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B S  D S  channel A.Giassi, A.Starodumov INFN-Pisa

B S  D S  channel A.Giassi, A.Starodumov INFN-Pisa. Physics Simulation Reconstruction Objects, groups, tools Future. A.Giassi, A.Starodumov / INFN-Pisa. 15/01/03, TISB, Florence. Physics I. Channel: B S  D S   f+ + K+K++

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B S  D S  channel A.Giassi, A.Starodumov INFN-Pisa

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  1. BSDS channelA.Giassi, A.StarodumovINFN-Pisa • Physics • Simulation • Reconstruction • Objects, groups, tools • Future A.Giassi, A.Starodumov / INFN-Pisa 15/01/03, TISB, Florence

  2. Physics I • Channel: BSDS f++ K+K++ • Reasons: observation of BS-BS oscillations, to measure mass difference DmS, |Vts|/|Vtd| • Status of DmS: - World average (LEP, CDF, SLD): 95% CL limit 14.9ps-1, sensitivity 19.3ps-1 - SM expectations:  20ps-1 at 95% CL - A.Giassi, A.Starodumov / INFN-Pisa 15/01/03, TISB, Florence

  3. Physics II • Significance of the observation: Sig =f(e,D2,DmS,st,S,S/(S+B)) • e - taggingeff., D - dilution, st - proper time res., • S - number of signal and B - background events • Prospects:sensitivity limits forNS/NS+B=1:2, CDF (2fb-1, S=75K, eD2=.11, st=45fs) - 45ps-1 CMS (20fb-1, S=4.5K, eD2=.31, st=70fs) - 30ps-1 A.Giassi, A.Starodumov / INFN-Pisa 15/01/03, TISB, Florence

  4. Simulation • PYTHIA 6.158, CMSIM125, ORCA6.0.2 • Signal: Pisa CMS farm • Background: mupt4 sample (MB) • Castor • Single  sample for background: 30K • BsDs sample for signal: 10K A.Giassi, A.Starodumov / INFN-Pisa 15/01/03, TISB, Florence

  5. Reconstruction • Full reconstruction with ORCA6.1.1 • SW tools: - 1 LT  - 1 LT jet + Jet energy correction - Seed generator: pixel lines - Partial track reconstruction - Combinatorial resonance reco (Zhen) - SV reconstruction: linear vertex fit A.Giassi, A.Starodumov / INFN-Pisa 15/01/03, TISB, Florence

  6. Objects, groups, tools • Objects: , Bs, Ds, and  resonances, jets • Groups: b/tau, , Jetmet • Analysis tool: PAW A.Giassi, A.Starodumov / INFN-Pisa 15/01/03, TISB, Florence

  7. Future • Number of events: Signal ~30K, Bkg ~ 100K • Additional SW tools: - -tracker matching, - 2 LT  and jet, - Primary Vertex reconstruction • Tune the cuts depending on Level-1 trigger • HLT time optimization • Off-line analysis • HLT for the Ds+ A.Giassi, A.Starodumov / INFN-Pisa 15/01/03, TISB, Florence

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