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CPV measurements with Belle/KEKB

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Title: CPV measurements with Belle/KEKB


1
CPV measurements with Belle/KEKB
  • Stephen L. Olsen
  • Univ. of Hawaii

Feb 17, 2003 LCPAC meeting at KEK
2
f1 interfere B?fCP with B?B?fCP
(b)
J/y
Sanda, Bigi Carter
Vcb
B0

KS
?
?V2 ?sin2f1

td
J/y
V
Vtb
td
Vcb
(aka sin2b)
B0
B0
B0
KS
td
Vtb
V
td
theory errors 1
3
sin2f1 0.7190.0740.035
B - B B B
more B tags
(tags)
?z
more B tags
t ? ?z/c ß?
Now an established well understood exptl
technique
4
Agree on value, not name!!
Belle BaBar agree
sin2f1 (BaBar) 0.7410.0670.033
sin2f1 (Belle) 0.7190.0740.035
sin2f1 (World Av.) 0.7340.055
Agrees with SM
theory errors 1
5
Whats next?
  • sin2f1 ? shift to precision measurement mode
  • high statistics
  • better control of systematics
  • measure other angles
  • start with f2
  • measure sin2f1 in non-ccs decay modes
  • sensitive to new physics

6
f2 (a) from B?pp-
V
p
ub

B0
p-

?V2 V2
? sin2f2
td
ub
V
V
p-
Vtb
ub
td
(aka sin2a)
B0
B0
p
V
Vtb
td
7
Must deal with Penguin Pollution i.e.
additional, non-tree amplitudes with different
strong weak phases

Vtb
Vtd

p-
B0
p
direct CPV
mixing-induced CPV
Rq(Dt) ?1q Appcos(DmDt) Sppsin(DmDt)
q1 ? B0 tag -1 ? B0 tag
8
First results from Belle (Mar 02)
Study of CPV Asymmetries in B0 ? pp Decays
PRL 89, 071801 (2002)
  • 45 million B-meson pairs (42fb-1)
  • 162 events in the signal region


Results indicate large CP asymmetries, outside of
A2S2?1 allowed region
-5 0 5
Dt (ps)
9
Outside physical region some (2s) disagreement
with BaBar
10
Changes since last March
  • More data ! 85?106 B pairs (78 fb-1)
  • Analysis improvements
  • better track reconstruction algorithm
  • more sophisticated Dt resolution function
  • inclusion of additional signal candidates by
    optimizing event selection
  • Thorough frequentist statistical analyses
  • use of Monte Carlo (MC) pseudo-experiments based
    on control samples

11
Event and time reconstruction (3)
Flavor tagging
Vertex and Dt
Continuum suppression
B0 ? pp Selection
Flow
  • ee- ? qq (qu,d,s,c) continuum
  • background suppression
  • Event topology
  • Modified Fox-Wolfram moments
  • Fisher discriminants
  • Angular distribution
  • B flight direction
  • Combined into a single likelihood ratio
  • Select 2 regions for each flavor tag class
  • LR gt 0.825
  • LRmin lt LR ? 0.825

pp- (MC)
continuum
class 1
class 2
class 3
class 4
class 5
class 6
0.825
LRmin
12
B0 ? pp- example
p
p-
13
B0 ? pp candidates
LR gt 0.825
LRmin lt LR 0.825
pp- 57 Kp 22 qq 406 total 485
pp- 106 Kp 41 qq 128 total 275
14
Event and time reconstruction (4)
Flavor tagging
Vertex and Dt
Continuum suppression
B0 ? pp Selection
Flow
Vertex reconstruction
  • The same algorithm as that used for sin2f1 meas.
  • Resolution mostly determined by the tag-side vtx.
  • B lifetime demonstration with 85 million B pairs

B0gDp-, Dp-, Dr-, J/yKS and J/yK0
B0 lifetime 1.551?0.018(stat) ps
(PGD02 1.542?0.016 ps)
Example vertices
Time resolution (rms) 1.43ps
15
Time-dependent fit
Unbinned maximum-likelihood fit (no
physical-region constraint)
2 free parameters (App , Spp) in the final fit
DE-Mbc dist.
B0gDp-, Dp-, Dr-, J/yKS and J/yK0
(single Gaussian outlier)
Lifetime fit
The fit program reproduces our sin2f1 results
16
Reconstruction summary
  • Established techniques for
  • event selection
  • background rejection
  • flavor tagging
  • vertexing
  • time-difference (Dt) fit
  • In particular, background well under control

Common techniques used for branching
fractions, Dmd, tB, sin2f1
Now we are able to obtain App and Spp.But lets
go through several crosschecksbefore opening the
box.
17
B0 ? Kp control sample
Positively-identified kaons (reversed
particle-ID requirements w.r.t. pp selection)
LR gt 0.825
LRmin lt LR 0.825
total Kp yield 610 events
18
Mixing fit using B0?Kp?
Consistent with the world average (0.489?0.008)
ps-1 PDG2002
(OF?SF)/(OFSF)
19
Lifetime measurements
world average (PDG2002) (1.542 ? 0.016) ps
pp tB(1.42 ? 0.14) ps
Very different bkgnd fracs
Kp tB(1.46 ? 0.08) ps
BG shape fit
? background treatment is correct !
20
CP fits to the B?Kp sample
q1
q-1
SKp 0.08 ? 0.16
AKp ?0.03 ? 0.11 (consistent with
counting analysis)
No asymmetry
21
Null asymmetry tests
Null asymmetry
A ?0.015?0.022 S 0.045 ?0.033
Null asymmetry
22
pp- fit results
After background subtraction
Asymmetry with background subtracted
Still see a large CP Violation!
23
Fit results
App 0.77 ?0.27(stat) ?0.08(syst) Spp ?1.23
?0.41(stat) (syst)
0.08 ?0.07
After background subtraction
Asymmetry with background subtracted
data points with LR gt 0.825 curves from combined
fit result
24
Likelihoods errors
The probability for such small Spp errors is
1.2
ln(L) is not parabolic
  • we use most
  • probable errors
  • from toy-MC

25
How often are we outside the physical region ?
App 0.77 ?0.27(stat) ?0.08(syst) Spp ?1.23
?0.41(stat) (syst)
Fit results
0.08 ?0.07
Probability that we have a fluctuation equal to
or larger than the fit to data (input values at
the physical boundary) 16.6
Physical region App2 Spp2 1
Note prob. outside the boundary
60.1 (independent of statistics)
26
Cross-checks
Prev result App Spp 0.94 -1.21
27
(App,Spp) CL regions
3.4s Evidence for CP violation in B0 ? pp
28
Constraining f2
App
P/T 0. 276 ? 0.064 (Gronau-Rosner PRD65,
013004 (2002)
Spp
29
Constraints on f2
allowed regions
  • Input values for f1 and P/T
  • f123.5? (sin2f10.73)
  • P/T 0.3
  • f2 constraint w/o isospin analysis !
  • both App and Spp large
  • less restrictive on d
  • d lt 0 favored
  • no constraint on d at 3s

f2 (deg.)
d (deg.)
30
Constraints on f2 (contd)
( f1 23.5?)
P/T dependence
P/T 0.15
P/T 0.45
P/T 0.30
f2 (deg.)
d (deg.)
  • Consistent with theoretical predictions
  • Larger P/T favored

31
Constraints on f2
78? f2 152?
(for 0.15?P/T?0.45)
f2
32
(95.5 C.L.)
78? f2 152?
f1 dependence is small
33
Strategies for f3
D0?CP
Gronau, London, Wyler
K?
?
Vub
Vcb
D0?CP
?3
?2
K?
Amax 2R 0.2
_at_ 78 fb 1 47 CP-even evts 50 CP-odd evts A
0.12 0.13
_at_500 fb 1 dA/Amax ?0.3
34
Strategies for f3 (contd)
doubly Cabibbo-suppressed
Atwood, Dunietz, Soni
Vub
Vcb
Amax 1 but rate is small
Only 15 Dop evts, Cabibbo-suppressed DoK down
by 1/20
80 fb 1
B?Dop
Kp-
This strategy is very clean but requires lots
lots of data
Mbc
35
Are there non-SM CPV phases?
36
Measure sin2f1 using loop-dominated processes
eff
Example
no SM weak phases
, ?, KK-
SM sin2f1 sin2f1 from B?J/y KS unless there
are other, non-SM particles in the loop
eff
37
similar to m(g-2)
look for effects of heavy new particles in a well
understood SM loop process
m(g-2)
sin2f1eff
  • well defined technique target
  • theory exptl errors are well controlled
  • errors on SM expectations are small (5)
  • SM terms are highly suppressed
  • SM loops contain t-quarks W-bosons
  • ? effects of heavy non-SM particles can be large

lowest-order SM diagrams
SM loop particles t W
SM loop particle g

look for pp1 effects (i.e.100)
look for ppm effects
38
These channels are very clean the techniques
are understood
Wont reach experimental limits until 100 x more
data
39
sin2f1eff results (SM sin2f10.72
0.05)
(hep-ex/0212062)?PRD(r)
78fb-1
B? fKS
B?hKS
B?KK-KS
-0.73 0.66
Spp
0.52 0.47
0.76 0.36
2.2soff
OK
OK
40
CPV with Belle (summary)
  • f1 well established
  • next high precision measurements
  • f2 1st exptl limits are established
  • interesting near future
  • f3 just beginning
  • non-SM phases search has begun
  • 2.2 s discrepancy seen in fKS
  • BaBar has seen a similar discrepancy in fKS

41
Conclusion
  • Weve accomplished a lot in CPV
  • There is still a lot more to be done
  • KEKB Belle are up to the task
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