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Breco Analysis and PID Studies at INFN Sez. Perugia Meeting on May 11, 2010

This analysis focuses on Particle Identification (PID) studies and Electron-Positron Interaction at the INFN Sez. Perugia meeting. It includes discussions on Breco reconstruction efficiency comparison, Bsig reconstruction efficiency comparison, charged Breco selection, and conclusions drawn from the detector configuration used. Various PID selectors were tested, and analysis strategies were outlined for different signal MC and generic MC samples. The study emphasizes Breco reconstruction level results and the need for further investigations to improve efficiency gains and evaluate background contamination. The description includes details on mES distributions, Breco selection modes, and next steps in the analysis process.

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Breco Analysis and PID Studies at INFN Sez. Perugia Meeting on May 11, 2010

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  1. Had Breco analysis: PID studies Elisa Manoni INFN Sez. Perugia DGWG meeting, May 11, 2010

  2. Outline • PID studies : DG_4 samples (generic + signal), FWD TOF vs DCH for • Breco reconstruction efficiency comparison • Bsig reconreconstruction efficiency comparison (B+K+,B+K*+, B+K*0) • the simplest charged mode: Breco+D0(K+p-)p+ • conclusions

  3. Detector geometry used 3 • DetectorConfiguraztion_4 • SVT_L0 + fwd PID + bwd EMC

  4. Analysis strategy • February production tuples: • B+K(*) signal MC (w bkg mixing) • B+B- and B0B0bar generic MC (w/o bkg mixing) • Two FWD PID configuration tested • DCH • DCH + FWD TOF • 18 • PID selectors used : TIGHT selectors for K from both signal and tag side K PID: • kaons in the DIRC region: TableBased selectors (performances form BaBar) • kaons in the fwd region: * TableBased selectors with performances from TOF FullSim studies (DCH+TOF) * TableBased selectors with performances from BaBar (DCH)

  5. Charged Breco selection • purity > 50% && Breco charge = ± 1 nb: e = Nselected/Ngen (not splitting combinatoric and peaking component in B+B- sample)

  6. Charged Breco mES distributions - DCH * DCH+ TOF B+B-_generic (NDCH+TOF - NDCH)/NDCH+TOF B+B-_generic B0B0bar_generic

  7. Neutral Breco selection • purity > 50% && Breco charge = 0 nb: e = Nselected/Ngen (not splitting combinatoric and peaking component in B0B0 sample)

  8. neutral Breco mES distributions - DCH * DCH+ TOF B0B0bar_generic (NDCH+TOF - NDCH)/NDCH+TOF B0B0bar_generic B+B-_generic

  9. B+K+ selection • purity > 50% && Breco charge = ± 1 • 5.27 < mES < 5.288 GeV/c2 • Bsig charge + Breco charge =0 • Bsig+K+ NB : NDCH and NDCH+TOF compatible within statistical error for all samples

  10. B+K*+(K+p0) selection • purity > 50% && Breco charge = ± 1 • 5.27 < mES < 5.288 GeV/c2 • -0.09 < deltaE < 0.05 GeV • Bsig charge + Breco charge =0 • Bsig+K*+(K+p0) NB : NDCH and NDCH+TOF compatible within statistical error for all samples

  11. B0K*0 selection • purity > 50% && Breco charge = 0 • 5.27 < mES < 5.288 GeV/c2 • -0.09 < deltaE < 0.05 GeV • Bsig charge + Breco charge =0 • Bsig0K*0(K+p-) NB : NDCH and NDCH+TOF compatible within statistical error for all samples

  12. the simplest charged mode: Breco+D0(K+p-)p+ • purity > 50% && Breco charge = ± 1

  13. Conclusions and next steps • DG_4 with DHC and DG_4 with DGC+TOF configs compared • Breco recontruction :~ 1.6% gain in BB generic samples; higher gain in signal samples (low statistics) • gain seem to be constant in the mES region, need to investigate this further • Breco selection : too low statistics to evaluate FWD TOF benefits • Breco+D0(K+p-)p+ mode: at Breco reconstruction level, same results wrt all-modes sample • further studies to evaluate if the efficiency gain is higher for (mES) peaking wrt combinatoric Breco or not (mES fits, mctruth studies,..) • need to quantify the bg contamination from K-misID • (an update on bkg characterization studies may be given at Thursday FastSim meeting)

  14. Back-up slides

  15. To do list • DGWG related items • further investigation on bkg characterization • PID studies comparing DG_3/DG_4 and loose/tight kaon PID • code related items • fix duplicate Breco bug • understand some FastSim/FullSim disagreement • refine and commit validation code • wiki documentation (I’ve easily started writing it)

  16. generated BaBar samples (BK*nn analysis)

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