1. W  mu analysis status
M.Beaumier (UCR), D. Jumper(UIUC) , C.Kim(KU/RIKEN), A.Meles(NMSU), F. Giordano(UIUC), R.Hollis(UCR), S. Park(SNU/RIKEN), R.Seidl(RIKEN),

2. W kinematics
2019/1/18

3. Pythia: quark flavors and x ranges
Proton 1
Proton 2
Proton 1
Proton 2
Central
Forward
W- m case: almost entirely forward d quarks and backwards 𝑢
W+ m case: predominantly forward
𝑑 quarks and backwards u
2019/1/18

4. Forward W analysis – muon BG
W momentum cannot be ignored
Jacobian peak only visible for forward moving W+ decaying at close to 90 degrees
Need to understand and suppress backgrounds lacking distinct signal signature
Pythia 6.4, muons in rapidities 1.2 – 2.4
2019/1/18

5. Forward W analysis – hadron BG
Large amount of low pT hadrons deacying within MuTr volume
Dominant background source even after various tight cuts
2019/1/18

6. 2019/1/18

7. Reducing the background components
H. Oide
Apply sensitivity to multiple scattering to reduce hadronic backgrounds
Initially (2011) cut based removal of backgrounds
Improved by using likelihood based pre-selection and unbinned max likelihood fit
2019/1/18

8. Multivariate analysis
Define Wness likelihood using 5-9 kinematic variables based on signal MC and data ( = mostly BG)
2019/1/18

9. Wness cross check and relative contributions
2019/1/18

10. Wness summary Cross checked Using latest Run13 based MC
Available w/o FVTX, with FVTX (when available) or with FVTX and FVTX cone multiplicity
2019/1/18

11. S/BG fits
After preselecting W like events (>0.92) perform unbinned max likelihood fit in independent variables rapidity and effective bending angle
Full MC
Test
2019/1/18

12. Fit results (incl FVTX cone)
Changes: Run13 related simulations (for muon background and signal) used,
Rapidity dep trigger efficiencies
Still needed:
Pileup corrected luminosities,
Muon BG normalization via dimuons
2019/1/18

13. Fit results (incl FVTX matching)
Changes: Run13 related simulations (for muon background and signal) used,
Rapidity dep trigger efficiencies
Still needed:
Pileup corrected luminosities,
Muon BG normalization via dimuons
2019/1/18

14. Fit results (no FVTX)
Changes: Run13 related simulations (for muon background and signal) used,
Rapidity dep trigger efficiencies
Still needed:
Pileup corrected luminosities,
Muon BG normalization via dimuons
2019/1/18

15. Analyzer comparison
Still not all use Run13 simulations, trigger efficiencies, different muon scaling numbers
2019/1/18

16. Analyzer comparison
2019/1/18

17. Old vs new S/BG extraction
S/BG axis
Green: Unbinned MaxLikelihood fit, based on extrapolated data shapes, mu bg (fixed) and signal shapes, Factor 2 error band ,
Magenta: Signal yield (MC)/ (Data – Signal yield)
Expected turn-on of S/BGs and of some asymmetries,
Factor of >2 discrepancy between two S/BG methods
2019/1/18

18. The Pepsi challenge Main goal of adding simulations
produce weighted mock data set
Extract probability densities (and compare to truth)
Fit signal (and compare to truth)
Extract bg corrected asymmetries
Compare to introduced asymmetries
Work is ongoing with run11 samples, run13 hadron backgrouns still running, results soon
2019/1/18

19. Some example fits
2019/1/18

20. Some tendency of actual fakes to become narrower than linear extrapolation from lower wness predicts
2019/1/18

21. Run11 pepsicheck fit summaries
Various relative scales for signal and hadronic backgrounds, various wness cuts
2019/1/18

22. Chong Kim
2019/1/18

23. Absolute normalization of muon backgrounds via di-muons
Sanghwa Park, Francesca Giordano
Absolute normalization of muon backgrounds via di-muons
Cross checked with Hide (run11) and Francesca(run12)
2019/1/18

24. S/BG conclusions S/BG fits close to final cross check
Some overestimation seen in fully MC based fits
Size understood
Within current conservative factor 2 applied on S/BG
Improving dw23 extrapolation to reduce uncertainty
2019/1/18

25. Asymmetries
Cross checked between Analyzers (so far Francesca and Ralf)
2019/1/18

26. Daniel Jumper
Bunch Shuffling
2019/1/18

27. Rate and Run range comparisons
Separate runs in three ranges accd to rate or runnumber
Compare the resulting asymmetries for systematic shifts
2019/1/18

28. MC signal and asymmetry addition
2019/1/18

29. 30% charge mis id
2019/1/18

30. FOM plots
2019/1/18

31. Wness > 0.92
2019/1/18

32. Wness > 0.95
2019/1/18

33. Wness > STAR
2019/1/18

34. Wness >0.95 in one bin and run 12
2019/1/18

35. Asymmetry conclusions
Asymmetries cross checked
Bunch shuffling ok
Smallness of asymmetries NOT due to charge misidentification
Little change of asymmetries since last summer but still unexpectedly small in some regions
2019/1/18

36. Analysis status towards finalization
Run11
Run12
Run13
Efficiencies
Trigger efficiencies
RPC efficiencies
Reconstruction efficiencies (needs MC from Ref run and relative run-by-run part)
Normalizations
Muon BG scale factors
Pile-up correction for Lumi
S/BG extraction
Pepsi challenge
Charge mis-reconstruction
Cross check
2019/1/18

37. Analysis status continued
Run11
Run12
Run13
Momentum smearing
Old vs new S/BG calculation
Reference run dependence
Effect of FVTX inclusion
Asymmetries
Min Wness dependence
Rate/run dependence
Pt dependence
MC signal addition
Xcheck
FOM optimization
Bunch shuffling
2019/1/18

38. Pile-up correction Direct BBCnovtx live counts from db gives 228 pb-1
Still trying to figure out how to correctly calculate, references from K. Karatsu’s Thesis and the run9 We analysis notes (891,902,..)
The correct BBC fire efficiency per crossing seems to be:
Average m becomes 0.74
With kN = kS = and obtained m one gets (accd to eq C2):
Do those numbers require actual crossing (~109/120) and livetime (~0.9) correction? (300246)
Need to check current kN,S, total xsec at 510 GeV and correct m calculation
2019/1/18

39. Sanghwa Park
Pile-up correction
2019/1/18

40. Absolute signal efficiencies, W-, pt 16-60, wness >0.92
RHICBOS all rapidities and momenta
RHICBOS 1.1<|h|<2.5 and GeV
2019/1/18

41. Absolute signal efficiencies, W+, pt 16-60, wness >0.92
RHICBOS all rapidities and momenta
RHICBOS 1.1<|h|<2.5 and GeV
2019/1/18

42. Potential improvements
Several suggestions from HI single muon analyzers:
P*Dq is P scaled theta difference between vertex and Station 1 (multiple scattering)
#MuTr hits per track improves smearing a little but similar loss in efficiency for signal and hadrons
Others also under consideration, but generally high wness cuts leave very little room in distributions to distinguish signal from hadrons
Low pt, all wness
high pt, high wness
high pt, high wness
2019/1/18

43. Summary and Outlook
We have been working hard to understand all the issues
Most aspects of Signal to background extraction, asymmetries, etc understood well
Asymmetries are very stable to all these cross checks, etc
Extract cross sections as ultimate cross check
Many more studies not shown: Trigger- and RPC-efficiencies, rel lumi, pT and wness dependence of S/BG and asymmetries,…
2019/1/18

44. All wness, Gev

45. Same but hadronic pTgen separated

46. >0.5

47. >0.7

48. >0.9

49. >0.9 and separated ptbins

50. Generated pt all wness, 16-60

51. Generated pt, wness >0.9

53. Min Pt dependence Expected turn-on of S/BGs in old method, but
Not in new method
2019/1/18

54. Vs MC addition
Added fixed amount of Signal MC with known asymmetries (red lines)
2019/1/18

55. Vs MC addition + corrected
2019/1/18

56. Asymmetries vs ranges
2019/1/18

57. Asymmetries vs ranges
2019/1/18

58. Asymmetries (1 eta bin) North W+ Asymmetries Entries North W-
AL blue
AL yellow
ALL
Ralf
Francesca using Ralf trees
Francesca using Daniel trees
Entries
N--
N-+
N+-
N++
574
509
496
549
576
508
495
North W-
Asymmetries
AL blue
AL yellow
ALL
Ralf
Francesca using Ralf trees
Francesca using Daniel trees
Entries
N--
N-+
N+-
N++
428
390
380
421
427
391

59. Asymmetries (1 eta bin) South W+ South W- AL blue AL yellow ALL Ralf
Francesca using Ralf trees
Francesca using Daniel trees

60. Combined Asymmetries W+ W- AL eta>0 AL eta<0 Ralf
Francesca using Ralf trees / /
Francesca using Daniel trees W-
AL eta>0
AL eta<0
Ralf
Francesca using Ralf trees / /
Francesca using Daniel trees

61. Asymmetries October’13
Raw asymmetries cross checked between Francesca and Ralf
2019/1/18

62. Latest Asymmetry plot
Latest asymmetries, SBGs (new), pt smearing and Z contribution taken into account , raw asymmetries cross-checked between Francesca and me on same sample
2019/1/18

63. Asymmetries eta bin=1 North W+ North W- AL blue AL yellow ALL Ralf
Francesca using Ralf trees
Francesca using Daniel trees

64. Asymmetries eta bin=1 South W+ South W- AL blue AL yellow ALL Ralf
Francesca using Ralf trees
Francesca using Daniel trees

65. Combined Asymmetries eta bin=1W+
AL eta>0
AL eta<0
Ralf
Francesca using Ralf trees / /
Francesca using Daniel trees W-
AL eta>0
AL eta<0
Ralf
Francesca using Ralf trees / /
Francesca using Daniel trees

66. Asymmetries eta bin=2 North W+ Asymmetries Entries North W-
AL blue
AL yellow
ALL
Ralf
Francesca using Ralf trees
Francesca using Daniel trees
Entries
N--
N-+
N+-
N++
286
236
234
277
287
235
North W-
Asymmetries
AL blue
AL yellow
ALL
Ralf
Francesca using Ralf trees
Francesca using Daniel trees

67. Asymmetries eta bin=2 South W+ South W- AL blue AL yellow ALL Ralf
Francesca using Ralf trees
Francesca using Daniel trees

68. Combined Asymmetries eta bin=2W+
AL eta>0
AL eta<0
Ralf
Francesca using Ralf trees / /
Francesca using Daniel trees W-
AL eta>0
AL eta<0
Ralf
Francesca using Ralf trees / /
Francesca using Daniel trees

69. Asymmetries eta bin=3 North W+ Asymmetries Entries North W-
AL blue
AL yellow
ALL
Ralf
Francesca using Ralf trees
Francesca using Daniel trees
Entries
N--
N-+
N+-
N++
198
188
200
201
199
North W-
Asymmetries
AL blue
AL yellow
ALL
Ralf
Francesca using Ralf trees
Francesca using Daniel trees
Entries
N--
N-+
N+-
N++
187
157
168
178
186
158

70. Asymmetries eta bin=3 South W+ South W- AL blue AL yellow ALL Ralf
Francesca using Ralf trees
Francesca using Daniel trees

71. Combined Asymmetries eta bin=3W+
AL eta>0
AL eta<0
Ralf
Francesca using Ralf trees / /
Francesca using Daniel trees W-
AL eta>0
AL eta<0
Ralf
Francesca using Ralf trees / /
Francesca using Daniel trees

72. RPC efficiency
Detective absolute efficiency (using hodoscope for RPC3):
no-RPC triggers, basic cuts, wness_noRPC >0.2
RPC1 South 74% +/- 0.9% RPC1 North 60% +/- 0.9%
RPC3 South 80% +/- 11%
RPC3 North 77% +/- 8%
Effective efficiency:
all triggers, basic cuts, wness>0.92
RPC1 South RPC3 South RPC1 North RPC3 North

73. S/BG for various arms
2019/1/18

74. One example of asymmetries and S/BGs
2019/1/18