1 / 29

S. Bolognesi & M.A. Borgia for the CP-violation exam

A measurement of the B 0 B 0 oscillation frequency and determination of flavor-tagging efficiency using semileptonic and hadronic B 0 decays. S. Bolognesi & M.A. Borgia for the CP-violation exam. Introduction. The strategy The experimental environment. S. Bolognesi & M.A. Borgia.

len-vincent
Download Presentation

S. Bolognesi & M.A. Borgia for the CP-violation exam

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. A measurement of the B0B0 oscillation frequency and determination of flavor-tagging efficiency using semileptonic and hadronic B0 decays S. Bolognesi & M.A. Borgia for the CP-violation exam

  2. Introduction The strategy The experimental environment S. Bolognesi & M.A. Borgia CP-violation exam

  3. B0B0 mixing through NLO aEW diagrams involving exchange of up-type quarks if perfect flavour tagging ≈ “dilution factor” due to mistag rate (w) distance between Brec and Btag decay (≈ tB = 1.548±0.032 ps) time resolution function with parameters The measurement • top contribute is dominant sensible to Vtd element of CKM matrix • one B reconstructed in a flavour eigenstate (Brec) one B only tagged as B0 or B0 from its decay products (Btag) • mixed if same flavor /unmixedif opposite flavor • PDF for the two categories (mixed + / unmixed -) 3 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  4. Likelihood and time independent analysis • Likelihood = sum over all events (mix. & unmix.) and over different tag types (with its own Di) minimized to extract simultaneously Dmd, Di (and some ai) • Time-independent analysis = neglecting background and assuming Brec correct identification, the observed time-integrated fraction of mixed events χobs as a function of B0B0 mixing probability χd can be expressed as: where ωis the mistag rate, and χ d = ½ xd2/(1+xd2) = 0.174 ± 0.009 and xd2=Δmd/Γ 4 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  5. BaBar detector • DCH + SVT 8.9 fb-1 @ Y(4s) + detection and momentum measurement for charged particles 0.8 fb-1 @ 40 MeV below Y(4s) (10.1 ± 0.4) × 106 BB pairs • DCH particle identification (dE/dx) • SVT vertex information Dz ≈ 50 mm for Brec Dz ≈ 100-150 mm for Btag • DIRC particle identification (charged hadrons) • EMC photons, electrons and neutral hadrons • IFR (RPC) muons and neutral hadrons 5 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  6. Particle identification • Electrons • track + EMC (shower shape, E/p) efficiency 92% • dE/dx in DCH mistag (p) 0.3% • Cherenkov angle in DIRC • Muons efficiency 75% • interaction lenghts and # hits in IFR mistag (p) 2.5% • MIP in EMC • Kaons where • Cherencov angle dE/dx • # photons efficiency 85% mistag (p) 5% 6 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  7. Brec Dz Beam Spot pseudo track (Btag) Time resolution s(Dt) dominated by s(Dz) s(Dz)dominated by s(DzBtag) Dz ≈ 260 mm s(Dz) ≈ 180 mm • reconstruct Brec • compute the Btag direction from the energy conservation pseudo-track extrapolated from the interaction point in the Btag direction • Btag vertex = intersection of pseudo-track with all the other tracks • Resolution function is the sum of three gaussians (3 parameters from MC 3 parameters from fit) 7 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  8. Flavor tagging 4 tagging cathegories • 4 strategies to define if Btag is B0 or B0 (pCM>1.1 GeV against charm semileptonic decay) • Lepton tag: presence of a prompt lepton • Kaon tag: total kaons charge not 0 • 2 neural network cathegories: 5 neural network algorithm 4 based on tracks 1 exploits the charge of high momentum particles whose outputs are combained in a single full neural network tagger (xNT [-1,1]) NT1 NT2 8 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  9. Analysis Hadronic decay channels Leptonic decay channels S. Bolognesi & M.A. Borgia CP-violation exam

  10. B0rec D*-p+ ( / r+ / a1+ ) D0p- K+ p- K+ p- p0 K+ p+p- p- K0sp+p- B0rec D-p+ ( / r+ / a1+ ) K+ p- p- K0sp- B0rec J/y K*0 • Cuts against continuum (e+e-→ qq) e+ e- / m+ m- Hadronic decays • Usual cutson intermediate/final particles: • resonances invariant mass (±2s) • vertex c2 • threshold on momenta • opening angle between decay products • B0 candidates characterized by • beam energy sobstituted mass: 5.270 < mES < 5.290 (GeV) • EB0 – Ebeam in Y(4s) CM: |DE| < 3sDE where sDE = E resolution (19 -40 MeV) • normalized second Fox-Wolfram moment (R2=H2/H0) < 0.5 • large angle between thrust axis of B0 and of the remaining tracks (K0s→ p+ p-, p0→ gg) 10 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  11. Backgrounds (HD*) Data extracted from fit to the mES distrbution * HD = Hadronic decays 11 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  12. Usual cutson intermediate/final particles: • invariant mass (±2s) around nominal D0 mass • vertex c2 > 1% • threshold on momenta • D0 candidates: • combination with all charged tracks (pTmin 50 MeV/c and charge opposite to that of the candidate K) => D* candidates • Mass difference: • m(D*-)-m(D0) (± 2.5σ) of the nominal value Semileptonic decays • D* candidates: • D*- , pl > 1.2 GeV back-to-back => cosθ(D*- ) < 0 • Neutrino existence consistency: (solving in the Υ(4s) system frame) 12 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  13. After cuts, 7517±104 B→D*lν events • 3101±64 in the mode • 1986±51 in the mode • 2430±56 in the mode Sample composition • Mass difference distributions for each flavor tagging category Backgrounds are larger for semileptonic modes than for hadronic modes 13 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  14. Background • Three types of background to B0→D*lν: • Combinatorial background • Wrong-lepton background • B+ background • Combinatorial • Due to falsely reconstructed D* candidates • Estimated by fitting Δm(D*-D0) distributions • Gaussian + threshold function with a sharp rise followed by exponential tailoff • Signal region within ±2.5σ of the peak in Δm(D*-D0) • Combinatorial background control sample provided by the sidebands region • 0.150 < Δm(D*-D0) < 0.160 GeV/c2 14 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  15. Wrong-lepton • Wrong-lepton:D* combination with wrong lepton Four potential sources: • ”Fake lepton” (estimated selecting events in which a track candidate has failed very loose lepton criteria is substituted for the lepton candidate) • Real D* from one B + real lepton from the other B (“uncorrelated lepton” bg) (estimated by parity-inversion of the lepton momentum in the Y(4s) frame => control sample) • Events of the type B0→D*DX in which the D decays semi-leptonically produce a non-primary lepton(estimated with Monte Carlo, less than 1% => neglected) • ccevents producing real D* and lepton in back-to-back configuration. (estimated using combinatorial-subtracted off-resonance data) 15 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  16. B+ background Due to B-decays which involve additional final state particles (B→D*(nπ)lν) • B0→D*(nπ)lνthat pass selection criteria are considered as signal (they contribute to the measurement of Δmd and the additional low momentum π does not affect the tagging algorithm) • B-→D*+(nπ)l-νconsidered as bg: they do not oscillate and must be corrected for in extracting Δmd and their mistag rate may differ from that of B0 decays as well 16 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  17. Results Likelihood fit results Time integrated method results Combined results S. Bolognesi & M.A. Borgia CP-violation exam

  18. Backgr. treatment (LM*) • PDF must be extended withbackground contributions (where b = background sources i = tagging cathegories) • f = fraction of signal or background events • B =empirical description of Dt distribution in background events • Fit to the background control samples (mES sidebands) to determine time dependence, dilution factor, resolution function: three components • zero lifetime: • non zero lifetime, no mixing: • non zero lifetime with mixing: for each background source * LM = Likelihood method 18 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  19. Dt distribution (LM*) HADRONIC SAMPLE LEPTONIC SAMPLE * LM = Likelihood method 19 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  20. Time dependent asymmetry a(Dt) (LM*) HADRONIC SAMPLE LEPTONIC SAMPLE * LM = Likelihood method 20 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  21. Fit results (LM*) • Identical analysis procedure on MC data with detailed detector simulation: • fit results consistent with a priori insterted value and MC truth information • observed differences applied as a correction to the measured values * LM = Likelihood method 21 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  22. Systematic errors (LM*) HADRONIC SAMPLE • Statistical error dominant, followed by MC correction uncertainties (Dt for Dmd) LEPTONIC SAMPLE • Systematic error dominant due to big uncertanties in background characteristic (Dt for Dmd) * LM = Likelihood method 22 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  23. Time integrate (single bin) method • First aim: measurement of themistag rate • Main feature: restriction of the sample to events in a single optimized Δt interval (| Δt | < 2.5 ps because of Babar vertex resolution) Events with | Δt | > 2.5 ps have on average equal numbers of mixed and unmixed events => contribute nothing to the determination of the mistag rate Considering the different background contribution: => fs, fβ = fraction of signal and background source χβ = fraction of mixed events in each background source χobs = Observed fraction of mixed events χ d = ½ xd2/(1+xd2) and xd2=Δmd/Γ, while χ’d takes into account the sample restriction 23 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  24. Results • Hadronic Signal region defined as events with mES > 5.27 GeV/c2 Fraction of mixed events in the background determined by tag category using the sideband control sample, mES< 5.27 GeV/c2 • Semileptonic - bg evaluated for each tag category and for each D0 decay - mistag fractions calculated individually by tag category and decay mode using the Eq. shown - combination of the different decay modes, using the statistical errors to weight the individual results 24 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  25. Systematic errors Sources of systematic error for the mistag measurement on the hadronic and semileptonic samples • Hadronic • Semileptonic 25 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  26. Comparison between the two methods Combining results for the hadronic and semileptonic B samples for the likelihood fit method and for the single-bin method and taking into account the systematic errors Preliminary mistag rate Single bin fit uses a subset of the sample used for the other method The two sets of results are uncorrelated Good agreement between the two methods. Final result: Q ≈ 0.28 26 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  27. Final result • Hadronic sample: • Leptonic sample: 27 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

  28. Back-up slides S. Bolognesi & M.A. Borgia CP-violation exam

  29. Fox-Wolfram moments The Fox-Wolfram moments   ,                , are defined by    is the opening angle between hadrons and      the total visible energy of the event        are the Legendre polynomials To the extent that particle masses may be neglected,         . It is customary to normalize the results to    , i.e. to give                . 2-jet events tend to give          for even and      for odd. 29 S.Bolognesi & M.A. Borgia CPV exam (27 July 2007)

More Related