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The clustering of galaxies around three damped Ly-alpha absorbers at Redshift Three

来源:意榕旅游网
AcceptedforpublicationinApJ,issue10July2004

APreprinttypesetusingLTEXstyleemulateapj

THECLUSTERINGOFGALAXIESAROUNDTHREEZ∼3DAMPEDLY-ALPHA

ABSORBERS

NicolasBouch´e

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Dept.ofAstronomy,UniversityofMassachusetts-Amherst,Amherst,MA01003USAMaxPlanckInstitutf¨urAstrophysik,Karl-Schwarzschild-Str1,D-85748Garching,GermanyEuropeanSouthernObservatory,Karl-Schwarzschild-Str2,D-85748Garching;nbouche@eso.org

arXiv:astro-ph/0403544v2 28 Jun 2004JamesD.Lowenthal

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FiveCollegeAstronomyDept.,SmithCollege,Northampton,MA01063USA;james@earth.ast.smith.edu

AcceptedforpublicationinApJ,issue10July2004

ABSTRACT

Wepresentoutresultsonthecross-correlationofLymanbreakgalaxies(LBGs)aroundthreedampedLyαabsorbers(DLAs)atzabs≃3fromdeep(µI,AB(sky)≃27.6magarcsec−2)UBVIKPNO4m/MOSAICimages.ThelargeareaoftheMOSAICimages,0.31deg2or

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∼65×65h−71Mpcco-movingatredshiftz=3,allowsustoprobetheclusteringofLBGsonscalesupto20Mpcco-moving.Oursurveycoversatotalof1deg2andcontains∼3,000LBGswithphotometricredshiftsbetween2.8and3.5.UsingtheredshiftlikelihooddistributionswithmIasaprior,weselectedLBGswithinaredshiftsliceofwidthWz=0.15(correspondingtoσz,theuncertaintyinphotometricredshifts)centeredontheredshiftoftheabsorbers.Withinthatredshiftslice,wefindthattheDLA-LBGcross-correlationwdgiswdg=(1.62±1.32)×wgg,wherewggistheLBGauto-correlation.Thiscorrespondstoacorrelationlengthofro=5±4.5h−1

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(co-moving)(orro=7±6.8h−71Mpc).Thecross-correlationismostsignificantonscales5−10Mpc.ThroughMonteCarlosimulations,wefindthatwdgissignificantlygreaterthanzeroatthe>95%level.InthreeotherredshiftslicesthatdonotcontainaDLA,wedonotfindanyevidenceofclustering.Alargersamplewillenableustodiscriminatebetweenwdg/wgg<1orwdg/wgg>1,i.etotestwhetherDLAhalosaremoreorlessmassivethanLBGhalos.Subjectheadings:cosmology:observations—galaxies:evolution—galaxies:high-redshift—

quasars:absorptionlines—quasars:individual(APM08279+5255,PC1233+4752,J0124+0044)

1.INTRODUCTION

QSOabsorptionlines,includingdampedLy-αab-sorbers(DLAs),andLymanbreakgalaxies(LBGs)arecurrentlyourtwomajorsourcesofinformationonhighredshiftgalaxies.Aftermorethantwodecadesofstudy,theexactnatureanddetailedcharacteristicsofdampedabsorbersremainunexplained.Here,weseektoconstrainthepropertiesofDLAhalosusingLBGs(Steideletal.,1999)astracersoflargescalestructure.

DLAscontainthelargestreservoirofneutralhydro-gen(Hi)athighredshifts(e.g.Lanzettaetal.,1991;Lanzetta,Wolfe,&Turnshek,1995;Ellisonetal.,2001).TheycontainmoreneutralHithanalltheabsorbersintheLy-alphaforestcombined.Mor-1

ever,theamountofHiinDLAsathighredshiftscorrespondstotheamountofHiinstarstodayatz=0:Ellisonetal.(2001)findΩHI(z=3)=10−2.6,whileBelletal.(2003)measureΩ∗(z=0)=10−2.56(bothnumbersareforh=0.65).ThesefactsledWolfeetal.(1986)toputforwardthe‘diskhypothesis’,namelythatDLAsarelargethickgaseousdiskgalaxies.Despitethenumerousob-servationsdirectedatDLAsinthepastdecade(e.g.imagingstudiessuchasMøller&Warren,1993;Lowenthaletal.,1995;Steideletal.,1994,1995;LeBrunetal.,1997;Bunkeretal.,1999;Fynbo,Møller,&Warren,1999;Kulkarnietal.,2000;Pettinietal.,2000;Rao&Turnshek,2000;Bouch´eetal.,2001;Mølleretal.,2002),thishypoth-esishasbeendebatedandtheroleofDLAsingalaxy

VisitingAstronomer,KittPeakNationalObservatory,NationalOpticalAstronomyObservatory,whichisoperatedbythe

AssociationofUniversitiesforResearchinAstronomy(AURA),Inc.,undercooperativeagreementwiththeNationalScienceFoundation.

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formationisstillnotunderstood(seethemoreex-thisisevidencethatDLAsandLBGs“donotreside

haustivesummaryofPettini,2003).inthesamepartsoftheuniverse”.ItisimportanttoHintstothenatureofDLAsaregivenbynumericalnotethatbothofthesestudieswerenotsensitiveto(Katzetal.,1996;Haehnelt,Steinmetz,&Rauch,scaleslargerthan5h−1Mpcbecausebecauseofthe2000;Gardneretal.,2001;Nagamine,Springel,&Hernquist,smallfieldofviewavailable.2003b)andsemi-analytical(Kauffmann,1996;Otherstudies,however,havepointedtoanover-Mo,Mao,&White,1999;Okoshietal.,2003)sim-densityofgalaxiesnearDLAs.Wolfe(1993)com-ulationsofgalaxyformationathigh-redshifts.binedseveralstudiesofLyαemittersaroundDLAsAll,thesesimulationsindicatethatDLAsareandfoundevidenceforacorrelationbetweenemit-∗inmajorityfaint(sub-L)insmalldarkmat-tersandDLAsatameanredshift

−1terhalosVc≪100kms.Basedoncross-sectionarguments,Fynbo,Møller,&Warren(1999),

Mølleretal.(2002),andSchaye(2001)arrivedtothesameconclusions.Fromthechemi-calevolutionpointofview,(Matteuccietal.,1997;Jimenez,Bowen,&Matteucci,1999;Boissier,P´eroux,&Pettini,2003)arguedthatDLAsarecausedbygasrichlowsurfacebrightnessdwarfgalaxies,asseenlocallyinatleastonecase(Bowen,Tripp,&Jenkins,2001).

However,DLAsshowasymmetricprofilesoftheirhighionizationspecies(Prochaska&Wolfe,1997;Ledouxetal.,1998).ThishasbeenusedtoarguethatDLAsare,infact,duetothickmassiverotatingdisks(Wolfeetal.,1986,1995;Prochaska&Wolfe,1997).Butothers,e.g.Malleretal.(2000),McDonald&Miralda-Escud´e(1999)andHaehnelt,Steinmetz,&Rauch(2000),showedthatalargerangeofmorphologiescanre-producetheobservedkinematics:DLAscanarisefromthecombinedeffectofamassivecentralgalaxyandanumberofsmallersatellitesorfilaments.Infact,coldgasaccretionalongfilamentscouldbeanimportantmechanism,especiallyathighredshifts(Keresetal.,2004).

WhetherornotDLAsareindeedmassivewillleadtodifferentclusteringpropertiesofthegalax-iesaroundthem.Inhierarchicalgalaxyformationmodels(e.g.Mo&White,1996,2002),thisclusteringyieldsameasurementofthedarkmatterhalomassassociatedwithDLAsrelativetothatofthegalaxiesusedastracersofthelargescalestructure.Inpartic-ular,ifthegalaxiesareless(more)correlatedwiththeDLAsthanwiththemselves,thiswillimplythatthehalosofDLAsareless(more)massivethanthoseofthegalaxies.Here,weusez≃3LBGs(Steideletal.,1999)astracersofthelargescalestructure.

Inanalysessimilartothatpresentedhere,Gawiseretal.(2001)foundnoclusteringofgalaxiesaroundonesingleDLAatz=4towardsBR0951-04,andAdelbergeretal.(2003)foundalackofgalaxiesnearfourDLAs(theyfoundtwowithinacylinderofradiusof5.7h−1MpcanddepthWz<0.025whereas∼6wereexpectedifthecross-correlationisthesameasthegalaxyauto-correlation).Theyarguedthat

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onpartofthisdataset.Wedetectedanover-densityofΣ/Σg≃3atthe95%levelonscales2.5Insection2,wepresenttheimagingdatausedhere,ourcompletenesslimitsandpre-selectionofhigh-redshiftgalaxycandidates.Weusedphotometricred-shiftstoselectourz=3LBGcandidatesasdiscussedinsection3.Ourclusteringanalysisisshowninsec-tion4.TheresultsontheDLA-LBGcross-correlationareshowninsection5,anddiscussedinsection6.Section7containsourconclusions.

Throughoutthispaper,weadoptΩM=0.3,ΩΛ=0.7andHo=100hkms−1Mpc−1;thus,atz∼3,1′′correspondsto∼21.5h−1kpcand1′to∼1.29h−1Mpc,bothco-moving.Atthatred-shift,H(z)∼4.46Ho,soδz=0.1correspondsto67h−1Mpcinco-movingcoordinates2.

2.THEDATA

TheobservationswerecarriedoutwiththeMO-SAICcameraattheKittPeakNationalObservatory4-mtelescopeonUT2000February7and8(runI),andonUT2001September23–26(runII).RunIIwasphotometric,somecirruswerepresentduringrunI.Theseeingwas0.9–1′′.5forbothruns.

ThewidefieldimagerMOSAICcontainseight2k×4kthinnedSITeCCD.With0′′.258perpixel,ithasafieldofviewof35′onaside.Thereadoutnoiseis∼6e−pix−1,thedarkcurrentisnegligible(∼5e−hr−1),andtheaveragegainis3e−ADU−1.EachCCDhasbeenthinnedfordetectingU-bandphotons.

Weimagedourthreefieldsthroughfourbroad-bandfilters—U(Stromgren)andBV&I(Harrisset)(seeFig.1)—usingastandardditherpattern(fivepointings)toremovecosmicraysanddetectorde-fects.Thetotalintegrationtimeforeachfieldwastypically4hr(U),1hr(B&V)and4hr(I);theobser-vationsaresummarizedinTable2.Inaddition,weobservedseveralLandolt(1992)standardstarfieldsthrougheachfilter.

2.1.TheDLAfields

Giventheallocatedtelescopenight,weselectedthreefieldsforthepresenceofaDLAatz∼3andwiththeadditionalconstraintthattheQSOmustbeatahigherredshiftthanthatoftheDLA,i.e.zabs<OurresultsontheQSOAPM08279+5255fieldwerepresentedinBouch´e&Lowenthal(2003).TheotherQSOsinoursurveyarePC1233+4752(zem=4.447),withaDLAatzabs=3.499(White,Kinney,&Becker,1993);andSDSSJ0124+0044(zem=3.840),withaDLAatzabs=3.077(C.P´eroux,2003,privatecommunication).TheindividualQSOandDLApropertiesarelistedinTa-ble1.

AlthoughourDLAsdonotmeetthecolumnden-sitythresholdoflogNHi>20.3oftenquoted,thelatterisarbitraryandbasedonresolutionthresh-oldofprevious-generationinstruments.Furthermore,themetallicitiesandtheHipropertiesof‘sub-DLAs’arenotdifferenttothe‘strict-DLA’population(e.gP´erouxetal.,2003).Forthepurposeofthisstudy,thehydrogencolumndensitiesarelogNHi≥20.0,whichensurethattheabsorptionisdampedandthatthegasisneutral.

2.2.Observations

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2.3.Datareduction

ThedatawerereducedwiththepackageMS-CRED(v4.1)withinIRAF3(v2.11.3),followingthereductionsguidelinesoftheNOAODeepWide-FieldSurvey(Jannuzi&Greer,2000).ThispackagewasspecificallydesignedtoreduceMOSAICdata.Thereductionprocesscontainsmorestepsthantypicalopticalobservationsandisdetailedhere.

Wefirstperformedtheoverscanlevelsubtraction.Wethencorrectedforthesmallcorrection(<0.5%)duetocrosstalkbetweenadjacentchips.Foreachnight’sdata,weremovedanaveragedzeroframe,orbiasframes,fromthescienceimages.ThethinnedMOSAICchipsrequirednodarkcorrectionsincethedarkcurrentwasonly5e−1perhour.

Flat-fieldingiscriticaltoachieveprecisephotome-try.However,wehadtodealwithtwonon-traditionalcomplications:(i)theMOSAICinstrumentatthe4-msuffersfromaghostimageofthepupilinallbandsduetoreflectionsintheopticsofthecamerathatneedstoberemoved;and(ii)domeflat-fieldsmaymatchthenightskytoonly1or2%(usuallylarger).Thus,sky-flatfieldinginadditiontodome-flatfieldingwasnecessaryandsincethepupilimageisanadditivelighteffect,ithastoberemovedfromtheflat-fieldsfirst.

Inthedomeflats,weremovedthepupilimagebyfittinganaxiallysymmetricpatterntothedatathem-

UsingthelatestcosmologicalparametersfromWMAP(ΩM=0.268,ΩΛ=0.728,h=0.71)changesthesenumbersby∼3%.IRAFisdistributedbytheNationalOpticalAstronomicalObservatories,whichareoperatedbyAURA,Inc.undercontracttotheNSF

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selveswiththetaskMSCPUPIL.Wethenflat-fieldedallthescienceframeswithpupil-freedome-flats.Atthispoint,thepupilimagewasstillpresentinthedata.Itismoredifficulttoremovethepupilfromindividualscienceimagesthanfromthedome-flatsbecausethepupilpatternismuchfainter,andthepupilimageismixedwithallthefaintandbrightsourcesinthedata.Asimplethresholdschemetoremovetheobjectsisnotfeasiblesincethepupilisstillpresentandthedatapoorlyflat-fielded.Thus,toremovethepupilfromthescienceimagesandtomakethesky-flats,wehadtoextractthepupilimagefromthescienceimagesthemselvesthroughthefol-lowingiterativesteps:(i)wecreatedasky-flat(ver.1)fromtheaverageofthescienceframeswithame-dianrejection;(ii)weextractedthepupilimagefromthesky-flat(ver.1)usingthetaskMSCPUPIL(pa-rameter‘type’setto‘data’)andremoveditfromthescienceframeswithRMPUPILtoproducea‘first-pass’pupil-freedata;(iii)wecreatedanothersky-flat(ver.2)usingthepupil-freedataandappliedittothedata.Wefoundthatlow-levellightfrombrightstarswascreatingsignalinthesky-flatevenifstrongmin-maxrejectionwasused.Tosolvethisproblem,wecreatedobjectmasksbyusinga2σthresholdoneachoftheeightCCDsandmaskedoutlargeareasaroundthebrightestobjects.Steps(i)through(iii)wererepeatedusingthemasksandthefinalsky-flatwasnormalizedandappliedtoalltheframes.FortheI-bandonly,weremovedfringingusingtheprocedurein(Jannuzi&Greer,2000)beforeapplyingthefinalsky-flat.

CosmicrayremovalwasdoneusingthetaskXZAPfromthepackageDIMSUMandcustomizedroutines.Bad-pixelmasksincludingthecosmicraysandbleed-ingregionswereconstructed.

De-projectingthe8CCDsonasingleimageisatwostepprocessandrequiresverygoodastrometry.First,usingthecoordinatesofseveralhundredUSNOstars,weinteractivelyderivedastrometricsolutions(RMS≤0.5′′)withMSCCMATCHforeachditheredexposure.Then,wemappedtheeightCCDsontoasingleimagebyrebinningthepixelstoatangent-planeprojection,thusproducingpixelsof4constantangularsize,withthetaskMSCIMAGE.Thispro-cessmatchestheWorldCoordinateSolution(WCS)solutionofallbandstoacommonreferenceposition.Theindividualflat-fielded,astrometricallycali-bratedimageswithauniformzero-pointwereaver-agedwithanaveragesigma-clippingrejectiontopro-ducethefinalstackedimages.Thescalingofeachin-dividualditheredimagewasperformedinteractivelyon∼300astrometriccalibrationstarscommontoall

images.

FortheI-bandofrunII,wewerenotabletoachieveasatisfactorysky-flatfielding(residuals∼1%).Inor-dertocorrectforthis,weappliedamedianfilteringtoablock-averagedimageofthestackedframeandappliedthenormalizedresultstotheimage.

Eventhoughallbandsweredeprojectedtoatangent-planesolutionusingthesamepositionandorientationonthesky,therelativepixelpositionsofobjectsinthedifferentbandswerenotexactlyiden-ticalbecauseofditheringandeffectssuchasflexureofthetelescope,andopticaldistortionsduetofilters.Sinceitisimportanttohaveidenticalpixelpositionsforthephotometry,wehadtoregisterandrotateslightly(∼0.003deg)eachimagewithrespecttothereferenceband(U)using∼25stellarobjectswithhighS/Ninallbandsthroughoutthefieldofview.Thermsintherelativeastrometryof∼150stellarobjectswith20U<23.5magistypically∼0.4pix2.4.Calibration

Thestandardstarframes,whichcontained∼150Landolt(1992)standardstarsobservedthrougheachfilterandairmasses1.0TotalfluxesofthestandardstarsweremeasuredbyfittingaMoffat(1969)profile(similartothe7′′–aperturefluxusedbyLandolt1992atthe0.015maglevel).Table3presentsthebestfit(computedus-ingalinearSingleValueDecompositionalgorithm)tothephotometricequation(e.g.Harris1981):mobs=−2.5log

C

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1996).Thisalgorithmperformssourcedetectionandphotometry(seeSimardetal.,2002,forasummaryofthispackage).Weoptimizedtheconfigurationpa-rameterstoensurethefaintestsourcesweredetectedandtooptimizeourcompleteness.Weusedthelo-calbackgroundestimatedina24-pixelwideannulus.Theimageswereconvolvedwitha2pixelFWHMGaussiankernelbeforesourcedetection.Thede-tectionthresholdwassetto1.5sigmawithamin-imumareaof5pixels.Bad-pixelmasksareusedasflagimages.SExtractorisabletoperformdeblend-ingofcloseobjects.Thenumberofdeblendingsub-thresholdswassetto32pixels,andthroughexperi-mentation,theminimumcontrastparameterwassetto0.0001.Ourcatalogcontainsapproximately40,000objectsperfield,30,000ofwhichhaveI>22.5mag.

2.6.Photometry

Foreachobject,wemeasurethecolorina2×FWHMdiameteraperture,wherewetookseeingvariationsondifferentbandsintoaccount:thecolorintwobands,e.g.(U−B)=mB(2×FWHMB)−mU(2×FWHMU),andsimilarlyforothercolors.Al-thoughthisprocedureisstrictlyvalidonlyforstar-likeobjects,ithasbeenshowntobeagoodapproxi-mationforfaintandunresolvedgalaxies(Smailetal.,1995).Indeed,fromHubbleSpaceTelescopestud-ies,thehalf-lightradiusofLBGsis,onaverage,0.4′′(Lowenthaletal.,1997),muchlessthanourseeing.Forsourcesthatwerenotdetectedinoneband(i.e.flux<1σ),themagnitudeinthatbandissettothe1σfluxlimitina2×FWHMdiameterapertureandnocolortermiscomputed(Equation1).

Intheremainderofthispaper,weuseaperturemagnitudes.Toconvertthosetototalmagnitudes,weestimatethetotalmagnitudecorrectionforstar-likeobjectstobemI(tot)=mI(2×FWHM)−0.35intheI-band,calibratedbyaddingsimulatedstarswithknowntotalfluxintoourimagesandmeasuringtherecoveredfluxinthechosenaperture.

Inaddition,eachobjectinourcatalogswascor-rectedforGalacticextinctionbyadoptingE(B−V)valuestakenfromthemapsofSchlegeletal.(1998)assuminganRV=3.1extinctioncurve.

2.7.Completeness

Inordertoestimateourcompleteness,weaddedtoourimagesfakestellarobjectswithMOFFATprofilesthatmatchedtheimagepointspreadfunction(PSF).Fluxesweremeasuredwiththesameaperture.Wefindthatweare50%completeuptomI≃24.35mag.TheexactvaluesforeachfieldareshowninTable4.UsingthetransformationIAB=mI+0.47,thiscor-respondstoIAB≃24.8mag(RAB∼25mag,Steideletal.1993)andto0.67L∗,wherem∗R≃24.5forgalaxies

atz≃3(Steideletal.,1999).Our90%completeness

levelisIAB≃24.4mag.Thus,wereachedadepthsufficienttoensurethatwesamplewellL∗galaxiesatz=3.

2.8.SelectingLymanbreakgalaxycandidatesFromourcatalogof∼40,000objects,werejectedobjectsclosetothefieldedgesandobjectswithaFWHM

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3.1.PhotometricRedshifts

Therearetwoapproachestophotometricred-shiftestimations:theempiricaltrainingsetmethod(e.g.Koo,1985;Connollyetal.,1995)andthespectralenergydistribution(SED)fit-ting(Lanzetta,Yahil,&Fern´andez-Soto,1996;Sawicki,Lin,&Yee,1997;Budav´arietal.,2000;Fontanaetal.,2000;Csabaietal.,2003).Theformerisanempiricalrelationshipbetweencolorsandred-shiftsdeterminedusingamulti-parametricfit.ThelatterisbasedonasetofSEDtemplates(empiricalortheoretical).Thetwomethodsarecomparableintheirperformanceatz≤1;however,thetrain-ingsetmethodisnotalwaysfeasible,especiallyathigh-redshifts(seediscussioninBen´itez,2000).

Ontheotherhand,theSEDfittingmethodworksbestwhenthereisastrongfeatureintheSED,suchasthe4000˚Abreak,orthe912˚ALymanbreak.Thus,SEDfittingmethodswererapidlydevelopedfortheHubbledeepfield(HDF)(e.g.Budav´arietal.,2000;Fernandez-Sotoetal.,2001)withanaccuracyoftyp-ically∆z∼0.06(1+z).Inourcase,weusedthecodeHyperzfromBolzonella,Miralles,&Pell´o(2000),whichincludesintergalacticabsorptionduetotheLyαforestandinternalextinctionAtheintergalacticabsorptionprescriptionV.Weupdatedfol-lowingMassarottietal.(2001)andweusedtheex-tinctioncurveofCalzettietal.(2000)withAfrom0to1.2.

Vvary-ingWeusedthetemplatesetmadeofthefourempiricalSEDsofColeman,Wu,&Weedman(1980),extendedintheUV(λ<1400˚A)byBolzonella,Miralles,&Pell´o(2000)usingthesyn-theticmodelsofBruzual&Charlot(1993)withpa-rameters(SFRandage)thatmatchedthespectraatz=0.NotethatFernandez-Sotoetal.(2001)extendedtheCWWtemplatesusingthepowerlawsofKinneyetal.(1993),andBudav´arietal.(2000)usedtheextensionsofKinneyetal.(1996).TheSEDtemplatesareconvolvedwiththeMOSAICfilterresponsecurves(includingtheCCDresponse),andzphotisfoundfromthemaximumofthelikelihooddistributionL(z)derivedfromtheχ2distribution.

3.2.SimpletestsontheHDF

Weperformedseveraltestsofthetechniqueonthesampleof150spectroscopicallyconfirmedgalaxiesatredshiftsz≤6intheHubbledeepfieldnorth(HDF-N)(Cohenetal.,2000;Fernandez-Sotoetal.,2001).Weexperimentedwith5templatesetsthatincludedthe4CWWtemplatesandvariousstarbursttem-platesfromStarburst99(Leithereretal.,1999).Ofthe18galaxieswith2.75foundscatter∆z/(1+zspec)=0.053,bothmeasuredusingthebi-weightestimatorofBeers,Flyn,&Gebhardt(1990),and(ii)∆z/(1+zspec)isnotimprovedusingnear-IRphotometry.Thus,near-IRobservationsarenotrequiredforphotometricredshiftsatz≃3.

3.3.Usingpriors

SEDfittingmethodsgivethemostlikelyredshiftgiventheobservedsetofcolors.However,informa-tionsuchassize,orflux,canbeincludedinpho-tometricredshifttechniques´usingBayesianproba-bilities(followingBenitez,2000).WecoupledtheSEDfittingschemewiththepriorlikelihooddistri-butionforagalaxyofmagnitudembyBen´itez(2000)inthefollowingway:Iparametrizedtheproductprior×likelihoodisdecomposedovertheSEDtypesT:

P(z)=

󰀁

pT(z|mI)·LT(z),(3)

T

wherepT(z|mI)isthepriorprobabilitygiventhegalaxymagnitudemI,andLT(z)istheprobabilityofobservingthegalaxycolorsifthegalaxyisatredshiftzandhasatypeT.ThephotometricredshiftzphotistakenfromthemaximumoftheP(z)distribution,andtheerrors,σz,arecomputedfromtheFWHMofP(z)dividedby2.35.Redshiftswithlargeσ´goodestimatorofreliabilityzmaybeunreliable.Aisthefollowing(Benitez,2000):

P∆z≡P(|z−zphot|<0.2×(1+zphot)),

(4)

whichestimatesthe‘goodness’ofaphotometricred-shiftzphotusingEq.3,andalsohastheusefulfeaturetopicklikelyoutliers(Ben´itez,2000).Thefactor0.2isarbitrary,butsincethermsofphotometricred-shiftsσzis∼0.05(1+z),thisfactorcorrespondstoapproximately4×σz.Atz<6,theoverallrmsof∆zis0.11,and´∆z/(1+zspec)=0.06,similarto0.059foundbyBenitez(2000).

3.4.Photometricredshiftdistributions

Fig.2showstheredshiftdistributionofthethreefields.ThedottedhistogramshowsthephotometricredshiftdistributionusingtheCWWtemplateswithnopriors.Thecontinuoushistogramshowsthepho-tometricredshiftdistributionusingthepriors.Fig.2showsthatusingthepriorshastheeffectofremov-inggalaxieswithzphotredshifts.Asexpected,the≃2distributionthatarelikelyofgalaxiesatloweratz∼3isnotaffectedmuch.ThisisduetothefactthatthismethodissensitivetotheshapeoftheSED,whichhasastrongbreakbetweentheUandBfiltersatthatredshift.

Weusedthephotometricredshiftzphotofourgalax-iestodeterminetheirabsolutemagnitudeMTheK-correction,whichforgalaxiesatz∼3I,cor-rest.respondstotheextrapolationoftheirintrinsicfluxatλrest˚

∼8000˚Afromtheirobservedfluxatλrest2000A,wascomputedusingaweightedsumoneach∼

SED.Eachtemplatewasweightedbythepriorprob-abilitypT(z|mI)·LT(z)sincethebest-fittedSEDwasacombinationofthespectraltypesT(seeEq.3).Atredshiftz∼3,theK-correctionis,however,small:itistypically∼0.2forblueSEDs,suchastheIrrtemplateofColeman,Wu,&Weedman(1980).

Fig.3showstheabsolutemagnitudeMtionofz.EachdotrepresentonegalaxyinIasafunc-ourfields.ThetwocontinuouslinesshowourmagnitudecutsandwerecomputedusinganIrrSED.Thegalaxiesatredshiftz∼3are,asexpected,betweenthetwolinesandnearourcompletenesslimit,whichprovidesaconsistencycheckofthephotometricredshifttech-nique.

AlmostallpointsthatareoutsidetherangeallowedbythecontinuouslinesinFig.3arebetweenthedot-tedlines,whichrepresentthemagnituderangeforanE/S0template,andthusarebestfittedbytheE/S0type.Thistypehasastrongbreakat4000˚AthatcreatesalargeK-correctionoffourmagnitudesandmakestheseobjectstooluminousfortheirapparentmagnitude.ThefittedSEDsarelikelytobewrong.Atthatredshift,zphottobetterconstrainthe∼SEDs.

2,IRphotometryisneeded3.5.SelectingreliablegalaxiesinslicesFromthesubsampledescribedinsection2.8,weselected∼100LBGsthatareinaredshiftslicecen-teredontheDLA.Specifically,theywerechosentohaveahighprobabilityofbeingattheredshiftoftheDLA,zabs,i.e.

P(zabs±Wz/2)≡PDLA>0.5,

(5)

whereWfinedtwozistheredshiftslicewidth.Wealsode-additionalredshiftslicesshiftedby+0.15or−0.15fromzabs,P+andP−,respectively.WechoosearedshiftwidthofWz=0.15because,asdiscussedinBouch´e&Lowenthal(2003),itproducesthelargestsampleinthesmallestredshiftslice,giventhermsofthephotometricredshifts.Attheendof§6,weshowthatadifferentchoiceofWresults.

zdoesnotchangetheMoreimportantly,thiscriterion(Eq.5)corre-spondstohighqualityphotometricredshiftsasillus-tratedinFig.4fortheAPM08279+5255field.TheleftpanelsofFig.4showtheprobabilitydistribution,andtherightpanelsshowtheprobabilitydistributionasafunctionofP∆zdefinedinEq.4,bothforthethreedifferentredshiftslices.Fig.4(a),(b),and(c)

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showP−,PDLAandP+,respectively.Thedotsrepre-sentgalaxiesdetectedinallfourbands,UBV&I.ThefilledsquaresindicateobjectsthatarenotdetectedintheUband.SmoothingthedistributionsusingaGaussiankernel(scaledtothepeak)producedthecontinuouslinesinFig.4.Thedottedlineshowstheminimumthreshold(>0.5)usedinselectingLBGcandidatesineachoftheslices.Fromtherightpan-els,galaxiesthathaveahighprobabilityofbeinginaredshiftslicealsohavereliablephotometricred-shifts,indicatedbythefactthatP∆zredshiftslice,thenumberofgalaxies≥that0.9.FormeteachthethresholdisshowninTable5.

Fig.5showsthex−ypositionsofourLBGcandi-datesthatmetthecriterionEq.5.Thesquareregionsshowthemasksusedtocoverbrightstarsanddefectssuchasstreaks.

4.CLUSTERINGANALYSIS

Inthecurrenthierarchicaltheoryofgalaxyforma-tion(e.g.seeLongair,1998,andreferencetherein),smallquantumfluctuationsthatwerestretchedouttocosmologicalscalesbyinflationgrew(mainlylinearly)duringtheradiation-dominatedera,tillthepresent.Theinitialpowerspectrum(P(k)∝kn),whichchar-acterizesthesefluctuationsinFourierspace,isnearlyscaleinvariant(i.e.n≃1)onallscales.Initially,allscalesgrewatthesamerate.Smallscalesen-teredthehorizonbeforetheuniversebecamematter-dominated.Duringthattimetheirgrowthwassup-pressed.TheresultingpowerspectrumPE(k)hasn≃1(−3)onlarge(small)scales.Thesedark-matterfluctuationsformeddeepgravitationalpotentialsinwhichgalaxiesandgalaxyclustersformed.Whenthedensitycontrastreachedδρ/ρ∼1,thefluctua-tionsgrewnon-linearlyuntil∆ρ/ρ∼200.

Sinceonlygravityisdrivingthisbuild-upofmatter,massivegalaxiesaremorelikelytobefoundinhigh-densityregions,whereaslow-massgalaxiesaremoreuniformlydistributed.Thisproducesanenhance-mentoftheclusteringofmassivegalaxies.There-fore,theclusteringpropertiesofgalaxiesprobetheirdark-mattermassdistribution.Theauto-correlationξ(r)isanaturaltooltostudyclusteringinthiscon-text,sinceξDMistheFouriertransformoftheevolvedpowerspectrumPcorrelationE(k)(e.g.Peacock,1999).Thegalaxyξggisrelatedtothedark-matterauto-correlationξDMviathebiasb.Atagivenred-shift,

ξgg(r)=b2(M)ξDM(r).(6)ThisbiascanbecomputedinthePress-Schechterfor-malismextendedbyMo&White(2002)andrefer-encetherein.

Similarlytothegalaxyauto-correlationξcandefinethecross-correlationξgg,onedgbetweenDLAs

8

andLBGsfromtheconditionalprobabilityoffindingagalaxyinavolumedVatadistancer=|r2giventhatthereisaDLAatr1:

−r1|,P(LBG|DLA)=nu(1+ξdg(r))dV2,

(7)

wherenuistheunconditionalbackgroundgalaxyden-sity.Thus,thenumberofneighborgalaxiesinacell

ofvolume∆VisgivenbyNp=

ξdg(r)),whereξisthecross-correlationaveraged

overthevolume∆V.Thisestimatorofξrequiresanestimateoftheunconditionalbackgroundgalaxyden-sityng.Therearetwowaystoquantifynthecross-correlation:onewayistousegalaxiesgincaseofspa-tiallyfarfromtheDLAasinBouch´e&Lowenthal(2003);theotherwayistousetheentiregalaxycat-alog.Here,weusedthelatterbecauseofthesimplic-ityofthismethodwhenrandomizingthelineofsight(seesection5.2).Naturally,largefieldswillyieldabetterestimateofncanextendtheg.

Wespatialcross-correlationξtoangularcorrelationfunctionwsincetheformerisdirectlyrelatedtospatialcorrelationfunctionsξ.Namely,iftheselectionfunctionφ(z)≃1/W[−Wandzerootherwise,then

zwithinz/2,Wz/2]w(r)=

2

z2+r2

z,(8)

orw(rθ)≃A

ro

constantthatcan󰀅󰀅

whereβ=1−γandAisabecomputedanalytically(e.g.Adelbergeretal.,2003;Eisenstein,2003).

Weusedthefollowingestimatorofthecross-correlationwdg(r),

1+

Nobs(r)Ng

[1+

Nobs/NDLA,yieldsthePoissonerrorsforEq.9(e.g.Mo,Jing&Boerner,1992;Landy&Szalay,1993):

σw≃

1+

󰀂

wgoesastheinverseofthesquarerootofthenumberdg

ofDLAs,NDLA,andastheinverseofthesquarerootofthenumberofgalaxiesNg.

5.RESULTS

Withtheclusteringformalismlayedoutinsec-tion4,wecanpresentourresultsontheDLA-LBGcross-correlation(§5.1)andonthecomputationoftheerrors(§5.2).

5.1.DLA-LBGcross-correlationfromthecombined

fieldsFig.6showstheDLA-LBGcross-correlationwcomputedusingEq.9.IncomputingNdgobs(r)andNrandinEq.9,wetookintoaccountthemaskedregionswithbrightstarsshowninFig.5.Thedottedlineshowstheauto-correlationwetal.(2003)andthecontinuousggofAdelbergerlineshowsafittotheamplitudeofwdgusingwggastem-plate.Thefittingmethodisdescribedbelow.

Itisnecessarytotakeintoaccountthedifferentse-lectionsofthedifferentfieldsinperformingthesuminEq.9indicatedbythebrackets,sowemustweighteachfieldaccordingly.Wechosetoweighteachfieldaccordingtoitserrorsateachangularscalerforeachfieldl,wecomputeNi.Thus,obs

∂f(rj)

∂wl(ri)

9

5.2.Errorcomputation

BecauseeachDLAisataslightlydifferentred-shift,eachfieldhasadifferentselectionfunction,anditisnecessarytotakeintoaccountthesedifferencesbyweightingeachfieldaccordingly.Asmentioned,wechosetoweighteachfieldaccordingtoitserrorsσw(ri).

Theerrorsneedtobecomputedcarefully.Severaloptionsareavailable.TheproperwaytocomputetheerrorswouldbetoresampletheDLAs(viaboot-straptechniques),butthisisimpracticalheregiventhenumberofDLAfieldsatourdisposal.Anotherwaywouldbetobootstrapthegalaxies,whichwouldreproduceonlythePoissonianerrors(Eq.11).

Weusedyetanothermethod,whichistoperformMonteCarlosimulationsinwhichwerandomizethepositionoftheDLA.Thistakesintoaccounttheclus-teringvarianceduetothegalaxyauto-correlation,butmissesthevariance(andco-variance)duetothecross-correlationitself(thefactor1+wdginEq.10).However,thistermwillbesmallonscaleslargerthan5h−1Mpcbecausewdg<<1.

Thus,ineachDLAfieldl,wecomputedthefullco-variancematrixCOVlfromnr=200randomizationsoftheDLAposition:COVl(ri,rj)=

1

w(ri)][wk(rj)−

wis

theaverageofthenrmeasurementsofthecross-correlation.Theerrorsσl(ri)towl(ri)foreachfieldlfollow.

Ourerrorsareconsistentwiththeerrorsexpectedfromouranalysisofcosmologicalsimulations:inBouch´eetal.(2004,inpreparation),weconcludethatwithadatasetofthissize,wecanbesensitivetothecross-correlationonlyonscales5-10h−1Mpc,whichiswhereweseeapositivecross-correlation.

5.3.Theintegralconstraint

Becausetheunconditionalgalaxydensity,nuinEq.7,isestimatedfromthetotalobservedgalaxydensity,whereasitshouldalwaysbelowerthantheobservedgalaxydensity,allestimatesofξ(orw)arebiasedlow.Thisbias∆w,oftenreferredtoasthe‘in-tegralconstraint’,canbecomputedanalytically(e.g.Landy&Szalay,1993;Saslaw,2000).Fortheangu-larcross-correlationfunction,itis:

∆w=

1

10

6.2.Isthisresultdrawnfromrandomlinesofsight?Giventhelargermstothefittedamplitudea,couldourresultsimplybealargefluctuationofthesetofpossiblevaluesforrandomlinesofsight?Totestthis,wechose100linesofsightselectedatrandom,excludingthecentral5h−1MpctoensurethatthenewlinesofsightarenotcorrelatedwiththeonescenteredontheDLAs.Wethencomputedthecross-correlationforthese100randomlinesofsightintheredshiftslicescenteredontheDLAs.Asbefore,wecomputedtheweightedmeantowdgandusedEq.13.Fig.7showsthelogarithmoftheχ2(a)forfixedamplitudesaforthe100randomlinesofsight(filledcircles).Thecontinuouslineshowsthemedianofthedistributions.Thedottedanddashedlinesarethe95%and99%levelsofthedistributions.Themedian,95%and99%levelsarefoundafteraGaus-siankernelsmoothingofthedistributionsusingtheoptimumbandwidth(Wand&Jones,1995)(There-sultsarenotsignificantlychangedusingafixedbandwidth).Theopensquareshowsthelocationofthere-sultofFig.6.Sinceitliesclosetothe95%confidencelevel,thisshowsthatthesignalmeasuredinFig.6isnotdrawnfromarandomdistributionoflinesofsight,atthe>95%confidence.

6.3.Howaboutotherredshiftslices?

TheresultofFig.6shouldbecomparedwiththecross-correlationwhenthereisnoDLAinthered-shiftbin.Fromourphotometricredshiftanalysis,weselectedgalaxiesintwootherredshiftslicesthatdidNOTcontaintheDLA.WechosetheslicesthatwereintheforegroundandinthebackgroundfromtheDLA,andoffsetby+or−0.15inredshift(seeFig.4).Ineachcase,theχ2fitdoesnotfavoranyclustering:thebestamplitudeisa=−0.20±1.26anda=−0.24±2.04,respectively.Aclusteringsig-nalinthisslicewouldhavecastastrongdoubtonourresultsthatdocontaintheDLAinFig.6.Inad-dition,weperformedthesamecheckonanothersliceatredshift3.6.Thebestamplitudeforthissliceisa=−0.13±1.44.

WerepeatedtheanalysiswithWwhethertheobservedclusteringdependsz=0.20totestonthechoiceoftheslicewidth.Wefoundthata=1.45±1.35inthiscase,soweconcludethattheslicewidthdoesnotstronglyaffecttheclusteringsignal.

6.4.ComparisonwithpastandfutureworkWolfe(1993)alsofoundthatLy-emittersarestronglyclusteredaroundDLAs.Incontrast,Gawiseretal.(2001)didnotfindevidenceofcluster-ingandthestudyofAdelbergeretal.(2003)foundalackofgalaxiesneartheirfourDLAs,within

5.7h−1Mpc.Sincethesetwosurveyswerenotsensi-tivetoclusteringonscaleslargerthan>5h−1Mpc,andoursisnotsensitiveto<3−5h−1Mpc,ourresultsarenotinconsistentwiththeirs.Thelackofgalaxiesonsmallscalescould,however,beduetomorelocalenvironmentaleffects,suchasstronggalacticwindsfromstarforminggalaxies.

AlthoughsimulationsofDLApropertiesexist(e.g.Katzetal.(1996);Gardneretal.(2001);Nagamine,Springel,&Hernquist(2003b)),nopre-dictionoftheDLA-LBGcross-correlationhasbeenpublished.InBouch´eetal.(2004,inprepara-tion),weusetheTree-SmoothedParticleHydro-dynamical(TreeSPH)cosmologicalsimulationsofKatz,Weinberg,&Hernquist(1996b)tomeasurethe‘theoretical’DLA-LBGcross-correlation.Thesesim-ulationscontain1283darkmatterparticlesandasmanygasorstarparticles.Eachgalaxy(≡>64SPHboundparticles)isabletoformstars.Withasim-ilarnumberofDLA-LBGpairsandredshiftdepth(Wz=111h−1Mpc),wefindwsignaltonoise.Furthermore,dg>0withthesamewithamuchlargersampleof200simulatedDLAs,wefindw0.75±0.1,orrdg≃arelessmassiveothan≃3.5theh−1Mpc.Thus,DLAhaloshalosofLBGs,whichare1012M⊙(Porciani&Giavalisco,2002;Ouchietal.,2003).GiventhepresentsampleofthreeDLAs,ourobservedconstraintonwdgwithitsuncertaintyisconsistentwiththesesimulationresults.

7.SUMMARYANDCONCLUSIONS

Basedondeep(µI,AB(sky)≃27.6magarcsec−2)

wide-fieldimages(0.31deg2or∼65×65h−1

z=3)aroundthree71Mpcco-movingatredshiftDLAs,weidentifyLBGcandidatesbrighterthanI.80magusingphotometricredshifttechniquesAB=24thatincludedtheImagnitudeasapriorestimateinad-ditiontothecolors.

Fromtheredshiftlikelihooddistributions,wese-lectedLBGgalaxieswithinaredshiftsliceofwidthWz=0.15(≃σzz)centeredontheredshiftoftheDLAsabs.Withinthatslice,wecross-correlatedtheLBGswiththepositionoftheDLAsandfoundthat•thecorrelationamplitudewdgrelativeofthetotheDLA-LBGauto-correlationcross-wspondingggwaswtodg/wrggo=5≡±4a.5h=−11.Mpc62±(co-moving),1.32,corre-•thecorrelationamplitudeisa>of0,thewhichDLA-LBGissignificantcross-atthe>95%confidencelevelbasedonMonteCarlosimulations,•theredshiftclusteringslicesthatsignaldidwasnotnotcontainpresenttheinDLAs.

three11

Giventheuncertaintyofourresults,wecannotputconstraintsonthehalomassesofDLAsanddiscriminatebetweenthelargediskhypothesis(e.gWolfeetal.,1986),andsmallsub-L∗hypothesis(e.gMalleretal.,2000;Haehnelt,Steinmetz,&Rauch,2000;Mølleretal.,2002).Ourobservationoftheclusteringonlargescales(>4h−1Mpc)isnotinconsistentwithpreviousclusteringstudies(Gawiseretal.,2001;Adelbergeretal.,2003)sincethesewerelimitedtosmallscales.Inordertobeabletodirectlycomparethesestudieswithourpresentresultsonscales<4h−1Mpc,alargersampleofDLAsandmulti-objectspectroscopyofourLBGcan-didatesareneeded.Thiswillenabletotestwhetherthecross-correlationisstrongerorweakerthantheauto-correlation.

N.B.acknowledgesapost-docfellowshipfromtheEuropeanCommunityResearchandTrainingNet-work“ThePhysicsoftheIntergalacticMedium”.J.D.L.acknowledgessupportfromNSFgrantAST-0206016.Wethanktheanonymousrefereeforacare-fulreadingofthemanuscriptthatimprovedthequal-ityofthepaper.WealsothankH.Mo,N.KatzandB.M´enardforhelpfuldiscussions,andJ.Fynboforreadingaearlierdraft.

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15

Table1

PropertiesoftheDLAsandtheQSOs.

APM08279+525

PC1233+4752

J0124+0044

QSOProperties

DLAproperties

aGalactic

extinctionfromSchlegeletal.(1998),averagedoverthefield.

References.—(1)V´eron-Cetty&V´eron(2001);(2)McMahonetal.(2002)(3)Schneider,Schmidt,&Gunn(1991)(4)Carillietal.(2001)(5)White,Kinney,&Becker(1993);(6)Petitjeanetal.(2000);(7)P´eroux,C.,2003,privatecommunication.

Table2

Summaryoftheobservations.Uband

BbandVbandIbandAPM08279+52553.75hr35min50min2.08hrFeb.7,8,2000PC1233+47523.50hr40min50min1.92hrFeb.7,8,2000J0124+0044

3.72hr

47min

52min

2.08hr

Sept.23–26,2001

16

Table3

Photometricsolution.

RunIZP

a

FilterBI

aFor

ZP23.52(0.02)

RunIIα-0.421(0.02)-0.072(0.01)

β0.018(0.007)-0.025(0.009)

25.085(0.03)

25.25(0.02)

24.58(0.05)

runI,weassumedtheairmasscoefficientαandthecolorterm

βtobethesameasforrunII.

Table4

Depthoftheobservations

Exp./Frames(sec./#)

AirmassXa(min-max)

FWHM(arcsec)

SBlim(1σ)b(mag/mAB)

SBlim(5σ)b(mag/mAB)

mlim(3σ)c(mag/mAB)

FieldsFilter

PC1233+4752

UBVI12600/142400/87590/106900/151.04-1.161.05-1.071.07-1.111.07-1.451.051.00.91.127.82/28.5228.59/28.5128.18/28.2027.19/27.6426.07/26.7826.84/26.7626.43/26.4525.44/25.9025.94/26.6526.75/26.6826.45/26.4725.30/25.76

cosζ

bLimiting

whereζisthezenithangleofthetelescope.

surfacebrightnessinmagnitudespersquarearcsecond.insidea2×FWHMdiameteraperture.

cMeasured

Table5

Numberofgalaxiesinthedifferentredshiftslices.

Field

P−

PDLA

P+

17

Fig.1.—ThesolidlinesshowthetransmissioncurvesforourfourfiltersU,B,V,andI.ThedashedlineshowstheCCDresponsefunction.ThedottedlinesshowthefiltertransmissionconvolvedwiththeCCDresponsefunction.

18

Fig.2.—Redshiftdistributionforeachofourfields.ThedottedhistogramshowsthephotometricredshiftdistributionusingnopriorsandthetemplatesetA.Thecontinuoushistogramshowsthephotometricredshiftdistributionusingthepriors.Usingthepriorshastheeffectofeliminatingthelargenumberofgalaxiesthathavebeenassignedzphot≃2wrongly,butdoesnotaffectthedistributionatz∼3significantly.TheverticaldashedlineshowstheredshiftoftheDLAzDLA.ThisplotshowstheeffectofthepriorsandthatourselectionpeaksataredshiftclosetothatoftheDLA.

19

Fig.3.—Absolutemagnitudevs.photometricredshiftforeachfield.Eachdotrepresentsonegalaxyinourfields.Therest-frameabsolutemagnitudeMIwascomputedusingthedistancemodulusandtheK-correction(seetextfordetails).Thecontinuouslinesshowourmagnitudeselection2220

Fig.4.—Redshiftslicescentered(a)infrontof,(b)on,and(c)behindtheDLAfortheAPM08279+5255field.Thevaluezabs=2.974isindicatedbytheverticaldashedline.EachdotrepresentagalaxythatwasdetectedinthefourUBV&Ibands.ThefilledsquaresindicateobjectsthatarenotdetectedintheUband.Theleftcolumnshowstheprobabilitydistributionasafunctionofphotometricredshift.Thecontinuouslineshowsthesmootheddistribution(arbitrarilyscaledtothepeak).Therightcolumnshowstheprobabilitytobeinthatparticularsliceasafunctionofthe‘goodness’ofthephotometricredshiftP∆zdefinedinEq.4.Thedottedlineshowstheminimumthreshold(50%)usedinselectingLBGcandidatesineachoftheslices.

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Fig.5.—Forourthreefields,thexypositionofourLBGcandidatesrelativetotheQSOlocation.Northisleft,Eastisdown.

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APM08279+5255PC1233+4752J0124+0044Fig.6.—Thecross-correlationwdgbetweenDLAsandLymanbreakgalaxiesinaredshiftsliceofwidth(Wz=0.15)thatcontainstheDLAs.Thefilledsquaresshowthecross-correlationforthecombinedfields.ThedottedlineistheLBGauto-correlationwgg(fromAdelbergeretal.,2003,usingEq.8toaccountforthevolumeofourredshiftslice).Thecontinuouslineisafittotheamplitudeofthecross-correlationusingwˆdg=a×wgg,i.e.weassumethatbothwggandwdghavethesameslope.

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Thesmallpanelshowstheχdistributionasafunctionoftheamplitudeaandthe1σrange.

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Fig.7.—Thepointsshowthelogarithmofχ2(a)asafunctionoftheamplitudeafor100randomlinesofsight(excludingthecentral5h−1Mpc)intheredshiftslicecenteredontheDLAs.Thecontinuouslineshowsthemedianofthedistributions.Thedottedlineandthedashedlinearethe95%and99%confidencelevels,respectively.TheopensquareshowsthelocationofthefittedamplitudeshowninFig.6,whichshowsthatthesignalmeasuredinFig.6isnotdrawnfromarandomdistributionoflinesofsightatthe>95%confidencelevel.

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