1 / 30

HBD performance study during run9 pp 200GeV

HBD performance study during run9 pp 200GeV. Katsuro Nakamura. HBD Sdphi , Sdz stability check during Run-9. Sdphi , Sdz … distance between track and cluster, normalized with RMS used whole electron tracks in EWG_DST on CCJ. electron track selection. abs(bbcz)<20cm quality==31||51||63

saki
Download Presentation

HBD performance study during run9 pp 200GeV

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. HBD performance study during run9 pp 200GeV Katsuro Nakamura

  2. HBD Sdphi, Sdzstability check during Run-9 • Sdphi, Sdz … distance between track and cluster, normalized with RMS • used whole electron tracks in EWG_DST on CCJ

  3. electron track selection • abs(bbcz)<20cm • quality==31||51||63 • pt>0.15GeV/c • n0>=2 • prob>0.01 • abs(emcsdphi_e)<4, abs(emcsdz_e)<4 • e/p>0.6 • hbdsize>=2

  4. Sdphi fitting • fit with gaus + pol1 • check the run dependence of mean and sigma of gaus

  5. Sdphi 0.0 < pt < 0.5 GeV/c 0.5 < pt < 1.0 GeV/c mean mean sigma sigma

  6. Sdphi 1.0 < pt < 1.5 GeV/c 1.5 < pt < 2.0 GeV/c mean mean sigma sigma

  7. Sdz fitting • fit with gaus + pol1 • check the run dependence of mean and sigma of gaus z

  8. Sdz 0.0 < pt < 0.5 GeV/c 0.5 < pt < 1.0 GeV/c mean mean • displacement • of mean value • recalibrate this value • (but this displacement is enough small to be ignored.) sigma sigma dynamical moving during run-9 ?

  9. Sdz after private recalibration 0.0 < pt < 0.5 GeV/c 0.5 < pt < 1.0 GeV/c mean mean new_sdz = (sdz - mean)/sigma sigma sigma

  10. Sdz 1.0 < pt < 1.5 GeV/c 1.5 < pt < 2.0 GeV/c mean mean sigma sigma

  11. Sdz after private recalibration 1.0 < pt < 1.5 GeV/c 1.5 < pt < 2.0 GeV/c mean mean sigma sigma

  12. Sdz private recalibration parameters

  13. HBD calibration check for electron track

  14. electron track selection • abs(bbcz)<20cm • quality==31||51||63 • pt>0.15GeV/c • n0>=2 • prob>0.01 • abs(emcsdphi_e)<4, abs(emcsdz_e)<4 • e/p>0.6 • hbdsize>=2 • abs(hbdsdphi)<4, abs(hbdsdz)<4

  15. electron track distribution pad id (0-origin): 96 97 98 …………… Sect 9 South • electron track dist. on sect9 is almost uniform. fill hbdcharge to the nearest pad from p = {phbdx, phbdy, phbdz}. ///////////////////////////////// int padnum = NearestPad(phbdx,phbdy,phbdz); hist[padnum]->Fill(hbdcharge); /////////////////////////////////

  16. I found the update of HbdWisClustrizer.C on CVS • HbdWisClustrizer.C • define clustering algorithm • HbdWisClustrizer.C –r1.12 (previously used) • cause nonuniform cluster peak distribution • detail is in slide sent to electron-l on 5/ 6/ 2010 •  update • HbdWisClustrizer.C –r1.16 (latest version) • looks fine!

  17. peak pad distribution after update pad id (0-origin): 96 97 98 …………… Sect 9 South • reasonable distribution fill hbdcharge to the peak pad in the cluster ////////////////////////// int max_pad = peak pad in the cluster; hist[max_pad]->Fill(hbdcharge); //////////////////////////

  18. sector-by-sector HBD charge dist. for single e and double e

  19. Dalitz Electron Pair Selection • Electron Selection • bbcz < 20 cm • quality==31||51||63 • pt>0.15GeV • n0>=2 • abs(emcsdphi)<4.0 , abs(emcsdz)<4.0 • prob>0.01 • e/p>0.6 • hbdsize>=2 • abs(hbdsdphi)<4.0 , abs(hbdsdz)<4.0 • Pair Selection • Mass<0.15GeV/c^2  select Dalitz region • PhiV cut  reject conversion pairs • Unlike sign

  20. Single e and Double e definition Single Double hbd_id(trk_i) == hbd_id(trk_j) trk_i trk_i • hbd_id(trk_i) != hbd_id(trk_j) trk_ j π π trk_ j notice: used HbdWisClusterizer.C –r1.12 in the following analysis

  21. HBD charge distribution (East Arm)for Dalitz event (Raw dist.) Sect Sect blue: single red : double 0 3 1 4 5 2 Direction N N S S

  22. HBD charge distribution (West Arm)for Dalitz event (Raw dist.) Sect Sect blue: single red : double 6 9 7 10 11 8 Direction S S N N

  23. HBD charge distribution (East Arm)for Dalitz event (normalized) Sect Sect • normalized with integral of entry blue: single red : double slightly worse slightly worse 0 3 difficult to use 1 4 5 2 Direction N N S S

  24. HBD charge distribution (West Arm)for Dalitz event (normalized) Sect Sect • normalized with integral of entry blue: single red : double 6 9 7 10 11 8 Direction S S N N

  25. comparing with the distribution made by Ilia pair mass ~ 0 field ~ 0 • good agreement e HBD charge distribution e+ HBD charge distribution D e- π Dalitz event Dalitz event single double by I.Ravinovichi

  26. For the next step • study Pt dependence of the ratio between single and double. • low pt  2 clusters tend to be separated • high pt  2 clusters tend to be merged • decide charge threshold sector-by-sector

  27. backup slide

  28. HBD scintillation charge distribution • fit with a0*exp(-x/a1) • a0 = const, a1 = slope fit on 2.5 ~ 5 [p.e.]

  29. run dependence of fitting slope • it’s stable • since it’s calibrated • no large difference on pad-by-pad • also “const” has no large difference HBD sect9 Yellow: pad107 Red: pad127 Blue: pad106 Green: pad105

  30. central pad in cluster pad id (0-origin): 96 97 98 …………… Sect 9 South • you can see the pad dependence of yielded charge

More Related