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Search for dark matter towards the Galactic Centre with
11 years of ANTARES data
A. Albert, M. André, M. Anghinolfi, G. Anton, M. Ardid, J.-J. Aubert, J.
Aublin, B. Baret, S. Basa, B. Belhorma, et al.
To cite this version:
A. Albert, M. André, M. Anghinolfi, G. Anton, M. Ardid, et al..
Search for dark matter
to-wards the Galactic Centre with 11 years of ANTARES data. Phys.Lett.B, 2020, 805, pp.135439.
�10.1016/j.physletb.2020.135439�. �hal-02431461�
Contents lists available atScienceDirect
Physics
Letters
B
www.elsevier.com/locate/physletb
Search
for
dark
matter
towards
the
Galactic
Centre
with
11
years
of
ANTARES
data
A. Albert
a,
b,
M. André
c,
M. Anghinolfi
d,
G. Anton
e,
M. Ardid
f,
J.-J. Aubert
g,
J. Aublin
h,
B. Baret
h,
S. Basa
i,
B. Belhorma
j,
V. Bertin
g,
S. Biagi
k,
M. Bissinger
e,
J. Boumaaza
l,
S. Bourret
h,
M. Bouta
m,
M.C. Bouwhuis
n,
H. Brânza ¸s
o,
R. Bruijn
n,
p,
J. Brunner
g,
J. Busto
g,
A. Capone
q,
r,
L. Caramete
o,
J. Carr
g,
S. Celli
q,
r,
s,
M. Chabab
t,
T.N. Chau
h,
R. Cherkaoui El Moursli
l,
T. Chiarusi
u,
M. Circella
v,
A. Coleiro
h,
M. Colomer
h,
w,
R. Coniglione
k,
H. Costantini
g,
P. Coyle
g,
A. Creusot
h,
A.F. Díaz
x,
G. de Wasseige
h,
A. Deschamps
y,
C. Distefano
k,
I. Di Palma
q,
r,
A. Domi
d,
z,
C. Donzaud
h,
aa,
D. Dornic
g,
D. Drouhin
a,
b,
T. Eberl
e,
I. El Bojaddaini
m,
N. El Khayati
l,
D. Elsässer
ab,
A. Enzenhöfer
e,
g,
A. Ettahiri
l,
F. Fassi
l,
P. Fermani
q,
r,
G. Ferrara
k,
F. Filippini
u,
ac,
L. Fusco
h,
ac,
P. Gay
ad,
h,
H. Glotin
ae,
R. Gozzini
w,
∗
,
R. Gracia Ruiz
a,
K. Graf
e,
C. Guidi
d,
z,
S. Hallmann
e,
H. van Haren
af,
A.J. Heijboer
n,
Y. Hello
y,
J.J. Hernández-Rey
w,
J. Hößl
e,
J. Hofestädt
e,
G. Illuminati
w,
C.W. James
ag,
M. de Jong
n,
ah,
P. de Jong
n,
M. Jongen
n,
M. Kadler
ab,
O. Kalekin
e,
U. Katz
e,
N.R. Khan-Chowdhury
w,
A. Kouchner
h,
ai,
M. Kreter
ab,
I. Kreykenbohm
aj,
V. Kulikovskiy
d,
ak,
R. Lahmann
e,
R. Le Breton
h,
D. Lefèvre
al,
am,
E. Leonora
an,
G. Levi
u,
ac,
M. Lincetto
g,
D. Lopez-Coto
ao,
S. Loucatos
ap,
h,
G. Maggi
g,
J. Manczak
w,
M. Marcelin
i,
A. Margiotta
u,
ac,
A. Marinelli
aq,
ar,
J.A. Martínez-Mora
f,
R. Mele
as,
at,
K. Melis
n,
p,
P. Migliozzi
as,
M. Moser
e,
A. Moussa
m,
R. Muller
n,
L. Nauta
n,
S. Navas
ao,
E. Nezri
i,
C. Nielsen
h,
A. Nuñez-Castiñeyra
g,
i,
B. O’Fearraigh
n,
M. Organokov
a,
G.E. P˘av˘ala ¸s
o,
C. Pellegrino
u,
ac,
M. Perrin-Terrin
g,
P. Piattelli
k,
C. Poirè
f,
V. Popa
o,
T. Pradier
a,
L. Quinn
g,
N. Randazzo
an,
G. Riccobene
k,
A. Sánchez-Losa
v,
A. Salah-Eddine
t,
D.F.E. Samtleben
n,
ah,
M. Sanguineti
d,
z,
P. Sapienza
k,
F. Schüssler
ap,
M. Spurio
u,
ac,
Th. Stolarczyk
ap,
B. Strandberg
n,
M. Taiuti
d,
z,
Y. Tayalati
l,
T. Thakore
w,
S.J. Tingay
ag,
A. Trovato
k,
B. Vallage
ap,
h,
V. Van Elewyck
h,
ai,
F. Versari
u,
ac,
h,
S. Viola
k,
D. Vivolo
as,
at,
J. Wilms
aj,
D. Zaborov
g,
A. Zegarelli
q,
r,
J.D. Zornoza
w,
J. Zúñiga
waUniversitédeStrasbourg,CNRS,IPHCUMR7178,F-67000Strasbourg,France bUniversitédeHauteAlsace,F-68200Mulhouse,France
cTechnicalUniversityofCatalonia,LaboratoryofAppliedBioacoustics,RamblaExposició,08800VilanovailaGeltrú,Barcelona,Spain dINFN- SezionediGenova,ViaDodecaneso33,16146Genova,Italy
eFriedrich-Alexander-UniversitätErlangen-Nürnberg,ErlangenCentreforAstroparticlePhysics,Erwin-Rommel-Str.1,91058Erlangen,Germany fInstitutd’InvestigacióperalaGestióIntegradadelesZonesCostaneres(IGIC)- UniversitatPolitècnicadeValència,C/Paranimf1,46730Gandia,Spain gAixMarseilleUniv,CNRS/IN2P3,CPPM,Marseille,France
hAPC,UnivParisDiderot,CNRS/IN2P3,CEA/Irfu,ObsdeParis,SorbonneParisCité,France iAixMarseilleUniv,CNRS,CNES,LAM,Marseille,France
jNationalCenterforEnergySciencesandNuclearTechniques,B.P.1382,R.P.10001Rabat,Morocco kINFN- LaboratoriNazionalidelSud(LNS),ViaS.Sofia62,95123Catania,Italy
lUniversityMohammedVinRabat,FacultyofSciences,4av.IbnBattouta,B.P.1014,R.P.10000Rabat,Morocco mUniversityMohammedI,LaboratoryofPhysicsofMatterandRadiations,B.P.717,Oujda6000,Morocco nNikhef,SciencePark,Amsterdam,theNetherlands
oInstituteofSpaceScience,RO-077125Bucharest,M˘agurele,Romania
pUniversiteitvanAmsterdam,InstituutvoorHoge-EnergieFysica,SciencePark105,1098XGAmsterdam,theNetherlands qINFN- SezionediRoma,P.leAldoMoro2,00185Roma,Italy
*
Correspondingauthor.E-mailaddress:srgozzini@km3net.de(R. Gozzini).
https://doi.org/10.1016/j.physletb.2020.135439
2 A. Albert et al. / Physics Letters B 805 (2020) 135439
rDipartimentodiFisicadell’UniversitàLaSapienza,P.leAldoMoro2,00185Roma,Italy sGranSassoScienceInstitute,VialeFrancescoCrispi7,00167L’Aquila,Italy
tLPHEA,FacultyofScience- Semlali,CadiAyyadUniversity,P.O.B.2390,Marrakech,Morocco uINFN- SezionediBologna,VialeBerti-Pichat6/2,40127Bologna,Italy
vINFN- SezionediBari,ViaE.Orabona4,70126Bari,Italy
wIFIC- InstitutodeFísicaCorpuscular(CSIC- UniversitatdeValència),c/CatedráticoJoséBeltrán,2,E-46980Paterna,Valencia,Spain xDepartmentofComputerArchitectureandTechnology/CITIC,UniversityofGranada,18071Granada,Spain
yGéoazur,UCA,CNRS,IRD,ObservatoiredelaCôted’Azur,SophiaAntipolis,France zDipartimentodiFisicadell’Università,ViaDodecaneso33,16146Genova,Italy aaUniversitéParis-Sud,91405OrsayCedex,France
abInstitutfürTheoretischePhysikundAstrophysik,UniversitätWürzburg,Emil-FischerStr.31,97074Würzburg,Germany acDipartimentodiFisicaeAstronomiadell’Università,VialeBertiPichat6/2,40127Bologna,Italy
adLaboratoiredePhysiqueCorpusculaire,ClermontUniversité,UniversitéBlaisePascal,CNRS/IN2P3,BP10448,F-63000Clermont-Ferrand,France aeLIS,UMRUniversitédeToulon,AixMarseilleUniversité,CNRS,83041Toulon,France
afRoyalNetherlandsInstituteforSeaResearch(NIOZ)andUtrechtUniversity,Landsdiep4,1797SZ’tHorntje(Texel),theNetherlands agInternationalCentreforRadioAstronomyResearch- CurtinUniversity,Bentley,WA6102,Australia
ahHuygens-KamerlinghOnnesLaboratorium,UniversiteitLeiden,theNetherlands aiInstitutUniversitairedeFrance,75005Paris,France
ajDr.Remeis-SternwarteandECAP,Friedrich-Alexander-UniversitätErlangen-Nürnberg,Sternwartstr.7,96049Bamberg,Germany ak
MoscowStateUniversity,SkobeltsynInstituteofNuclearPhysics,Leninskiegory,119991Moscow,Russia
alMediterraneanInstituteofOceanography(MIO),Aix-MarseilleUniversity,13288,Marseille,Cedex9,France amUniversitéduSudToulon-Var,CNRS-INSU/IRDUM110,83957,LaGardeCedex,France
anINFN- SezionediCatania,ViaS.Sofia64,95123Catania,Italy
aoDpto.deFísicaTeóricaydelCosmos&C.A.F.P.E.,UniversityofGranada,18071Granada,Spain apIRFU,CEA,UniversitéParis-Saclay,F-91191Gif-sur-Yvette,France
aqINFN- SezionediPisa,LargoB.Pontecorvo3,56127Pisa,Italy
arDipartimentodiFisicadell’Università,LargoB.Pontecorvo3,56127Pisa,Italy asINFN- SezionediNapoli,ViaCintia80126Napoli,Italy
atDipartimentodiFisicadell’UniversitàFedericoIIdiNapoli,ViaCintia80126,Napoli,Italy
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Articlehistory:
Received12December2019 Receivedinrevisedform3April2020 Accepted16April2020
Availableonline21April2020 Editor:H.Peiris
Keywords:
Darkmatterindirectdetection Neutrinotelescope
GalacticCentre ANTARES
Neutrinodetectorsparticipateintheindirectsearchforthefundamentalconstituentsofdarkmatter(DM)inform ofweaklyinteractingmassiveparticles(WIMPs).InWIMPscenarios,candidateDMparticlescanpair-annihilateinto StandardModelproducts,yieldingconsiderablefluxesofhigh-energyneutrinos.AdetectorlikeANTARES,locatedin theNorthernHemisphere,isabletoperformacomplementarysearchlookingtowardstheGalacticCentre,wherea highdensityofdarkmatteristhoughttoaccumulate.Boththisdirectionalinformationandthespectralfeaturesof annihilatingDMpairsareenteredintoanunbinnedlikelihoodmethodtoscanthedatasetinsearchforDM-like signalsinANTARESdata.Resultsobtaineduponunblinding3170daysofdatareconstructedwithupdatedmethods arepresented,whichprovidesalarger,andmoreaccurate,datasetthanapreviouslypublished resultusing2101 days.Anon-observationofdarkmatterisconvertedintolimitsonthevelocity-averagedcrosssectionforWIMPpair annihilation.
©2020PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.
1. Introduction:darkmattersignalsatneutrinotelescopes
The existence of cold, non-baryonic dark matter (DM), evi-dencedonmacroscopicscalebyastrophysicalobservations[1], en-couragesthesearchesforitspossibleparticleconstituents.Among thosecandidates,mostWIMPscenariosaccommodatetheDMrelic densityreportedbyastrophysicalmeasurementsthrougha freeze-out mechanism. Thiscould implythat typical WIMP interactions of the DMcandidate, especially its annihilation cross section, lie neartheelectroweakscale;beyondthat,otherparameterslikethe candidateWIMPmassorthespecificdetailsoftheDMmodelare leftunbound.UnderthehypothesisthataWIMPcoincideswithits antiparticle,indirectsearchesforWIMPsarepossiblebydetecting a signature of WIMP annihilation into Standard Model particles. Suchsignalsare thereforesearchedfromthedirectionofmassive astrophysical environments, where WIMPs can be gravitationally attracted.DMbuildsupinandaroundmassivecelestialbodiesand gravitationalaccumulators, andis organized inhalos and clumps. Thedistributionofdarkmatterwithdensity
ρ
atagivensky loca-tion(r,
θ,
φ
)isdescribedthroughthe J -factorJ
=
d(θ, φ)
l.o.s.ρ
2(
s(
r, θ, φ))
ds,
(1)with
beingthesolid angleunderwhichthesourceisobserved, and
s the
radialcoordinateintegratedoverthelineofsight(l.
o.
s.
) (see [2] for a detaileddiscussion).For neutrinotelescopes,which haveaverybroadfieldofview,valuesaslargeas10◦−
30◦canbe consideredfortheopeninganglecharacterisingthesolidangle. Preferred locationswheredarkmatter ispredictedtoaccumulate are:
1. theGalacticCentre,havingthelargest J -factor; 2. massive,non-luminousgalaxieslikedwarfspheroidals; 3. theSunorothernearbyverymassivecelestialbodies. DM messengers for indirect searches are neutrinos,
γ
rays or charged cosmic rays (e+, p),¯
produced either as primary or as secondaryproductsofaWIMPpairannihilation,throughdifferent channels.TheGalacticCentreisnotonlyapromisingsourceforits large predictedDM density;it is alsoa target ofcomplementary searches for neutrinodetectors andγ
-ray telescopes,due to the lowsourcecontaminationthatwouldgivewaytoanunambiguous signal identification. Lastly,the GalacticCentre is ingood visibil-ityforneutrinotelescopeslocatedintheNorthernHemisphere(as will beclarifiedinSection 2),orforγ
-raytelescopes installedin theSouthernHemisphere.ThefluxofneutrinosreachingtheEarth froma WIMPpairannihilation canbe expressedasafunction ofthethermallyaveraged crosssection
σ
vforWIMP pair annihi-lation,oftheenergydistributionofoutcomingparticlesperWIMP paircollisiondN
/
dEν , andoftheDMdistribution representedby the J -factor: d(
Eν)
dEν=
1 4π
M2WIMPσ
v 2 dN(
Eν)
dEν J,
(2)wherethefactor1/2,usedinthisanalysis,holdsforself-conjugate WIMPs,andistobe replacedbyafactor1/4otherwise.Similarly, theterm1
/
M2WIMParisesfromthepresenceoftwoWIMPSinthe process,keepingintoaccountthatboththemassandthe volumet-ricdensityareexpressed inenergyunits.Through therelationin Equation (2), a measurement of the integratedneutrino and an-tineutrinofluxfromtheregionoftheGalacticCentreν+¯ν
=
dEνdν dEν
+
dEν¯dν¯ dEν¯ (3)
is converted into limits on the thermally averaged cross section
σ
vforWIMPpairannihilation.Alowerboundonthisquantityof 3·
10−26 cm3s−1 canbemadebaseduponcosmologyarguments [3].1.1. Directional and morphological information
Indirect searches for dark matter are unavoidably subject to largeuncertainties,mostlyarisingfromtheparameterisationofthe
unknown DM distribution. The spherically averaged DM density
profile
ρ
containedinthe J -factor (Equation (1))ismodelled ac-cordingtodifferentassumptions,leadingto considerablydifferent results.Themainassumptionsonρ
arebasedoncosmological N-bodysimulationresultsand/ordynamicalconstraintsontheMilky Way or spiral galaxies. Even if baryonic physics (star formation andfeedbacks)isnotfullyundercontrolinhydrodynamics simula-tions,thebaryonsmaysteepenorevenflattentheinnerbehaviour oftheDMprofile(see e.g.[4–7]).Alternatively,dynamicalstudies ofgalaxies show a large diversity inrotation curves [8] and can suggesta coredDMprofile [9,10].Apopular andsimple parame-terisationof the DMdensity obtained inpure (without baryons)DM cosmological simulations is the Navarro-Frenk-White (NFW)
profile[11]:
ρ
N F W(
r)
=
ρ
0 r rs 1+
rr s γ (4)with
γ
=
2. The NFW profile is adopted in the presentanalysis withρ
0=
1.
40·
107M/
kpc3 andr
s=
16.
1 kpc [12].Forthesake ofillustratingthoseDMdensityuncertainties,othertwocasesare considered:theprofilefromtherecentstudyofMcMillan[13] giv-ingan internal power lawr0.79±0.32, andtheBurkert profile [14] forwhichtheinnerdensityisconstant.1.2. Energy information
The energy distribution of a neutral massive particle pair-annihilatinginto Standard Model products can be effectively
de-scribed with a Monte Carlo generator such as PYTHIA or
HER-WIG[15,16]. The PPPC4 cookbook [17], used in this analysis, di-rectlyprovidesspectraforWIMPannihilationsintoStandardModel modeswhich arestraightforwardto adapttoanykindofindirect searches.
PPPC4 yields the energy distribution for an isotropic flux of Standard Model particles originated in the WIMP pair annihila-tionatthesource.Severalfinal statesoftheannihilationprocess, resulting in different decay modes (
τ
+τ
−, W+W−, bb, μ¯
+μ
−,ν
ν
¯
) have been simulated,evaluating the spectrum of the result-ingneutrinoflux,dNν
/
dEν , foreach WIMPmass.Eachchannel is consideredwitha100%branchingratio(BR).Notethatthematter densityintheGalacticCentreisnotenoughtocausedistortionsor absorptioneffectsinoutcomingneutrinospectra.Flavouroscillations occurbetweensource anddetectionpoint. ThethreeneutrinoflavoursareequallyproducedinWIMPpair an-nihilations,andthedata setconsidered hereonlycontains muon neutrinosrecordedatthedetector.Theoscillations
ν
e,
ντ into νμ,
aswell asthe lossofνμ into
the other two flavours,have been accounted for. The energy distribution of neutrino final states is therefore obtained from a modulated superposition of the three flavours, in the long-baseline approximation,1 with coefficients takenfrom[1].Neutrinosandantineutrinosaresymmetrically pro-ducedinWIMPannihilations,andaredetectedindistinctlyby cur-rentneutrinotelescopes. Thisanalysisisrestricted tomuon neu-trinoeventsatthedetector,aswillbedescribedinSection2.2. Detectoranddataset
ANTARES isan underwater Cherenkovdetectorsituatedin the
Mediterranean Sea 40 km offshore from Toulon. It is composed
of12detectionlinesinstrumentedwithphotomultipliertubes en-closed inoptical modules [18]. ANTARES data analysisallows for energy and directional reconstruction of charged particle tracks originatedfromaneutrinointeractionoccurringaroundthe detec-tor.Theverylargebackgroundofmuonsproducedinatmospheric interactions of cosmic rays is suppressed by considering events witharrivaldirectionscrossingtheEarth.Underthiscondition,the GalacticCentre,locatedatadeclinationof
−
29.
01◦,isvisiblefrom thedetectorlatitudeabout70% ofthetime[19].Inthispaper,11yearsofdatacollectedwithANTARESbetween
May2007andDecember2017are analysed,updatingupon prior
searches [20]. Signatures of neutrinos from DM annihilation are
searched for in a data sample composed of reconstructed muon
tracks originatingfrom chargedcurrent (CC) interactions of neu-trinos around the detector. A set of pre-selection cuts has been applied to discriminate these
νμ CC-induced
events fromatmo-spheric muon background; this first discrimination is based on
the zenith angle ofprovenience ofthe event andon the quality of thetrack reconstruction. Tracks are reconstructed inANTARES from the position andtimes of photomultiplier hits, recorded in generalfromdifferentdetectorlines. Thequality parameteris, in
thestandard approach,amaximumlikelihood
obtainedwitha
multi-line reconstruction fit [21]. At low energies, however, it is possible to best reconstructthose tracks hitting only one line of thedetectorusingasingle-linereconstruction[22];thisfitisbased ona
χ
2minimizationandtheχ
2valueservesasaqualityparam-eter. The single-line reconstruction is more efficient for energies
below
∼
100GeV.The parameters
and
χ
2 are used as quality indicator formulti-line andsingle-line tracks respectively. Additionally, an an-gular errorestimate
β
, provided by themulti-line reconstruction fit, has been considered. Variable cuts have been applied as re-ported in Table 1, and the values yielding best sensitivity have beenchosentounblindthedata,asexplainedlaterinsection3.1.This sample is composed of 8976 tracks reconstructed with
the multi-line algorithm and2522tracks withthe single-line al-gorithm recorded over 3170 days ofeffective livetime; note that in the text that follows the termneutrinos stands for
ν
+ ¯
ν
, as theevents generatedby their interactionsare seen indistinguish-ablyincurrentneutrinotelescopes.Tracks arereconstructedwith1 TheE/L dependencyoftheoscillationsareaveragedoutforGeV–TeVneutrino energiesoverthedistancebetweentheEarthandtheGalacticCentre.
4 A. Albert et al. / Physics Letters B 805 (2020) 135439
Table 1
Final selection criteria applied to the data set. The qualityof the multi-line reconstruction fit is evalu-atedbyalikelihoodandangularerrorestimateβ;
χ2characterisesthesingle-linefit;theangle
θis com-plementarytothezenith,suchthatcosθ >0 identifies anupgoing track,comingfromacrosstheEarth.
Fit Cut value
Multi-line >−5.2 Multi-line β <1◦ Single-line χ2<0.7
Both cosθ >0
an angular resolutionof theorder of 1◦ at theenergies relevant forthissearch[23].Givenitsgeometryandvolume,theANTARES telescopeisoptimisedforthedetectionofneutrinoswithenergies fromabout20GeVtoafewPeV.TheDManalysisis,therefore,in
themediumWIMPmassrange.TheamountofCherenkovphotons
induced along the paths of the propagating charged particles is proportionaltotheamountofdepositedenergyand,consequently, thenumber ofhit optical modules, NHITS,is a goodproxyofthe
neutrinoenergy
Eν .
A set of simulated data has been produced in
correspon-dencewiththeenvironmentalandtriggerconditionsofeachdata run [24],andhasbeenadaptedtothespecificDManalysisthrough theuseofweightsreproducingtheenergydistribution
dNν
/
dEν of eachWIMPannihilationchannel.Thesimulateddatausedforthis search containνμ CC
induced muons;thecontribution ofmuons fromντ
→
τ
andsubsequentτ
decayisnotconsideredinthe sim-ulatedsampleusedinthisanalysis.Thesearchisoptimisedonshuffled(blind)right-ascensiondata, which are unblinded after having established the best selection criteria. A newly releasedversion ofthe ANTARES reconstruction software[21,22] wasrun onthefull dataset.Withthenew pro-cessing andreconstruction of the data a considerable amountof livetime could be recovered withrespect to the previous 9-year study[20].
The search method used forthis analysisis the same asthat used in the previous study [20], keeping into account the cor-rectionofacomputation problemwhichaffectedtheprevious re-sults [20].
3. Method
The signal from DM annihilation is expected to appear as a cluster of neutrino events scattered around the position of the Galactic Centre according to the J -factor profile, whose energy distribution reproduces the WIMP annihilation spectra [17]. This spatial cluster ofsignal eventsis to be found overa background of atmospheric neutrinos [25]. Both background estimation and search optimisation useshuffled (blinded) realdata,by replacing
the right ascension value with a random value between0◦ and
360◦.Thisrandomshufflewashesoutanypossiblespatial cluster-ing in correspondenceto the source, permitting to use real data withfakecoordinatestoaccuratelydescribethebackground distri-butionofevents.
Foridentifying the signal, discriminating variables are the di-rectionofthereconstructed neutrinotrackandthe energyproxy, NHITS, whose normalised distributions are used asan input in a
likelihoodfunctionasprobabilitydensityfunctions(PDFs).The sig-nal PDF,
S
, is built from simulated data weighted according to theWIMPannihilationspectra[17];thebackgroundPDF,B
,is ob-tainedfromshuffleddata.Toassessthesignalsignificance,alarge numberofskymaps(pseudo-experiments)aregeneratedinjecting an variable number of signal events, ns, according to the signal PDF,overasetofN
=
ns+
nbgevents,withn
bg backgroundevents.Thetotalnumberofevents,N, isobtainedfromthetotalnumber oftracksinthe datasample.Thealgorithm usedtosearch foran excessofeventscomingfromtheregionofthe GalacticCentreis basedonanunbinnedlikelihoodfunction,
L
,associatedwitheach skymap(containingN events)
log
L
(
ns)
=
N i=1 log nsS
(ψ
i,
NiHITS,
qi)
+
nbgB
(δi,
NHITSi,
qi)−
nbg−
ns, (5)where
ψ
i istheangulardistanceofthei-th
eventfromthe Galac-tic Centre;δ
i,the Equatorial declinationof the i-th event; NiHITS, the numberoflight hitsrecordedby the detectorandassociated with the i-th reconstructed track, and qi, the quality of the re-construction. The likelihood maximisation returns thenumber of signal events, n∗s, found to belong to a cluster around the fixed coordinatesoftheGalacticCentre(α
,
δ
)=(266◦,−
29.
01◦).The sig-nificanceofaclusterisestablishedbytheteststatistics,TS,whichis a function of the ratio between the maximum and the pure
backgroundlikelihood T S
= −
logL
(
n ∗ s)
L
(
ns=
0)
.
(6)To determine the significance of the observed TS, a series of
pseudo-experimentsisgenerated.Thisisperformedby creatinga largenumberofskymapswithavariablenumberofinjectedsignal events,
n
s,andrunningamaximumlikelihoodalgorithmoneach, returning the fitted number of events n∗s for each of them. The numberofeventsineach setofpseudo-experimentsissubjectto fluctuationsfollowingaPoissondistribution.Toincludethiseffect, a transformationthroughaPoissonfunction,P
,isperformed, re-turningtheTSasafunctionofthePoissonianmeanμ
:P
(
T S(
μ
))
=
N n∗s=1P
T S(
n∗s)
P
(
n∗s,
μ
),
(7)where P
(
T S)
indicatestheTSdistribution.The main source of systematic uncertainties comes from the determinationoftheneutrinotrackdirection.Thetrack reconstruc-tion relies on the time resolution of the detector,dependent on thephotomultipliertimespread,onthecalibrationandonpossible spacemisalignmentofthedetectorlines.Theeffectofsystematic uncertainties was estimatedin aprevious analysis [23] toa total of15%. AGaussiansmearing of15%is appliedtothesignal PDFs toaccountfordetectorsystematics.
3.1. Sensitivity of the search method
FollowingNeyman’sprescription [26],anaverageupperlimiton thenumberofsignal eventsiscomputedfromthemedianofthe background test statistics T S0, compared with each distribution
P
(
T S)
foreach pseudo-experiment set.The sensitivity isdefined asthe90% C.L.upperlimitforameasurementequaltothemedian ofthebackgroundTSdistribution.Theanalysiscutsareoptimised to yieldthebestsensitivity(see Section2andvaluesreportedin Table 1). If, afterunblinding, a value smallerthan the medianof thebackgroundTSisobservedinthedata,limitsare setequalto thesensitivity.In case of a non-observation, a limit of the total number of signaleventsinthedata(
μ
90)isconvertedintoalimitonthein-tegratedflux,
ν+¯ν , throughtheacceptance,
A
,andthelivetime, t, asFig. 1. Upperlimitsat90% C.L.onthethermallyaveragedcrosssectionforWIMP pairannihilationasafunctionoftheWIMPcandidatemasssetwith11yearsof ANTARESdata,shownforfiveindependentannihilationchannels(eachwith100% branchingratio)andNFWhalomodel[11].
ν+¯ν
=
μ
90A
·
t.
(8)Theacceptanceisdefinedastheconvolutionoftheeffectivearea, Ae f f [23],witheachannihilationmodespectrum
dNν
/
dEν [17]:A
(
M)
=
M E0 Aνe f f(
Eν)
dNν(
Eν)
dEν dEν+ [
ν
→ ¯
ν
],
(9)where M is theconsidered WIMP mass, E0 theenergythreshold
ofthe detector,determined fromthe first non-empty bin of the effectivearea,and
[
ν
→ ¯
ν
]
indicatesasymmetrictermfor antineu-trinos.Thedetectoreffectiveareaincreaseswithenergyduetothe raisewithenergyoftheCCcrosssection,combinedwiththebetter trackdefinitionofhigh-energyevents,andwithanincreaseinthe muonrange,making suchthat partially containedtrackscanstill bemeasured.Theacceptancecalculationreliesonspectraprovided byPPPC4. The integratedflux ofEquation (8) isconverted intoa measurement (limit) on the thermallyaveraged cross section for WIMP annihilationσ
v using Equation (2), fora given J -factor assumingaspecificparameterisationoftheDMhalomodel.4. Results
Upon unblinding, the TS computed for 11 years of ANTARES
data is compatible with background. We observed a TS smaller
thanthe backgroundmedianforall cases(massesandchannels),
hence we set all limit values equal to the corresponding
sen-sitivities. This measurement sets limits on the cross section for
WIMP-pairannihilation shownin Fig.1 andcomputed according
toEquation (2). Thisfigureshowslimitsforthefivemost promi-nentWIMPpairannihilationchannels:
WIMP WIMP
→
bb¯
,
τ
+τ
−,
W+W−,
μ
+μ
−,
ν
ν
¯
(10)independentlycomputedwith100%BR. Thetotalamountofdark
matterwithina30◦anglearoundtheGalacticCentreistakeninto account,which correspondsto thesolid angle
inEquation (1). Bestlimitsareobtainedforthedirect
ν
ν
¯
channel,asseeninFig.1, whichhasthehighestacceptanceandthebestsensitivityinnum-ber of events, due to the shape of the energy spectrum which
peaks around the WIMP candidate mass; channels with steeply
fallingspectrasuchas
b
b give¯
theleaststringentlimits.Predictions onneutrinofluxesderiving fromDMannihilationstronglyrelyon theparameterisationof the J -factor, asmentioned inSection 1.1. Fig.2showsthe90% C.L.limitsonσ
vfortheτ
+τ
− channelforFig. 2. Upperlimitsat90% C.L.onthethermallyaveragedcrosssectionforWIMP
pairannihilationasafunctionoftheWIMPcandidatemasssetwith11yearsof ANTARESdataforthreedifferenthalomodels [11,13,14].Here,onlythe
τ
+τ− chan-nelisshown.Fig. 3. LimitsonthethermallyaveragedcrosssectionforWIMPpair-annihilation
setwith11yearsofANTARESdata,comparedwithcurrentsimilarsearchesfrom IceCube[27] andfrom
γ
-raytelescopesHESS[28],VERITAS[29] andFermi-LAT+ MAGIC[30].Allcurvesarefortheτ
+τ−benchmarkchannel.threedifferenthalomodels.TheNFWprofile [11] givespredictions overoneorderofmagnitudemorestringentthan
flat profiles
such asBurkert [14].Anintermediateresultisachievedforthe McMil-lanprofile[13] whichhasanintermediateinnerslope.Theresults presentedinthisworkrepresentan improvementrangingfroma factor1.1to1.4withrespecttotheprevious9-yearstudy[20], ac-cordingtotheWIMPmassandchannelconsidered.5. Discussionandconclusions
Limitsonthethermallyaveragedcrosssection
σ
vforDM an-nihilation towardstheGalacticCentre wereplacedusing11years ofANTARESdata.Someofthechannelsconsideredforthissearch alsoyieldγ γ
pairsasafinalproduct.Forthiscase,ANTARES lim-its are set in context withexisting limitsfromγ
-ray telescopes (Fig. 3) for theτ
+τ
− channel. In particular, the HESS Galactic Centresurvey[28] givesstrongconstraintsthankstothegood vis-ibility of this source from their location and to the prolonguedobservation campaign performed on this target. Note that both
theMAGICandtheVERITASdetectorsarelocatedintheNorthern
Hemisphere and thereforethey obtain their limitson the WIMP
pairannihilationcross sectionfroma campaignofobservationof dwarf spheroidal Galaxies [29,30], not having the possibility to lookdirectly intothe GalacticCentre, ifnot withspecial settings for large zenith angle observations (e.g. [31]) with reduced sen-sitivity. Halo modeling in dwarf spheroidalGalaxies is subjectto
6 A. Albert et al. / Physics Letters B 805 (2020) 135439
large uncertainties, andcomparison with the Galactic Centre re-sultsisthereforenotdirect.TheresultsshownforIceCube[27] are
obtained withDeep Core data, a configuration where the whole
IceCube detector acts as a veto for atmospheric muons. Because of the GalacticCentre visibility,this analysis is limitedto WIMP masses up to 1 TeV/c2. All results shown in Fig. 3 are obtained withtheNFWprofile,withtheexceptionoftheHESSresultwhich referstotheEinastoDMhalomodel[32].
ThecurrentsearchesfordarkmatterperformedwithANTARES willbe continuedwithKM3NeT,which willinstrumentatotal of about1km3ofdeep-seawater[33].KM3NeThasamodularlayout
consistingofblocksof115detectionlineseach.Twomodulesare beingdeployedinalargevolume(36minter-optical-modulesand 90 minter-line spacing) to form the ARCA high-energy detector, andone inadensergeometryinstrumentingasmallervolume(9 mbetweenopticalmodules and20minter-linespacing)to form theORCAlow-energydetector.AstheprescriptionsfortheWIMP candidatemassvaryoverabroadrangeofvalues,bothARCAand ORCAwillcontributetoDMsearches.
Declarationofcompetinginterest
Theauthorsdeclarethattheyhavenoknowncompeting finan-cialinterestsorpersonalrelationshipsthatcouldhaveappearedto influencetheworkreportedinthispaper.
Acknowledgements
The authors acknowledge the financial support of the
fund-ingagencies:CentreNationaldelaRechercheScientifique(CNRS), Commissariat à l’Énergie Atomique et aux Énergies Alternatives
(CEA),CommissionEuropéenne(FEDERfundandMarieCurie
Pro-gram), Institut Universitaire de France (IUF), IdEx program and
UnivEarthS Labexprogram atSorbonne ParisCité
(ANR-10-LABX-0023 and ANR-11-IDEX-0005-02), Labex OCEVU
(ANR-11-LABX-0060) and the A*MIDEX project (ANR-11-IDEX-0001-02), Région
Île-de-France (DIM-ACAV), Région Alsace (contrat CPER), Région
Provence-Alpes-Côte d’Azur, Département du Var and Ville de
La Seyne-sur-Mer, France; Bundesministerium für Bildung und
Forschung (BMBF), Germany; Instituto Nazionale di Fisica Nucle-are (INFN), Italy; Nederlandse Organisatie voor Wetenschappelijk
Onderzoek (NWO), the Netherlands; Council of the President of
the Russian Federationforyoung scientists and leading scientific schools supporting grants, Russia; Executive Unit for Financing Higher Education, Research,Development and Innovation (UEFIS-CDI),Romania; Ministerio de Ciencia, Innovación yUniversidades
(MCIU): Programa Estatal de Generación de Conocimiento (refs.
PGC2018-096663-B-C41, -A-C42, -B-C43, -B-C44) (MCIU/FEDER),
Severo Ochoa Centre of Excellence and MultiDark Consolider
(MCIU), Junta de Andalucía(ref. SOMM17/6104/UGR), Generalitat Valenciana: Grisolía (ref. GRISOLIA/2018/119), Spain; Ministry of Higher Education, Scientific Research and Training, Morocco. We alsoacknowledgethetechnicalsupportofIfremer,AIMandFoselev MarinefortheseaoperationandtheCC-IN2P3 forthecomputing facilities.
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