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-B tagging in D0

-B tagging in D0. Ultimate goal:  b-jet cross section at s = 2.0 TeV Approach Current results Future plans. Approach. Use properties of  and jet (only) Discriminate between background and signal Current discriminators: P muon P TRel between  and jet P LRel between  and jet

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-B tagging in D0

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  1. -B tagging in D0 Ultimate goal: b-jet cross section at s = 2.0 TeV • Approach • Current results • Future plans -B tagging status

  2. Approach • Use properties of  and jet (only) • Discriminate between background and signal • Current discriminators: • Pmuon • PTRel between  and jet • PLRel between  and jet • Use Run I experience! PTRel  jet -B tagging status

  3. Background • /Ks decaying to  in calorimeter • Punch through • W  (ttbar) -B tagging status

  4. Data samples • ttbar, 5000 events • Biases in signal and background? • Waiting for QCD sample • Problem: only 11% of b quarks decay to  • Need big sample -B tagging status

  5. Results - PTRel MC blue: b purple: c bc green: background  = MC  jet = MC -parent -B tagging status

  6. Results - PTRel Reco jet, MC  -B tagging status

  7. Results - PTRel Reco jet, Reco  -B tagging status

  8. Results - P MC -B tagging status

  9. Results - P Reco -B tagging status

  10. Conclusion • Jet direction not always a good measurement for heavy quark direction • Muon gets poorly reconstructed in some cases • Need to debug reconstruction code • Currently hard to get discriminants with reconstructed values -B tagging status

  11. Outlook • Improve reconstruction • Investigate performance of discriminators • From March 1st: debug real data • From ~July 2001: • Analyze real data • Calculate cross section -B tagging status

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