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Contents lists available atScienceDirect

Physics Letters B

www.elsevier.com/locate/physletb

Study of the interaction with femtoscopy correlations in pp and p–Pb collisions at the LHC

.ALICE Collaboration

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

Articlehistory:

Received24May2019

Receivedinrevisedform26July2019 Accepted30July2019

Availableonline1August2019 Editor:L.Rolandi

Thiswork presentsnewconstraintsontheexistenceandthebindingenergyofapossiblebound state, the H-dibaryon, derived from femtoscopic measurements by the ALICE collaboration. The resultsareobtainedfromanewmeasurementusingthefemtoscopytechniqueinpp collisionsat√

s= 13 TeVand p–Pb collisionsat√s

NN=5.02 TeV, combined withpreviouslypublishedresults frompp collisionsat√s=7 TeV.Thescatteringparameterspace,spannedbytheinversescatteringlength f01 and the effectiveranged0,isconstrained by comparingthe measuredcorrelation function withcalculationsobtainedwithintheLednickýmodel.Thedataarecompatiblewithhypernucleiresults and latticecomputations,bothpredictingashallow attractiveinteraction,and permittotest different theoreticalapproaches describingtheinteraction.Theregioninthe(f01,d0) planewhichwould accommodateaboundstateissubstantiallyrestrictedcomparedtopreviousstudies.Thebinding energyofthepossibleboundstateisestimatedwithinaneffective-rangeexpansionapproachand isfoundtobeB=3.2+12..64(stat)+11..80(syst) MeV.

©2019TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.

1. Introductionandphysicsmotivation

A detailed characterization of the interaction is of fun- damentalinterestsinceitplays adecisiverole inthequantitative understanding of the hyperon(Y) appearance in dense neutron- richmatter,inproto-neutronandinneutronstars[1].Ifhyperons doappear atlarge densities andtheir fraction becomes sizeable, theY–Y interaction is expectedto play an importantrole in the equation ofstate of the system[2,3]. Evenif thehyperon densi- tiesin compact objects are negligible,the interplay betweenthe average separations and the effective range determine the possible onset of phenomena such as fermion superfluidity, and henceinfluencethetransportpropertiesofthesystem[4–6].

Thecharacterizationoftheinteractionisstillanopenis- sue in experimental nuclear physics. The Nagara event, recently measured with the emulsion technique [7,8], reports a clear ev- idence fora double-hypernucleus 6He, witha small binding energy between the two s of B= 0.67±0.17 MeV. This value was obtainedby comparing thebinding energy ofthe two sinsidethedoublehypernucleus(B=6.91±0.16 MeV)with thebinding energy ofa single in a single-hypernucleus, how- ever, it might be influenced by three-body forces. Nevertheless, thisresultwas usedtoseta lowerlimit forthemassofthepre- dictedbutsofarnot observedH-dibaryon,apossibleboundstate composedofsixquarks(uuddss)[9].Severalexperimentalcollab- orations have been involved in the search for this state in the decaychannels H→p

π

andH→,in nuclear andelemen-

tary (ee+) collisions, but no evidence has been found [10–12], even though an enhanced production near threshold was measured byE224 andE522 atKEK-PS[13,14]. Theoreticalcalcu- lationsperformedwithinthechiralconstituentquarkmodelrelate theexistenceofaH-dibaryontoanoverbindingofthe6Hemea- suredintheNagaraevent [15,16].

Theoretical models constrained to the available nucleon–

nucleonandhyperon-nucleonexperimental data,assuming either asoft[15–17] orahard [18,19] repulsivecorefortheinter- action,predictdifferentscatteringlengths(f0)andeffectiveranges (d0). Throughoutthispaperthestandard signconvention infem- toscopy is used,accordingto which a positive f0 corresponds to an attractive interaction, while a negative scattering length cor- responds eitherto a repulsive potential (d0>|f0|/2) or abound state (d0<|f0|/2). It was reported that a smallvariation of the repulsive core parametrization leads to inverse scattering lengthswithin −0.27 fm1< f01<4 fm1 andeffective ranges up to 16 fm [20]. Other calculations are directly constrained to the Nagara event and result in rather small scattering lengths andmoderateeffectiveranges,liketheFG(f01=1.3 fm1;d0= 6.59 fm) [21] and theHKMYY (f01= 1.74 fm1;d0= 6.45 fm) [22] models.Itisclearthatmoreexperimentaldataareneededto studytheprobleminamorequantitativeandmodel-independent way.

Analternativemethodtostudyhypernucleiistheinvestigation of momentum correlations of pairs produced in hadron–

https://doi.org/10.1016/j.physletb.2019.134822

0370-2693/©2019TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense(http://creativecommons.org/licenses/by/4.0/).Fundedby SCOAP3.

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hadroncollisionsviathefemtoscopytechnique[23].TheSTARcol- laboration reported a scatteringlength and effective range of f01= −0.91±0.31+00..0756 fm1 andd0= 8.52±2.56+20..0974 fm, measuredinAu–Aucollisions at√

sNN=200 GeV [24].Theseval- uescorrespondto arepulsive interaction; however,itwas shown thatthevaluesandthesignofthescatteringparametersstrongly depend on the treatment of feed-downcontributions fromweak decaystothemeasuredcorrelation.Are-analysisofthedataout- sidetheSTARcollaborationcametodifferentconclusions[20] and resultedinashallowattractiveinteraction.

In a pioneeringstudy [25], the interaction was studied employing the femtoscopy technique in pp collisions at √

s=7 TeV.Thisstudydemonstratedthatthedataareconsistentwithei- ther a bound state or an attractive interaction, however, due to the small data sample no quantitative results were obtained. In thisletter,thesestudiesareextendedbyanalyzingfinal-statemo- mentum correlations in pp collisions at √

s=13 TeV and p–Pb collisionsat√

sNN=5.02 TeV,recordedby ALICEduring LHCRun 2.Thesmallsystemsizeinpp and p–Pb givesrisetopronounced correlations fromstrong final-state interactions dueto the small relativedistanceatwhichparticlesareproduced.Hence,thelarge datasets enable a high-precision studyofthe strong final- stateinteractionandprovidenewexperimentalconstraintsonthe scatteringparametersandtheexistenceofapossibleboundstate.

2. Dataanalysis

The analysis presented in this paper is based on the data samples collected by ALICE [26] during the Run 2 of the LHC (2015–2018) in pp collisions at √

s=13 TeV and p–Pb collisions at√

sNN=5.02 TeV,combinedwiththepreviouslyanalyzedRun1 datafrompp collisions at√

s=7 TeV [25].The eventandparticle candidateselectioncriteriafollowcloselytheprocedureappliedin theRun1analysis [25].

The events are triggered using two V0 detectors, which are small-angle plasticscintillator arraysplacedon eitherside ofthe collisionvertexatpseudorapidities2.8<

η

<5.1 and−3.7<

η

<

1.7 [27]. Minimum bias pp and p–Pb events are triggered by the requirement of coincidentsignals in both V0detectors, syn- chronouswiththe beamcrossingtime definedby the LHCclock.

The V0 detector is also used to reject background events stem- ming fromthe interaction ofbeamparticles withthe beampipe materialsorbeam-gasinteractions.Pile-upeventswithmorethan one collision per bunch crossing are rejected by evaluating the presenceofsecondaryeventvertices[27].Chargedparticlesarere- constructedbytheInner TrackingSystem(ITS) [26] andtheTime ProjectionChamber(TPC) [28],bothimmersedina0.5 Tsolenoidal magnetic field directed along the beam axis.A uniform detector coverage is assured by requiring the maximal deviation between thereconstructedprimaryvertex(PV)andthenominalinteraction pointtobesmallerthan10 cm.ThePVcanbereconstructedwith thecombinedinformationof theITSandTPC,andindependently withtheSiliconPixelDetector (SPD- oneof thethreesubdetec- torsoftheITS).Ifbothmethodsareavailable,thedifferenceofthe z-coordinatebetweenbothverticesisrequiredtobesmallerthan 5 mm.Afterapplyingtheseselection criteriatheremaining num- ber ofeventsis 1.109 forthe pp at

s=13 TeVsample and 6.108 forp–Pb at

sNN=5.02 TeV.Thiscorrespondstoabout 90%and84%ofallprocessedeventsinpp andp–Pb.

Theinteractionisthemainfocusofthepresentstudy.As willbeexplainedinthenext section,thep–pcorrelationfunction isan essential inputforthe femtoscopicanalysisof.There- fore, the reconstruction of both protons and particles will be described in the following paragraphs. To increase the statistical

significance ofthe result, the anti-particle pairs are measured as well.

The selection of the proton candidates follows the analysis strategy used forthe pp collisions at√

s=7 TeV [25]. The parti- cle identification(PID) is determined by thenumber of standard deviationsn

σ

betweenthehypothesisforaprotonandtheexper- imentalmeasurementofthespecificenergylossdE/dxintheTPC orthe timing informationfromtheTime-Of-Flight (TOF)detector [29]. Theanalyzedtracks areselectedwithin thekinematicrange 0.5<pT<4.05 GeV/c and |

η

|<0.8. The PID is performedonly withtheTPCfortrackswithp<0.75 GeV/c,byrequiring|n

σ

|<3.

Tomaintain thepurityoftrackswith p>0.75 GeV/c,the|n

σ

|is calculatedfromcombiningtheTPCandTOFinformation.Thecon- tributionofsecondaryparticles,whichstemfromelectromagnetic andweakdecaysorthedetectormaterial,areacontamination in thesignal.Thefractionsofprimary andsecondaryprotonsareex- tracted using Monte Carlo (MC) template fits to the distance of closest approachoftheparticlesto thePV [30].TheMC distribu- tions are generated usingPythia8.2 [31] forthe pp andDPMJET 3.0.5 [32] for the p–Pb case, filteredthrough the ALICEdetector andreconstructionalgorithm[26].Theprotonpurityinpp (p–Pb) isfoundtobe99(97)%withaprimaryfractionof85(86)%.

The particles are reconstructed via the decay →p

π

, which hasabranching ratioof63.9%andc

τ

=7.89 cm [33].For the reconstruction of the the charge conjugate decay is em- ployed. The interaction rate of the LHC varied during different periods of the pp running. Tomaintain a constant purity that is independent of the interaction rate, in addition to the selection criteria usedfor the analysisof pp collisions at√

s=7 TeV [25], the charged decay tracks must either have a hit in one of the SPD or Silicon Strip Detector (SSD- ITS subdetector) layers or a matched TOF signal. After applyingall selection criteria thefinal andcandidatesareselectedina4 MeV/c2(∼3

σ

)masswin- dow aroundthenominalmass [33].Thefractions ofprimaryand secondaryparticlesareextractedsimilarlyastheprotons,while the observable for thetemplate fits is the cosine ofthe opening angle

α

betweenthemomentumandthevector pointingfrom thePVtothedecayvertex. Thepurityinpp (p–Pb)isfound tobe97(94)%withaprimaryfractionof59(50)%.Theexactcom- position ofsecondaries, aswell as the to 0 ratio,is fixed in the MC simulations, but is modeldependent. Therefore, the sys- tematicuncertaintiesincludea20% variationoftheratiosofthese contributions.

3. Analysisofthecorrelationfunction

The methodusedto investigatetheinteraction relieson particle pair correlations measured as a function of k∗, defined asthe single-particlemomentum inthepairrestframe [23]. The observableofinterestC(p1,p2)isdefinedastheratiooftheprob- ability of measuring simultaneously two particles with momenta

p1 andp2,totheproductofthesingle-particleprobabilities:

C

(

p

1

,

p

2

) =

P

(

p

1

,

p

2

)

P

(

p

1

)

P

(

p

2

) .

(1)

In the absence of correlations, the numerator factorizes and the correlationfunctionbecomesunity.Thefemtoscopyformalism [23]

relates the correlation function for a pair of particles, to their effective two-particleemitting source function S(r) andthe two- particlewavefunction(k,r):

C

(

k

) =

S

(

r

) | (

k

,

r

) |

2d3r

−−−−→

k→∞ 1

,

(2)

(3)

Table 1

Theweightparameters(Eq. (4))λppi andλpiPboftheindividualcomponentsofthep–p,p–,p–andcorrelationfunctions.Thesub-indexesareusedtoindicate themotherparticleincaseoffeed-down.Onlythenon-flatfeed-down(residual)contributionsarelistedindividually,whileallothercontributionsarelistedas“flatresiduals (res.)”.Allmisidentified(fake)pairsareassumedtobeuncorrelated,thusresultinginaflatcorrelationsignal.

p–p p– p–

Pair λppi

(%)

λpiPb (%)

Pair λppi

(%)

λpiPb (%)

Pair λppi

(%)

λpiPb (%)

Pair λppi

(%)

λpiPb (%)

pp 74.8 72.8 p 50.3 41.5 p 55.5 50.8 33.8 23.9

pp 15.1 16.1 p 0 16.8 13.8 p(1530) 8.8 8.1

p 8.3 12.1

flat res. 8.1 8.0 flat res. 20.4 24.9 flat res. 30.3 28.3 flat res. 59.8 64.0

fakes 2.0 3.1 fakes 4.2 7.7 fakes 5.4 12.8 fakes 6.4 12.1

whereristherelativedistancebetweenthepointsofemissionof thetwoparticles.ThisdefinitionofC(k) assumesthat theemis- sion source is not dependent on k, it is spherically symmetric andtheemissionofallparticles issimultaneous.TheEPOStrans- port model [34] predicts an emission source that does not fully satisfy the above assumptions. However, it was verified that the abovesimplificationsresultinverymilddeviationsinthecorrela- tionfunctions,whicharenegligibleforthepresentanalysis.

Forasphericalsymmetricpotentialtheangulardependenceof thewave-functionistriviallyintegratedout.Thus thedirectionof k becomes irrelevant on the left-hand side of Eq. (2). Particles withlarge relative momentaq=2k are not correlated, leading toC(k→ ∞)=1.

The stronginteraction has a typical range ofa few femtome- tersandthusasignificantmodificationofthewavefunctionwith respecttoits asymptoticformisexpectedonlyforr2 fm.Con- sequently,forsmallemissionsources thecorrelationfunctionwill be particularly sensitive to the strong interaction potential. Ex- perimentally, a small emission source can be formed in pp and p–Pb collisions[25,35].Inthecurrentanalysis, itisassumedthat theemission profile isGaussian andthat the p–p andsys- temsarecharacterizedbyacommonsourcesizer0=rp–p=r, which is determined by fitting the p–p correlation function and thenusedfortheinvestigationoftheinteraction.Inpp colli- sionstheeffectofmini-jetsisonlypresentforbaryoncorrelations betweenparticleandanti-particle[25],hencetheinvestigateddata provideacleanenvironmenttoextractthefemtoscopicsignal.

Twodifferentframeworksareavailable forthe computationof C(k).Thefirsttoolusedinthisanalysisisthe“CorrelationAnaly- sisToolusingtheSchrödingerequation”(CATS)[35].Here,alocal potentialV(r)isusedastheinputtoanumericalevaluationofthe wave function and the corresponding correlation function. CATS deliversan exactsolutionandthistool isusedto modelthep–p correlation using a Coulomb and an Argonne v18 potential [36]

forthe strong interaction.The known p–p interaction allows the sourcesizer0 tobeextractedfromthefittothemeasured corre- lationfunction.

Thesecond tool is theLednický model[37], which assumesa Gaussianemission sourceandevaluates thewave function inthe effective-rangeexpansion. In thisapproach,the interactionis pa- rameterizedintermsofthescatteringlength f0 andtheeffective ranged0. This approach produces a very accurate approximation forC(k) in cased0r0, while for smallervalues of r0 the ap- proximatesolutionmaybecomeunstable,inparticularfornegative valuesof f0 [25]. However, it isknown that the Lednickýmodel can be used to model the p– correlation function even for a sourcesizeofr0=1.2 fm,withadeviationfromtheexactsolution oflessthan 4% [35].It istherefore expectedthat thismodelcan successfullybeused tostudytheinteraction, eveninsmall collision systems.Nevertheless, thevalidity of the approximation willbefurtherverifiedinthenextsection.

Experimentally,thecorrelationfunctionisdefinedas Cexp

(

k

) =

N Nsame

(

k

)

Nmixed

(

k

)

k→∞

−−−−→

1

,

(3) where Nsame(k) and Nmixed(k) are the same and mixed event distributions,while N isa normalizationconstant determinedby the condition that particlepairs withlarge relative momentaare notcorrelated.InsmallcollisionsystemsCexp(k)oftenhasalong- rangetaildue tomomentum conservation,andarelatedapprox- imately linear non-femtoscopic background extending to low k [25]. The latter isincorporated by includinga linear termin the fitfunction.

Toincrease thestatisticalsignificance ofCexp(k)the particle- particle (PP) and antiparticle-antiparticle (PP) correlations are combinedusingtheir weighted meanCexp(k)=NPPCexp,PP(k)NPPCexp,PP(k), with the normalization performed in the range 240<k<340 MeV/c,whichisunaffectedbyfemtoscopiccorre- lations.ItwasverifiedthatNPPCexp,PP(k)=NPPCexp,PP(k)within thestatisticaluncertainties.

The systematic uncertainties of the experimental correlation functionareevaluatedbyvaryingtheselectioncriteriaofthepro- ton and candidates within 20%, following the procedure used fortheanalysisofthepp collisionsat√

s=7 TeV [25].Neverthe- less,byperformingaBarlowtest [38],thesystematicuncertainties were found to be insignificant compared to thestatistical uncer- tainties.

Momentum resolution effects modify the correlation function byatmost10% andareaccountedforbycorrectingthetheoretical correlation function [25]. The measured experimental correlation functioncontainsnotonlythecorrelationsignalofinterest,butad- ditionallyaccumulatesresidualcontributionsfromfeed-downpar- ticles. These are considered in the theoretical description of the correlationby usingthelineardecompositionofthetotalcorrela- tionfunctioninto

Ctot

(

k

) =

i

λ

iCi

(

k

),

(4)

wherethe sumrunsover all contributions, theλ parameters are theweight factorsforthedifferentcontributionstothe totalcor- relation and i =0 corresponds to the primary correlation. The λ coefficients are determined in a data-driven approach by per- forming Monte Carlo template fits to the data, using Pythia and DPMJET in pp and p–Pb collisions, respectively. The values ob- tainedaresummarizedinTable1.Thesystematicuncertaintiesare determined from the variation of the composition of secondary contributions, and the to 0 ratio. The individual contribu- tionsCi(k)aremodeledeitherusingCATSortheLednickýmodel.

Thenon-genuine(i =0)contributionsincludeadditionalkinematic effects which lead to a smearing of their corresponding correla- tion functions [39]. As thecorrelation strength oftheseresiduals is strongly damped one can assume that Ci =0(k)1 [40]. The

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Fig. 1.Resultsforthefitofthepp dataat

s=13 TeV.Thep–pcorrelationfunction(leftpanel)isfittedwithCATS(blueline)andthecorrelationfunction(right panel)isfittedwiththeLednickýmodel(yellowline).ThedashedlinerepresentsthelinearbaselinefromEq.(5),whilethedarkdashed-dottedlineontopofthedata showstheexpectedcorrelationbasedonquantumstatisticsalone,incaseofastronginteractionpotentialcompatiblewithzero.

onlysignificant contribution is p–p–p, where thep–inter- actionismodeledusingthescatteringparametersfromanext-to- leading order(NLO)

χ

EFT calculation [41] and thecorresponding correlation function is computed using the Lednický model. The remaining residuals are considered flat,apart from p–p–, p– 0p–andp–(1530)p–,wheretheinteractioncan bemodeled.Forthep– interactionarecentlatticeQCDpoten- tial,fromtheHALQCDcollaboration [42,43],isused.Thep– 0 is modeledasin [44],whilep–(1530)isevaluatedbytakingonly theCoulombinteractionintoaccount.

Afterall correctionshavebeenappliedtoCtot(k),thefinal fit functionis obtainedbymultiplying itwitha linearbaseline (a+ bk)describingthenormalizationandnon-femtoscopybackground [25]

Cfit

(

k

) = (

a

+

bk

)

Ctot

(

k

).

(5) Fig. 1 shows an example of the p–p and correlation func- tions measured in pp collisions at √

s=13 TeV, together with the fit functions. The p–p experimental data show a flat behav- ior intherange200<k<400 MeV/c,thusbydefaulttheslope of the baseline is assumed to be zero (b=0) and the corre- lation is fitted in the range k<375 MeV/c. The resulting r0 values are 1.182±0.008(stat)+00..005002(syst) fm in pp collisions at

s=13 TeVand1.427±0.007(stat)+00..001014(syst) fminp–Pb colli- sionsat√

sNN=5.02 TeV.Inpp collisionsat√

s=7 TeVthesource sizeisr0=1.125±0.018(stat)+00..058035(syst) fm [25].

Thesystematicuncertaintiesoftheradiusr0 areevaluatedfol- lowingtheprescriptionestablished during theanalysisofpp col- lisionsat√

s=7 TeV [25].Theupperlimitofthefitrangeforthe p–ppairsisvaried withink∈ {350,375,400}MeV/c andthein- puttotheλparametersismodified by20%,keepingprimary and secondaryfractionsconstant.

Two further systematic variations are performed for the p–p correlation. The first concerns the possible effect of non-femto- scopy contributions to the correlation functions, which can be modeled by a linear baseline (see Eq. (5)) with the inclusion of basafreefitparameter.Thefinalsystematicvariationistomodel thep–feed-downcontributionbyusingaleading-order(LO)[41, 45] computationtomodeltheinteraction.The effectofthelatter isnegligible,asthetransformationtothe p–psystemsmearsthe differencesobservedinthepurep–correlationfunctionout.

Toinvestigatetheinteractionthesourcesizesarefixedto the above results and the correlations from all three data sets are fitted simultaneously in order to extract the scattering

parameters. The correlation functions show a slight non-flat be- havior atlarge k,especiallyforthe pp collisionsat√

s=13 TeV (rightpanelinFig.1).Thusthefitisperformedbyallowinganon- zeroslope parameterb (see Eq. (5)).The fitrangeisextended to k<460 MeV/c in order to better constrain the linear baseline.

Duetothesmallprimaryλparameters(seeTable1)thecor- relationsignalisquiteweak andthefitshowsa slightsystematic enhancement comparedto theexpected Ctot(k)dueto quantum statisticsonly,suggestiveofanattractiveinteraction.However,the current statisticaluncertainties donot allow the scattering parameters to be extractedfromthe fit.Therefore, an alternative approach to study the interaction will be presented in the nextsection.Systematicuncertaintiesrelatedtotheemission sourcemayarisefromseveraldifferenteffects,whicharediscussed intherestofthissection.

Previousstudieshaverevealedthattheemissionsourcecanbe elongated along some of the spatial directions andhave a mul- tiplicity or mT dependence [46,47]. In the present analysis it is assumed that the correlation function can be modeled by an ef- fective Gaussian source.The validity ofthis statement is verified by a simple toy MonteCarlo, inwhich a data-drivenmultiplicity dependenceisintroducedintothesourcefunctionandtheresult- ing theoreticalp–pcorrelation functioncomputedwithCATS. The deviationsbetweenthisresultandacorrelationfunctionobtained withaneffectiveGaussiansourceprofilearenegligible.

Possibledifferencesintheeffectiveemittingsourcesofp–pand pairs duetothestrong decaysofbroadresonances andmT scaling are evaluated via simulations and estimated to have at mosta5% effectontheeffectivesourcesizer0.Thisistakeninto account by includingan additional systematicuncertaintyon the r valueextractedfromthefittothep–pcorrelation.

4. Results

Inordertoextractthescatteringparameters,thecorrela- tionfunctionsmeasuredinpp collisionsat√

s=7,13 TeVaswell asinp–Pb collisionsat√

sNN=5.02 TeVarefittedsimultaneously.

The rightpanel inFig.1showsthecorrelationfunctionob- tained in pp collisions at √

s=13 TeV together with the result fromthefit.

Since the uncertainties of thescattering parameters are large, differentmodelpredictionsaretestedonthebasis oftheir agree- mentwiththemeasuredcorrelationfunctions.

One optionis to usea localpotential and obtain C(k) based ontheexactsolutionfromCATS, withthesourcesizefixedtothe value obtainedfromthe fit to the p–p correlations. Manyof the

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Fig. 2.correlationsmeasuredinpp collisionsat

s=13 TeV(leftpanel)andp–Pb collisionsats

NN=5.02 TeV(rightpanel)togetherwiththefunctionscomputed bythedifferentmodels [20].ThetestedpotentialsareconvertedtocorrelationfunctionsusingCATSandthebaselineisrefittedforeachmodel.Theeffectsofmomentum resolutionandresidualsareincludedinthetheorycurves.

existingmodelpredictionsaresummarizedin [20] andthecorre- spondingpotentials V(r)are parametrizedinalocalformusinga double-Gaussianfunction.Thecorrelationfunctiondependsonthe natureof the underlyinginteraction and Fig.2 showsthe exper- imental correlations measured in pp collisions at √

s=13 TeV (left panel) and p–Pb collisions at √

sNN=5.02 TeV (right panel)togetherwiththecorrelation functionsobtainedfordiffer- entmeson-exchangeinteraction potentialsemployingCATS. Mod- els with a strongly attractive interaction (f011 and positive), liketheEhime[17] potential,resultinalargeenhancementofthe correlation function at low momenta which overshoots the data significantlybothinpp andp–Pb collisions.The sameisvalidfor potentialscorresponding to ashallow boundstate (f010 and negative),e.g.NF44[19].

Theother testedpotentialscorrespond eithertoabound state orashallowattractive(f011)non-bindinginteraction.However, thosetwoverydifferentscenariosresultinsimilarcorrelationsand are difficult to separate. This isevident fromFig. 2 asall of the ESC08[48],HKMYY[22] andNijmegenND46[18] modelsproduce comparableresultsandarecompatiblewiththeexperimentaldata, eventhoughtheirscatteringparametersaredifferent.Inparticular, ND46predictsaboundstate,whiletheESC08andHKMYYmodels describeashallowattractivepotential andthelatterisconsistent withhypernucleidata[7,8].

TheLednickýmodelcanbeusedtocomputeC(k)forany f01 andd0. Thus a scan over the scatteringparameters can be pre- formedandtheagreementtotheexperimentaldatacanbequan- tified.The Lednický model breaks down for source sizes smaller than the effective range, especially when dealing with repulsive interactions [25], as it produces unphysical negative correlation functions.As thereare norealistic models predicting such anin- teraction, thisstudy is not affected. Nevertheless,all models de- scribedin [20] are explicitlytested by comparingthe correlation functionsobtainedusingtheexactsolutionprovidedbyCATSwith theapproximatesolutionevaluatedusingtheLednickýmodel.The deviationsareonthepercentlevelandareneglected.

Anotherassumption,whichtheLednickýmodelisbasedon,is a Gaussian profile of the source. The EPOS [34] transportmodel predicts a non-Gaussian emission profile [35], andthe effects of short livedresonances are included. This source was adopted in CATS,by tuningitswidthsuch astodescribethep–p correlation function,andthepredictedC(k)foralloftheNDandNFmodels, showninFig.3,were comparedto thecorrelation function inpp collisionsat√

s=13 TeV.Thedeviationsin

χ

2comparedto thecaseofaGaussiansourcearewithintheuncertainty,justifying theuseofaGaussiansource.

Fig. 3.Exclusionplotforthescatteringparametersobtainedusingthe correlationsfrom pp collisionsat

s=7 and13 TeVaswellasp–Pb collisions at

sNN=5.02 TeV.Thedifferentcolorsrepresenttheconfidencelevelofexclud- ingasetofparameters,giveninnσ.TheblackhashedregioniswheretheLednický modelproducesanunphysicalcorrelation.Thetwomodelsdenotedbycoloredstars arecompatiblewithhypernucleidata,whiletheredcrosscorrespondstothepre- liminaryresultofthelatticecomputationperformedbytheHALQCDcollaboration.

Fordetailsregardingthe regionat slightlynegative f01 andd0<4,compatible withaboundstate,refertoFig.4.

Toquantifythe uncertainties of f01 andd0,andestimate the confidence levelof each parameterset, a MonteCarlomethod is used. In the currentwork the approach described in [49] is fol- lowed,whichiscloselyrelatedtotheBootstrapmethod.Thestrat- egy istouse theLednickýmodelto performa scan overthepa- rameterspacespannedby f01∈ [−2,5] fm1 andd0∈ [0,18] fm andrefitthecorrelationusingEq. (5) whenfixing thescat- teringparameterstoaspecificvalue(f01,d0)i.Thecorresponding

χ

i2 is evaluatedby takingall datasets(pp at √

s=7 and13 TeV andp–Pb at√

sNN=5.02 TeV)intoaccount.Thedifferentscatter- ingparameterscanbecomparedbyfindingthelowest(best)

χ

best2

andevaluating

χ

i2=

χ

i2

χ

best2 foreachparameterset.Thisob- servable, andthe associated (f01,d0)i, can be directly linked to the confidencelevel [49]. This can be achievedeither by assum- ing normallydistributed uncertainties of (f01,d0), orinvokinga moresophisticatedMonteCarlostudy,liketheBootstrapmethod.

Thelatterisusedinthecurrentanalysis.

The resulting exclusion plot ispresented in Fig. 3, where the color code corresponds to the confidencelevel n

σ

for a specific choice ofscatteringparameters.In thecomputation onlythe sta- tisticaluncertaintiesaretakenintoaccount,asthesystematicun- certainties are negligible according to the Barlow criterion [38].

Thepredictedscatteringparameters ofalldiscussedpotentialsare

(6)

Fig. 4.Theregionofthe1σconfidencelevelfromFig.3,displayedinthe(B,d0) plane.The inner (dark) regioncorresponds tothe statisticaluncertainty ofthe method,whiletheouter(light)regionincludesthesystematicvariations.Thered starcorrespondstotheparameterswiththelowestχ2.

highlightedwithdifferentmarkers andthe phasespaceregionin which the Lednický model produces an unphysical correlation is specified by the black hatched area. In this region the effective rangeexpansionbreaks downandtheLednickýequation leadsto a negative correlation function. While theSTAR result [24] is lo- catedinthisregion,all theoreticalmodels excludethepossibility of a repulsive interaction withlarge effective range.More- overare-analysisoftheSTARdata [20] demonstratedthatamore realistic treatment of the residual correlations leads to an inver- sion of the signof the scattering length, that corresponds to an attractivepotential. Theimposed limiton thescatteringlengthis f01>0.8 fm1 [20]. This result can be tested within the cur- rent work, and Fig. 3 demonstrates that the ALICE data can ex- tendthoseconstraints.Inparticulartheregioncorrespondingtoa strongly attractive or a very weakly binding short-range interac- tion (small |f01| andsmalld0) isexcluded by the data, whilea shallowattractivepotential (large f01)isinverygoodagreement withtheexperimentalresultsobtainedfromthisanalysis.A boundstate wouldcorrespond tonegative f01 andsmalld0 val- ues.Thepresentdataarecompatiblewithsuchascenario,butthe availablephasespaceisstronglyconstrained.TheHKMYY[22],FG [21] andHALQCD[50] valuesareofparticularinterest,asthefirst two models are tuned to describe the modern hypernuclei data, while the latter is the latest state-of-the-art lattice computation fromtheHALQCDcollaboration.Thelatticeresultsarepreliminary andpredictthescatteringparameters f01=1.45±0.25 fm1 and d0=5.16±0.82 fm[50].Allthreemodelsarecompatiblewiththe ALICEdata,providingfurthersupportforashallowattractive interactionpotential.

Apossibleboundstateisinvestigatedwithintheeffective-range expansion by computing the corresponding binding energy from therelation[51,52]

B

=

1 md20

1

1

+

2d0f01

2

.

(6)

Thisrelationisonlyvalidforboundstates,whicharecharacterized bynegative f01values.Further,thebindingenergyhastobeareal number,thustheexpression1+2d0f01 hastobepositive,which impliesthat at leastone of the parameters f01 ord0 hasto be smallinabsolutevalue.WiththeserestrictionsEq. (6) transforms the observables in the exclusion plot (Fig. 3) from (f01,d0) to (B,d0),considering only theparameter spacecompatiblewith aboundstate.ThisisdoneinFig.4,whereonlythe1

σ

confidence regionisshown,asitcorresponds totheuncertaintyof B.The darkregionmarksthestatisticaluncertaintyofthefit.Theallowed

binding energy, independent of d0, is B=3.2+12..64(stat) MeV, where the central value corresponds to the lowest

χ

2 and the uncertainties aredetermined basedonthelowest andhighestal- lowed B valueswithinthe 1

σ

confidenceregion. Howeverthe systematicuncertainties relatedto thesource sizes arenot taken into account, neither any possible biases related to the fit pro- cedure. Thus thecomputation ofthe exclusionplots (Figs. 3and 4) was repeated121 times,wherein eachre-iteration thesource sizes relatedtothedatasets arevariedwithin theassociatedun- certainties, the fit ranges within k∈ {420,460,500} MeV/c and the bin widths of the experimental correlations are chosen as 12, 16 and 20 MeV/c. The resulting fluctuationsof the 1

σ

con- fidence region are marked in Fig. 4by the light region and rep- resent thetotal uncertainty. Assuming the latteris the quadratic sumofthestatisticalandsystematicuncertainty,thefinalresultis B=3.2+12..64(stat)+11..80(syst) MeV.

5. Summary

In this Letter, new data on p–p and correlations in pp collisions at√

s=13 TeV andp–Pb collisionsat√

sNN=5.02 TeV are presented.Together withthe resultsfroma pioneeringstudy ontwo-baryoncorrelationsinpp at√

s=7 TeV,thesedataallow for a detailed studyof the interaction with unprecedented precision.

Eachdatasetisanalyzedseparatelyby extractingthep–pand correlation functions. The formerare used to constrain the size of the source r0, which is assumedto be the same for p–p andpairs.Theinteractionistheninvestigatedby test- ing thecombinedcompatibilityofalldatasetstodifferentmodel predictionsandscatteringparameters.TheHKMYYandFGmodels, which are tuned to hypernuclei data,and thelattice calculations performed by the HAL QCD collaboration predict a shallow at- tractive interaction potential. The ALICE data manifest very good agreement with these predictions. Nevertheless, the data is also compatible with the existence of a bound state, givena binding energyofB=3.2+12..64(stat)+11..80(syst) MeV.TheRun3oftheLHC is expected to further increase the statistical significance of the correlation function andallow the scatteringparameters to beconstraintevenmorepreciselyinthefuture.

Acknowledgements

TheALICEcollaborationisgratefultotheHALQCDcollaboration forprovidinglatticeresultsregardingtheinteraction.Weare particularlythankfultoProf.TetsuoHatsudaandProf.KenjiSasaki fortheprecioussuggestionsandstimulatingdiscussions.

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- ningtheALICEdetector:A.I.AlikhanyanNationalScienceLabora- tory(YerevanPhysicsInstitute)Foundation (ANSL),State Commit- teeofScienceandWorldFederationofScientists(WFS),Armenia;

Austrian Academy of Sciences, Austrian Science Fund (FWF): [M 2467-N36] and Nationalstiftung für Forschung, Technologie und Entwicklung,Austria;MinistryofCommunicationsandHighTech- nologies, National Nuclear Research Center, Azerbaijan; Conselho NacionaldeDesenvolvimentoCientíficoeTecnológico(CNPq),Uni- versidade Federaldo RioGrandedo Sul(UFRGS),Financiadorade EstudoseProjetos(Finep)andFundaçãodeAmparoàPesquisado

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