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Title: Steven Blusk, Syracuse UniversityRecontres de Moriond, March 2005


1
Measurements of Hadronic, Semileptonic and
Leptonic Decays of D Mesons at Ecm3.77 GeV in
CLEO
Steven Blusk Syracuse University
CLEO-c
  • Outline
  • Introduction
  • Hadronic Branching Fractions
  • Semileptonic Decays
  • D?m nm
  • Conclusion

2
CESR-c/CLEO-c
  • The CLEO program has migrated from running on the
    ? resonances to the region around the y(3770)?
    Charm factory to study D, Ds mesons -- Broad
    program of charm physics (3 fb-1 goal)
  • Additional running at J/y (search for exotics in
    radiative decay) in year 3

CLEO-c
  • Tracking (93 of 4p)
  • 16 axial, 31 stereo layers
  • sp/p 0.6
  • CsI (93 of 4p)
  • 6144 crystals (barrel only)
  • sE/E 5 at 100 MeV 2.2 at 1
    GeV
  • Particle ID
  • RICH (80 of 4p) dE/dx
  • eKgt90 for p fakelt5

Inner DriftChamber
Accelerator changes - installation of SC
wigglersto improve damping ? higher L
  • CLEO-c detector largely same as CLEO-III,
  • Silicon replaced with drift inner chamber
  • B field reduced from 1.5T?1.0T

Log
y
y(3770)
Ebeam
3
Some highlights of the CLEO-c Charm Program
  • Precision measurements of D branching fractions
  • Precise measurements of fD and fDs, the D decay
    constants.
  • When combined with LQCD will enable 5
    determinations of Vtd and Vts
  • Pave the road for a more accurate extraction of
    Vub
  • Measurements of D?pln and D?rln form factors
    will provide testedlattice QCD predictions on
    heavy-to-light FFs.
  • Extraction of Vcd, Vcs
  • Unitarity Triangle
  • Once Vub Vtd are measured to O(5) ?
    Allows for a stringent test of CKM angles (ie.,
    sin2b) vs sides

4
CLEO D Tagging
  • Pure DD final state, no additional particles (ED
    Ebeam).
  • Low particle multiplicity 5-6 charged
    particles/event
  • Good coverage to reconstruct n in semileptonic
    decays
  • Pure JPC 1- - initial state
  • Tag one D meson in a selected tag mode.
  • Dictates whether final state is DD- or D0D0
  • Study decays of other D, (signal D)

K
Dsig
e
e-
Dtag
p
p
ED? Ebeam improves mass resolution by 10X
Analysis Preview
  • Hadronic BF Use double-tagged and single-tagged
    yields
  • Semileptonic decays Dtag (Dsig ?Xene),
    reconstruct ne using Pmiss
  • Leptonic Decays Dtag (Dsig ?mnm)

Analyses shown today based on 57 pb-1
5
Absolute D Hadronic Branching Fractions
Single Tags Reconstructed one D meson Double
Tags Reconstruct both D mesons
D0 ? K-p D0 ? K-pp0 D0 ? K-ppp-
D ? K-pp D ? K-p pp0 D ? Ksp D ?
Kspp0 D ? Ksppp- D ? K-Kp
D- ? Kp-p- D- ? Kp- p-p0 D- ? Ksp- D- ?
Ksp-p0 D- ? Ksp-p-p D- ? K-Kp-
6
Fits to Data
D Modes
D0 Modes
  • Signal shape includes
  • y(3770) line shape, ISR, beam energy spread
    momentum resolution

Kp
Kspp0
Kpp
Ksppp
Kpp0
Kppp0
Ksp
KKp
Efficiency includes FSR losses
Kppp
7
Systematic Uncertainties
Tracking, p0 and Ks all use similar missing
mass technique.
  • For pion
  • Look at mass recoiling against J/yp in
    y?J/ypp- events ? Peak at Mp2 for
    J/ypp-.
  • Count the number of times the track is found
    versus not found.

p track found
p track not found
MC
DATA
Uncertainty ? 0.7 / (p/K)
8
Preliminary Results
to be submitted to PRL
D Modes
D0 Modes
Normalized to PDG
As many of the systematics are evaluated using
data, they will shrink as ?L
9
Semileptonic Decays
?e
Vcs , Vcd
e
W
c
  • Test LQCD on shape of f(q2) ?Use tested
    Lattice for norm.
  • ?From B(D?Xen) extract Vcd
  • D?p FF related to B?p FF by HQS ? Precise
    D?p FFs can lead to reduced stheory
    in Vub at B factories
  • Similar for D?Vln, except 3 FFs enter
  • Can also form ratios, where theory should be
    more precise

LQCD, PRL 94, 011601 (2005)
10
Basic Technique
D0 Tag Modes
MBC
11
Pseudoscalar Modes D ? Pene
c?s Cabibbo Favored
c?d Cabibbo Suppressed
(110 events)
(1400 events)
Events / ( 10 MeV )
Events / ( 10 MeV )
U Emiss Pmiss (GeV)
U Emiss Pmiss (GeV)
(60 events)
(500 events)
Events / ( 10 MeV )
Events / ( 10 MeV )
U Emiss Pmiss (GeV)
U Emiss Pmiss (GeV)
12
Vector Modes D ? Vene
57 pb-1 Data
c?s Cabibbo Favored
c?d Cabibbo Suppressed
First Observation
First Observations
(30 events)
(90 events)
U Emiss Pmiss (GeV)
(8 events)
(5s)
(30 events)
(400 events)
U Emiss Pmiss (GeV)
13
Preliminary Results
to be submitted to PRL
14
Inclusive SemileptonicElectron Spectra
CLEO-c Preliminary
D0 D
15
Leptonic Decay
G(B?tn) 10-4 10-5 difficult
Goal Extract fD, and eventually fDs (with
precision) ? Test LQCD, if it passes then trust
it in predicting fB, fBs ? Critical to
measuring Vtd/Vts, one of the sides of the UT
16
The Technique
17
Results
CLEO-c Yellow Book 1 fb-1
MostlyKLpbackground
8 events
DATA
18
Summary
  • CLEO-c is off to a great start.
  • With only 57 pb-1 on y(3770) (3 fb-1 proposed),
    measurements are already comparable or better
    than world average.
  • Many more analyses are in the pipeline which I
    havent had timeto discuss.
  • Many more exclusive BRs being investigated
  • Several variants of inclusive and exclusive SL
    analyses
  • Techniques for estimating systematics
    established using data.
  • With more data, they will be reduced.
  • Look forward to many precision results in charm
    physics comingfrom CLEO.

19
Backup Slides
20
Particle ID
  • Use modes where the particle content is
    unambiguous.
  • For p D?K-pp, D0 ?Kspp, D0 ?Kpp0
  • For K D?K-pp, D0 ?Kpp0
  • Then apply tagging requirements
  • If both p K hypotheses analyzed,
  • 3s dE/dx consistency, and
  • D ( s(dE/dx)p2 - s(dE/dx)K2 LogLik(p)-
    LogLik(K)lt 0 (Nggt2)
  • Drop RICH if
  • RICHDONE is false, or, p(p)lt0.55 GeV/c, or
    cosqgt0.8

Correction applied (0.30.3) for p and
(1.31.3) for K
21
D Hadronic Systematics
  • DE requirement compare yields with without DE
    cut (1.5)
  • FSR Validated using J/y?mm, conservatively 0.5
    for ST, 1 for DT
  • G3770 Lowe from 30.6 MeV ?23 MeV and take shift
    in data as systematic (0.6)
  • Resonant substructure affects efficiencies,
    depending on mode 0.4 1.5
  • Trigger efficiency trigger simulation ?
    0.1(Ksp) 0.2 (K-pp0)
  • Multiple candidates
  • Multiple candidates can result in choosing the
    wrong combination resultingin a loss in
    efficiency.
  • MC does not model the number of multiple
    candidates/event well.
  • Affects modes with p0s
  • 1.30 for Kspp0, 0.44 for K-p pp0, 0.32
    for K-pp0
  • Double DCSD Unknown relative phase between DCSD
    CAD amplitudes (0.8)
  • Fit functions 0.5
  • Data processing 0.3
  • Quantum (CP) correlations Negligible

22
Yield Extraction in D Hadronic
CBX 05-06, A. Ryd.
  • Signals are fit using
  • y(3770) line shape, ISR, beam energy spread,
    momentum resolution(G3770 set to 30.6 MeV, as
    determined from data reduced to WA for
    systematics)
  • Fit double tags first, using D?X / D?X, then fit
    single tags with sig pars fixed
  • Disentangle momentum resolution from beam energy
    spread
  • Signal Resolution (Signal MC) (5
    parameters per D)
  • 3 Gaussian widths (s1,s2,s3) 1.5s1lt s2lt 4s1
    1.5s2lt s3lt 4s2
  • Two fractions f2, f3, (1-f2-f3)
  • Fixes resolution for double single tag fits in
    MC data

Beam Energy, inc. ISR
Signalregion
All candidates
  • Background
  • 1 correct D 1 incorrect D (fsig
    ARGUS)
  • Mispartitioning of daughters
    ARGUS(ltMgt)GAUSS(DM)
  • Both Ds are background ARGUS(MD1)ARGUS(MD2)

Kpp0
Kpp0
Double TagFit to Signal MC
23
Branching Fraction Fitting
CBX 04-36 (W. Sun)
Corrected yields are given by
  • n Raw yields of single double tags
  • b estimated backgrounds from other D modes
  • N Fitted yields of single double tags
    NDDBi
  • E Efficiency matrix
  • diagonal elements are efficiencies
  • off-diagonal are cross-feed probabilities
  • F background probability matrix

Test using Toy MC- 3 neutral 2 charged modes
- no biases- proper error estimation
V is the variance matrix, and contains both
statistical systematic uncertainties
Since eij ? ei ej, correlated systematics cancel
in NDD
To first order, Bi is independent of tag modes
efficiencies.
24
Backgrounds
Single Tags
Cross-feed
External Not simulated in MC
Double Tags assume only 1 fake contributes,
since P(2 fakes) very small
Backgrounds that are dependent on fit
parameters, ie., NDD, are updated after each
iteration..
25
Backgrounds - II
MBC distributions for generic MC after signal
modes and backgrounds considered are removed
MBC distributions for non-DD MC
26
Fit to Generic MC(50X Data!)
Worst difference is 2.1s, for Kpp But this is for
50X data ? Scale by ?50 for data ?
0.3sstat. Deemed acceptable by committee, and
noted in PRL.
27
Form Factor Shapes
No efficiency corrections, resolution 0.025 GeV2
Future goal slopes 4, form factors over all q2
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