1 / 30

dN/d  and dN/dp T analysis status

dN/d  and dN/dp T analysis status. Gabor Veres for the working group QCD meeting, Jan 12, 2010. Developments since preapproval. Studies on Zero Bias data, trig. eff. measurements Changed trigger/event selection strategy Using 20 times more statistics for 900 GeV data

herbertwashington
Télécharger la présentation

dN/d  and dN/dp T analysis status

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. dN/d and dN/dpTanalysis status Gabor Veres for the working group QCD meeting, Jan 12, 2010

  2. Developments since preapproval • Studies on Zero Bias data, trig. eff. measurements • Changed trigger/event selection strategy • Using 20 times more statistics for 900 GeV data • Results at the world-record collision energy, 2.36TeV • Decreasing systematic errors for the trigger-related uncertainty, looking at the SD fraction in data

  3. BSC: MC simhits, new measurement. • Inner segments: arc-shape is true • Outer paddles: ~OK, only 2% loss • Overall: (31*0.72+2*0.28)=~23% hit loss w.r.t CMSSW

  4. Trigger efficiencies • Without any other event selection, 900 GeV PYTHIA. Very little change

  5. Crosstalk, conversions • There is NO insulation between the two outer channels in one paddle. • This can cause bit 41 fire more often, even on a single hit • Al: inner: 2-4 mm, outer: 2 mm • Scintillator thickness: 10 mm, also incorrect in CMSSW (13 mm) • Photon conversion: 5-10% probability in the Al

  6. Trigger: Zero Bias study • Run 124022 • Paired beam bunches: 151 || 2824 • Pixel – vertex compatibility cut • Valid vtx: 495 events • Full collision definition: 402 events

  7. Min bias Zero bias Collision selection • Select events with valid vertex as collision events • Clean event selection

  8. ‘Trigger’ rates Check “Trigger” rates relative to events with valid vertex to measure efficiency from data • BSC: bits 34, 40, 41 • HF Tower Count above threshold: One Hit OR, One Hit Coinc., Two Hit Coinc.

  9. ‘Trigger’ efficiencies Trigger Efficiency relative to events with valid vertex • MC reference: Pythia D6T, default SD fraction • HF Trigger is very well described by MC: Efficiency as well as Threshold ratios Efficiencies Ratios

  10. New Trigger/online selection The BSC bit 34 efficiency is >98% (after requiring a vertex) • Strategy: analyze Min Bias data (triggered by BSC bit34), and select on HF One Hit Coincidence [instead of bit 40] • dNdEta results agree within 1% at when comparing the BSC and HF event selection

  11. Changing from BSC to HF ● Open Blue circle: results from paper (BSC 40) ● Red circle: Use HF Tower coincidence (# of tower > 3 GeV) threshold >= 1. ● Results from both trigger are consistent in 1% level.

  12. Fits to data: total diffractive fraction (SD+DD) BSC bit 34 + Vertex comp. cut Run 124023 900 GeV PYTHIA PYTHIA 22.7+-3.4% Truth: 22.7% [Using the HF] PHOJET PHOJET 23.6+-4.1% Truth: 20.1%

  13. Diffractive component from data

  14. SD and DD fraction uncertainty The trigger efficiencies for SD, DD, ND are 0.165, 0.306, 0.885. The pythia fractions of SD, DD, ND are 0.23, 0.12, 0.65. The inel trigger eff therefore is: 0.165*0.23+0.306*0.12+0.885*0.65 = 0.65 The SD fractions are: phojet: 21%, pythia: 23%, UA5: 15.3% The DD fractions are: phojet: 8%, pythia: 12%, UA5: 8% I.e. taking the largest spread, we get +-4% for SD and +-2% for DD. How much change does this cause in dN/deta? SD: +-4% in the fraction means: 0.04*0.165/0.65 = 1.0% change in dN/deta DD: +-2% in the fraction means: 0.02*0.306/0.65 = 1.0% change in dN/deta Underestimated SD and DD both leads to too small dN/deta. We can be conservative and add them linearly to get the full error: 1.0+1.0 = 2.0%

  15. Pixel cluster charge distributions Good agreement with MC 2.36 TeV 900 GeV

  16. Pixel cluster charge distributions Good agreement with MC 2.36 TeV 900 GeV

  17. Angle corrected cluster charge • Distribution of the pixel cluster charge corrected by η in layer 1 • Apply common event selection on MC and data 2.36 TeV 900 GeV

  18. Cluster size distributions 2.36 TeV 900 GeV

  19. Cluster counting results 900 GeV 2.36 TeV

  20. Tracklets: 900 GeV x-check Use Run 124023 Lumi section 41-96. Applied the same event selection. 40K events passed our selection criteria. Use MC sample corresponds to Run 124023 with the correct beam spot. The results are consistent with Run 123596

  21. Tracklets: 2.36 TeV Use Run 124120. (2.36 TeV), applied the same event selection. ~11K events passed our selection criteria. Corrected by PYTHIA 2.36 TeV D6T sample with correct beam spot.

  22. dN/deta vs root(s)

  23. Tracking 900 GeV (other run + higher statistics) Run 123596 (the standard) Run 124023, newly added (red colored points and lines) 2.36 TeV (new): Run 124120 Mean pT = 0.51 GeV/c with similar errors as 900 GeV

  24. 900 GeV: more statistics

  25. 900 GeV: more statistics

  26. Tracking: 900 GeV more statistics

  27. Tracking: 2.36 TeV

  28. 2.36 TeV: comparison of methods

  29. Mean pT vs root(s)

  30. Summary • Successful winter-break, active work • Extension of the paper, 16 pages now • Large part of comments addressed • Approval session: tomorrow, CMS plenary

More Related