Measurements of the CKM angle filePaola Garosi (University of Siena & INFN Pisa) Seventh meeting on...
Transcript of Measurements of the CKM angle filePaola Garosi (University of Siena & INFN Pisa) Seventh meeting on...
Paola Garosi(University of Siena & INFN Pisa)
Seventh meeting on B Physics Orsay, October 04th-05th 2010
Measurements of theCKM angle γ
2Favored b → c transition Color suppressed b → u transition A1 ~ VcbVus
* ~ λ3 A2 ~ VubVcs* ~ λ3 rB e-iδB e-iγ
CKM γ angle through B→DK decays
γ can be extracted exploiting the interference between the processesb → c us (B- → D0 K-) and b → ucs (B- → D0 K-), when D0 and D0 decay to thesame final state
CKM matrix CP violation if η≠0
Using B→DK decays is the cleanest way to measure γ: - tree-level amplitude only - no theoretical uncertanties
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Current situation for the γ anglemeasurement using B- → D0 K-
γ (deg) = 71 [+21 -25]
• GGSZ (Giri-Grossmann-Soffer-Zupan) method ([PRL78,3257, PRD68,054018])
that uses the B± → D K± decays with the D0 and D0 reconstructed into three-body finalstate. For example the D0 → K0
s π+ π-
• GLW (Gronau-London-Wyler) method ([PLB253,483 PLB265,172])
that uses the B± → D K± decays with DCP decay modes. DCP+ → π+ π-, K+ K-
and DCP- → K0s π0, K0
s ω, K0s φ.
• ADS (Atwood-Dunietz-Soni) method ([PRL78,3257;PRD63,036005])
that uses the B± → D K± decays with D reconstructed in the doubly Cabibbo suppressedD0
DCS → K+ π-
It is the least well-known angle of the CKM
triangle nowadays!
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GGSZ method
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GGSZ methodUses the B-→[K0
s π+ π-] K- decay (large statistics)
Need:- Dalitz plot of D0 decay products as function of:- Precise model of the D0 amplitude (to separate resonances from interference)
s+ = M2(K0S π+)
s- = M2(K0S π-)
+ rB ei(+γ+δB)
B+→B- ⇒ +γ→-γ, s-↔s+, D0↔D0
- Dalitz plot of B+/B- events as function of:- Gaussian-distributed,- uncorrelated
- Fit on B+/B- to obtain rB, δB and γ
x±=rB cos(δB±γ)y±=rB sin(δB±γ)
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BaBar GGSZ result (468M BB)(arXiv:1005.1096, accepted by Phys. Rev. Lett. (August 2010))
Used D→KSππ and D→KSKK
Combining the three results:
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Belle GGSZ result (657M BB)(A. Poluektov et al., PRD 81, 112002 (2010))
B→DK B→D*KCombining the two results:
They want to update the analysis using a model-indipendent strategy
D0→K0Sπ+π− from
D*→D0 πsoft
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GGSZ summary
• Still dominated by statistical error.• Improved model and reduced model error from Babar.• Still model error hard to quantify. Will limit the precision offuture high-statistics measurements using this method.
Average results:
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GLW method
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From theory:
RCP± = 1 + rB2 ± 2rB cosδB cosγ
ACP± = 2rB sinδB sinγ/RCP±
GLW method
!
RCP ± =
"(B#$ D
CP ±
0K
#) + "(B
+$ D
CP ±
0K
+)
["(B#$ D
0K
#) + "(B
+$ D
0K
+)]/2
!
ACP ± =
"(B#$ D
CP ±
0K
#) #"(B
+$ D
CP ±
0K
+)
"(B#$ D
CP ±
0K
#) + "(B
+$ D
CP ±
0K
+)
!
R =B(B
"# D
0K
") + B(B
+# D
0K
+)
B(B"# D
0$") + B(B
+# D
0$ +)
!
R± =B(B
"# D
CP ±
0K
") + B(B
+# D
CP ±
0K
+)
B(B"# D
CP ±
0 $") + B(B
+# D
CP ±
0 $ +)
RCP± ~ R±/R
Direct CP violation in B → DCPK modes (DCP+ → π+ π-, K+ K- and DCP- → K0
s π0, K0s ω, K0
s φ.)
4 observables
3 are independent(ACP+RCP+ = -ACP-RCP-)and 3 unknowns (rB, γ, δB)
We neglect a termrB|VusVcd/VudVcs| ~ 0.01
- very clean method- small asymmetry, sensitivity to γ proportional to rB
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BaBar GLW result (467M B B)(arXiv:1007.0504, accepted by Phys. Rev. D (August 2010)
~ 480 B→DCP+K events
RCP+ = 1.18 ± 0.09 ± 0.05ACP+ = 0.25 ± 0.06 ± 0.02
~ 500 B→DCP-K events
RCP- = 1.07 ± 0.08 ± 0.04ACP- = -0.09 ± 0.07 ± 0.02
• Direct CPV at 3.6σ in B→DCP+K decays • Most precise measurement of ACP± and RCP± • x± competitive with Dalitz-analysis results
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Belle GLW result (275M B B)(arXiv:hep-ex/0601032v3, PRD 73, 051106, 2006)
B+ B-
B+ B-
~ 140 B→DCP+K events
RCP+ = 1.13 ± 0.16 ± 0.08ACP+ = 0.06 ± 0.14 ± 0.05
~ 150 B→DCP-K events
RCP- = 1.17 ± 0.14 ± 0.14ACP- = -0.12 ± 0.14 ± 0.05
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GLW at CDF: first measurement at a hadron collider (L=1fb-1)(Phys.Rev.D81:031105,2010)
Selection of DCP+ modes: - cuts optimized minimizing the expected statistical uncertainty on ACP
B- → D0CP+ π- → [K K] π- L = 1fb-1 B- → D0
CP+ π- → [π π] π- L = 1fb-1
Fit procedure:
Implementation of a Likelihood FIT using• kinematics (masses and momenta) and• particle identification (dE/dx)information to determine the signalcomposition(K - π separation: 1.5 σ for p > 2 GeV/c)
D0π mass vs momentum imbalance α
If Pt < PD0 α = 1 - Pt/PD0 > 0If Pt >= PD0α = - (1 - PD0/Pt) <= 0
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Results
Yield (B → DCP+K) ~ 90 (1 fb-1)!
RCP + =1.30 ± 0.24(stat) ± 0.12(syst)
ACP + = 0.39 ± 0.17(stat) ± 0.04(syst)
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GLW method: Summary
B→DK B→DK
B→DKB→DK
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ADS method
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ADS ObservablesDirect CP violation in B → DDCSK modes
Observables
From theory:RADS(K) = rD
2 + rB2 + 2rBrD cos(δB+δD) cosγ
AADS(K) = 2rBrD sin(δB+ δD)sinγ/RADS(K)
!
AADS(MAX) =
2rBrD
rB
2+ r
D
2
Sizeableasymmetries maybe found also forB → DDCS π
D0CF→K-π+, D0
DCS→K+π-
- expected large CP asymmetry- results have to be combined with other methods to obtain γ measurement
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BaBar ADS result (467M BB)(arXiv:1006.4241, accepted by Phys. Rev. D (September 2010))
~ 20 B→DDCSK events, with a significance of ~2σ
B→DDCSπ reconstruction
B→DDCSK reconstruction
~ 80 B→DDCSπ events
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Belle ADS result (772M BB)(preliminary shown at CKM2010)
B→DDCSπ reconstruction
B→DDCSK reconstruction
Evidence of B→DDCSK, with a significance of 3.8σ
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First measurement of AADS and RADSat a hadron collider using 5 fb-1
ADS method at CDF
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CF and DCS samples (L = 5fb-1)
B- → D0CF π-→ [K- π+] π- B- → D0
DCS π-→ [K+ π-] π-
Cuts optimization Crucial step towardthe DCS modes
• Maximize the quantity on CF sample.
!
S
1.5 + B(arXiv:0808063v2)
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B candidate D0 candidate
• LxyB/errLxyB ≥ 12• |IPB| ≤ 0.005 cm• Pointing angle ≤ 0.15• Isolation(R=0.4) ≥ 0.7• Isolation(R=1) ≥ 0.4• χ2
3D ≤ 13
• Lxy wrtB ≥ 0.01 cm• ΔR(D-track from B) ≤ 1.5• ΔID(KfromD-πfromD) ≥ -1.• |cos(θ*)D| ≤ 0.6• 1.8495 ≤ MD(HP k-π) ≤ 1.8815• MD(HP π−k) ≥ 1.9045 & MD(HP π−k) ≤ 1.8265• MD(HP k-πfromB) ≥ 1.9045 & MD(HP k-πfromB) ≤ 1.8265
Optimized selection
angle between the 3Dmomentum of B and thedecay axis
!
ID(h) =dE /dx(h) " dE /dxexp(#)
dE /dxexp(K) " dE /dxexp(#)
θ*D = angle between the D0
in the CM of the B and theflight direction of B
LxyB
IPB
Lxy wrtB
Remove D0→ππ events
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B candidate D0 candidate
• LxyB/errLxyB ≥ 12• |IPB| ≤ 0.005 cm• Pointing angle ≤ 0.15• Isolation(R=0.4) ≥ 0.7• Isolation(R=1) ≥ 0.4• χ2
3D ≤ 13
• Lxy wrtB ≥ 0.01 cm• ΔR(D-track from B) ≤ 1.5• ΔID(KfromD-πfromD) ≥ -1.• |cos(θ*)D| ≤ 0.6• 1.8495 ≤ MD(HP k-π) ≤ 1.8815• MD(HP π−k) ≥ 1.9045 & MD(HP π−k) ≤ 1.8265• MD(HP k-πfromB) ≥ 1.9045 & MD(HP k-πfromB) ≤ 1.8265
Optimized selection
Reduce contaminationfrom three bodydecay (B+→h+h-h+)
Exploit the powerful 3D silicon-tracking to resolve multiple verticesalong the beam direction and to reject fake tracks. Backg. reduces x2,small inefficiency on signal (<10%).
η - φ spaceB
!
I(B) =pT (B)
pT (B) + pT (i)i"
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CF and DCS after cut optimization
B- → D0DCS π-
B- → D0CF π-→ [K- π+] π- B- → D0
DCS π-→ [K+ π-] π-
Use of an unbinned maximum likelihood fit (combined on CF and DCSmodes) to separate signals contribution using: mass information particle identification (dE/dx with K-π separation: 1.5 σ for p > 2 GeV/c)
Fit procedure
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Results
B- → D0DCS π-→ [K+ π-] π-B+ → D0
DCS π+→ [K- π+] π+
Yield (B → DDCSK) = 34 ± 14 (5 fb-1)Yield (B → DDCSπ) = 73 ± 16 (5 fb-1)
Significance for all DCSsignal (DDCSπ + DDCSK) > 5 σ
!
RADS (") = 0.0041± 0.0008(stat) ± 0.0004(syst)
AADS (") = 0.22 ± 0.18(stat) ± 0.06(syst)
RADS (K) = 0.0225 ± 0.0084(stat) ± 0.0079(syst)
AADS (K) = #0.63 ± 0.40(stat) ± 0.23(syst)
• First measurement ofAADS and RADS at a hadroncollider, with a goodprecision!
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Summary of results
B→Dπ
B→Dπ
B→DK
B→DK
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Conclusions• BaBar updated Dalitz, GLW and ADS measurements using thefull dataset (468M BB)
• Dalitz: γ = 68 ± 14 ± 4 ± 3• GLW: direct CPV at 3.6σ in B→DCP+K decays• ADS: hint of ADS signals in B→DDCSK (2σ)
• Belle updated Dalitz and ADS measurements using 657M and772M BB (full dataset)
• Dalitz: γ = 78.4 ± 10.8 ± 3.6 ± 8.9• ADS: evidence of ADS B→DDCSK (3.8σ)
B-factories used almost all data available, expected no significantupdates.
• CDF has demostrated capability of hadron colliders with B tocharm decay.
• New ADS results (5 fb-1) competitive with B-factories• We expect significant improvement soon, double data-set by 2011.(expected 10-12 fb-1)• Prospective to extend the run of CDF, further double statistics.
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BACK-UP
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The CDF II detectorTRACKING system:• DRIFT CHAMBER96 layers (|η|<1)
→ 1.5σ π/K separation by dE/dx
• SILICON TRACKER7 layers (1.5-22cm from beam pipe)
→ I.P. resolution 35 µm at 2 GeV
→ σ(pT)/pT2 ~ 0.015% (c/GeV)
TRACKING TRIGGER system:• Chamber track processor at L1,2D tracks in COT, pT > 1.5 GeV
• Silicon Vertex Trigger at L2,2D tracks pT > 2 GeV,Impact Parameter measurement (triggeron events containing long lived particles)
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From an LHCb study: resolution on γ (assuming 2fb-1)
4°-10°B → ππ,KK13°tagged, A(t)KKπBS→DSK
DalitzADS+GLW4-body “Dalitz”4-body “Dalitz”DalitzADS+GLWADS+GLWMethod
15°KSππB+→DK+
15°KKππB+→DK+
under studyKπππB+→DK+
7°-10°Kπ + KK + ππB0→DK*0
under studyKSππB0→DK*0
under studyKπB+→D*K+
5°-15°Kπ +KK/ππ + KπππB+→DK+
σ(γ)D modeB mode
Signal only,no accept.effect
WhenstatisticsbecomessufficientlylargetoactuallyseetheB‐>DKDCSdecay,themostsensitivemethodformeasuringgammabecomesADS(+GLW),notDalitz.
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To reject most of the physicalbackgrounds, narrow fit windows[5.17,6.5]
Separating DK from other modes
MC
DATA
The only significant physics backgroundsare B-→D0π- and B- →D0*π-
B- → D0CF π-→ [K- π+] π-
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Implementation of a Likelihood FIT using masses and particleidentification (dE/dx) information to determine the signalcomposition
Separation by Particle ID
K - π separation: 1.5 σ forp > 2 GeV/c
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ADS: cuts definition
Pointing angle = angle between the momentum 3D of B andthe decay axis
cos(θ*)D = angle between the D0 in the CM of the B and
the flight direction of B
ΔID = ID(KD) - ID(πD) where
!
ID(h) =dE /dx(h) " dE /dxexp(#)
dE /dxexp(K) " dE /dxexp(#)
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Results
6±828±1144±1229±10DCS
785±49727±478804±1038873±103CF
B- →DK-B+ →DK+B- →Dπ-B+ →Dπ+D mode
B- → D0DCS π-→ [K+ π-] π-B+ → D0
DCS π+→ [K- π+] π+
Yield (B → DDCSK) = 34 ± 14 (5 fb-1)Yield (B → DDCSπ) = 73 ± 16 (5 fb-1)
Significance for all DCSsignal (DDCSπ + DDCSK) > 5 σ
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Results: physics backgroundPhysics background for DCS:
4±3B0→D0*- e+ νe
18±4B-→K-π+ π-
4±3B-→D0 K-, D0→X90±13B-→D0 π-, D0→X3±3B-→D0* π-, D0*→D0γ/π0
YieldDecay
B- → D0DCS π-→ [K+ π-] π-B+ → D0
DCS π+→ [K- π+] π+
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ADS: Systematics
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ADS: Likelihood
• pdfi(M,ID) = pdfi(M) *pdfi(ID)• Fitted parameters
– b CF, DCS = background fraction for CF and DCS– fπ, CF, DCS = B->D0 π fraction for CF and DCS signal– c = fD* /fπ (equal for CF and DCS)– f[X]π = fraction of B->D0 π, D0->X in DCS reconstruction (constrained from MC)– f[X]K = fraction of B->D0K, D0->X in DCS reconstruction (constrained from MC)– fKππ = fraction of B->K- π+ π- in DCS reconstruction (constrained from MC)– fB0 = fraction of B0->D*- e ν in DCS reconstruction (constrained from MC)
Analogous expressions for negative charges
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Selection of DCP modes
B- → D0CP+ π- → [K K] π- L = 1fb-1 B- → D0
CP+ π- → [π π] π- L = 1fb-1
We optimized the cuts by minimizing theexpected statistical uncertainty on ACP
Select the sub-sample where theB-pion is a trigger track(kinematics differ according towhich tracks trigger, need aseparate fit for the rest)
• Isol > 0.65• chi3D < 13• |d0_B| < 0.007 cm• Sig_LxyB > 12
• LxyD_B > 0.01 cm• LxyD > 0.04 cm• ΔR = (Δφ2 + Δη2)1/2 < 2
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Fit for B- → D0 π-/K- fractions SIMULTANEOUSLY in:D0
flav, D0CP → KK, D0
CP → ππ modes.
GLW: Likelihood
Likelihood =
ΠkNevents [(1-b) * (fπ Fπ (α, Ptot, MD0π, dE/dx) + fD BGD (α, Ptot, MD0π, dE/dx)
+ (1-fπ - fD) FK (α, Ptot, MD0π, dE/dx)) + b BGcomb (α, Ptot, MD0π, dE/dx)]
b = fraction of the background measured with respect to all the eventsfπ = fraction of B → D0 π with respect to the total signal (common to the twoDCP modes)fD = fraction of B → D0* π with respect to the total signal (common to theflavor and the DCP modes)
Fi (α, Ptot, MD0π, ID) = pdf(MD0π|α, Ptot) pdf(α,Ptot) pdf(dE/dx| α, Ptot)
Write masses with different particle assignments as functions of asingle mass + appropriate kinematics variables α, Ptot
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Fi (α, Ptot, MD0π, ID) = pdf(MD0π|α, Ptot) pdf(α,Ptot) pdf(dE/dx| α, Ptot)
GLW:Likelihood
Mass term• Signal shape from MC(including FSR)• Background shape:exponential function freein the fit
Momentum term• Signal shape from MC• Background shapefrom data sideband
PID termSignal andbackgroundshapes fromD0 → K-π+
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Implementation of a Likelihood FIT using kinematics(masses and momenta) and particle identification(dE/dx) information to determine the signal composition
Separation by kinematics and Particle ID
D0π mass vs momentum imbalance α
If Pt < PD0 α = 1 - Pt/PD0 > 0 If Pt >= PD0 α = - (1 - PD0/Pt) <= 0
K - π separation: 1.5 σ forp > 2 GeV/c
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GLW: Systematics
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Cross-check: kaon PID selection
A requirement onthe PID variablewas applied tosuppress the Dπcomponent andfavor the DKcomponent.
B → D0CP+ π → [K K] π L = 1fb-1
B → D0CP+ π → [π π] π L = 1fb-1
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Tevatron is great for rare B decay searches:• Enormous b production cross section, x1000times larger than e+e- B factories• All B species are produced (B0, B+, Bs, Λb…)
The Tevatron
But:• The total inelastic x-section is a factor 103
larger than σ(b b)• The BRs of rare b-hadron decays are O(10-6) orlowerTherefore interesting events must be extractedfrom a high track multiplicity environment
CDF
Detectors need to have:• Very good tracking and vertex resolution• Highly selective trigger