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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 presentsnewconstraintsontheexistenceandthebindingenergyofapossible–bound 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.The–scatteringparameterspace,spannedbytheinversescatteringlength f0−1 and the effectiveranged0,isconstrained by comparingthe measured–correlation function withcalculationsobtainedwithintheLednickýmodel.Thedataarecompatiblewithhypernucleiresults and latticecomputations,bothpredictingashallow attractiveinteraction,and permittotest different theoreticalapproaches describingthe–interaction.Theregioninthe(f0−1,d0) planewhichwould accommodatea–boundstateissubstantiallyrestrictedcomparedtopreviousstudies.Thebinding energyofthepossible–boundstateisestimatedwithinaneffective-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].
Thecharacterizationofthe–interactionisstillanopenis- 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 (e−e+) 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] repulsivecoreforthe–inter- 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 fm−1< f0−1<4 fm−1 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(f0−1=1.3 fm−1;d0= 6.59 fm) [21] and theHKMYY (f0−1= 1.74 fm−1;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.
hadroncollisionsviathefemtoscopytechnique[23].TheSTARcol- laboration reported a – scatteringlength and effective range of f0−1= −0.91±0.31+−00..0756 fm−1 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 1.0×109 forthe pp at √
s=13 TeVsample and 6.1×108 forp–Pb at√
sNN=5.02 TeV.Thiscorrespondstoabout 90%and84%ofallprocessedeventsinpp andp–Pb.
The–interactionisthemainfocusofthepresentstudy.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|nσ
|<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%andcτ
=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 angleα
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 investigatethe–interaction 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
(
p1,
p2) =
P(
p1,
p2)
P
(
p1)
P(
p2) .
(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)Table 1
Theweightparameters(Eq. (4))λppi andλpi–Pboftheindividualcomponentsofthep–p,p–,p–−and–correlationfunctions.Thesub-indexesareusedtoindicate themotherparticleincaseoffeed-down.Onlythenon-flatfeed-down(residual)contributionsarelistedindividually,whileallothercontributionsarelistedas“flatresiduals (res.)”.Allmisidentified(fake)pairsareassumedtobeuncorrelated,thusresultinginaflatcorrelationsignal.
p–p p– p–− –
Pair λppi
(%)
λpi–Pb (%)
Pair λppi
(%)
λpi–Pb (%)
Pair λppi
(%)
λpi–Pb (%)
Pair λppi
(%)
λpi–Pb (%)
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 and–sys- temsarecharacterizedbyacommonsourcesizer0=rp–p=r–, which is determined by fitting the p–p correlation function and thenusedfortheinvestigationofthe–interaction.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 tostudythe–interaction, 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
Fig. 1.Resultsforthefitofthepp dataat√
s=13 TeV.Thep–pcorrelationfunction(leftpanel)isfittedwithCATS(blueline)andthe–correlationfunction(right panel)isfittedwiththeLednickýmodel(yellowline).ThedashedlinerepresentsthelinearbaselinefromEq.(5),whilethedarkdashed-dottedlineontopofthe–data 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– 0→p–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.
Toinvestigatethe–interactionthesourcesizesarefixedto 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)the–cor- 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.Systematicuncertaintiesrelatedtothe–emission 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
Inordertoextractthe–scatteringparameters,thecorrela- tionfunctionsmeasuredinpp collisionsat√
s=7,13 TeVaswell asinp–Pb collisionsat√
sNN=5.02 TeVarefittedsimultaneously.
The rightpanel inFig.1showsthe–correlationfunctionob- 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
Fig. 2.–correlationsmeasuredinpp collisionsat√
s=13 TeV(leftpanel)andp–Pb collisionsat√s
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 (f0−11 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 (f0−1→0 and negative),e.g.NF44[19].
Theother testedpotentialscorrespond eithertoabound state orashallowattractive(f0−11)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 f0−1 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 the–correlation function inpp collisionsat√
s=13 TeV.Thedeviationsin
χ
2comparedto thecaseofaGaussiansourcearewithintheuncertainty,justifying theuseofaGaussiansource.Fig. 3.Exclusionplotforthe–scatteringparametersobtainedusingthe– 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 f0−1 andd0<4,compatible withaboundstate,refertoFig.4.
Toquantifythe uncertainties of f0−1 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 f0−1∈ [−2,5] fm−1 andd0∈ [0,18] fm andrefitthe–correlationusingEq. (5) whenfixing thescat- teringparameterstoaspecificvalue(f0−1,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
best2andevaluating
χ
i2=χ
i2−χ
best2 foreachparameterset.Thisob- servable, andthe associated (f0−1,d0)i, can be directly linked to the confidencelevel [49]. This can be achievedeither by assum- ing normallydistributed uncertainties of (f0−1,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
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 f0−1>0.8 fm−1 [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 |f0−1| andsmalld0) isexcluded by the data, whilea shallowattractivepotential (large f0−1)isinverygoodagreement withtheexperimentalresultsobtainedfromthisanalysis.A– boundstate wouldcorrespond tonegative f0−1 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 f0−1=1.45±0.25 fm−1 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
+
2d0f0−1 2.
(6)Thisrelationisonlyvalidforboundstates,whicharecharacterized bynegative f0−1values.Further,thebindingenergyhastobeareal number,thustheexpression1+2d0f0−1 hastobepositive,which impliesthat at leastone of the parameters f0−1 ord0 hasto be smallinabsolutevalue.WiththeserestrictionsEq. (6) transforms the observables in the exclusion plot (Fig. 3) from (f0−1,d0) to (B,d0),considering only theparameter spacecompatiblewith aboundstate.ThisisdoneinFig.4,whereonlythe1
σ
confidence regionisshown,asitcorresponds totheuncertaintyof B.The darkregionmarksthestatisticaluncertaintyofthefit.Theallowedbinding 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 1σ
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 1σ
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 and–pairs.The–interactionistheninvestigatedby 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 forprovidinglatticeresultsregardingthe–interaction.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