Meeting BaBar Italia, Capri 10/04/03 Alfio Lazzaro1 Branching Fraction and Direct CP Violation in B...
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Transcript of Meeting BaBar Italia, Capri 10/04/03 Alfio Lazzaro1 Branching Fraction and Direct CP Violation in B...
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 1
Branching Fraction and Direct CPBranching Fraction and Direct CPViolation in Violation in
BB00KK 00 and and BB
hh
Branching Fraction and Direct CPBranching Fraction and Direct CPViolation in Violation in
BB00KK 00 and and BB
hh
Alfio LazzaroAlfio LazzaroDipartimento di Fisica and INFN, MilanDipartimento di Fisica and INFN, Milan
on behalf of the BaBar Collaborationon behalf of the BaBar Collaboration
American Physical Society 2003, PhiladelphiaAmerican Physical Society 2003, Philadelphia
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 2
Physics Motivation
Analysis Strategy: Samples, Event Selection, ML fits
Results on Branching Fractions and Charge asymmetries
Conclusion
OverviewOverviewOverviewOverview
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 3
• Measurements of Branching Fractions allow constraints on phenomenological models
• Charge asymmetries (Ach) expected large (>20%) in BK (Soni, PRL 43, 242 (1979)) and B (Gronau, PRL 79, 4333 (1997))
Physics MotivationPhysics MotivationPhysics MotivationPhysics Motivation
Need precise measurements
Previous Measured Branching Fractions (106):Previous Measured Branching Fractions (106):
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 4
Data Samples and Sub-channelsData Samples and Sub-channelsData Samples and Sub-channelsData Samples and Sub-channels
We considered 3 channels:We considered 3 channels:
Reconstructed inReconstructed in
We have used 81.9 fbon-resonance (88.9 millions of BB pairs)
We have used 81.9 fbon-resonance (88.9 millions of BB pairs)
_
(23%) (39%)
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 5
Event selectionEvent selectionEvent selectionEvent selection • Beam energy to constraint B mass and energy:
• Event shapes to distinguish B events from continuum udsc:Fisher discriminant combining 4 variables:
•direction of B thrust axis wrt beam direction•direction of B momentum wrt beam direction•2 Legendre moments of the energy flow of rest of event wrt B thrust axis
|cos (thrust)| < 0.9
• Loose cuts based on shapes variables, PID and kinematical quantities of secondary daughters, Cherenkov angle cut for h selection.
We prepare the input toWe prepare the input to Maximum Likelihood Fit Maximum Likelihood Fit
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 6
• Two types of background:
qq (continuum ) dominant
bb (non continuum ) ~ 1% – 2%
•Observables: E, mES , Fisher, mass
ObservablesObservables ObservablesObservables
_
_
We useWe use Unbinned Extended Maximum Unbinned Extended Maximum Likelihood (ML) Fit Likelihood (ML) Fit to extract signal to extract signal
yields and charge asymmetriesyields and charge asymmetries
We useWe use Unbinned Extended Maximum Unbinned Extended Maximum Likelihood (ML) Fit Likelihood (ML) Fit to extract signal to extract signal
yields and charge asymmetriesyields and charge asymmetries
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 7
Results for Results for KK00 and and hhResults for Results for KK00 and and hh
First observationFirst observationPreliminary
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 8
Negative logLikelihoodNegative logLikelihoodNegative logLikelihoodNegative logLikelihood
Dashed blue line:
Dotted red line:
Solid black line:
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 9
mmESES and and EE projections projections mmESES and and EE projections projections
Shaded histograms represent
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 10
Systematics on BF and ASystematics on BF and AchchSystematics on BF and ASystematics on BF and Achch
Sources Error on yields • Systematics due to ML fit efficiency and bias
• Daughter Branching fractions
• Reconstruction efficiencies (, 0, KS, charged tracks)
• Other sources: BB Number, MC statistics,
PID, …
0.3 - 0.5
0.03 - 0.4
0.3 - 2.0
0.03 - 0.6
Total systematic error on BF:
Charge AsymmetriesSystematic on charge dependence bias
7.1% (h +) 7.7% ()
1.1%
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 11
KK00, , KKKK00, , KK
• Branching Fraction for BK larger than initially expected
by theory
• Tree diagrams are Cabibbo suppressed:
• Interference between two penguin diagrams and the known – mixing angle conspire to greatly enhance BK
and suppress BK (Lipkin, Phys. Lett. B 254, 247 (1991))
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 12
Results for Results for KK00 and and KKResults for Results for KK00 and and KK
BFBF
AAchch
Preliminary
See also talk by Fred Blanc, Session T11
See also talk by Fred Blanc, Session T11
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 13
mmESES and and E ProjectionsE Projections mmESES and and E ProjectionsE Projections
Shaded histograms represent
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 14
ConclusionConclusionConclusionConclusion
We have presented the following preliminary results:
First observation
First observation
2.52.5
Suppressed BKEnhanced BK
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 15
Altre Analisi in CorsoAltre Analisi in CorsoAltre Analisi in CorsoAltre Analisi in Corso
B–>B–> ''• BAD-462 Supporting Document
BAD-605 Physics Note
Risultati di CLEO
B0
d
b_
W+
t_
d
d_
gs
s_
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 16
B–>B–> ''B–>B–> ''
• Analisi finita da tempo
• Yields negativi
• Quindi abbiamo fatto una analisi
di tipo Bayesiano
• Si sta ancora discutendo con
i referee (Bob Cahn) ed altri
esperti sul modo piu’ appropriato
di presentare i risultati
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 17
B–>B–> ’K’KLLB–>B–> ’K’KLL
• Supporting document : BAD-591
• Scopo : Misura di BR e Time-Dependent CP-Violating
Asymmetries ( analogo a quanto abbiamo fatto con S)
•Attualmente usiamo il sotto-decadimento ma in
un prossimo futuro verra’ aggiunto °
•Statistica usata : RUN 1 + RUN 2
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 18
B–>B–> ’K’KLLB–>B–> ’K’KLL
• Funzioni di likelihood per la identificazione delle KL ntimo
• Constraint su MB e sulle direzioni per la ricostruzione cinematica
• Analisi ML con le variabili:
Mse , M , M , Fisher
• Forte presenza di fondo comporta
tagli su cos T bassa ( 6 % )
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 19
B–>B–> ’K’KLLB–>B–> ’K’KLL
• Ora stiamo cercando di aumentare l’efficienza di ricostruzione sostituendo alcuni tagli e il discriminante di Fisher con una rete neurale (NN). Uscita della rete usata come taglio per input ML
E , M , M• Analisi ML utilizzando le variabili :
• Analisi cut & count nel piano : ( NN , )
• Control Sample : e+e- ( S L )
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 20
B–>B–> ’K’KSSB–>B–> ’K’KSS
• Stiamo misurando il BR di questo canale nel sottodecadimento
e S + -
• Stiamo aggiornando l’analisi a tutta la statistica (Run1 + Run2)
• Useremo questi dati nella prossima analisi CP-time dependent
• Supporting Document : BAD-488
Meeting BaBar Italia, Capri 10/04/03
Alfio Lazzaro 21
B–>B–>
B–>B–>
• Stiamo misurando il BR di B nei sottodecadimenti
con e (
• Per i canali stiamo usando le varie combinazioni dei sottodecadimenti con e 3, e In queste analisi siamo ancora agli inizi!