Contents lists available atScienceDirect
Physics
Letters
B
www.elsevier.com/locate/physletb
Measurement
of
angular
parameters
from
the
decay
B
0
→
K
∗
0
μ
+
μ
−
in
proton–proton
collisions
at
√
s
=
8 TeV
.
The
CMS
Collaboration
CERN,Switzerland
a
r
t
i
c
l
e
i
n
f
o
a
b
s
t
r
a
c
t
Articlehistory:
Received8October2017
Receivedinrevisedform22March2018 Accepted15April2018
Availableonline17April2018 Editor: M.Doser
Keywords:
CMS Physics B0decays
AngulardistributionsofthedecayB0→K∗0
μ
+μ
−arestudiedusingasampleofproton–protoncollisionsat√s=8 TeV collectedwiththeCMSdetectorattheLHC,correspondingtoanintegratedluminosityof 20.5 fb−1. Anangular analysis is performedto determine the P1 and P5 parameters,where the P5
parameterisofparticularinterestbecauseofrecentmeasurementsthatindicateapotentialdiscrepancy withthestandardmodelpredictions.Basedonasampleof1397signalevents,theP1and P5 parameters
aredeterminedasafunctionofthedimuoninvariantmasssquared.Themeasurementsareinagreement withpredictionsbasedonthestandardmodel.
©2018TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/).FundedbySCOAP3.
1. Introduction
Phenomenabeyondthestandardmodel(SM)ofparticlephysics canbecomemanifestdirectly,viatheproductionofnewparticles, or indirectly, by modifying the production and decay properties ofSMparticles.Analysesofflavor-changingneutral-currentdecays are particularly sensitive to the effects of new physics because thesedecays arehighly suppressedinthe SM.An exampleisthe decayB0
→
K∗0μ
+μ
−, whereK∗0 indicates the K∗0(
892)
meson, withthecharge-conjugatereactionimplied hereandelsewherein thisLetterunlessotherwisestated.Anangularanalysisofthis de-cayasafunctionofthedimuoninvariantmasssquared(
q2)
allows itspropertiestobethoroughlyinvestigated.Thedifferential decayrateforB0
→
K∗0μ
+μ
− canbe writtenin terms of q2 and three angular variables as a combination of spherical harmonics,weighted by q2-dependent angular parame-ters.Theseangularparametersinturndependuponcomplexdecay amplitudes,whicharedescribedbyWilsoncoefficientsinthe rele-vanteffectiveHamiltonian [1].Therecanbedifferentformulations oftheangularparameters.InthisLetterwepresentmeasurements oftheso-called P1 andP5parameters [2,3].
New physics can modify the valuesof these angular parame-ters [1,2,4–18] relativeto theSM [1,19–25].While previous mea-surementsof some oftheseparameters by theBaBar, Belle,CDF, CMS,andLHCbexperimentswerefoundtobeconsistentwiththe SMpredictions [26–31],the LHCbCollaborationrecentlyreported
E-mailaddress:cms-publication-committee-chair@cern.ch.
adiscrepancylargerthan3standarddeviationswithrespecttothe SMpredictionsfortheP5 parameter [32,33],andtheBelle Collab-orationreportedadiscrepancyalmostaslarge [34].
ThenewmeasurementsoftheP1 andP5angularparametersin B0
→
K∗0μ
+μ
− decayspresentedinthisLetterareperformed us-ing a sample of eventscollected in proton–proton(pp) collisions at a center-of-mass energy of 8 TeV with the CMS detector at the CERN LHC. The data correspond to an integrated luminosity of 20.
5±
0.
5 fb−1 [35]. The K∗0 mesonis reconstructedthroughits decay to K+
π
−, and the B0 meson by fitting to a commonvertex the tracks from two oppositely charged muon candidates andthe tracks fromthe K∗0 decay.The valuesof P1 and P5 are
measured by fitting the distributions of events as a function of threeangularvariables: theanglebetweenthe
μ
+ andtheB0 in the dimuonrestframe, the anglebetweenthe K+ andthe B0 in the K∗0 rest frame, and the angle betweenthe dimuon andtheKπ decayplanesintheB0 restframe.Themeasurementsare
per-formed in the q2 range from 1 to 19 GeV2. Data in the ranges
8
.
68<
q2<
10.
09 GeV2 and12.
90<
q2<
14.
18 GeV2 correspondtoB0
→
J/ψ
K∗0 andB0→ ψ
K∗0decays,respectively,andareused ascontrolsamples,sincetheyhavethesamefinalstateasthe non-resonantdecaysofinterest.Here,ψ
denotestheψ(
2S)
meson.CMS previously exploited the same data set used in this analysis to measure two other angular parameters in the B0
→
K∗0
μ
+μ
−decayasafunctionofq2:theforward–backwardasym-metry of the muons, AFB, and the K∗0 longitudinal
polariza-tion fraction, FL, as well as the differential branching fraction, d
B/
dq2 [31].Afterasimplificationofthetheoreticaldecayrateex-https://doi.org/10.1016/j.physletb.2018.04.030
0370-2693/©2018TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBYlicense(http://creativecommons.org/licenses/by/4.0/).Fundedby SCOAP3.
pression,thispreviousmeasurementwasperformedusingtwoout of the three angular variables. The analysiswas performed with a blindedprocedure: thedefinition offit strategy andits valida-tion,aswell asbackgrounddistribution determinationhavebeen performed on simulated samples, control region and signal side bands.The final fit on data hasbeen done at theend of valida-tion.TheanalysispresentedinthisLettershareswiththeprevious analysis,together withthedataset,thecriteriausedforselecting signalevents,whicharereportedinSection3forcompleteness. 2. TheCMSdetector
A detaileddescription ofthe CMS detector, together withthe coordinate system and the standard kinematic variables, can be found in Ref. [36]. The main detector components used in this analysisare the silicontracker and the muon detection systems. The silicontracker, positioned within a superconducting solenoid that provides an axial magnetic field of 3.8 T, consists of three pixel layers and ten strip layers (four of which have a stereo view)inthebarrelregion,accompaniedby similarpixelandstrip detectors in each endcap region, for a total pseudorapidity cov-erageof
|
η
|
<
2.
5.For trackswithtransverse momenta 1<
pT<
10 GeV and
|
η
|
<
1.
4,theresolutions aretypically1.5%in pT and25–90(45–150) μminthetransverse(longitudinal)impact param-eter [37]. Muons are measured in the range
|
η
|
<
2.
4 with de-tectionplanesmadeusingthreetechnologies:drifttubes,cathode strip chambers, andresistive platechambers. The probability for apion,kaon,orprotontobemisidentifiedasamuonislessthan 2.
5×
10−3,0.
5×
10−3,and0.
6×
10−3,respectively,forpT
>
4 GeVand
|
η
|
<
2.
4. The muon identification efficiency is greater than 0.80(0.98)forpT>
3.
5 GeV and|
η
|
<
1.
2 (1.
2<
|
η
|
<
2.
4) [38].In additiontothetrackerandmuondetectors,CMSisequippedwith electromagneticandhadroniccalorimeters.Events are selectedusing a two-leveltrigger system [39]. The first level consists of specialized hardware processors that use information from the calorimeters and muon systems to select events of interest at a rate of around 90 kHz. A high-level trig-gerprocessor farm further decreases the event rateto lessthan 1 kHzbeforedatastorage.
3. Reconstruction,eventselection,andefficiency
The criteria used to select the candidate events during data taking(trigger) andafter full eventreconstruction (offline) make useoftherelativelylonglifetimeofB0 mesons,whichleadsthem todecay an averageof about1 mmfromtheir productionpoint. Thetriggerusesonlymuoninformationtoselectevents,whilethe offlineselectionincludesthefullreconstructionofalldecay prod-ucts.
All eventsused in thisanalysiswere recordedwith the same trigger,requiringtwoidentifiedmuonsofoppositechargetoform avertexthatisdisplacedfromtheppcollisionregion(beamspot). Multiple pp collisions in the same or nearby beam crossings (pileup)causemultipleverticesinthesameevent. Thebeamspot position (the most probablecollision point) and size (the extent ofthe luminousregion covering68% ofthe collisions ineach di-mension) were continuously measured through Gaussian fits to reconstructed pileup vertices as part of the online data quality monitoring.ThetriggerrequiredeachmuontohavepT
>
3.
5 GeV,|
η
|
<
2.
2,andtopass within2 cm ofthebeamaxis.Thedimuon systemwas requiredtohave pT>
6.
9 GeV,a vertexfitχ
2prob-abilitylarger than10%, anda separationofthe vertexrelativeto the beamspot in the transverse plane of at least3 standard de-viations, wherethecalculationofthe standarddeviationincludes thecalculateduncertaintyinthevertexpositionandthemeasured
size of the beamspot.In addition, the cosineof the anglein the transverse planebetweenthe dimuonmomentumvector andthe vector from the beamspotto the dimuon vertexwas required to begreaterthan0.9.
The offline reconstruction requires at least two oppositely chargedmuonsandatleasttwo oppositely chargedhadrons. The muonsare requiredto matchthose that triggeredthe event. The matching is performed by requiring an offline muon to match a trigger-levelmuonwithin
R
=
√
(
η
)
2+ (φ)
2<
0.
1,whereη
andφ
are the pseudorapidity and azimuthal angle differences, respectively, between the directions of the trigger-level and of-flinemuons.Offlinemuonsmust,inaddition,satisfygeneralmuon identification requirements. For example, the muon track candi-datefromthesilicontrackermustmatchatracksegmentfromthe muondetector,theχ
2 perdegreeoffreedominaglobalfittothesilicontrackerandmuondetectorhitsmustbelessthan1.9,there mustbeatleastsixsilicontrackerhits,includingatleasttwofrom thepixeldetector,andthetransverse(longitudinal)impact param-eter withrespect to the beamspot mustbe lessthan 3 (30) cm. Theseselection criteriaarechosen tooptimizethemuon identifi-cationefficiencyasmeasuredusingJ
/ψ
→
μ
+μ
− decaysindata. The dimuon system atthe offline level is requiredto satisfy the samerequirementsasspecifiedaboveforthetriggerlevel.The charged hadron candidates are requiredto fail themuon identificationcriteria,havepT
>
0.
8 GeV,andanextrapolated dis-tance d of closest approach to the beamspot in the transverse planegreaterthantwicethesuminquadratureoftheuncertaintyind andthebeamspottransversesize.Foratleastoneofthetwo
possible identity assignments—thatthepositively chargedhadron isakaonandthenegativelychargedhadronapion,orviceversa— the invariant mass of the hadron pair must lie within 90 MeV of the nominal K∗0 mass [40]. To remove contamination from
φ (
1020)
→
K+K− decays,wetemporarilyassignthekaonmassto bothchargedhadrons,andtheneliminatethecandidateifthe re-sulting invariant massof thehadron pair islessthan 1.035 GeV. The B0 candidatesare obtainedbyfittingthe fourchargedtracksto acommonvertex,andapplyingavertexconstrainttoimprove the resolution of the track parameters. The B0 candidates must have pT
>
8 GeV,|
η
|
<
2.
2, vertexfitχ
2 probability larger than10%, vertex transverse separation L from the beamspot greater than 12 times the sum in quadrature of the uncertainty in L
and the beamspot transverse size, and cos
α
xy>
0.
9994, whereα
xy istheanglein thetransverseplane betweenthe B0 momen-tum vector andthe line-of-flight between thebeamspot and the B0 vertex. The invariant mass m of the B0 candidate must liewithin 280 MeV of the nominal B0 mass
(
mB0)
[40] for eitherthe K−
π
+μ
+μ
− or K+π
−μ
+μ
− possibility. The selection crite-riaareoptimizedusingsignaleventsamplesfromsimulationand backgroundeventsamplesfromsidebanddatainm.Thesideband includes both a low- and a high-mass region and is definedby 3σm<
|
m−
mB0|
<
280 MeV, whereσ
m is theaverage mass res-olution (≈
45 MeV)obtainedfrom fittinga sum oftwo Gaussian functionswitha commonmean tosimulatedsignal events.After applying theselection criteria,about5% ofthe eventshavemore thanonecandidate.A singlecandidateischosenbasedonthebest B0vertexχ
2 probability.For each ofthe selected events, thedimuon invariant mass q
anditsuncertainty
σ
q arecalculated.WedefineB0→
J/ψ
K∗0and B0→ ψ
K∗0controlsamplesthroughtherequirements|
q−
mJ/ψ
|
<
3σqand
|
q−
mψ|
<
3σq,respectively,wheremJ/ψandmψ arethenominalmasses [40] oftheindicatedmeson.Theaveragevalueof
σ
qisabout26 MeV.The remaining eventsample still contains contributions from B0
→
J/ψ
K∗0 andB0→ ψ
K∗0 decays,mainlybecauseof unrecon-structed softphotonsinthecharmoniumdecay,i.e., J/ψ
orψ
→
μ
+μ
−γ
.Theseeventshavealow value ofq andfalloutsidethe control sample selection described above. They also have a low value of m and can be selectively removed using a combined requirement on q and m. For q<
mJ/ψ(
q>
mJ/ψ)
, we require|(
m−
mB0)
−(
q−
mJ/ψ)
|
>
160(
60)
MeV.Forq<
mψ(
q>
mψ)
,werequire
|(
m−
mB0)
− (
q−
mψ)
|
>
60(
30)
MeV.UsingMonteCarlo(MC)simulation,theserequirementsweresetsothatlessthan10% ofthebackgroundeventsoriginatefromthecontrolchannels.
Toavoidbias,theoptimizationoftheselectioncriteria,andthe fit strategy described below in Section 4, are determined before datain the signal region are examined. The selection criteriado not depend on the choice of the primary vertex, andtheir opti-mizationproceduremakesuseofbothMCsimulatedsignalevents generatedwiththe samepileupdistributionasindata,and side-banddata.Afterapplyingtheserequirements,3191eventsremain. Theselected four-track vertexis identified asa B0 orB0 can-didatedepending onwhethertheK+
π
− orK−π
+ invariantmass isclosesttothenominalK∗0 mass.The fractionofcandidates as-signed to the incorrect state is estimatedfrom simulation to be 12–14%,dependingon q2.Theglobalefficiency,
,istheproductoftheacceptanceandthe combinedtrigger, reconstruction, and selection efficiencies, all of whichareobtainedfromMCsimulatedeventsamples.Thepp col-lisionsaresimulatedusingthe pythia [41] eventgenerator,version 6.424,with particledecaysdescribed bythe evtgen [42] genera-tor, version 9.1, in which final-state radiation is generated using photos[43]. Thedefaultmatrixelement in pythia isusedto de-scribetheevents.The simulatedparticlesarepropagated through adetailedmodelofthedetectorbasedon Geant4 [44].The recon-structionandselectionofthegeneratedeventsproceedasforthe data.Separate samples of events are generated for B0 decays to K∗0
μ
+μ
−,J/ψ
K∗0,andψ
K∗0,withK∗0→
K+π
− andboth J/ψ
and
ψ
decayingtoμ
+μ
−.Thedistributionofppcollisionvertices ineachsampleisadjustedtomatchtheobserveddistribution.Theacceptanceisobtainedfromgenerator-levelevents,i.e., be-forethe particle propagationwith Geant4,and isdefined asthe fractionofeventswithpT
(
B0) >
8 GeV and|
η
(
B0)
|
<
2.
2 thatsat-isfythesingle-muonrequirements pT
(
μ
) >
3.
3 GeV and|
η
(
μ
)
|
<
2
.
3.Thesecriteriaarelessrestrictivethanthefinalselection crite-riainordertoaccountforfinitedetectorresolution,sincetheyare appliedtogenerator-levelquantities.Onlyeventssatisfyingthe ac-ceptancecriteriaareprocessedthroughthe Geant4simulation,the triggersimulation,andthereconstructionsoftware.The combined trigger, reconstruction, and selection efficiency is given by the ratio of the number of events that satisfy the trigger and selection requirements and have a reconstructed B0
candidatecompatiblewith agenerated B0 meson, relativeto the numberof eventsthat satisfy the acceptance criteria. The gener-atedandreconstructedB0 are consideredto becompatibleifthe
reconstructedK+ candidate appears withina distance
R ofthe generated K+ meson, andanalogously forthe
π
−,μ
+, andμ
−, whereR
=
0.
3 for thehadronsandR
=
0.
004 forthe muons. Requiringallfourparticles intheB0 decayto bematchedresultsinan efficiency of99.6% (0.4% ofthe eventshave a correctly re-constructed B0 candidate that is not matched to a generated B0
meson)andapurityof99.5%(0.5%ofthematchedcandidatesdo notcorrespondtoacorrectlyreconstructedB0candidate). Efficien-ciesare determinedfor bothcorrectlytagged (the K and
π
have the correctcharge) andmistagged (the K andπ
charges are re-versed)candidates.3.1.Backgroundstudies
Using simulation, we search for possible backgrounds that might peak in the B0 mass region. The event selection is
ap-plied to inclusive MC samples of B0, B
s, B+, and
b decays to
J
/ψ
X andψ
X, where X denotes all of the exclusive decay channels found in the PDG [40], and with the J/ψ
andψ
de-caying toμ
+μ
−. No evidence for a peaking structure near the B0 massisfound.The distributions ofthefeweventsthat satisfy the selection criteria are similar to the shape of the combinato-rial background.Asan additionalcheck, we generateeventswith Bs→
K∗0(
K+π
−)
μ
+μ
−decays.Assumingthattheratioofbranch-ing fractions
B(
Bs→
J/ψ
K∗0)/
B(
B0→
J/ψ
K∗0)
≈
10−2 [40], lessthanoneeventpassesourselectioncriteria.
Possiblebackgroundsfromeventswithtwohadrons misidenti-fiedasmuons,inparticularfromthehadronicfullyreconstructable B0
→
DX decays, are suppressed by the misidentificationprob-ability (10−3
×
10−3), and are thus considered negligible. Also,events from B0
→
J/ψ
K∗0 decays, where a muon and a hadronare swapped, are suppressedby the hadron-to-muon misidentifi-cation probability (10−3) and by the muon-to-hadron identifica-tioninefficiency(10−1).Infact,giventheamountofreconstructed B0
→
J/ψ
K∗0 events(165 k),weexpect≈
16 eventsdistributedin thetwoadjacentq2 binsclosetotheJ/ψ
controlregion.Backgrounds from semileptonic decays such as B0
→
D−π
+,B0
→
D−K+,and B0→
D−μ
+ν
μ, where D− decays to K∗0
μ
−ν
μandK∗0 toK+
π
−,arealsostudiedusingsimulation.Weestimateindatalessthanoneeventforeachofthethreedecayspopulating thelow-mass sideband.All thesepotential sources ofbackground are evaluated in the whole q2 range, excluding the J
/ψ
andψ
controlregions,andarefoundtobenegligible.
TheimpactofotherpartiallyreconstructedmultibodyB decays thatmightaffectthelow-masssidebandisaddressedinSection5. Backgrounds fromeventsinwhich aB+
→
K+μ
+μ
− decayis combined with a random pion, and from events with ab
→
0
μ
+μ
− decay, where0 decays to p K, in which the proton is assigned the pion mass, are found to be negligible. In fact, both processes are flavor-changing neutral-current decays, there-foretheyhaveacomparablebranchingfractiontooursignal pro-cess. The former decayhas atheoretical lower bound on the in-variant mass that lies at
≈
5.
41 GeV. We search in data for an invariantmasspeakaroundtheB+world-averagemassafter com-putingtheinvariantmassforbothK+μ
+μ
− andK−μ
+μ
− possi-bilities ineventswith 5.
41−
σ
m<
m<
mB0+
0.
280 GeV, butnoevidence ofsuch apeak is found.Forthe latterdecaywe search indata foran invariant mass peakaround the
b world-average
massafterassigningtheprotonmasstothetrackpreviously iden-tifiedasapion.Alsointhiscase,noevidenceofapeakisfound. Indeed,thesimulationshowsthatlessthanoneeventisexpected topassourselectionrequirements.
4. Analysismethod
ThisanalysismeasurestheP1andP5 valuesinB0
→
K∗0μ
+μ
−decaysasa function ofq2.Fig.1 illustrates theangularvariables neededto describe the decay:
θ
isthe angle betweentheposi-tive(negative)muonmomentumandthedirectionoppositetothe B0
B0momentuminthedimuonrestframe,θ
K istheangle
be-tween thekaonmomentum andthedirectionopposite to theB0
B0
momentum in the K∗0 K∗0 rest frame, andϕ
is the an-gle between the plane containing the two muons andthe plane containing the kaonandthe pioninthe B0 restframe. AlthoughtheK+
π
− invariantmassisrequiredtobeconsistentwiththatof a K∗0 meson, there canbe a contributionfrom spinless(S-wave) K+π
− combinations [25,45–47]. This is parametrized withthree terms: FS, which is related to the S-wave fraction, and AS andA5
P-Fig. 1. Illustration of the angular variablesθ(left),θK(middle), andϕ(right) for the decay B0→K∗0(K+π−)μ+μ−.
wavedecays.Includingthesecomponents,theangulardistribution ofB0
→
K∗0μ
+μ
−decayscanbewrittenas [25]:1 d
/
dq2 d4dq2dcos
θ
dcosθ
Kdϕ
=
9 8π
2 3(
FS+
AScosθ
K)
1−
cos2θ
+
A5S1−
cos2θ
K 1−
cos2θ
cosϕ
+ (
1−
FS)
2 FLcos2θ
K 1−
cos2θ
+
1 2(
1−
FL)
1−
cos2θ
K1
+
cos2θ
+
1 2P1(
1−
FL)
(
1−
cos2θ
K)(
1−
cos2θ
)
cos 2ϕ
+
2 P5cosθ
K FL(
1−
FL)
1−
cos2θ
K 1−
cos2θ
cosϕ
,
(1)whereFLdenotesthelongitudinalpolarizationfractionoftheK∗0.
Thisexpression is an exact simplificationof the full angular dis-tribution,obtainedbyfoldingthe
ϕ
andθ
anglesaboutzeroandπ
/
2,respectively.Specifically,ifϕ
<
0,thenϕ
→ −
ϕ,
andthenewϕ
domainis[0,π
].Ifθ
>
π
/
2,thenθ
→
π
− θ
,andthe newθ
domain is [0,π/
2]. We use thissimplified version of theex-pressionbecauseofdifficultiesinthefitconvergencewiththefull angular distribution due to the limited size of the data sample. Thissimplificationexploitstheoddsymmetryoftheangular vari-ableswithrespect to
ϕ
=
0 andθ
=
π
/
2 in sucha mannerthatthecancellationaroundtheseangularvaluesisexact.This cancel-lation remains approximately valideven after accounting forthe experimentalacceptancebecausetheefficiencyissymmetricwith respecttothefoldingangles.
Foreachq2 bin,theobservablesofinterest areextractedfrom an unbinned extended maximum-likelihood fit to four variables: theK+
π
−μ
+μ
−invariantmassm andthethreeangularvariablesθ
,θ
K,andϕ
.Theunnormalizedprobabilitydensityfunction(pdf)ineachq2binhasthefollowingform:
(
m, θ
K, θ
,
ϕ
)
=
YSC SC(
m)
Sa(θ
K, θ
,
ϕ
)
C
(θ
K, θ
,
ϕ
)
+
fM 1−
fM S M(
m)
Sa(
−θ
K,
−θ
,
ϕ
)
M
(θ
K, θ
,
ϕ
)
+
YBBm(
m)
BθK(θ
K)
Bθ(θ
)
Bϕ(
ϕ
),
(2)where the three terms on the righthand side correspond to cor-rectly tagged signal events, mistagged signal events, and back-ground events.The parameters YCS and YB are the yields of cor-rectly tagged signal events and background events, respectively, and are determined in the fit.The parameter fM is the fraction of signal eventsthat are mistaggedandis determined from sim-ulation.Its valuerangesfrom0.124to0.137depending ontheq2
bin.
The signal mass probability functions SC
(
m)
and SM(
m)
are each the sum of two Gaussian functions, with a common mean for all four Gaussian functions, and describe the mass distribu-tionforcorrectlytaggedandmistaggedsignalevents,respectively. In the fit,the mean,the four Gaussian function’s width parame-ters, andthetwo fractions specifyingthe relative contributionof the two Gaussian functionsin SC(
m)
and SM(
m)
are determined fromsimulation.Thefunction Sa(θ
K
,
θ
, ϕ)
describesthesignalinthethree-dimensional(3D)spaceoftheangularvariablesand cor-responds toEq. (1). Thecombination Bm
(
m)
BθK(θ
K
)
Bθ(θ
)
Bϕ(
ϕ
)
is obtained from the B0 sideband data in m and describes the background inthespace of
(
m,
θ
K,
θ
, ϕ)
,where Bm(
m)
isanex-ponentialfunction,BθK
(θ
K
)
andBθ(θ
)
aresecond- tofourth-orderpolynomials, depending on theq2 bin,and Bϕ
(
ϕ
)
isa first-order polynomial.Thefactorizationassumptionofthebackgroundpdfin Eq. (2) isvalidatedbydividingtherangeofanangularvariableinto two atitscenter pointandcomparingthedistributions ofevents fromthetwohalvesintheotherangularvariables.Thefunctions
C
(θ
K
,
θ
, ϕ)
andM
(θ
K,
θ
, ϕ)
aretheefficienciesinthe 3Dspaceof
|
cosθ
K|
≤
1, 0≤
cosθ
≤
1,and0≤
ϕ
≤
π
forcorrectlytaggedandmistaggedsignalevents,respectively.The nu-meratoranddenominatoroftheefficiencyareseparatelydescribed withanonparametrictechnique,whichisimplementedwitha ker-neldensityestimator [48,49].Thefinalefficiencydistributionsused in the fit are obtained from the ratio of 3D histograms derived fromthesamplingofthekerneldensityestimators.Thehistograms have 40bins ineach dimension.A consistency checkof the pro-cedure used todeterminethe efficiencyisperformedby dividing thesimulateddatasample intotwoindependentsubsets,and ex-tracting the angular parameters from the first subset using the efficiency computed from the second subset. The efficiencies for both correctly tagged and mistagged events peak at cos
θ
≈
0,aroundwhichtheyarerathersymmetricforq2
<
10 GeV2,andareapproximatelyflatin
ϕ
.Theefficiencyforcorrectlytaggedevents becomesrelativelyflatincosθ
forlargervaluesofq2,whileithasamonotonicdecreaseforincreasingcos
θ
Kvaluesforq2<
14 GeV2.Forlargervaluesofq2 adecreaseintheefficiencyisalsoseennear cos
θ
K= −
1.Theefficiencyformistaggedeventshasaminimumatcos
θ
≈
0 forq2>
10 GeV2,whileitismaximalnearcosθ
K=
0 for q2<
10 GeV2.Forlargevaluesofq2 amildmaximumalsoappearsThefitisperformedintwosteps.Theinitialfitdoesnotinclude asignalcomponentandusesthesidebanddatainm toobtainthe
Bm
(
m)
,BθK(θ
K
)
,Bθ(θ
)
,andBϕ(
ϕ
)
distributions.Thedistributionsobtainedin thisstep arethen fixedforthesecond step,whichis afittothedataoverthefullmassrange.Thefittedparametersin thesecond step are the angularparameters P1, P5,and A5S, and theyields YSC and YB. Toavoiddifficulties inthe convergenceof thefitrelatedtothelimitednumberofevents,theangular param-etersFL, FS,andASarefixedtopreviousmeasurements [31].
The expression describing the angular distribution of B0
→
K∗0μ
+μ
− decays, Eq. (1), and also its more general form in Ref. [25], can become negative for certain values of the angular parameters.Inparticular, thepdf inEq. (2) isonly guaranteedto bepositiveforaparticularsubsetofthe P1, P5,andA5Sparameter space. The presence of such a boundary greatly complicates the numericalmaximization process ofthe likelihoodby minuit [50] andespecially the error determination by minos [50], in partic-ularnearthe boundarybetweenphysicalandunphysical regions. Therefore,thesecondfitstepisperformedby discretizingthe P1,P5 two-dimensionalspaceandbymaximizing thelikelihoodasa functionofthenuisanceparametersYCS,YB,andA5Satfixedvalues ofP1 andP5.Finally,thedistributionofthelikelihoodvaluesisfit witha bivariate Gaussian distribution. The position of the maxi-mum of thisdistribution inside the physicalregion provides the measurementsof P1andP5.
The interference terms AS and A5S must vanish if either of thetwointerfering componentsvanish.Theseconstraintsare im-plemented by requiring
|
AS|
<
√
12FS(
1−
FS)
FLf and|
A5S|
<
√
3FS
(
1−
FS)(
1−
FL)(
1+
P1)
f , where f is aratiorelatedtotheS- andP-wavelineshapes,calculatedtobe0.89neartheK∗0
me-sonmass [25].Theconstrainton ASisnaturallysatisfiedsince FS,
FL,andAS aretakenfrompreviousmeasurements [31].
Toensurecorrectcoverage fortheuncertainties, theFeldman– Cousinsmethod [51] isusedwithnuisanceparameters.Twomain setsofpseudo-experimentalsamplesaregenerated.Thefirst (sec-ond)set,usedto computethe coverage for P1 ( P5), isgenerated byassigningvaluestotheotherparameters asobtainedby profil-ingthebivariateGaussiandistributiondescriptionofthelikelihood determined from data at fixed P1 ( P5) values. When fitting the
pseudo-experimental samples, the same fit procedure as applied tothedataisused.
The fit formalism and results are validated through fits to pseudo-experimentalsamples,MCsimulationsamples,andcontrol channels. Additional details, including the size of the systematic uncertainties assignedonthe basis ofthesefits,are described in Section5.
5. Systematicuncertainties
The systematic uncertainty studies are described below and summarizedinTable1inthesameorder.
The adequacy of the fit function and the procedure to deter-minetheparametersofinterestarevalidatedinthreeways.First, alarge, statisticallyprecise MC signal samplewithapproximately 400timesthenumberofeventsasthedataisusedtoverifythat the fitting procedure produces results consistent with the input values to the simulation. The difference between the input and output valuesin thischeck isassigned asa simulation mismod-elingsystematicuncertainty.Itisalsoverifiedthatfittingasample withonly either correctly taggedor mistagged events yields the correct results. Second, 200 subsamples are extracted randomly fromthelarge MCsignal sample andcombinedwithbackground eventsobtainedfromthepdfinEq. (2) tomimicindependentdata sets ofsimilar size to the data.These are used to estimate a fit
Table 1
Systematic uncertaintiesinP1 and P5. Foreachsource, therangeindicatesthe
variationoverthebinsinq2.
Source P1(×10−3) P5(×10−3)
Simulation mismodeling 1–33 10–23
Fit bias 5–78 10–120
Finite size of simulated samples 29–73 31–110
Efficiency 17–100 5–65 Kπmistagging 8–110 6–66 Background distribution 12–70 10–51 Mass distribution 12 19 Feed-through background 4–12 3–24 FL, FS, ASuncertainty propagation 0–210 0–210 Angular resolution 2–68 0.1–12 Total 100–230 70–250
bias by comparing the average values of the results obtainedby fittingthe 200samplesto theresultsobtained usingthefull MC signalsample. Muchoftheobservedbiasisaconsequenceofthe fittedparameterslyingclosetotheboundariesofthephysical re-gion.Third,200pseudo-experiments, eachwiththesamenumber ofevents asthedatasample, are generatedineach q2 binusing the pdf in Eq. (2), with parameters obtained fromthe fitto the data.Fits to these200samples donot reveal anyadditional sys-tematicuncertainty.
Because the efficiency functions are estimated from a finite number of simulated events, there is a corresponding statistical uncertaintyinthe efficiency.Alternativesto thedefaultefficiency functionareobtainedbygenerating100newdistributionsforthe numerator andthe denominator of the efficiency ratiobased on thedefaultkerneldensityestimators aspdfs, andrederivingnew kerneldensityestimatorsforeachtrial.Theeffectofthese differ-entefficiencyfunctionsonthefinal resultisusedtoestimate the systematicuncertainty.
Theefficiencydeterminationischeckedbycomparing efficien-cy-corrected resultsobtained fromthe control channelswith the corresponding world-average values. The B0
→
J/ψ
K∗0 control sample contains165 000events,comparedwith11 000eventsfor the B0→ ψ
K∗0 sample. Because of its greater statisticalpreci-sion, we rely on the B0
→
J/ψ
K∗0 sample to perform the checkof the efficiency determination for the angular variables. We do thisby measuringthe longitudinalpolarization fraction FLin the B0
→
J/ψ
K∗0 decays.Wefind FL=
0.
537±
0.
002(
stat)
,compared with the world-average value 0.
571±
0.
007(
stat+
syst)
[40]. The difference of 0.
034 is propagated to P1 and P5 bytak-ing the root-mean-square (RMS) of the respective distributions resulting from refitting the data 200 times, varying FL within a Gaussian distribution with a standard deviation of 0.034. As a cross-check that the overall efficiency is not affected by a
q2-dependent offset, we measure the ratio of branching
frac-tions
B(
B0→ ψ
K∗0)/B(
B0→
J/ψ
K∗0)
=
0.
480±
0.
008(
stat)
±
0
.
055(
Rμμψ)
, by means of efficiency-corrected yields including bothcorrectlyandwrongly taggedevents(thesamecentralvalue is obtainedalsoseparately forthetwo subsets ofevents), where Rμμψ refers to the ratioB(
J/ψ
→
μ
+μ
−)/
B(ψ
→
μ
+μ
−)
of branching fractions. Thisis compared tothe world-average value 0.
484±
0.
018(
stat)
±
0.
011(
syst)
±
0.
012(
Reeψ)
[40],where Reeψ refers to the corresponding ratioof branching fractions to e+e−. Thetworesultsareseentoagreewithintheuncertainties.Toevaluatetheuncertaintyinthemistagfraction fM,weallow thisfractiontovaryinafittotheeventsintheB0
→
J/ψ
K∗0 con-trolsample. We find fM= (
14.
5±
0.
5)
%, compared to theresult fromsimulation(
13.
7±
0.
1)
%.Thedifferenceof0.8ispropagated to P1 and P5 bydetermining theRMSofthe respectivedistribu-Fig. 2. InvariantmassandangulardistributionsofK+π−μ+μ−eventsfor(uppertworows)2<q2<4.3 GeV2
and(lowertworows)4.3<q2<6 GeV2
.Theprojectionof theresultsfromthetotalfit,aswellasforcorrectlytaggedsignalevents,mistaggedsignalevents,andbackgroundevents,arealsoshown.Theverticalbarsindicatethe statisticaluncertainties.
tionsobtainedfromrefittingthedata10times,varying fM within aGaussiandistributionwithastandarddeviationof 0.8.
Thesystematicuncertainty associatedwiththefunctionsused to model the angular distribution of the background is obtained fromthestatisticaluncertaintyinthebackgroundshape,asthese shapes are fixed in the final fit. This uncertainty is determined byfittingthe data200times,varying thebackgroundparameters withintheirGaussianuncertainties,andtakingtheRMSofthe an-gular parameter values as the systematic uncertainty. Moreover, for the q2 binreported in Fig. 2, upper two rows, which shows anexcessaround cos
θ
≈
0.
7 thatisalsopresentinthesidebanddistribution(notshowninthefigure), werefitthedatausing
dif-ferent descriptionsofthe backgroundasafunction ofcos
θ
.Thedifferencesinthemeasurementof P1 and P5 arewithin the
sys-tematicuncertaintyquotedforthebackgrounddistribution. The low-mass sideband might contain partially reconstructed multibody B0 decays.Wetestthispossibilitybyrefittingthedata
with a restricted range for the low-mass sideband, i.e., starting from
≈
5.
1 insteadof≈
5 GeV.Nosignificantdifferencesareseen inthemeasurementofP1andP5,andthereforenosystematicun-certaintyisassigned.
Toevaluatethesystematicuncertaintyassociatedwiththe sig-nal mass pdfs SC
(
m)
and SM(
m)
, we fit the B0→
J/ψ
K∗0 and B0→ ψ
K∗0 control samplesallowing two ofthe widthvaluesinTable 2
Themeasured signalyields,whichincludebothcorrectlytaggedandmistaggedevents,the P1 and P5 values,andthecorrelationcoefficients,inbinsofq2,forB0→
K∗0μ+μ−decays.Thefirstuncertaintyisstatisticalandthesecondissystematic.Thebinrangesareselectedtoallowcomparisonwithpreviousmeasurements.
q2(GeV2) Signal yield P
1 P5 Correlations 1.00–2.00 80±12 +0.12+0.46 −0.47±0.10 +0.10+ 0.32 −0.31±0.07 −0.0526 2.00–4.30 145±16 −0.69+0.58 −0.27±0.23 −0.57+ 0.34 −0.31±0.18 −0.0452 4.30–6.00 119±14 +0.53−+00..2433±0.19 −0.96+ 0.22 −0.21±0.25 +0.4715 6.00–8.68 247±21 −0.47−+00..2723±0.15 −0.64+ 0.15 −0.19±0.13 +0.0761 10.09–12.86 354±23 −0.53−+00..2014±0.15 −0.69+ 0.11 −0.14±0.13 +0.6077 14.18–16.00 213±17 −0.33+0.24 −0.23±0.20 −0.66+ 0.13 −0.20±0.18 +0.4188 16.00–19.00 239±19 −0.53±0.19±0.16 −0.56±0.12±0.07 +0.4621
Fig. 3. CMSmeasurementsofthe(left)P1and(right)P5angularparametersversusq2forB0→K∗0μ+μ−decays,incomparisontoresultsfromtheLHCb [33] andBelle [34]
Collaborations.Thestatisticaluncertaintiesareshownbytheinnerverticalbars,whiletheouterverticalbarsgivethetotaluncertainties.Thehorizontalbarsshowthebin widths.TheverticalshadedregionscorrespondtotheJ/ψandψresonances.ThehatchedregionshowsthepredictionfromSMcalculationsdescribedinthetext,averaged overeachq2bin.
thefourGaussian termstovary atatime. Themaximumchange inP1andP5foreitherofthetwocontrolchannelsistakenasthe
systematicuncertaintyforallq2 bins.
Theq2 binjustbelowtheJ
/ψ
(ψ
) controlregion,andtheq2bin just above, may be contaminated with B0
→
J/ψ
K∗0 (B0→
ψ
K∗0) “feed-through”events that arenot removed by the selec-tion procedure. A special fit in these two bins is performed, in which an additional background term is added to the pdf. This backgrounddistribution isobtainedfrom simulatedB0→
J/ψ
K∗0(B0
→ ψ
K∗0)events,withthebackgroundyieldasafittedparam-eter.The resultingchanges in P1 and P5 areusedasestimatesof thesystematicuncertaintyassociatedwiththiscontribution.
Toproperlypropagate theuncertaintyassociatedwiththe val-ues of FL, FS, and AS, taking into account possible correlations,
10pseudo-experimentsperq2 binaregeneratedusingthepdf
pa-rametersdetermined fromthe fit todata. The number ofevents in these pseudo-experiments is 100 times that of the data. The pseudo-experimentsare then fittwice, once with the same pro-cedureasfor thedataandonce with P1, P5, A5S, FL, FS,and AS
allowed to vary. The average ratio
ρ
of the statistical uncertain-ties in P1 and P5 from the first fit to that in the second fit isusedtocomputethissystematicuncertainty,whichisproportional tothe confidenceinterval determined fromthe Feldman–Cousins methodthrough the coefficient
√
ρ
2−
1. The stability ofρ
as afunction of the number of events of the pseudo-experiments is alsoverified.Ascross-checksofourprocedureconcerningthefixed value of FL, we fit the two control regions either fixing FL or allowing it to vary, and find that the values of P1 and P5 are
essentially unaffected, obtaining the same value of FL as in our previousstudy [31]. Moreover,we refitallthe q2 binsusingonly theP-wavecontribution forthedecayrateinEq. (1) and leaving
all threeparameters, P1, P5,and FL,free tovary. Thedifferences
in the measured values of P1 and P5 are within the systematic uncertaintyquotedfortheFL,FS,andASuncertaintypropagation. Theeffectsofangularresolutiononthereconstructedvaluesof
θ
Kandθ
areestimatedbyperformingtwofitsonthesamesetofsimulatedevents.Onefitusesthetruevaluesoftheangular vari-ablesandtheotherfittheirreconstructedvalues.Thedifferencein thefittedparametersbetweenthetwofitsistakenasanestimate ofthesystematicuncertainty.
The systematic uncertainties are determined for each q2 bin, withthetotalsystematicuncertaintyobtainedbyaddingthe indi-vidualcontributionsinquadrature.
As a note for future possible global fits of our P1 and P5
data, the systematic uncertainties associated with the efficiency, Kπ mistagging, B0 mass distribution, and angularresolution can beassumedtobefullycorrelatedbin-by-bin,whiletheremaining uncertaintiescanbeassumedtobeuncorrelated.
6. Results
Theeventsarefitinsevenq2 binsfrom1to19 GeV2,yielding
1397signal and1794backgroundeventsintotal. Asan example, distributions fortwoofthesebins,along withthefitprojections, are shown in Fig. 2. The fitted values of the signal yields, P1,
and P5 are given in Table 2 for the seven q2 bins. The results
for P1 and P5 are shown in Fig. 3, along with those from the LHCb [33] andBelle [34] experiments.ThefittedvaluesofA5
S vary
from
−
0.
052 to+
0.
057.ASM prediction,denoted SM-DHMV,isavailable for compari-sonwiththemeasuredangularparameters.TheSM-DHMVresult, derived fromRefs. [18,25],updatesthecalculationsfromRef. [52]
to accountfor theknown correlation betweenthedifferent form factors [53]. It also combines predictions from light-cone sum rules, which are valid in the low-q2 region, with lattice predic-tionsathighq2 [54] toobtainmoreprecisedeterminationsofthe
formfactorsoverthefullq2 range.Thehadroniccharm-quarkloop contributionisobtainedfromRef. [55]. A reliabletheoretical pre-diction is not available nearthe J
/ψ
andψ
resonances. The SM predictionis shownincomparisonto thedata inFig.3 andit is seen to be in agreement with the CMSresults. Thus, we do not obtainevidenceforphysicsbeyondtheSM.Qualitatively,theCMS measurements are compatible with the LHCb results. The Belle measurementsliesystematicallyaboveboththeCMSandLHCb re-sultsandtheSMprediction.7. Summary
Usingproton–protoncollisiondatarecordedat
√
s=
8 TeV with theCMSdetectorattheLHC,correspondingtoanintegrated lumi-nosity of 20.
5 fb−1, an angular analysishas been performed for thedecayB0→
K∗0μ
+μ
−.Thesignalsampleconsistsof1397 se-lectedevents.Foreachofsevenbinsbetween1to19 GeV2 inthe dimuoninvariantmasssquaredq2,unbinnedmaximum-likelihoodfitsareperformedonthedistributionsoftheK+
π
−μ
+μ
− invari-ant mass andthree angular variables to obtain values ofthe P1andP5 parameters.Theresultsareamongthemostprecisetodate fortheseparametersandareconsistentwithpredictionsbasedon thestandardmodel.
Acknowledgements
WecongratulateourcolleaguesintheCERNaccelerator depart-ments for the excellent performance of the LHC and thank the technicalandadministrativestaffs atCERN andatother CMS in-stitutes for their contributions to the success of the CMS effort. Inaddition,wegratefullyacknowledgethecomputingcentresand personneloftheWorldwideLHCComputingGridfordeliveringso effectivelythe computinginfrastructureessential to ouranalyses. Finally, we acknowledge the enduring support for the construc-tionandoperation oftheLHCandthe CMSdetectorprovidedby thefollowingfundingagencies:BMWFWandFWF(Austria);FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIEN-CIAS(Colombia);MSESandCSF(Croatia);RPF(Cyprus);SENESCYT (Ecuador); MoER, ERC IUT, and ERDF (Estonia); Academy of Fin-land,MEC,andHIP(Finland);CEAandCNRS/IN2P3(France);BMBF, DFG, and HGF (Germany); GSRT (Greece); OTKA and NIH (Hun-gary);DAEandDST(India);IPM(Iran);SFI(Ireland);INFN(Italy); MSIPandNRF(RepublicofKorea);LAS (Lithuania);MOE andUM (Malaysia); BUAP, CINVESTAV,CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland);FCT(Portugal);JINR(Dubna);MON,RosAtom,RAS,RFBR andRAEP(Russia);MESTD (Serbia);SEIDI,CPAN,PCTI andFEDER (Spain);SwissFundingAgencies(Switzerland);MST(Taipei); ThEP-Center, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey);NASUandSFFR(Ukraine); STFC(United Kingdom);DOE andNSF(USA).
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TheCMSCollaboration
A.M. Sirunyan,
A. Tumasyan
YerevanPhysicsInstitute,Yerevan,Armenia
W. Adam,
F. Ambrogi,
E. Asilar,
T. Bergauer,
J. Brandstetter, E. Brondolin,
M. Dragicevic,
J. Erö,
M. Flechl,
M. Friedl,
R. Frühwirth
1,
V.M. Ghete,
J. Grossmann,
J. Hrubec,
M. Jeitler
1,
A. König, N. Krammer,
I. Krätschmer,
D. Liko, T. Madlener,
I. Mikulec,
E. Pree, N. Rad,
H. Rohringer, J. Schieck
1, R. Schöfbeck,
M. Spanring, D. Spitzbart,
W. Waltenberger,
J. Wittmann,
C.-E. Wulz
1, M. Zarucki
InstitutfürHochenergiephysik,Wien,Austria
V. Chekhovsky,
V. Mossolov,
J. Suarez Gonzalez
InstituteforNuclearProblems,Minsk,Belarus
E.A. De Wolf,
D. Di Croce,
X. Janssen, J. Lauwers,
M. Van De Klundert,
H. Van Haevermaet,
P. Van Mechelen,
N. Van Remortel
UniversiteitAntwerpen,Antwerpen,Belgium