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Contents lists available atScienceDirect

Physics Letters B

www.elsevier.com/locate/physletb

Centrality dependence of the pseudorapidity density distribution for charged particles in Pb–Pb collisions at √

s

NN

= 5 . 02 TeV

.ALICE Collaboration

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

Articlehistory:

Received9January2017

Receivedinrevisedform19June2017 Accepted9July2017

Availableonline14July2017 Editor:L.Rolandi

We present the charged-particle pseudorapidity density in Pb–Pb collisions at √s

NN=5.02 TeV in centralityclassesmeasuredbyALICE.Themeasurementcoversawidepseudorapidityrangefrom−3.5 to5,whichissufficientforreliableestimatesofthetotalnumberofchargedparticlesproducedinthe collisions.Forthemostcentral(0–5%)collisionswefind21400±1300,whileforthemostperipheral (80–90%)we find230±38.Thiscorresponds toan increaseof(27±4)% over theresults at√s

NN= 2.76 TeV previouslyreportedbyALICE.Theenergydependenceofthetotalnumberofchargedparticles produced inheavy-ioncollisions is foundtoobey amodifiedpower-lawlikebehaviour. Thecharged- particlepseudorapiditydensityofthemostcentralcollisionsiscomparedtomodelcalculations—none ofwhichfullydescribes themeasureddistribution.Wealsopresentanestimateoftherapiditydensity ofchargedparticles.Thewidth ofthatdistributionisfoundtoexhibitaremarkableproportionalityto thebeamrapidity,independentofthecollisionenergyfromthetopSPStoLHCenergies.

©2017TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.

1. Introduction

Inultra-relativisticheavy-ioncollisions a denseandhot phase of nuclear matter is created [1–4]. This phase of QCD matter is consideredtobe aplasmaofstronglyinteractingquarksandglu- ons and is therefore labelled the sQGP [5]. The multiplicity of primary, charged particles produced in heavy-ion collisions is a keyobservabletocharacterisethepropertiesofthemattercreated inthese collisions [6]. The studyof theprimary charged-particle pseudorapiditydensity(dNch/d

η

) overa wide pseudorapidity(

η

) rangeanditsdependenceoncollidingsystem,centre-of-mass en- ergy,andcollision geometryisimportantto understandtherela- tivecontributionstoparticleproductionfromhardscatteringsand softprocesses,andmayprovideinsightintothepartonicstructure oftheinteractingnuclei.

Wehave previouslyreportedmeasurements on primarycharged- particlepseudorapiditydensitiesoverawidepseudorapidityrange inPb–Pbcollisions atthecentre-of-mass energypernucleonpair

sNN=2.76 TeV[7].InthisLetter,westudythesedistributionsin thepseudorapidityintervalfrom−3.5 to5 atacollisionenergyof

sNN=5.02 TeV asa functionofthe centrality.Pseudorapidityis definedas

η

≡ −log(tan(ϑ/2)),whereϑ istheanglebetweenthe charged-particle trajectory andthebeam axis(z-axis).Nuclei are extendedobjects,andtheircollisionscanbecharacterisedbycen- trality— the experimental proxy forthe un-measurable distance

E-mailaddress:[email protected].

between the centres of the colliding nuclei (impact parameter).

A primary particle is a particle with a mean proper lifetime

τ

larger than 1 cm/c, which is either a) produced directly in the interaction, or b) from decays of particles with

τ

smaller than 1 cm/c,restrictedtodecaychainsleadingtotheinteraction[8].In this Letter, all quantities reported are forprimary chargedparti- cles,thoughwewillomit“primary”forbrevity.

Withthe largepseudorapidity coverage available inALICE, we can reliably estimate, for all centrality classes, the total number ofchargedparticles produced inthecollisions. We thereforealso presentthefirstmeasurement ofthetotalcharged-particle multi- plicityinPb–Pbcollisions at√

sNN=5.02 TeV asafunctionofthe numberofnucleonsparticipatinginthecollisions(Npart).

Finally, we transform the measured dNch/d

η

distribution for the5%mostcentralcollisionsintocharged-particlerapiditydensity (dNch/dy),andweexaminethecentre-of-massenergydependence of the width of that distribution. The rapidity (y) of a particle withenergyEandmomentumcomponentpzalongthebeamaxis isdefinedas y12log([E+pz]/[Epz]).Thecomparisonofthe width of the dNch/dy atdifferent collision energies provides an insight intotheconstraints onthe overall productionmechanism ofchargedparticles.

2. Experimentalsetup

A detailed description of ALICE and its performance can be found elsewhere [9,10]. In the following, we briefly describe the detectorsrelevanttothisanalysis.

http://dx.doi.org/10.1016/j.physletb.2017.07.017

0370-2693/©2017TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense(http://creativecommons.org/licenses/by/4.0/).Fundedby SCOAP3.

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TheSiliconPixelDetector(SPD),theinnermostpartoftheInner TrackingSystem(ITS), consistsoftwo cylindricallayers ofhybrid siliconpixelassembliescovering|

η

|<2 and|

η

|<1.4 fortheinner andouterlayers,respectively.Combinationsofhitsoneachofthe twolayers consistent withtracksoriginatingfromtheinteraction pointformtracklets.

TheForwardMultiplicityDetector(FMD)isasiliconstripdetec- torwhich,recordstheenergydepositedbyparticlestraversingthe it.Thedetectorcoversthepseudorapidityregions−3.5<

η

<1.8 and1.8<

η

<5,andhasalmostfullcoverageinazimuth(

ϕ

),and highgranularityintheradial(

η

)direction.

The third detector system used in this analysis is the V0. It consistsoftwosub-detectors:V0-AandV0-C coveringthepseudo- rapidity regions 2.8<

η

<5.1 and −3.7<

η

<1.7,respectively, eachmadeup ofscintillatortileswithatiming resolution<1 ns.

The fast signals from eitherof V0-A or V0-C are combined in a programmable logic to form a trigger signal and to reject back- groundevents.Furthermore,the combined pulseheight signal of bothsub-detectors formsthebasis fortheclassificationofevents intodifferentcentralityclasses[11].

The Zero-Degree Calorimeter (ZDC) measures the energy of spectator (non-interacting) nucleons with two components: one measures protons and the other measures neutrons. The ZDC is locatedatabout112.5 mfromtheinteractionpointonbothsides ofthe experiment [9]. The ZDCalsoprovides timing information usedtoselectcollisionsintheoff-linedataprocessing.

3. Datasampleandanalysismethod

Theresults presentedherearebasedon datacollected by AL- ICEin2015during thePb–Pbcollision runofthe LHCat√

sNN= 5.02 TeV. About 100000 eventswitha minimumbias triggerre- quirement[12] were analysed inthe centralityrange from0% to 90%.TheminimumbiastriggerforPb–PbcollisionsinALICE,which definesthe so-called visiblecross-section, is definedas a coinci- dencebetweentheA(z>0)andC(z<0)sidesoftheV0detector.

Thestandard ALICEeventselection[13] andcentralityestima- torbasedontheV0–amplitude[11]areusedinthisanalysis.The eventselection consistsof: exclusionof backgroundevents using the timing information fromthe ZDC andV0 detectors; verifica- tionofthetriggerconditions;andareconstructed positionofthe collision.Asdiscussedelsewhere[11],the90–100%centralityclass hassubstantialcontributionsfromQEDprocessesandistherefore notincludedintheresultspresentedhere.

The measurement ofthe charged-particle pseudorapidity den- sityat mid-rapidity (|

η

|<2) is obtainedfroma tracklet analysis usingthetwolayersoftheSPD.Theanalysismethodusedisiden- ticaltowhat haspreviously beenpresented [12,14,15]. Notethat noattemptismadetocorrectforknowndeficiencies,suchasdevi- ationsinthenumberofstrangeparticlesortransversemomentum (pT)distributionscomparedtoexperimentalmeasurements[11,16, 17], in the eventgenerators used to obtain the corrections from simulations (e.g.,HIJING). It isfound, through simulationstudies, thattrackletreconstructionfirstandforemostdependsonthelocal hit density andonly weakly on particle mix andtransverse mo- mentum.Forexample,thedeficitofstrangeparticlesintheevent generatoreffectstheresultbylessthan2%.Sincetheeventgenera- torsgenerally,afterdetectorsimulation,producealocalhitdensity thatisconsistentwithwhatisobservedindata,weobserveacor- respondencebetweenthetrackletsamplesofbothsimulationsand data.Ontheother hand,changingthenumberoftracklets corre- spondingtostrangeparticlesapostioritomatchthemeasuredrel- ativeyieldsdramaticallybiasesthesimulatedtrackletsampleaway fromthemeasured,thusentailingsystematicuncertaintiesthatare beyondtheeffect oftheknown eventgeneratordeficiencies, and

Fig. 1.[Colour online.] Charged-particlepseudorapidity density forten centrality classesoverabroadηrangeinPb–Pbcollisionsat

sNN=5.02 TeV.Boxesaround the pointsreflectthe totaluncorrelated systematicuncertainties,whilethe filled squares on the right reflect the correlated systematicuncertainty (evaluated at η=0).Statisticalerrorsaregenerallyinsignificantandsmallerthanthemarkers.

Alsoshownisthereflectionofthe3.5<η<5 valuesaroundη=0 (opencircles).

Thelinecorrespondstofitsofthedifference betweentwoGaussianscentredat η=0 (fGG)[7]tothedata.

assuchdonotimprovetheaccuracyofthemeasurements.Instead, variationsontheeventgeneratorsareusedtoestimatethesystem- aticuncertaintiesasdetailedelsewhere[12,14,15].

Intheforwardregions (−3.5<

η

<1.8 and 1.8<

η

<5),the measurement isprovidedby theanalysisofthedepositedenergy signal intheFMD.The analysismethodusedisidenticaltowhat haspreviouslybeenpresented[7,14]:a statisticalapproachtocal- culatetheinclusivenumberofchargedparticles;andadata-driven correction — derived from previous satellite-main collisions — to removethelargebackgroundfromsecondaryparticles.

4. Systematicuncertainties

For the measurements at mid-rapidity the sources and de- pendencies ofthesystematicuncertaintiesare detailedelsewhere [7,12,15]. The magnitude of the systematic uncertainties is un- changed withrespecttoprevious results,andamounts to2.6% at

η

=0 and 2.9% at

η

=2,mostofwhichiscorrelatedover|

η

|<2, andlargelyindependentofcentrality.

Thesystematicuncertaintyontheforwardanalysisisevaluated usingthesametechnique asforpreviousresults[7].Wefindthat theuncertaintyisuncorrelatedacross

η

anthatitamountsto6.9%

for

η

>3.5 and6.4% elsewherewithintheforwardregions.

The systematic uncertainty on dNch/d

η

due to the centrality classdefinitionisestimatedas0.6% forthemostcentraland9.5%

for the most peripheral class [15]. The uncertainty is estimated by usingalternative centrality definitions basedon SPD hit mul- tiplicitiesandbyvaryingthefractionofthevisiblehadroniccross- section. The 80–90% centrality class has some residual contam- ination from electromagnetic processes detailed elsewhere [11], which givesrisetoa 4% additionalsystematicuncertainty onthe measurements.

In summary,thetotal systematicuncertaintyvariesfrom2.6%

atmid-rapidityinthemostcentralcollisionsto12.4% atthevery forwardrapiditiesforthemostperipheralcollisions.

5. Results

Fig. 1 presents the charged-particle pseudorapidity densityas a function of pseudorapidity for ten centralityclasses. The mea- surements from the SPD and FMD are combined in regions of overlap (1.8<|

η

|<2) between the two detectors by taking the weighted average using the non-shared uncertainties as weights.

Finally,basedonthe symmetryofthecollisionsystem, theresult issymmetrisedaround

η

=0,andextendedintothenon-measured

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Fig. 2.[Colouronline.]Totalnumberofchargedparticlesasafunctionofthemean numberofparticipating nucleons [11]. The totalcharged-particle multiplicity is givenastheintegraloverdNch/dηoverthemeasuredregion(3.5<η<5)and extrapolationsfromfittedfunctionsintheunmeasuredregions.Thecontribution fromunmeasured ηregions amounts to30% ofthe totalnumberofcharged particles.Theuncertaintyontheextrapolationtotheunmeasuredpseudorapidity regionissmallerthanthesizeofthemarkers.Thecontributiontothesystematic uncertaintiesfromthecentralitydeterminationandelectromagneticprocessesare vanishingcomparedtothecontributionfromthelargestdifferencesbetweenthe fittedfunctions.Afunctioninspiredbyfactorisation[18]isfittedtothedata,and thebestfityieldsa=51.5±7.3,b=0.16±0.05.

region−5<

η

<3.5 byreflectingthe3.5<

η

<5 valuesaround

η

=0. Complementing resultpreviously reported atmid-rapidity [15],wefind dNch/d

η

||η|<0.5=17.52±0.05(stat)±1.84(sys)and Npart=7.0.1 inthe80–90%centralityclass.

Themeasured distributions arefittedwithfourfunctions fGG, fP, fT,and fB [7],whichare the differenceof twoGaussian dis- tributions centredat

η

=0; aparametrisation proposed by PHO- BOS[18];atrapezoidalform;andaplateauconnectedtoGaussian tails, respectively. To extract the total number of charged parti- cles,wecalculatetheintegralanduncertaintyfromthedatainthe measured region and use the integrals of the fitted functionsin theunmeasuredregions uptothe beamrapidity±ybeam= ±8.6.

Asforthepreviousmeasurementsat√

sNN=5.02 TeV,thecentral value inthe unmeasuredregions (−8.6<

η

<3.5 and 5<

η

<

8.6)istakenfromthefitofthefunction fT,whiletheuncertainty isevaluatedasthelargestdifferencebetweenthe fittedfunctions scaled by 1/

3 [7,14]. The total charged-particle multiplicity is shownin Fig. 2versus the meannumber of participatingnucle- ons (Npart) estimated from a Glauber calculation [11,15]. After removing correlated systematic uncertainties, we observe an in- creaseinthe totalnumberofchargedparticles of(27±4)% with respectto the measurements at√

sNN=2.76 TeV[7] forall cen- trality classes. The line shown in Fig. 2 corresponds to a fit of a function inspired by factorisation [18]. The function illustrates scalingby numberofparticipantpairs,witha smallperturbation proportional to the cubic rootof the number of participants. As the number of nucleon–nucleon collisions (Ncoll) scales roughly likethesquareofthenumberofparticipantsNcollN2part[19],we seenoindication of scalingby numberofnucleon–nucleon colli- sions.The observed total Nch dependenceon Npartprovides no evidenceofanysignificantincreaseinthenumberofhardscatter- ingsbetweentheparticipatingnucleonsandpartons.

InFig. 3,wecomparethecharged-particle pseudorapidityden- sity for the 0–5% most central collisions to three models: HI- JING [20]; EPOS–LHC [21]; and KLN [22,23], also for the 0–5%

mostcentral,exceptforKLNwhichisshownforthe0–6%central- ityclass.TwoversionsofHIJINGareused:version 1.383,withjet quenchingdisabled,shadowing enabled, anda hard pT cut-offof 2.3 GeV;andthenewerversion 2.1[24].Botharetwo-component models witha softand hard sector definedby a pT cut-offsep- arating the two. In the 2.1 implementation, HIJING uses an up- graded parametrisation of the nuclear parton distribution func-

Fig. 3.[Colouronline.]ComparisonofdNch/dη inthe0–5%(0–6%forKLN)most centralcollisionsoftwoversionsofHIJING,KLN,andEPOS–LHCmodelcalculations tothemeasureddistribution.

Fig. 4.[Colouronline.]TotalnumberofchargedparticlesasafunctionofsNNfor themostcentralcollisionsatAGS (0–5%Au–Au)[25,26],SPS (0–5%Pb–Pb)[27,28], RHIC (0–5%and0–6%Au–Au)[18,29,30],andLHC (0–5%Pb–Pb)[14].Thedotted, dashed,andfulllinesareextrapolationsfromfitstolowerenergyresults[14],while thedash-dottedlineisafitoverallenergies,includings

NN=5.02 TeV.

tions.Thisresultsinalargercrosssectionforsoftprocessesanda smallercrosssectionforjetproduction.TheKLN modelisbasedon Colour-Glass-Condensate initial conditions, while EPOS-LHC uses so-called parton-ladders which hadronise in a medium. While noneofthethreemodels describethemeasured charged-particle pseudorapiditydensityoverthefull pseudorapidityrange,weob- serve some differences: HIJING 1.383 over-predicts the charged- particle production especially away from

η

0; EPOS–LHC and HIJING 2.1 consistently under-predict the charge-particle produc- tion; whereas KLN, EPOS–LHC, and HIJING 2.1 give a shape rea- sonably close to the observed distribution. Not shown in Fig. 3, forbothHIJING 1.383andEPOS–LHC,theseobservationsholdover allcentralityclassesi.e.,HIJING 1.383consistentlyproducesfartoo manyparticlesawayfrommid-rapidityandEPOS–LHCconsistently under-predicts the charged-particle yield over the full

η

range.

Thesetrends becomeincreasingly morepronouncedformorepe- ripheralcollisions.

Fig. 4 showsthe total number of charged particles produced in themostcentral heavy-ion collisions asa functionof thecol- lisionenergy,ranging from√

sNN=2.6 GeV to 5.02 TeV [14].The dotted,dashed,andfull-drawnlinesinthefigurerepresentextrap- olationsfromlowerenergyresultstothecurrenttopLHCenergyof

sNN=5.02 TeV.Noneofthesepredictionsfullydescribethedata.

A refitofthesimplemodelofalogarithmic-dampenedpower-law inthesquarecollisionenergy(s)includingfromthelowesttothe highestenergyresults,shownasthedash-dottedline, doesaccu- ratelydescribethetotalnumberofchargedparticlesatallavailable energies.

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Fig. 5.[Colour online.] Estimate ofdNch/dy in the most central (0–5%)Pb–Pb collisionsat

sNN=5.02 TeV. Alsoshown arethe Landau–Wong [31], Landau–

Carruthers[32],Gaussian,anddouble-Gaussiandistributions.

Fig. 6.[Colour online.]Scalingbehaviourasafunctions

NN ofthewidthofthe charged-particleor-pionrapidity-densitydistributionwithrespecttotheLandau–

Carrutherswidth(top)andrapidityrange(bottom).Charged-pionpointsfromAGS andSPSareadaptedfromtheliterature[33],whilethePHOBOS(filledcrosses)[34]

andBRAHMS(opencrosses)[30]charged-hadronpointsaretranslatedfromthecor- respondingdNch/dηresults.

We can calculate the Jacobian transform from

η

to rapidity y by assuming the same transverse momentum distribution of (anti-)protons, and charged kaons andpions, andthe same par- ticleratios inPb–Pb collisions at √

sNN=5.02 TeV as in √ sNN= 2.76 TeV.TheresultispresentedinFig. 5forthe0–5%mostcen- tral collisions. The effect on the Jacobian fromthe changeof pT

spectraandparticleratioswhenincreasingthecollisionenergyby almosta factortwoisevaluated usingtheEPOS–LHC model[21].

Itisfound,thattheeffectisatmost3‰onbothdNch/dyandy— muchsmallerthanthesystematicuncertaintyand

η

resolutionof theanalysis.Fig. 5alsoshowstheexpectedcharged-particlerapid- itydensities from the Landau–Carruthers [32] andLandau–Wong [31] models,both assuming Landauhydrodynamics i.e., basedon areactionscenariowithfullstoppingofthereactionpartnersand asubsequentthermodynamic evolution.Themeasurements,how- ever,areseentobeconsistentwithaGaussiandistributionwitha widthof4.12±0.10,much widerthan thewidth expectedfrom thetwomodels.Abestparameterfitofthesumoftwo Gaussian distributionswithmeanssymmetricaroundy=0,isindistinguish- ablefromthesingleGaussiancase.

In the top part of Fig. 6 we compare the widths of the charged-particle or -pion rapidity density distribution extracted frommeasurements tothe expectedwidth

σ

L-C2 =log(

sNN/2mp) from Landau–Carruthers, where mp is the proton mass, at colli- sion energies ranging from2.6 GeV up to 5.02 TeV. An increase of ≈7% of

σ

dNX/dy/

σ

L-C is seen from the √

sNN=2.76 TeV AL- ICE measurements [14]. The full evolution is consistent with an almost linearriseasa function oflog√

sNN fromthe topSPS en- ergyat√

sNN=17.3 GeV. Itcanbe shown[35] thatthe widthof

the rapidity-density distribution in Landau hydrodynamics scales as

σ

dNX/dy1/(1−c2s),wherecsisthespeedofsoundinthemat- ter.The lifetimeofthe systemscales inverselywithcs,andgiven that the measured widthis larger than the predicted by Landau hydrodynamics, it is an indication that, given the considerations above,thelifetimeisshorterthansuggested.

In the bottom part of Fig. 6 we compare the width of the dNch/dy distribution totheavailable rapidityrange(2ybeam). We observe no dependence ofthis ratio from √

sNN=17.3 GeV and upward, indicating that the available phase–space constrains the width of that distribution. The charged-hadron measurements at RHIC (crosses) from the BRAHMS [30] and PHOBOS [34] mea- surements ofdNch/d

η

areconverted to dNch/dy usingthe same method as applied to the ALICE data. Previously, charged-pion measurements fromBRAHMShavebeenreported[33].Thesedata arenotincludedbecauseare-evaluationusingRHICRun-4Au–Au datahasnotbeenfinalised[36].

Fromtheobservedsp scalingofthecharged-particlepseudora- pidity densityatmid-rapidity[15] weexpect a20% increaseover

sNN=2.76 TeV in thelevelof dNch/d

η

||η|<0.5 andfromtheex- tractedwidthofdNch/dy weobserveanadditional7%,consistent withtheincreaseof27% over√

sNN=2.76 TeV inthetotalnumber ofchargedparticlesproducedin√

sNN=5.02 TeV collisions.

6. Conclusions

Thecharged-particlepseudorapiditydensityismeasuredinPb–

Pb collisions at √

sNN=5.02 TeV over the psuedorapidity range

3.5<

η

<5. The totalnumber ofchargedparticles produced is determined owing to the large pseudorapidity acceptance of AL- ICE.Thelatterincreasesbytwoordersofmagnitudefromthemost peripheralto themostcentralcollisions andscales approximately with the number of participating nucleons. The increase in the totalnumberofchargedparticlesrelativeto√

sNN=2.76 TeV ises- timated tobe(27±4)%. Thecharged-particle rapidity densityfor themostcentralcollisions isextracted, andthewidthofthatdis- tribution is compared to predictionsfrom theLandau–Carruthers andLandau–Wonghydrodynamicmodels.Itisfoundthatthemea- suredcharged-particlerapiditydensitybecomesincreasinglywider as a function of collision energy than predicted by Landau hy- drodynamics. The width of the charged-particle rapidity density is seen to scale with the beam rapidity, which implies that the available phase space determines the longitudinal extend of the charged-particle production.Thephase spacedominancestarts at thetopSPSenergyandpersistfortwo ordersofmagnitudeupto thetopLHCenergy.

Acknowledgements

The ALICECollaboration would like to thank all its engineers andtechniciansfortheirinvaluablecontributionstotheconstruc- tion of the experiment and the CERN accelerator teams for the outstanding performance of the LHC complex. The ALICE Collab- oration gratefully acknowledges the resources and support pro- videdbyallGridcentresandtheWorldwideLHCComputingGrid (WLCG) collaboration. The ALICE Collaboration acknowledges the following fundingagenciesfortheir supportin buildingandrun- ningthe ALICEdetector:A.I. AlikhanyanNationalScience Labora- tory(YerevanPhysicsInstitute)Foundation (ANSL),State Commit- teeofScienceandWorldFederationofScientists(WFS),Armenia;

Austrian Academyof SciencesandNationalstiftung fürForschung, Technologie und Entwicklung, Austria; Conselho Nacionalde De- senvolvimento Científico e Tecnológico (CNPq), Universidade Fed- eral do Rio Grande do Sul (UFRGS), Financiadora de Estudos e Projetos (Finep) and Fundação de Amparo à Pesquisa do Estado

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deSãoPaulo(FAPESP),Brazil;MinistryofScience&Technologyof China(MSTC),NationalNaturalScienceFoundationofChina(NSFC) andMinistryofEducationofChina(MOEC),China;MinistryofSci- ence,EducationandSportandCroatianScienceFoundation,Croa- tia;MinistryofEducation,YouthandSportsoftheCzechRepublic, Czech Republic; The Danish Council for Independent Research–

NaturalSciences,theCarlsbergFoundationandDanishNationalRe- search Foundation (DNRF), Denmark;Helsinki Institute ofPhysics (HIP),Finland;Commissariatàl’EnergieAtomique(CEA)andInsti- tut Nationalde Physique Nucléaire etde Physique des Particules (IN2P3)andCentre National de laRecherche Scientifique (CNRS), France; Bundesministerium für Bildung, Wissenschaft, Forschung undTechnologie(BMBF)and GSI Helmholtzzentrumfür Schweri- onenforschung GmbH, Germany; Ministry of Education, Research andReligiousAffairs,Greece;NationalResearch,Developmentand Innovation Office, Hungary; Department of Atomic Energy, Gov- ernment of India (DAE) and Council of Scientific and Industrial Research (CSIR), New Delhi, India; Indonesian Institute of Sci- ence,Indonesia;CentroFermi- Museo StoricodellaFisica eCen- troStudi e Ricerche EnricoFermi andIstitutoNazionale di Fisica Nucleare(INFN), Italy; Institute forInnovative Science and Tech- nology, Nagasaki Institute of Applied Science (IIST), Japan Soci- ety for the Promotion of Science (JSPS) KAKENHI and Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan;Consejo Nacional de Ciencia y Tecnología(CONA- CYT), through Fondo de Cooperación Internacional en Ciencia y Tecnología(FONCICYT)andDirecciónGeneralde AsuntosdelPer- sonal Academico (DGAPA), Mexico; Nationaal instituut voor sub- atomaire fysica (Nikhef), Netherlands; The Research Council of Norway,Norway;CommissiononScienceandTechnologyforSus- tainableDevelopmentintheSouth(COMSATS),Pakistan;Pontificia UniversidadCatólicadelPerú,Peru;MinistryofScienceandHigher EducationandNationalScience Centre,Poland;Korea Institute of ScienceandTechnology Information andNationalResearchFoun- dation of Korea (NRF), Republic of Korea; Ministry of Education andScientific Research,InstituteofAtomic PhysicsandRomanian National Agency for Science, Technology and Innovation, Roma- nia;JointInstituteforNuclearResearch(JINR),MinistryofEduca- tionandScienceoftheRussian FederationandNationalResearch CentreKurchatovInstitute, Russia;MinistryofEducation,Science, ResearchandSportoftheSlovak Republic, Slovakia; NationalRe- search Foundation of South Africa, South Africa; Centrode Apli- cacionesTecnológicasyDesarrolloNuclear(CEADEN),Cubaenergía, Cuba, Ministerio de Ciencia e Innovacion and Centro de Investi- gacionesEnergéticas, Medioambientales y Tecnológicas (CIEMAT), Spain;SwedishResearchCouncil(VR)andKnut&AliceWallenberg Foundation(KAW),Sweden;EuropeanOrganizationforNuclearRe- search,Switzerland;NationalScienceandTechnologyDevelopment Agency(NSDTA),SuranareeUniversityofTechnology(SUT)andOf- fice of the Higher Education Commission under NRU project of Thailand,Thailand;TurkishAtomicEnergyAgency(TAEK), Turkey;

National Academy of Sciences of Ukraine, Ukraine; Science and TechnologyFacilitiesCouncil(STFC),UnitedKingdom;NationalSci- enceFoundationoftheUnitedStatesofAmerica(NSF)andUnited StatesDepartmentofEnergy, Office ofNuclear Physics(DOE NP), UnitedStatesofAmerica.

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ALICECollaboration

J. Adam

38

, D. Adamová

86

, M.M. Aggarwal

90

, G. Aglieri Rinella

34

, M. Agnello

30,112

, N. Agrawal

47

, Z. Ahammed

137

, S. Ahmad

17

, S.U. Ahn

69

, S. Aiola

141

, A. Akindinov

54

, S.N. Alam

137

,

D.S.D. Albuquerque

123

, D. Aleksandrov

82

, B. Alessandro

112

, D. Alexandre

103

, R. Alfaro Molina

64

,

A. Alici

12,106

, A. Alkin

3

, J. Alme

21,36

, T. Alt

41

, S. Altinpinar

21

, I. Altsybeev

136

, C. Alves Garcia Prado

122

, M. An

7

, C. Andrei

80

, H.A. Andrews

103

, A. Andronic

99

, V. Anguelov

95

, C. Anson

89

, T. Antiˇci ´c

100

,

F. Antinori

109

, P. Antonioli

106

, R. Anwar

125

, L. Aphecetche

115

, H. Appelshäuser

60

, S. Arcelli

26

, R. Arnaldi

112

, O.W. Arnold

96,35

, I.C. Arsene

20

, M. Arslandok

60

, B. Audurier

115

, A. Augustinus

34

, R. Averbeck

99

, M.D. Azmi

17

, A. Badalà

108

, Y.W. Baek

68

, S. Bagnasco

112

, R. Bailhache

60

, R. Bala

92

,

A. Baldisseri

65

, R.C. Baral

57

, A.M. Barbano

25

, R. Barbera

27

, F. Barile

32

, L. Barioglio

25

, G.G. Barnaföldi

140

, L.S. Barnby

103,34

, V. Barret

71

, P. Bartalini

7

, K. Barth

34

, J. Bartke

119,i

, E. Bartsch

60

, M. Basile

26

,

N. Bastid

71

, S. Basu

137

, B. Bathen

61

, G. Batigne

115

, A. Batista Camejo

71

, B. Batyunya

67

, P.C. Batzing

20

, I.G. Bearden

83

, H. Beck

95

, C. Bedda

30

, N.K. Behera

50

, I. Belikov

134

, F. Bellini

26

, H. Bello Martinez

2

, R. Bellwied

125

, L.G.E. Beltran

121

, V. Belyaev

76

, G. Bencedi

140

, S. Beole

25

, A. Bercuci

80

, Y. Berdnikov

88

, D. Berenyi

140

, R.A. Bertens

53,128

, D. Berzano

34

, L. Betev

34

, A. Bhasin

92

, I.R. Bhat

92

, A.K. Bhati

90

, B. Bhattacharjee

43

, J. Bhom

119

, L. Bianchi

125

, N. Bianchi

73

, C. Bianchin

139

, J. Bielˇcík

38

, J. Bielˇcíková

86

, A. Bilandzic

35,96

, G. Biro

140

, R. Biswas

4

, S. Biswas

4

, J.T. Blair

120

, D. Blau

82

, C. Blume

60

, F. Bock

75,95

, A. Bogdanov

76

, L. Boldizsár

140

, M. Bombara

39

, M. Bonora

34

, J. Book

60

, H. Borel

65

, A. Borissov

98

, M. Borri

127

, E. Botta

25

, C. Bourjau

83

, P. Braun-Munzinger

99

, M. Bregant

122

, T.A. Broker

60

,

T.A. Browning

97

, M. Broz

38

, E.J. Brucken

45

, E. Bruna

112

, G.E. Bruno

32

, D. Budnikov

101

, H. Buesching

60

, S. Bufalino

30,25

, P. Buhler

114

, S.A.I. Buitron

62

, P. Buncic

34

, O. Busch

131

, Z. Buthelezi

66

, J.B. Butt

15

, J.T. Buxton

18

, J. Cabala

117

, D. Caffarri

34

, H. Caines

141

, A. Caliva

53

, E. Calvo Villar

104

, P. Camerini

24

, A.A. Capon

114

, F. Carena

34

, W. Carena

34

, F. Carnesecchi

26,12

, J. Castillo Castellanos

65

, A.J. Castro

128

, E.A.R. Casula

23,107

, C. Ceballos Sanchez

9

, P. Cerello

112

, J. Cerkala

117

, B. Chang

126

, S. Chapeland

34

, M. Chartier

127

, J.L. Charvet

65

, S. Chattopadhyay

137

, S. Chattopadhyay

102

, A. Chauvin

96,35

, M. Cherney

89

, C. Cheshkov

133

, B. Cheynis

133

, V. Chibante Barroso

34

, D.D. Chinellato

123

, S. Cho

50

, P. Chochula

34

, K. Choi

98

, M. Chojnacki

83

, S. Choudhury

137

, P. Christakoglou

84

, C.H. Christensen

83

, P. Christiansen

33

, T. Chujo

131

, S.U. Chung

98

, C. Cicalo

107

, L. Cifarelli

12,26

, F. Cindolo

106

, J. Cleymans

91

, F. Colamaria

32

, D. Colella

55,34

, A. Collu

75

, M. Colocci

26

, G. Conesa Balbastre

72

, Z. Conesa del Valle

51

, M.E. Connors

141,ii

, J.G. Contreras

38

, T.M. Cormier

87

, Y. Corrales Morales

112

, I. Cortés Maldonado

2

, P. Cortese

31

,

M.R. Cosentino

122,124

, F. Costa

34

, J. Crkovská

51

, P. Crochet

71

, R. Cruz Albino

11

, E. Cuautle

62

,

L. Cunqueiro

61

, T. Dahms

35,96

, A. Dainese

109

, M.C. Danisch

95

, A. Danu

58

, D. Das

102

, I. Das

102

, S. Das

4

, A. Dash

81

, S. Dash

47

, S. De

48,122

, A. De Caro

29

, G. de Cataldo

105

, C. de Conti

122

, J. de Cuveland

41

, A. De Falco

23

, D. De Gruttola

12,29

, N. De Marco

112

, S. De Pasquale

29

, R.D. De Souza

123

,

H.F. Degenhardt

122

, A. Deisting

99,95

, A. Deloff

79

, C. Deplano

84

, P. Dhankher

47

, D. Di Bari

32

, A. Di Mauro

34

, P. Di Nezza

73

, B. Di Ruzza

109

, M.A. Diaz Corchero

10

, T. Dietel

91

, P. Dillenseger

60

, R. Divià

34

, Ø. Djuvsland

21

, A. Dobrin

58,34

, D. Domenicis Gimenez

122

, B. Dönigus

60

, O. Dordic

20

, T. Drozhzhova

60

, A.K. Dubey

137

, A. Dubla

99

, L. Ducroux

133

, A.K. Duggal

90

, P. Dupieux

71

, R.J. Ehlers

141

, D. Elia

105

, E. Endress

104

, H. Engel

59

, E. Epple

141

, B. Erazmus

115

, F. Erhardt

132

, B. Espagnon

51

,

S. Esumi

131

, G. Eulisse

34

, J. Eum

98

, D. Evans

103

, S. Evdokimov

113

, L. Fabbietti

35,96

, D. Fabris

109

, J. Faivre

72

, A. Fantoni

73

, M. Fasel

87,75

, L. Feldkamp

61

, A. Feliciello

112

, G. Feofilov

136

, J. Ferencei

86

, A. Fernández Téllez

2

, E.G. Ferreiro

16

, A. Ferretti

25

, A. Festanti

28

, V.J.G. Feuillard

71,65

, J. Figiel

119

, M.A.S. Figueredo

122

, S. Filchagin

101

, D. Finogeev

52

, F.M. Fionda

23

, E.M. Fiore

32

, M. Floris

34

, S. Foertsch

66

, P. Foka

99

, S. Fokin

82

, E. Fragiacomo

111

, A. Francescon

34

, A. Francisco

115

,

U. Frankenfeld

99

, G.G. Fronze

25

, U. Fuchs

34

, C. Furget

72

, A. Furs

52

, M. Fusco Girard

29

, J.J. Gaardhøje

83

,

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