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Dijet production in $\sqrt{s}=7$ TeV $\mathit{pp}$ collisions with large rapidity gaps at the ATLAS experiment

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Contents lists available atScienceDirect

Physics Letters B

www.elsevier.com/locate/physletb

Dijet production in √

s = 7 TeV pp collisions with large rapidity gaps at the ATLAS experiment

.ATLASCollaboration

a r t i c l e i n f o a b s t ra c t

Articlehistory:

Received3November2015

Receivedinrevisedform10January2016 Accepted15January2016

Availableonline18January2016 Editor:W.-D.Schlatter

A 6.8 nb1 sampleof pp collision data collectedunder low-luminosityconditions at

s=7 TeV by the ATLAS detector atthe Large HadronCollider isused tostudy diffractive dijetproduction. Events containingatleast two jetswith pT>20 GeV are selectedand analysedin termsofvariableswhich discriminatebetweendiffractiveandnon-diffractiveprocesses.Crosssectionsaremeasureddifferentially inηF,thesizeoftheobservableforwardregionofpseudorapiditywhichisdevoidofhadronicactivity, and in an estimator, ˜ξ, of the fractional momentum loss of the proton assuming single diffractive dissociation (ppp X). Model comparisons indicate a dominant non-diffractive contribution up to moderately large ηF and small ˜ξ,withadiffractive contribution whichissignificant atthehighest

ηFandthelowest˜ξ.Therapidity-gapsurvivalprobabilityisestimatedfromcomparisonsofthedatain thislatterregionwithpredictionsbasedondiffractivepartondistributionfunctions.

©2016CERNforthebenefitoftheATLASCollaboration.PublishedbyElsevierB.V.Thisisanopen accessarticleundertheCCBYlicense(http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.

1. Introduction

Diffractivedissociation(e.g. ppp X )contributesalargefrac- tion of the total inelastic cross section [1] at the Large Hadron Collider (LHC). The inclusive process has been studied using the earliestLHCdatainsamplesofeventsinwhichalargegapisiden- tifiedintherapiditydistributionoffinal-statehadrons[2,3].Inthe absence ofhard scales, the understanding of thesedata isbased onphenomenologicalmethods ratherthantheestablished theory ofthestronginteraction,quantumchromodynamics(QCD).

A subset of diffractive dissociation events in which hadronic jets are produced as components of the dissociation system, X , wasfirst observedatthe SPS[4],a phenomenonwhichhassince beenstudied extensivelyatHERA [5,6] andtheTevatron[7].The jet transverse momentum provides a natural hard scale for per- turbative QCD calculations, making the process sensitive to the underlying parton dynamics of diffraction and colour-singlet ex- change.Amodel[8]inwhichthehardscatteringisfactorisedfrom acolourless componentoftheproton withits own partoniccon- tent(diffractivepartondistributionfunctions,DPDFs),correspond- ingtotheolderconceptofa pomeron[9],hasbeensuccessfulin describingdiffractivedeepinelasticscattering(epe Xp)atHERA [10].TheDPDFshavebeenextractedfromfitstoHERAdatainthe frameworkofnext-to-leading-orderQCD,revealingahighlygluon- dominatedstructure[11,12].

 E-mailaddress:atlas.publications@cern.ch.

The success of the factorisable approach breaks down when DPDFs from ep scattering are applied to hard diffractive cross sections in photoproduction [13,14] or athadron colliders.Teva- tron data [7] show a suppression of the measured cross sec- tion by a factor of typically 10 relative to predictions. A similar

‘rapidity-gap survival probability’ factor, usually denoted by S2, was suggested by the first results from the LHC [15]. This fac- torisation breaking is usually attributed to secondary scattering from beam remnants, also referred to as absorptive corrections, and closelyrelatedto themultiple-scattering effects which are a primary focus of underlying-event studies [16–18]. Understand- ing these effects more deeply is an important step towards a complete modelof diffractiveprocessesat hadroniccollidersand maypoint thewaytowards areconciliationofthe currentlyvery different theoretical treatments of soft and hard strong interac- tions.

In this paper, the ATLAS technique for finding large rapidity gaps, first introduced in Ref. [2], is developed further and ap- plied to events in which a pair of high transverse momentum (pT) jetsis identified. The resulting cross sections are measured as a function of the size of the rapidity gap and of an estima- tor of thefractional energyloss ofthe intact proton.The results are interpreted through comparisons with Monte Carlo models which incorporateDPDF-based predictions with no modelling of multiple scattering. Comparisons betweenthemeasurements and thepredictionsthusprovideestimatesoftherapidity-gapsurvival probabilityapplicabletosingledissociationprocessesatLHCener- gies.

http://dx.doi.org/10.1016/j.physletb.2016.01.028

0370-2693/©2016CERNforthebenefitoftheATLASCollaboration.PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.

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Fig. 1. Illustrationofhard single-diffractive scattering, inwhichpartons from a pomeron(P)andfromaprotonenterahardsub-process.Therapiditygapappears betweenthesystemX andtheintactproton.

2. Modelsandsimulations

MonteCarlo(MC)simulationsusingleading-order(LO)calcula- tionsinperturbativeQCDareusedinunfoldingthedatatocorrect for experimental effects andin the comparison of the measure- ments with theoretical models. The PYTHIA 8.165 (hereafter re- ferred to as PYTHIA8) general-purpose LO MC generator [19] is usedto modeldijetproduction innon-diffractive (ND)events, as wellasinsinglediffractivedissociation(SD, ppXp)anddouble diffractivedissociation(DD,ppX Y ).Analternativemodelofthe SDprocess isprovidedbyPOMWIG(version2.0β)[20],whilst an alternativenext-to-leading-order(NLO)modeloftheNDprocessis providedbyPOWHEG(version 1.0)[21,22].

In both PYTHIA8 and POMWIG, hard scattering in diffractive processes takes place through the factorisable pomeron mecha- nism[8] illustrated inFig. 1. Apomeron couples toan incoming proton,acquiringafractionξ oftheproton’slongitudinalmomen- tum. The proton either scatters elastically (SD) or dissociates to formahigher-masssystem(DD).A partonfromthe pomeron(as describedbyDPDFs)thenundergoesahardscatteringwithapar- ton fromthe dissociating protonat a scale setby the transverse momentaof theresulting jets. The dissociationsystem X has an invariantmassMX,suchthatξ=M2X/s ataproton–protoncentre- of-massenergy

s.

POMWIG is based on a standard implementation of hard diffractivescattering witha factorisablepomeron, in which both the pomeron flux and the DPDFs are taken from the results of theH1 2006DPDFfit B1 [11] andthe protonPDF set isCTEQ61 [23].Incontrast,PYTHIA8provides asimultaneousmodelofhard andsoftdiffraction [24],in whicha soft diffractivemodel inher- itedfromPYTHIA6[25]issmoothlyinterfacedtoaharddiffractive model similar to that in POMWIG. The probability of using the hard model depends on MX. The H1 2006 DPDF fit B is again used for the partonic content of the pomeron and the proton partonicstructure is takenfrom theCT10 PDFs[26].Several dif- ferentpomeronfluxparameterisationsareavailableinPYTHIA8.In additiontothedefaultSchulerandSjöstrand(S–S)model[27],al- ternativeparameterisationsbyDonnachieandLandshoff(D–L)[28]

andBergerandStreng[29,30],aswellastheMinimumBiasRocke- feller(MBR)model[31],arealsoconsideredinthisanalysis.These modelsdifferprimarily intheir predictionsforthe ξ dependence ofthe crosssection[24].TheDDprocess inPYTHIA8ismodelled similarlytotheSDprocess. Neitherofthediffractivemodelscon-

1 TheH1FitBDPDFscorrespondtothesumoftheSDprocessandthecompo- nentoftheDDprocesswherethelowerofthetwoprotondissociationmassesis smallerthan1.6GeV(seeSection6).

sideredheretakerapidity-gapdestructioneffectsintoaccount,i.e.

theysettherapiditygapsurvivalprobability S21.

An alternative for ND processes is provided by the POWHEG NLO generator. As described in Ref. [22], the ‘hardest emission cross section’ approach usedin POWHEGavoids the pathological behaviour observed in calculating cross sections with symmetric jetcutsinfixed-orderNLOcalculations.Here,NLOdijetproduction intheDGLAPformalismisinterfacedwithPYTHIA8toresumsoft andcollinearemissionsusingthepartonshowerapproximation.

PYTHIA8 adopts the Lund String model [32] for hadronisa- tion in each of the ND, SD and DD channels. It also contains an underlying-event modelbasedon multiplepartoninteractions (MPI). POMWIG is derived from HERWIG [33] and thus inherits itsfragmentationandcluster-basedhadronisation models.Forthe purposesofthispaper,thePOWHEGNDsimulationisinterfacedto PYTHIA8forfragmentationandhadronisation.Allconsideredmod- elsbased onthePYTHIAhadronisationmodelinclude pT-ordered parton showering, while those based on HERWIG use angular- orderedpartonshowering.

ThedefaultMCcombinationusedforthedataunfoldingforde- tector effectsisamixtureofPYTHIA8samplesofND,SDandDD dijets,withthe“ATLASAU2-CT10”setoftunedparameters (tune) [34]fortheunderlyingevent.Inthistune,thefractionofthetotal crosssectionattributedtotheSDprocessisreducedrelativetothe defaultby10% andthat toDDby 12%,tobettermatchearlyLHC data. The Berger–Strengparameterisation, which has a very sim- ilar ξ dependence toD–L, is chosen forthe pomeron flux factor.

Finally,theinteractionoftheparticles withtheATLAS detectoris simulatedusingaGEANT4-basedprogram[35,36].

3. TheATLASdetector

The ATLAS detector isdescribed indetail elsewhere [37].The beam-line is surrounded by a tracking system, which covers the pseudorapidity2 range |η|<2.5, consists of silicon pixel, silicon strip and straw tube detectors andis immersed inthe 2 T axial magneticfieldofasuperconducting solenoid.Thecalorimeterslie outsidethe tracking system. Ahighly segmentedelectromagnetic (EM)liquid-argonsamplingcalorimetercoverstherange|η|<3.2.

TheEMcalorimeteralsoincludesapresamplercovering|η|<1.8.

The hadronicend-cap (HEC, 1.5<|η|<3.2) andforward (FCAL, 3.1<|η|<4.9)calorimetersalsouseliquidargon fortheir sensi- tive layers, but withreducedgranularity. Hadronic energy inthe central regionisreconstructedin asteel/scintillator-tilecalorime- ter.The shapesof thecell noise distributions inthe calorimeters are well described by Gaussian distributions, with the exception of the tile calorimeter, where the noise has extended tails, and whichisthusexcludedfromtherapiditygapfindingaspectsofthe analysis. Minimum-bias trigger scintillator (MBTS) detectors are mountedinfrontoftheend-capcalorimetersonbothsidesofthe interaction point andcover the pseudorapidity range2.1<|η|<

3.8.TheMBTSisdividedintoinnerandouterrings,bothofwhich haveeight-foldsegmentation.In theanalysis,twotriggersystems areusedatLevel-1(L1),namelytheMBTSwhichefficientlycollects low-pT jets,andthecalorimeter-basedtrigger(L1Calo)whichcon- centratesonhigher-pTjets.In2010,theluminositywasmeasured by monitoring the activityin forwarddetector components,with calibrationdeterminedthroughvanderMeerbeamscans[38,39].

2 IntheATLAScoordinatesystem,thez-axispointsinthedirectionoftheanti- clockwisebeamviewedfromabove.PolaranglesθandtransversemomentapTare measuredwithrespecttothisaxis.Thepseudorapidityη= −ln tan(θ/2)isagood approximationtotherapidityofaparticlewhosemassisnegligiblecomparedwith itsenergyandisusedhere,relativetothenominalz=0 pointatthecentreofthe apparatus,todescriberegionsofthedetector.

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4. Experimentalmethod

Tostudyrapidity-gapproduction,theexperimentneeds toop- erateatverylowluminositiessuchthatthereisonaveragemuch lessthanonecollisionperbunchcrossing(i.e.negligible‘pile-up’).

This requirementhas to be balanced against the need to collect adequatenumbersofeventswithlargerapiditygaps.Theanalysis thereforeuses datafroman early 2010LHC run,witha totalin- tegratedluminosityof6.8 nb1.Theaveragenumberofcollisions perbunchcrossingis0.12.

ThejetselectionfollowsthatusedintheATLAS2010dijetanal- ysis[40].JetswithpT>20 GeV and|η|<4.4 arereconstructedby applying the anti-kt algorithm [41] to topological clusters atthe standardATLASjetenergyscale.Forcomparisons,inparticle-level MCmodels,jetsareformedwiththeanti-kt algorithmfromstable (cτ>10 mm)final-stateparticles.Theanalysisisperformedwith jetsoftwo differentradius parameters R=0.4 and R=0.6.Ap- proximatelytwiceasmanyjetsarereconstructedwiththeR=0.6 thanwiththe R=0.4 requirementinthekinematicrangecovered here.

The calorimeter-based jet trigger (‘L1Calo’) is used with the lowestavailable pT thresholdinphase-spaceregions whereitsef- ficiencyisdeterminedtobegreaterthan60%.Thiscriterionissat- isfiedforcentraljetsatallpseudorapiditiesintherange|η|<2.9 withpT>29(34)GeV forjetswithR=0.4(0.6).Atlowertrans- versemomenta,orwherethejetsarebeyondtheL1Calo ηrange, the MBTS trigger isused, withthe requirementof a signal in at least one segment. The MBTS trigger is fully efficient for dijet events, but has a substantial time-dependent prescale (which is takenintoaccountin theoff-lineanalysis), reducingthe effective luminosityforforwardandlow-pT jetsto0.303 nb1.

At least two jetsare required, withjet barycentres satisfying

|η|<4.4 and with pT>20 GeV. These requirements correspond totheregioninwhichthejetenergyscaleandresolutionarewell knownandinwhichthejetsarefullycontainedwithinthedetec- tor.

Several sources of background were investigated. To reject contributions from beam interactions with residual gas in the beampipe, muonsfromupstream protoninteractionstravelling as a halo around the proton beam, and cosmic-ray muons, events are required to have a primary vertex constructed from at least two tracks and consistent with the beam spot position. In-time pile-up,causedby multipleinteractions inonebunch crossing,is suppressedbyrequiringthattherebenofurtherverticeswithtwo ormoreassociatedtracks.Out-of-timepile-up,causedbyoverlap- ping signals in the detector from neighbouring bunch crossings, was investigated and found to be negligible at the large bunch spacings (>5 μs)of the chosen runs. Oncean eventis triggered and the dijet selection criteria are met, the requirement on the primary vertex removes 0.3% and 0.2% of events in the L1Calo- and MBTS-triggered data, respectively, while the in-time pile-up suppression cuts remove 9.4% and 6.5%, respectively. The latter valuesareusedtoscalethecrosssectionstoaccountforthecor- respondinglosses. Residual backgroundoccursduetothe limited position resolution of the vertex reconstruction, which typically mergespairsofverticeswithz1cm intoasingle vertex.The sizeofthiseffectisestimatedby extrapolationtolower valuesof the z distribution for pairs of vertices which are resolved and its influence is evaluated by randomly overlaying minimum-bias eventson theselected sample.The effectis smallerthan 0.5%in allbinsofthemeasureddistributions.Theresidualbeam-induced background isstudied using ‘unpaired’ bunch crossings inwhich onlyonebunchofprotonspassesthroughtheATLAS detectorand isfoundtobenegligible.

Eacheventis characterisedin termsofpseudorapidity regions which are devoid of hadronic activity (‘rapidity gaps’) using a method very similar to that first introduced in Ref. [2]. Rapidity gapsare definedusingthetracking(|η|<2.5 andpT>200 MeV) and calorimetric(|η|<4.8) information within the ATLAS detec- tor acceptance. Full details of the track selection can be found in Ref. [42]. Following Ref. [2], the clustering algorithm accepts calorimetercellsasclusterseedsiftheirmeasuredresponseisap- proximately fivestandard deviations above the root-mean-square noiselevel,withasmalldependenceofthethresholdonpseudora- pidity.Cellsneighbouringtheseedcellareincludedinthecluster iftheir measuredenergies exceedsmallerthresholdrequirements definedbythestandardATLAS topologicalclustering method.The particle-levelgapdefinitionisdeterminedbytheregionofpseudo- rapidity with an absence of neutral particles with p>200 MeV andchargedparticleswitheitherp>500 MeV or pT>200 MeV.

Thesemomentumandtransversemomentumrequirementsmatch the ranges over whichthe simulation indicates that particles are likelytoberecordedinthedetectors,accountingfortheaxialmag- netic field intheinner detector.The treatmentofcalorimeterin- formationintherapidity-gapdeterminationfollowstheprocedure introduced inRef. [43],such that therequirement pT>200 MeV forcalorimeterclustersfromthepreviousrapidity-gapanalysis[2]

is removed. Since thistransverse momentum requirementcorre- sponds to a very highmomentum atlarge pseudorapidities, the modifiedapproachmorecompletelyexploitsthecapabilitiesofAT- LAS to detect low-momentum particles in the calorimeters. The totalnumbersofselectedeventsintheL1CaloandMBTSsamples withR=0.6 are285 191and44 372,respectively.

The variable characterising forwardrapidity gaps, ηF, is de- fined by the larger of the two empty pseudorapidity regions ex- tendingbetweentheedgesofthedetectoracceptanceat η=4.8 or

η= −4.8 andthe nearesttrackorcalorimeterclusterpassing the selection requirementsatsmaller|η|.No requirementsare placed on particle production at |η|>4.8 and no attempt is made to identifygapsinthecentralregionofthedetector.Inthisanalysis, the sizeoftherapiditygaprelative to η= ±4.8 liesintherange 0< ηF<6.5.ForexampleηF=6.5 impliesthatthereisnore- constructedparticlewith(transverse)momentumabovethreshold inoneoftheregions4.8<η<1.7 or1.7<η<4.8.

Foreventswhichareofdiffractiveorigin,theMonteCarlostud- ies indicate that the rapidity-gap definition selects processes in which one ofthe incomingprotonseither remains intact(SD)or isexcitedtoproduceasystemwithmass M<7 GeV (DD).Inthe second case, the systemis typically restricted to a pseudorapid- ity region beyond the acceptance ofthe ATLAS detector. In both cases,theotherincomingprotondissociatestoproduceahadronic systemoflargerinvariant massMX.Thegapsize,ηF,growsap- proximately logarithmically with 1/MX,the degree of correlation beinglimitedbyevent-to-eventhadronisationfluctuations.

In thisanalysis, measurements ofthe energydeposits ineach event are used to construct a variable, ˜ξ which is closely corre- latedwithξandissimilartothatusedinRef.[15].Neglectingany overalltransversemomentumofthesystemX ,therelation M2X=√

s

pTe±η, (1)

holds for cases where the intactproton travels in the ±z direc- tion. In other words, if the forward rapidity gap starts at η= +4.8 (4.8), the exponential function takes the positive (nega- tive) sign. Here, the sum runs over all particles constituting the system X . This relation has the attractive feature that the sum is relatively insensitive to particles in the X system travelling in thevery forwarddirection,i.e.thosewhichare producedatlarge

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