelementsandpassedthroughthe Pythia6generator.Foreach production mode, the Higgs boson mass is set to 125 GeV [20]
and events are generated using the CTEQ6L1 parton distribution functionandtheAUET2parameterset[21].AllotherHiggsboson productionmodesareassumedtooccuraspredictedbytheSM.
EventsamplesareproducedfordifferentvaluesofagivenWil- son coefficient. The particle-level differential cross sections are produced using Rivet[22].The Professor method[23] isusedto interpolatebetweenthesesamples,foreach binofeach distribu- tion, and provides a parameterisation of the effectiveLagrangian prediction. The parameterisation function is determined using 11 samples when studying a single Wilson coefficient, whereas
2 The implementationin Ref.[10] involvesa redefinitionofthe gauge boson propagatorsthatresultsinunphysicalamplitudesunlesscertainphysicalconstants arealsoredefined.Theoriginalimplementationdidnotincludetheredefinitionof thesephysicalconstants.However,theimpactofredefiningthephysicalconstantsis foundtobelessthan1%onthepredictedcrosssectionsacrosstherangeofWilson coefficientsstudied.TherelativechangeinthepredictedHiggsbosoncrosssections asfunctionsofthedifferentWilsoncoefficientsisalsofoundtoagreewiththat predictedbytheHiggscharacterisationframework[16],withlessthan2%variation acrosstheparameterrangesstudied.
25 samplesareusedwhenstudyingtwoWilsoncoefficientssimul- taneously.As theWilsoncoefficientsentertheeffectiveLagrangian in a linear fashion, second-order polynomials are used to pre- dictthecross sectionsineach bin.Themethod wasvalidated by comparing the differential cross sections obtained with the pa- rameterisationfunctiontothepredictionsobtainedwithdedicated eventsamplesgeneratedatthespecificpointinparameterspace.
The model implemented in FeynRules fixes the Higgs boson width to be that of the SM, H =4.07 MeV [3]. The cross sec- tions are scaled by H/(H + ), where is the change in partial width due to a specific choice of Wilson coefficient. The changeinpartialwidthisdeterminedforeachHiggscouplingus- ingthepartial-widthcalculator in Madgraph5andnormalisedto reproducetheSMpredictionfrom Hdecay[24].
The leading-order predictions obtained from Madgraph5 are reweightedtoaccount forhigher-orderQCD andelectroweakcor- rections to the SM process, assuming that these correctionsfac- torisefromthe newphysics effects.The differentialcross section asafunction ofvariable X foraspecific choice ofWilsoncoeffi- cient,ci isgivenby
dσ
dX =
j
dσj
dX
ref
·
dσj
dX
MG5 ci
/
dσj
dX
MG5 ci=0,
wherethesummation j isoverthedifferentHiggsbosonproduc- tionmechanisms,‘MG5’labelsthe Madgraph5predictionand‘ref’
labelsareferencesampleforSMHiggsbosonproduction.
ThereferencesampleforHiggsbosonproductionviagluonfu- sionissimulatedusingMG5_aMC@NLO[25]withtheCT10parton distribution function [26]. The H+n-jets topologies are gener- ated usingnext-to-leading-order (NLO) matrix elements for each partonmultiplicity (n=0, 1or 2) andcombined using the FxFx mergingscheme[27].Theparton-level eventsarepassed through Pythia8 [28] to produce the hadronic final state using the AU2 parameter set [29]. The sample is normalised to the total cross section predicted by a next-to-next-to-leading-order plus next- to-next-to-leading-logarithm(NNLO+NNLL) QCD calculation with NLOelectroweakcorrectionsapplied[3].Thereferencesample for Higgsbosonproductionviavector-bosonfusion(VBF)isgenerated atNLOaccuracyinQCDusingthe PowhegBox[30].Theeventsare generatedusing the CT10 partondistribution function (PDF) and Pythia8withtheAU2parameterset.TheVBFsampleisnormalised toan approximate-NNLOQCDcrosssectionwithNLOelectroweak correctionsapplied[3].ThereferencesamplesforHiggsbosonpro- duction inassociation witha vector boson (VH, V =W,Z ) or a top–antitoppair(tt H )¯ are producedatleading-order accuracyus- ing Pythia8withtheCTEQ6L1PDFandthe4Cparameterset[21].
The ZH andWH samples are normalised tocross sections calcu- latedatNNLOinQCDwithNLO electroweakcorrections, whereas thet¯t H sampleisnormalisedtoacrosssectioncalculatedtoNLO inQCD[3].
The ratio of the differential cross sections to the SM predic- tionsforsomerepresentativevaluesoftheWilsoncoefficientsare showninFig. 2.Theimpactofthec¯g andc˜g coefficientsarepre- sentedforthegluonfusion productionchannel andshowa large change in the overall cross section normalisation. The c˜g coeffi- cient also changes the shape of the φj j distribution, which is expectedfromconsiderationofthetensorstructureofCP-evenand CP-oddinteractions[31,32].Theimpactofthe¯cHW andc˜HW coef- ficientsare presented forthe VBF + VH productionchannel and showlargeshapechanges inall ofthestudieddistributions.3 The
3 Formfactorsaresometimesusedtoregularisethechangeofthecrosssection aboveamomentumscaleFF.ThiswasinvestigatedbyreweightingtheVBF+VH
Fig. 2. RatioofdifferentialcrosssectionspredictedbyspecificchoicesofWilson coefficienttothedifferentialcrosssectionspredictedbytheSM.
φj j distribution is known to discriminate between CP-odd and CP-eveninteractionsintheVBFproductionchannel[34].
5. Limit-settingprocedure
Limitson theWilsoncoefficientsare setbyconstructing a χ2
function
χ2=
σdata− σpred
T
C−1
σdata− σpred
,
where σdata and σpred are vectors from the measured and pre- dicted cross sections of the five analysed observables, and C= Cstat+Cexp+Cpred isthe total covariancematrix definedby the sum of the statistical, experimental and theoretical covariances.
The predicted cross section σpred and its associated covariance Cpred arecontinuousfunctionsofWilsoncoefficients.Scansofone or two Wilsoncoefficients are carriedout andthe minimum χ2
value, χmin2 ,isdetermined.Theconfidencelevel(CL)ofeachscan pointcanbecalculatedas
1−CL=n
∞
χ2(ci)−χmin2
dx f(x;m),
with χ2(ci)beingthe χ2 valueevaluated fora givenWilsonco- efficient ci,and f(x;m) beingthe χ2 distributionfor m degrees offreedomsandn=1 or 12 fortwo-sidedorone-sidedlimits.The coverageofCL andtheeffectivenumberofdegreesoffreedomare determinedusingensemblesofpseudo-experiments.4
Theinputdatavector iscomparedinFig. 3totheSM hypoth- esisaswellastwonon-SMhypothesesspecifiedbyc¯g=1×10−4 andc¯HW=0.05,respectively.
Thecovariancematrixforexperimentalsystematicuncertainties is constructed fromall uncertainty sources provided by Ref. [9], which include the jet energy scale and resolution uncertainties, photonenergyandresolutionuncertainties, andmodeluncertain- ties. Identical sources are assumed to be fully correlated across
samplesusingform-factorpredictionsfrom VBFNLO[33].Theimpact onthec¯HW andc˜HWlimitsarenegligibleforFF>1 TeV.
4 For one-dimensional limits on the CP-even (odd) Wilson coefficients, good agreementisfoundbetweentheasymptoticformulaandthepseudo-experiment teststatisticwithm=1 andn=1 (12).Forthetwo-dimensionallimitsonc¯gver- sus ˜cg,and c¯HW versusc˜HW,good agreementbetweenpseudo-experimentsand asymptoticformulaisfoundform=1 andn=1.Forthetwodimensionallimit onc¯gversusc¯γ,goodagreementbetweenpseudo-experimentsandasymptoticfor- mulaisfoundform=2 andn=1.