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Contents lists available atScienceDirect

Physics Letters B

www.elsevier.com/locate/physletb

Azimuthal anisotropy of charged jet production in √

s NN = 2 . 76 TeV Pb–Pb collisions

.ALICE Collaboration

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

Articlehistory:

Received5October2015

Receivedinrevisedform30November2015 Accepted16December2015

Availableonline18December2015 Editor:M.Doser

Wepresentmeasurementsoftheazimuthaldependenceofchargedjetproductionincentralandsemi- central √s

NN=2.76 TeV Pb–Pbcollisions withrespecttothesecondharmonic eventplane,quantified as vch jet2 .Jetfindingisperformedemployingtheanti-kTalgorithmwitharesolutionparameterR=0.2 usingcharged tracksfromtheALICE tracking system.The contributionoftheazimuthalanisotropy of the underlyingeventis takenintoaccountevent-by-event. Theremaining(statistical) region-to-region fluctuations are removedonanensemblebasis byunfoldingthe jetspectra fordifferentevent plane orientations independently. Significant non-zero vch jet2 is observed insemi-central collisions (30–50%

centrality)for20<pch jetT <90 GeV/c.Theazimuthaldependenceofthechargedjetproductionissimilar tothedependenceobservedforjetscomprisingbothchargedandneutralfragments,andcompatiblewith measurementsofthev2ofsinglechargedparticlesathigh pT.Goodagreementbetweenthedataand predictions fromJEWEL,an event generatorsimulatingparton shower evolutioninthe presence ofa denseQCDmedium,isfoundinsemi-centralcollisions.

©2015CERNforthebenefitoftheALICECollaboration.PublishedbyElsevierB.V.Thisisanopen accessarticleundertheCCBYlicense(http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.

1. Introduction

The aim of the heavy-ion program at the LHC is to study strongly interacting matter in ultra-relativistic nuclear collisions where the formation of a quark–gluon plasma (QGP), a decon- fined state of quarks and gluons, is expected [1]. Hard partons thatpropagatethroughthecollisionmediumloseenergyvia(mul- tiple) scattering and gluon radiation [2,3]. Jet measurements are usedtoexperimentally explorepartonenergylossinthehot and densemedium. StudiesattheLHCandRHIChaveshownthat jet andhigh-pT single particle productioninheavy-ioncollisions are suppressed with respect to the expected production in a super- position of independent pp collisions [4–13]. This observation is consistent withenergy loss,which is further supported by mea- surementsofdijetenergy asymmetry anddi-hadronangularcor- relations[14–16].

Innon-centralPb–Pbcollisions,theinitialoverlapregionofthe collidingnucleiprojectedintotheplaneperpendiculartothebeam directionhas an approximately elliptic shape. Jetsemitted along theminoraxisoftheellipse(definedasthein-planedirection)on averagetraverselessmedium–andarethereforeexpectedtolose lessenergy–thanjetsthatareemittedalongthemajoraxisofthe

E-mailaddress:[email protected].

ellipse(theout-of-planedirection).Thedependenceofjetproduc- tionontheanglerelativetothesecond-harmonicsymmetryplane 2 (thesymmetry planeangles n define theorientationsofthe symmetry axesoftheinitialnucleon distributionofthecollision) can be used to probe the path-length dependence of jet energy loss. This dependence is quantified by the parameter vch jet2 , the coefficient of the second term ina Fourierexpansion ofthe az- imuthaldistributionofjetsrelativetosymmetryplanesn,

dN d

ϕ

jet

n

1

+

n=1

2vnjetcos

n

ϕ

jet

n

,

(1)

where

ϕ

jetdenotestheazimuthalangleofthejet.

Incentralcollisions, theaveragedistancethata jetpropagates through the medium isapproximately equal in the in-plane and out-of-plane directions, therefore a small vch jet2 is expected. In semi-central collisionsthe averagein-mediumdistanceis shorter, while the relative difference between the average distances in- plane and out-of-plane is larger, hence a non-zero vch jet2 is ex- pected. Fluctuationsin the initial distributionof nucleons within the overlap region can lead to additionalcontributions to vch jet2 andhigherharmoniccoefficientsintheFourierdecomposition.

The path-length dependence of parton energy loss is of par- ticular interest because it is sensitive to the underlying energy- loss mechanism. For collisional (elastic) energyloss, the amount http://dx.doi.org/10.1016/j.physletb.2015.12.047

0370-2693/©2015CERNforthebenefitoftheALICECollaboration.PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.

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of lost energy depends linearly on path length, while forradia- tive (inelastic) energy loss, the dependence is quadratic due to interferenceeffects[17,18].Some strong-interactionmodelsbased on the AdS/CFT correspondence suggest an even stronger path- length dependence [19,20]. Earlier studies of the v2 of high-pT single particles have already tested the path-length dependence of energy loss [21–25]. Comparisons of these results to theoret- ical calculations have shown that the v2 is sensitive to several aspects of the medium evolution, including the effects of longi- tudinal andtransverseexpansion andthelife time ofthe system until freeze-out[26].It is thereforeimportant to measuremulti- ple observablesthat are sensitive to the path-length dependence ofenergy loss,such asrecoil yields ofcharged particlesand jets [11,27,28].Jetsareexpectedtobetterrepresenttheoriginalparton kinematicsandprovidemoredetailedinformationonenergyloss.

TheoreticalpredictionsfromJEWEL,whichcouplespartonshower evolutiontothepresenceofaQCDmediumwithadensityderived from Glauber simulations [29,30], have shown that a finite vjet2 is expected for non-central collisions at the LHC. Similar results havebeen foundin vjet2 studies inheavy-ioncollisions generated by the AMPT model [31,32]. A first measurement of vcalo jet2 of jetscomprisingboth chargedandneutralfragmentshasbeenre- portedby the ATLAS Collaboration [33].The results presented in this paper extend the vch jet2 measurement to a lower pT range (pT>30 GeV/cforcentralcollisions andpT>20 GeV/c forsemi- centralcollisions).

Inthisarticle,measurements of vch jet2 of R=0.2 chargedjets reconstructedwiththeanti-kT jetfinderalgorithminPb–Pbcolli- sionswith0–5%and30–50%collisioncentralityarepresented.The largest experimental challenge in jet analyses in heavy-ion colli- sions is the separation of the jet signal fromthe background of mostlylow-pT particlesfromtheunderlyingeventandfromunre- latedscatteringsthat takeplaceinthecollision.Thejet energyis correctedonajet-by-jetbasisusinganestimateofthebackground transversemomentumdensitywhichtakesintoaccountthedomi- nantflowharmonicsv2andv3 ofthebackgroundevent-by-event, aswillbedescribed inSections2.1and2.2.Thecoefficient vch jet2 isobtainedfrompT-differentialjetyieldsmeasuredwithrespectto theexperimentally accessibleeventplane EP,2,whichis recon- structedatforwardrapidities(2.8<

η

<5.1 and−3.7<

η

<1.7, Sec. 2.1). The reported vch jet2 hasbeen correctedback to theaz- imuthalanisotropywithrespecttotheunderlyingsymmetryplane 2 by applying an event plane resolution correction (Sec. 2.4).

Jetsare reconstructedat mid-rapidity(|

η

jet|<0.7) using charged constituenttrackswithmomenta0.15<pT<100 GeV/c,andare required to contain a charged hadron with pT3 GeV/c. The in-plane andout-of-plane jet spectraare unfolded independently to take into account detectoreffects and remaining azimuthally- dependent fluctuations in the underlying event transverse mo- mentum density (Sec.2.3). The jet spectra are corrected back to particle-leveljetsconsistingofonlyprimarychargedparticlesfrom thecollision.

2. Experimentalsetupanddataanalysis

ALICEisadedicatedheavy-ionexperimentattheLHCatCERN.

A full overview of the detector layout and performance can be foundin [34,35].Thecentral barreldetectorsystem, coveringfull azimuth,ispositionedinasolenoidalmagnetwithafieldstrength of0.5 T.ItcomprisestheInnerTrackingSystem(ITS)builtfromsix layersofsilicondetectors(the SiliconPixel,Drift,andStripDetec- tors:SPD,SDDandSSD)andaTimeProjectionChamber(TPC).The twoinnerlayersoftheITS,whichcomprisetheSPD,arelocatedat 3.9and7.2 cmradialdistancefromthebeamaxis.

The data presented in this paper were recorded in the Pb–

Pb data taking periods in 2010 and 2011 at √

sNN=2.76 TeV, using aminimum-biastrigger (2010)oran onlinecentralitytrig- ger for hadronic interactions (2011), which requires a minimum multiplicity in both the V0A and V0C detectors (discs of seg- mented scintillators coveringfull azimuth and2.8<

η

<5.1 and

3.7<

η

<1.7,respectively). The V0detectors areused tode- termine event centrality based on the energy deposition in the scintillator tiles[36]andtheeventplane orientation,seeSec.2.1.

Centrality, determined fromthe sumoftheV0amplitudes,isex- pressed as percentiles of the total hadronic cross section, with 0–5% referring to the most central (largest multiplicity) events [36].Thetriggerisfullyefficientinazimuthinthepresentedcen- tralityranges.CentralityestimationusingtheV0systemdoesnot biastheEP,n determination[37].TimeinformationfromtheV0 detectors is used to reject beam-gas interactions fromthe event sampleandtheremainingcontributionofsuchinteractionsisneg- ligible.Onlyeventswithaprimaryvertexpositionwithin±10 cm alongthebeamdirectionfromthenominalinteractionpointwere usedintheanalysis.Atotalof6.106 eventswith0–5%central- ityand8.106 eventswith30–50%centrality,correspondingto integratedluminosities of18and5.6 μb1,respectively,are used inthisanalysis.

ChargedparticletracksinthisanalysisaremeasuredbytheITS andTPCandareselectedinapseudorapidityrange|

η

|<0.9 with transversemomenta0.15<pT<100 GeV/c.Toensureagoodmo- mentumresolution,trackswererequiredtohaveatleastthreehits per track inthe ITS. Since theSPD acceptanceis non-uniformin azimuthfor thedatasample used inthisanalysis, two classesof tracksareused.Thefirstclassrequiresatleastthreehitspertrack inthe ITS,withatleastonehit pertrackintheSPD. Thesecond class contains tracks without hits in the SPD, in which case the primary interaction vertexis used asan additionalconstraintfor themomentum determination.Foreachtrack, theexpectednum- berofTPCspacepointsiscalculatedbasedonitstrajectory;tracks are acceptediftheyhaveatleast80%oftheexpectedTPCspace- points, witha minimum of70 TPCpoints. Tracksproduced from interactions between particlesand thedetector,as well astracks originatingfromweakdecays(‘secondarytracks’)arerejected.The contribution ofsecondary tracks to thetrack sample isless than 10% fortracks with pT<1 GeV/c andnegligible fortracks with highertransversemomentum.

2.1. Eventplanedetermination

The coefficient vch jet2 quantifies azimuthalanisotropy withre- spect to 2. The azimuthal anisotropy of the underlying event (‘backgroundflow’) isalsodescribed byaFourierserieswithhar- monics vn= cos(n[

ϕ

n]) [38,39] where

ϕ

denotes thetrack azimuthalangle.However,sincetheinitialdistributionofnucleons is not accessible experimentally,the eventplaneangles EP,n,i.e.

the axes ofsymmetry of thedensity ofoutgoing particlesin the transverse plane,are usedinplace ofn when measuring vch jet2 andvn.

The event plane angles EP,2 and EP,3 in this study, cor- responding to the two dominant Fourier harmonics, are recon- structed using the V0 detectors. Each V0 array consists of four ringsintheradial direction,witheach ringcomprisingeightcells withthesameazimuthalsize.Thecalibratedamplitudeofthesig- nal in each cell, proportional to the multiplicity incident on the cell,isusedasaweight wcell intheconstructionoftheflowvec- tors Qn [40]

Qn

=

cells

wcellexp

(

i n

ϕ

cell

) .

(2)

(3)

Inordertoaccountforanon-uniformdetectorresponsewhichcan generatea bias in the EP,n azimuthal distribution, the compo- nents ofthe Qn-vectorsare adjusted using a re-centeringproce- dure[41,42].TheV0AandV0Cdetectorscoverdifferent

η

regions inwhich multiplicity N andbackground flow vn maydiffer. The totalV0 Q-vector istherefore constructedusingweights

χ

n [40]

thatare approximatelyproportionaltothe eventplane resolution ineachdetector,

Qn,V0

= χ

n2,V0AQn,V0A

+ χ

n2,V0CQn,V0C

,

(3) toachievetheoptimalcombinedeventplaneresolution.Theevent planesare reconstructedfromtherealandimaginarypartsof Qn as

EP,n

=

arctan

[Qn] [Qn]

/

n

.

(4)

The vch jet2 itself is measured with respect tothe second har- monic event plane angle. It is corrected for the finite precision withwhichthetruesymmetryplaneismeasuredintheV0system byapplyinganeventplaneresolutioncorrection,seeSec.2.4.

2.2.Jetreconstructioninthepresenceofbackgroundflow

Jetfinding isperformedusingthe FastJet[43,44]implementa- tion of the infrared and collinear safe kT and anti-kT sequential recombinationalgorithmsusingthepTrecombinationschemeand takingmasslessjetconstituents.TheresolutionparameterR=0.2 determines the characteristic maximum distance of constituent trackstothejetaxisinthe

η

ϕ

plane.

In heavy-ion collisions, a large combinatorial background is presentfromparticles that arenot relatedto the hard scattering thatproducedagivenjet.Thisbackgroundissubtractedfromeach jet on an event-by-event basis. The anti-kT algorithm is used to findsignaljets.Afiducialcut of|

η

jet|<0.7 is appliedon thesig- naljets toensure that all jets are fullycontainedwithin theITS andTPCacceptances andedge effects are avoided.The contribu- tion of combinatorial (or ‘fake’) jets (clustered underlying event energy) to the measured jet spectrum is reduced by requiring thatreconstructed jetscontain atleastone chargedparticlewith pT>3 GeV/c andhaveanarea ofatleast0.56

π

R2.Theseselec- tioncriterialeavethehardpartofthejetspectrumunalteredwhile significantlyreducing thenumberofcombinatorialjetswhichsta- bilizestheunfoldingprocedure[4,5,45].

The kT-algorithm is used to estimate the average transverse momentumdensityoftheunderlyingevent,

ρ

ch,onanevent-by- eventbasis.Thequantity

ρ

chisthemedianofthedistributionof prawT,chjet/A(theratiooftransversemomentumtojetarea)ofrecon- structed R=0.2 kT-jets, excluding the leading two jetsfromthe sampleasproposed in[46] andimplemented inearlierALICEjet studies[4,5,45].The kT jetsarerequired tolie within |

η

jet|<0.7 andhave anarea A>0.01.Thejet area A is determinedby em- bedding a fixed number of near zero-momentum ghostparticles per event prior to jet finding; the number of ghost particles in eachreconstructedjetthengivesadirectmeasureofthejetarea.

A ghostdensityof200particles perunitarea isused,sothat ap- proximately25ghostparticlesareclusteredintoajetwitharadius of 0.2.

Ineach event, theanisotropy ofthe underlyingeventismod- eledusingthedominant[47]flowharmonicsv2andv3,

ρ

ch

( ϕ ) = ρ

0

1

+

2

{

v2cos

2

ϕ

EP,2

+

v3cos

3

ϕ

EP,3

}

.

(5)

Fig. 1.Transversemomentumdensityofchargedtracksasafunctionofazimuthal angleforasingleeventfromthemostcentral0–5%eventclass.Datapoints(blue) aregivenwithstatisticaluncertaintiesonly.TheredcurveisthefitofEq.(5)to thedistribution,thegreenandgraycurves,obtainedfromthefitofEq.(5)aswell, showtheindependentcontributionsofv2and v3toρch(ϕ).Thedashedmagenta lineisthenormalizationconstantρ0.(Forinterpretationofthereferencestocolor inthisfigurelegend,thereaderisreferredtothewebversionofthisarticle.)

Here,

ρ

ch(

ϕ

)istheazimuthaldistributionofsummedtrackpT for tracks with 0.15<pT<5 GeV/c and |

η

track|<0.9. The parame- ters

ρ

0 and vn are determined event-by-event from a fit of the right side of Eq. (5) to the data. The event plane angles EP,n are not fitted, but fixed to the V0 event plane angles. A single eventexampleofthisprocedureisillustrated inFig. 1,wherethe datapoints representthetransversemomentum densitydistribu- tioninasingle event,theredcurve representsthefull functional descriptionof

ρ

ch(

ϕ

)(Eq.(5)),thegreenandgraycurvesgive the contributionsoftheseparateharmonicsv2andv3,andthedashed magentalineisthenormalizationconstant

ρ

0.Toreduce thebias ofhard jets inthe estimatesof vn in Eq.(5) whileretaining az- imuthal uniformity, the leading jet in each eventis removed by rejecting all tracksfor which|

η

jet

η

track|<R.The

η

separation betweenthetracksandtheV0detectorsalsoremovesshortrange correlationsbetweentheeventplanesandtracks.

ThenumberofbinstowhichEq.(5)isfittedissetonanevent- by-eventbasistothesquare rootofthenumberoftracks.Thefit maximizestheestimatedlikelihood[48],whichisbasedonaPois- son distribution for the bin content. Since the bin contents are not pure counts, butweighted by pT,the statisticaluncertainties on each bin

σ

i are estimated as the sum of the squares of the pT of the individual particles:

σ

i=

σ

( pT)= √ p2T. A scaled Poisson distribution P(xi/wi|mui/wi) is used as the probability distributionforthedatapoints inthelikelihood calculation,with a scale factor wi=

σ

i2/yi where yi is the bin content and

μ

i is theexpected signal fromthe fit function.The compatibility of each fit withthe data is tested by calculating the

χ

2 and eval- uating the probability of finding a test statistic at leastas large asthe observed one inthe

χ

2 distribution. When this probabil- ityis less than0.01, the average eventbackground density

ρ

ch is usedinstead of

ρ

ch(

ϕ

); thisoccursin 3% (mostcentral) to7%

(semi-central) ofevents.Theacceptance criterionis variedin the systematicstudies;thesensitivitytoitissmall.

Thecorrectedtransversemomentum pchjetT ofajetofarea A is calculatedfromthemeasuredrawjetmomentum,prawT,chjet,as

pchjetT

=

prawT,chjet

ρ

ch localA (6)

where

ρ

ch local is obtained from integration of

ρ

ch(

ϕ

) around

ϕ

jet±R

(4)

Fig. 2.TheδpTdistribution(Eq.(8))fromtherandomcone(RC)procedureasfunctionofconeazimuthalangleϕRCrelativetotheeventplane.Inpanel(a)theazimuthally- averagedbackgroundρchhasbeensubtracted;inpanel(b)theazimuthallydependentρch(ϕ)fromanevent-by-eventfitofthe pT-densitywithEq.(5).Thesolidblack linerepresentsthemeanoftheδpTdistribution.

ρ

ch local

= ρ

ch

2R

ρ

0 ϕ

+R

ϕR

ρ

ch

( ϕ )

d

ϕ .

(7)

Thepre-factoroftheintegral, ρch

2Rρ0,ischosensuchthatintegration over the full azimuth yields the average transverse momentum density

ρ

ch.ThevalidityofEq.(5)asadescriptionofthecontri- butionofbackgroundflowtotheunderlyingeventenergyistested byplacingconesofradius R=0.2 atrandompositions(excluding thelocation ofthe leading jet)inthe

η

φ plane andsubtracting theexpected summed transversemomentum in acone fromthe measuredtransversemomentuminthecone,

δ

pT

=

ptracksT

ρπ

R2

.

(8)

Here,

ρ

is theexpected transversemomentum density.This pro- cedure is repeatedmultiple timesper event, until the full phase spaceis covered, to obtain a distribution ofδpT values.The δpT distributionasafunctionoftheconeazimuthalangle

ϕ

RCrelative totheeventplaneEP,2 isshowninFig. 2.Inpanel(a)

ρ

chhas beenusedfortheestimationoftheunderlyingeventsummed pT andinpanel(b)

ρ

ch(

ϕ

).Incorporatingazimuthal dependenceinto theunderlyingeventdescriptionleadstoasizablereductioninthe cosinemodulationoftheδpTdistribution.

Theeffectivenessofthesubtractionofbackgroundflowisquan- tified by comparing the expected and measured widths of the δpTdistributionintheabsenceofbackgroundflow,

σ

(δpTvn=0)(see Fig. 2(b)) to the expected and measured widths of the δpT dis- tribution in thepresence of backgroundflow,

σ

(δpvTn) (Fig. 2(a)).

Assumingindependentparticleemission andPoissonianstatistics, theexpectedwidthoftheδpTdistributionintheabsenceofback- groundflow(vn=0)isgivenby[45]

σ

pTvn=0

) =

NA

σ

2

(

pT

) +

NA

pT

2 (9)

whereNAistheaverageexpectednumberoftrackswithinacone, pT is the mean pT of a single particle spectrum and

σ

(pT) is the standard deviationof thisspectrum. This expectationcan be extendedtoincludecontributionsfrombackgroundflowby intro- ducing non-Poissonian density fluctuations (the background flow harmonicsvn)[45],as

σ

pTvn

) =

NA

σ

2

(

pT

) + (

NA

+

2N2A

(

v22

+

v23

))

pT

2

.

(10)

Fig. 3.Centralitydependenceofthemeasuredandexpectedrelativechangeinthe δpTdistributionwidthfromusingtheazimuthallydependentρch localinsteadofthe medianρch.Thebluepointsgivetheexpectedreductionfromsimpleassumptions aboutthebehaviorofchargedparticlespectraandflowharmonics vn (following Eqs.(9)and(10)).TheredpointsusethemeasuredwidthsfromδpTdistributions directly.Statisticaluncertaintiesaresmallerthanthemarkersize.(Forinterpretation ofthereferencestocolorinthisfigurelegend,thereaderisreferredtotheweb versionofthisarticle.)

The measured widths areobtained fromthe δpT distributions directly; thedistributions are constructedusingasthe transverse momentumdensity

ρ

inEq.(8)either

ρ

chtoobtain

σ

(δpvTn)or

ρ

ch local for

σ

(δpvTn=0).

Fig. 3 shows the expected and measured relative change in the width of the δpT distribution, quantified as (

σ

(δpTvn)

σ

(δpTvn=0))/

σ

(δpvTn), as function of collision centrality. The blue points give the expected reduction from Eqs. (9) and (10). The red points use the measured widths from δpT distributions. The expectedchangeisingoodquantitativeagreementwiththemea- sured changeover theentire centralityrange,indicating that the width of the δpT distributions can be understood in terms of a simpleindependentparticleemissionmodelwithbackgroundflow contributions.

The background subtraction, unfolding,and correction for the reactionplaneresolutionasdescribedinSections2.3and2.4were also validated using events consisting of PYTHIA jets embedded inheavy-ionbackgroundeventsandtoymodelevents.Inthefirst

(5)

study, full PYTHIA pp events were combined with reconstructed Pb–Pbcollisionstocreateeventswithacontrolledsignalandback- ground.ThesignaljetsfromPYTHIAhavenopreferredorientation, vch jet2 =0,whiletheheavy-ioneventshavea non-zero v2 ofthe softparticles. Jetsfound inthe events were matchedto the em- beddedPYTHIAjetsandtheanalysiswascarriedoutwithmatched jetsonly.Afterunfolding,thevch jet2 wascompatiblewith0,asex- pected. The other study was based on events generated using a simplethermalmodelforsoftparticleproductionandadistribu- tionofhigh-pT particlesthat resemblesthejetspectrum,assug- gestedin[49].Anon-zerov2=0.07 wasintroducedformomenta pT<5 GeV/ctomodelthebackgroundflowandtwovariationsat largepT>30 GeV/c: v2=0 or v2=0.05.Inbothcases,theinput flowvalueswerecorrectlyreconstructedbytheanalysis.

2.3.Unfolding

Afterthesubtractionprocedurepresentedintheprevious sec- tion,themeasured jetspectrumisunfolded[50,51] tocorrectfor detectoreffectsandfluctuationsintheunderlyingeventtransverse momentumdensity.Mathematically,theunfoldedjetspectrumcan bederivedfromthemeasuredspectrumbysolving

M

(

precT,chjet

)

=

G

(

precT,chjet

,

pgenT,chjet

)

T

(

pgenT,chjet

) ε (

pgenT,chjet

)

dpgenT,chjet (11)

forT(pgenT,chjet),theunfoldedtruejetspectrum,whereM(precT,chjet)is themeasured jet spectrum, G(precT,chjet,pgenT,chjet) is afunctional de- scription(responsefunction) ofdistortions duetobackgroundfluc- tuations and detector response, and

ε

(pgenT,chjet) is the jet finding efficiency.The coefficient vch jet2 is not affected by the efficiency, hence

ε

(pgenT,chjet)willbeomittedfromhereon.Sincethemeasured jetspectrumisbinned, Eq.(11)isdiscretizedby replacingthein- tegralbyamatrixmultiplication

Mm

=

Gm,t

·

Tt (12)

where Tt is the solution of the discretized equation (the prime indicates that Tt is not corrected for jet-finding efficiency). The combined response matrix Gm,t is the product of the response matricesfromdetectoreffects andtransversemomentumdensity fluctuations,thelatterofwhichareconstructedindependentlyfor thein-planeandout-of-planespectrabyembeddingrandomcones atspecificrelativeazimuthwithrespecttotheeventplane(seethe textbelowEq.(13)forthedefinitionoftheintervals).

Thedetectorresponse matrix isobtainedby matching pp jets generatedbyPYTHIA[52](‘particle-level’jets)tothesamejetsaf- tertransportthroughthedetector(‘detector-level’jets)byGEANT3 [53], where the detector conditions are tuned to those of the Pb–Pbdata-takingperiods.Particle-leveljetscontainonlyprimary chargedparticlesproducedbytheeventgenerator,whichcomprise allprompt chargedparticles producedin thecollision,aswell as productsof strongandelectromagneticdecays,while productsof weakdecaysofstrangehadronsarerejected.Matchingisbasedon theshortestdistanceinthe

η

ϕ

planebetweendetectorleveland particleleveljetsandisbijective,meaningthat thereisaone-to- onecorrespondence betweendetectorandparticlelevel jets. The response matrix for background fluctuations is constructed from theδpTdistributions,which,whennormalized,areprobabilitydis- tributionsforthechange ofthejet energycausedbybackground fluctuations.

SolvingEq.(12)requiresinversion ofGm,t andgenerallyleads to non-physical results which oscillate wildly due to the statis-

tical fluctuations of the measured jet yield. The unfolded solu- tion therefore needs to be regularized. In general this is done by introducing a penalty term for large local curvatures associ- atedwithoscillations.Variousalgorithmsforregularizedunfolding exist;the unfoldingmethodbased onthe SingularValue Decom- position(SVD unfolding)[54] isused inthisstudy.Acomparison totheunfoldedsolutionfrom

χ

2minimization[55]isusedinthe systematicstudies.

The measured jet spectrum is taken as input forthe unfold- ingroutineintherange30<pchjetT <105 GeV/cfor0–5%collision centralityand15<pchjetT <90 GeV/c for30–50%collisioncentral- ity. The lower bound corresponds to five times thewidth of the δpT distribution,theupperboundistheedgeofthelastmeasured binwhichcontainsatleast10counts.Thisconfigurationwasfound toleadtoreliableunfoldedsolutionsinMonte Carlostudies[4,49].

The unfolded jet spectrum starts at0 GeV/c to allow forfeed-in oftrue jetswithlow pchjetT . Inaddition,combinatorial jetswhich are not rejected by the jet area and leading charged particle re- quirements are migrated to momenta lower than the minimum measured pchjetT . The unfolded solution ranges up to 200 GeV/c (0–5%) and170 GeV/c (30–50%)to allowformigration ofjetsto a pchjetT higher than themaximum measured momentum. As the data points of the unfolded solution are strongly correlated for pchjetT outsidetheexperimentallymeasuredinterval, vch jet2 willbe reportedonlywithinthelimitsofthemeasuredjetspectra.

2.4. Evaluationofvch jet2

Thecoefficientvch jet2 iscalculatedfromthedifferencebetween the unfolded pT-differential jet yields in-plane (Nin) and out-of- plane (Nout) with respect to the second harmonic event plane, correctedforeventplaneresolution,

vch jet2

(

pchjetT

) = π

4 1 R2

Nin

(

pchjetT

)

Nout

(

pchjetT

)

Nin

(

pchjetT

) +

Nout

(

pchjetT

) .

(13) Eq. (13) is derived by integrating Eq. (1) for n=2, over inter- vals

π4,π4 and

3π 4 ,54π

for Nin and π

4,34π

and

5π 4 ,74π

for Nout,substituting EP,2 for2.Eq.(13)is sensitivetocorre- lationsbetweeneven-orderharmonicsv2n andEP,2.Asaresult oftheintegrationlimitshowever,thefirstharmonicoftheFourier expansionthatcancontributetotheobservedvch jet2 isvch jet6 .The V0eventplane resolutionR2 isintroducedto accountforthefi- niteprecisionwithwhichthetruesymmetryplane2ismeasured intheV0systemandisdefinedas

R2

=

cos

2

EPV0,2

2

.

(14)

Measuring eventplanes inmultiple

η

regions (sub-events) allows fortheevaluationoftheresolutiondirectlyfromdata[56,57].Us- ing the fullV0 detectorandnegative andpositive

η

sidesof the TPCassub-events,theresolutioninEq.(13)isevaluatedas R2

=

cos 2

EPV0,2EPTPC,,2η>0 cos 2

EPV0,2EPTPC,,2η<0

cos 2

EPTPC,,2η>0EPTPC,,2η<0

1/2

.

(15) The eventplane resolutionR2 is found tobe 0.47 in0–5% cen- tralityand0.75in30–50%centralitywithnegligibleuncertainties.

TheEP,2 anglesintheTPCareobtainedfollowingtheprocedure

(6)

of Eq. (4) on tracks with 0.15<pT<4 GeV/c, using unit track weightsintheconstructionoftheflowvectorsQ2 (seeEq.(2)).

UsingtheV0detectorsforthereconstructionoftheeventplane guaranteesthatthejetaxisandeventplaneinformationaresepa- ratedinpseudorapidityby |

η

|>1 andthus removesautocorre- lationbiasesbetweenthesignal jetsandeventplane orientation.

The possiblenon-flow correlation betweenthe eventplane angle andjetsduetodi-jetswithonejetatmid-rapidityandonejetin theV0acceptancewas studiedusingthePYTHIAeventgenerator.

The rateof such di-jetconfigurations was found to be negligible (lessthan 1 per milleof thetotal di-jetrateat mid-rapidity) for pchjetT >20 GeV.Possibleeffectsfromback-to-backjetpairswitha jetineachoftheV0detectorsareevensmaller.

2.5. Systematicuncertainties

Themeasuredvch jet2 iscorrectedforexperimentaleffects,such asthefiniteeventplaneresolutionanddetectoreffectsonthejet energyscaleaswellastheeffectsoftheuncorrelatedbackground and its fluctuations using the corrections outlined in the Sec- tions2.1–2.4.Hydrodynamicflow ofthe backgroundistakeninto accountevent-by-eventintheunderlyingeventdescription,resid- ualeffects areremoved by azimuthally dependent unfolding.The remaininguncertaintiesinthesecorrectionproceduresaretreated assystematicuncertainties.Systematicuncertaintieson vch jet2 are groupedinto twocategories, shapeand correlated,basedon their point-to-point correlation. Shape uncertainties are anti-correlated betweenpartsoftheunfoldedspectrum:whentheyieldinpartof thespectrumincreases,itdecreaseselsewhereandviceversa.Cor- related uncertainties are correlated point-to-point. Both types of uncertaintieshoweverhavecontributionswhichleadtocorrelated changesofNin andNout.

Correlateduncertaintiesareestimatedforthein-planeandout- of-planejet spectraindependently. Twosourcesofcorrelated un- certainties are considered: tracking efficiency and the inclusion of combinatorial jets in the measured jet spectrum. The domi- nant correlated uncertainty (10%) arises from tracking and is estimatedbyconstructingadetectorresponsematrixwithatrack- ingefficiencyreducedby 4%(motivatedby studies[4]comparing reconstructed tracks to simulations of HIJING [58] events). The observed difference betweenthe nominaland modified unfolded solutionistakenasasymmetricuncertaintytoallowforanover- andunderestimation of the tracking efficiency. The sensitivityof theunfoldedresulttocombinatorialjetsistestedbychangingthe lower range of the unfolded solution from 0 to 5 GeV/c, which leads toan overall(correlated) increase oftheunfolded jetyield.

Both correlated uncertainties are added in quadrature andprop- agatedto vch jet2 assuming that variations are strongly correlated betweenthe in-plane andout-of-plane jet spectra, whilestill al- lowingforeffects fromazimuthally-dependentvariations in track occupancyandreconstructionefficiency,bysettingthesamplecor- relationcoefficient

ρ

σ

i,j/(

σ

i

σ

j)to0.75.

Shape uncertainties fall into three categories: assumptions in the unfolding procedure, feed-in of combinatorial jets, and the sensitivityof the unfolded solution to the shape of the underly- ing event energy distribution. The dominant contribution to the unfolding uncertainty is related to the regularization of the un- foldedsolution.The SVDalgorithm[54] regularizestheunfolding byomittingcomponentsofthemeasured spectrumforwhichthe singular value is smallandwhich amplify statisticalnoise inthe result.Toexplorethesensitivityoftheresulttotheregularization strength, theeffective rankof thematrix equation that is solved isvariedbychanginganintegerregularizationparameterkby±1.

The SVDunfolding algorithm uses aprior spectrumas thestart- ingpointoftheunfolding;theresultoftheunfoldingistheratio

between the full spectrum and thisprior. The unfolded solution fromthe

χ

2 algorithm[55] isusedasprior (default)aswellasa PYTHIAspectrum.Thebiasfromthechoiceofunfoldingalgorithm itselfistestedbycomparingtheresultsoftheSVDunfoldingand the

χ

2 algorithm.

Thesamenominalunfoldingapproachisusedforthein-plane and out-of-plane jet spectra and the δpT distributions for the in-plane andout-of-plane background fluctuations are similar in width; the unfolding uncertainty is therefore strongly correlated between the in-plane and out-of-plane jet spectra. These corre- lations are taken into account by applying the variations in the unfolding procedure to the in-plane andout-of-plane jet spectra atthesametimeandcalculatingtheresultingvariationsofvch jet2 . Thetotaluncertaintyfromunfoldingisdeterminedbyconstructing a distributionofall unfoldedsolutions ineach pchjetT intervaland assigningthewidthofthisdistributionasasystematicuncertainty.

The other two components of the shape uncertainty are the sensitivityof theunfolded solutionto combinatorialjetsandun- certainties arising from the description of the underlying event;

both are estimated on the in-plane andout-of-plane jet spectra independentlyandpropagatedtovch jet2 asuncorrelated.Asystem- atic uncertainty is only assigned when the observed variation is found to bestatisticallyincompatible withthe nominalmeasure- ment.Theeffectofcombinatorialjetsistestedbyvaryingthemin- imumpchjetT ofthemeasuredjetspectrumby±5 GeV/c,effectively increasingordecreasingthepossiblecontributionofcombinatorial jet yield atlow jetmomentum. Totest theassumptions madein the fittingofEq.(5) themaximum pT ofaccepted tracksis low- eredto 4 GeV/c. Additionally, theminimum p-valuethat is used as a goodness offit criterion is changed from0.01 (the nominal value)to 0.1.Theminimumrequireddistanceoftrackstothelead- ingjetaxisinpseudorapidityisenlargedto 0.3.

Table 1 gives an overview of the systematic uncertainties in terms of absolute uncertainties on vch jet2 for all sources (where thetotaluncertaintyisthequadraticsumoftheseparatecompo- nents).HighstatisticsMonte Carlotestinghasbeenusedtoverify thatuncertainties labeled‘stat’areindeednegligiblecompared tootheruncertainties.

3. Resultsanddiscussion

The coefficients vch jet2 as function of pchjetT for 0–5% and 30–50%collisioncentralityarepresentedinFig. 4.Significantpos- itive vch jet2 is observed insemi-central collisions andno (signifi- cant) pTdependenceisvisible.Theobservedbehaviorisindicative ofpath-length-dependent in-medium partonenergy loss.Theob- served vch jet2 in central collisions is of similar magnitude. The systematic uncertainties on themeasurement however are larger than thoseonthe semi-central vch jet2 data,inparticular atlower pchjetT ,asaresultofthelargerrelativebackgroundcontributionto themeasuredjetenergy.

The significance of the results is assessed by calculating a p-valueforthehypothesisthat vch jet2 =0 overthepresentedmo- mentum range.The p-valueisevaluated startingfromamodified

χ

2 calculationthat takesintoaccount bothstatisticaland(corre- lated)systematicuncertainties,assuggestedin[59].Themodified

χ

2 forthehypothesisvch jet2 =

μ

i iscalculatedbyminimizing

˜

χ

2

( ε

corr

, ε

shape

) =

n

i=1

(

v2,i

+ ε

corr

σ

corr,i

+ ε

shape

μ

i

)

2

σ

i2

+ ε

corr2

+

1 n

n

i=1

ε

2shape

σ

shape2 ,i

(16)

(7)

Table 1

Systematicuncertaintiesonvch jet2 forvarioustransversemomentaandcentralities.Uncertaintiesincentralandsemi-centralcollisionsaregiveninthesamepTranges.The definitionsofshapeuncertaintyandcorrelateduncertaintyareexplainedinSec.2.5.Fieldswiththevaluestat’indicatethatnosystematiceffectcanberesolvedwithin thestatisticallimitsoftheanalysis.

pchjetT (GeV/c) Uncertainty onvch jet2

30–40 60–70 80–90 30–40 60–70 80–90

Centrality (%) 0–5 30–50

Shape Unfolding 0.017 0.012 0.016 0.016 0.011 0.015

pchjetT -measured 0.013 stat stat 0.024 stat stat

ρch(ϕ)fit 0.015 stat 0.016 stat stat stat

Total 0.027 0.012 0.023 0.029 0.011 0.015

Correlated Tracking 0.009 0.009 0.009 0.007 0.007 0.007

pchjetT -unfolded stat stat stat stat stat stat

Total 0.009 0.009 0.009 0.007 0.007 0.007

Fig. 4.Second-orderharmoniccoefficientvch jet2 asafunction of pchjetT for0–5%(a)and30–50%(b)collisioncentrality.Theerrorbarsonthepointsrepresentstatistical uncertainties,theopenandshadedboxesindicatetheshapeandcorrelateduncertainties(asexplainedinSec.2.5).

withrespect tothesystematicshifts

ε

shape,

ε

corr,where v2,i rep- resentthemeasureddata(npoints),

σ

iarestatisticaluncertainties and

σ

shape,i,

σ

corr,idenotethetwospecifictypesofsystematicun- certainties.Theparameter

ε

corrisameasureofthefullycorrelated shifts;ashiftofalldatapointsbythecorrelateduncertainty

σ

corr,i givesa totalcontributionto

χ

˜2 ofone unit.Thesystematicshifts forthe shape uncertainty are taken to be of equal size for each point, since this gives the best agreement with the vch jet2 =0 hypothesis andthus provides a conservative estimate of the sig- nificance;the penalty factor is constructed such that an average shiftofalldatapointsby

σ

shape addsoneunitto

χ

˜2.

The p-value itself iscalculated usingthe

χ

2 distribution with n2 degrees of freedom. For semi-central collisions a p-value of0.0009isfound,indicating significantpositive vch jet2 .Itshould be noted that the most significant data points are at pchjetT <

60 GeV/c; the results in the range 60<pchjetT <100 GeV/c are compatible with vch jet2 =0 (p-value 0.02). In central collisions, a p-value withrespect to thehypothesis of vch jet2 =0 of0.12is foundwhichindicatesthat vch jet2 iscompatiblewith0withintwo standarddeviations. Followingthe sameapproach an upperlimit ofvch jet2 =0.088 isfoundwithinthesameconfidenceinterval.

3.1.Comparisontopreviousmeasurementsandmodelpredictions

Togeta betterqualitativeunderstandingoftheresults,the v2 of single charged particles vpart2 [21,22] and the ATLAS vcalo jet2

measurement [33] are shown together with the vch jet2 measure- mentinFig. 5.TheATLASresultisforjetswithresolutionparam- eter R=0.2 within |

η

|<2.1 comprising both chargedand neu- tralfragments.The eventplane angleismeasured bytheforward calorimetersystemat3.2<|

η

|<4.9.Jetsarereconstructedbyap- plyingtheanti-kT algorithmtocalorimetertowers,afterwhich,in an iterativeprocedure,a flow-modulatedunderlying eventenergy issubtracted.Eachjetisrequiredtoliewithin

η

2+

ϕ

2<0.2 ofeitheracalorimeterclusterofpT>9 GeV/cora pT>10 GeV/c trackjet withresolutionparameterR=0.4 builtfromconstituent tracks of pT>4 GeV/c (the full reconstruction procedurecan be foundin[33,60]).

It is importantto realize that the energyscales ofthe ATLAS vcalo jet2 andALICEvch jet2 measurementsaredifferent(astheALICE jetsdonotincludeneutralfragments)whichcomplicatesa direct comparisonbetweenthetwomeasurements.ThecentralATLASre- sultsarealsoreportedin5–10%collisioncentrality.TheALICEand ATLASmeasurementsareinqualitativeagreement,bothindicating path-length-dependentpartonenergyloss.Giventheuncertainties, thedifferenceinthecentralvaluesofthemeasurementisnotsig- nificant.

Fig. 5alsoshowsthe v2 ofsinglechargedparticlesvpart2 (from [21,22]),whichisexpectedtobemostlycausedbyin-mediumen- ergylossatintermediateandhighmomenta(pT5 GeV/c).Even thougha directquantitativecomparisonbetweenvch jet2 andvpart2 cannot be madeastheenergyscales forjetsandsingle particles aredifferent,themeasurementscanbecompared qualitatively,and

(8)

Fig. 5.Ellipticflowcoefficientv2ofchargedparticles[21,22](red,green)andR=0.2 fulljets(comprisingbothchargedandneutralfragments)measuredwithin|η|<2.1 [33](blue)superimposedontheresultsfromthecurrentanalysisofR=0.2 chargedjetsvch jet2 .Inallmeasurements,statisticalerrorsarerepresentedbybarsandsystematic uncertaintiesbyshadedoropenboxes.NotethatthesamepartonpTcorrespondstodifferentsingleparticle,fulljetandchargedjetpT.ATLASvcalo jet2 andCMSv2from [22,33]in30–50%centralityaretheweightedarithmeticmeansofmeasurementsin10%centralityintervalsusingtheinversesquareofstatisticaluncertaintiesasweights.

(Forinterpretationofthereferencestocolorinthisfigurelegend,thereaderisreferredtothewebversionofthisarticle.)

Fig. 6.vch jet2 ofR=0.2 chargedjetsobtainedfromtheJEWELMonte Carlo(redline)forcentral(a)andsemi-central(b)collisions comparedtodata.JEWELdatapointsare presentedwithonlystatisticaluncertainties.(Forinterpretationofthereferencestocolorinthisfigurelegend,thereaderisreferredtothewebversionofthisarticle.)

itcanbeseenthat forcentralevents,thesingleparticle vpart2 and vch jet2 areofsimilarmagnitudeandonlyweaklydependentonpT over a large range of pT (≈20–50 GeV/c). For non-central colli- sions (30–50%), the measurements of v2 for single particles and jetsare also inqualitative agreement in the pT range wherethe uncertaintiesallowforacomparison.

Fig. 6showsthevch jet2 ofR=0.2 chargedjetsfromtheJEWEL Monte Carlo[29,30]comparedtothemeasured vch jet2 .JEWELsim- ulates parton shower evolution in the presence of a dense QCD medium by generating hard scatterings according to a collision geometryfromaGlauber[61]densityprofile.A1DBjorkenexpan- sionisused tosimulatethetime evolution ofthemedium. After radiativeandcollisionalenergyloss,PYTHIAis usedtohadronize thefragmentstofinalstateparticles.

TheanalysisontheJEWELeventsisperformedwiththe same jet definitionandacceptancecriteriathat are usedforthe vch jet2 analysisindata,usingthesymmetryplane2 fromthesimulated initial geometry as EP,2. The JEWEL Monte Carlo shows finite significant vch jet2 in semi-central collisions; in central collisions

vch jet2 is compatiblewithzero.The JEWELresultforsemi-central 30–50%collisionsiscompatiblewiththemeasuredvalues(p-value 0.4 using Eq. (16) with the JEWEL results as hypothesis

μ

i and the quadraticsumofthestatisticaluncertainties ofboth datasets as

σ

i inthe denominator ofthe firstsumof Eq.(16)). In central JEWEL collisions vch jet2 is consistent with zero, while the mea- sured values are compatible with the JEWEL vch jet2 within two standard deviations.Itshould alsobe notedthat JEWELcurrently uses an optical Glauber modelfor the initial state andtherefore doesnotincludefluctuationsintheparticipantdistributiondueto the spatial configuration ofnuclei inthe nucleus. This simplified treatment ofthe overlapgeometrymayunderestimate the vch jet2 [38,62]. Thiscomparisonofvch jet2 inJEWELtoexperimental data complements earlierstudiesofthepath-length-dependent parton energylossandmodelpredictionsforthejet RAA [5].

4. Conclusion

The azimuthal anisotropy of R=0.2 charged jet production, quantified as vch jet2 , has been presented in central and semi-

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