2009 Lambda D_LL @ 200 GeV



Presentations: 


Run QA by Qinghua Xu (SDU) 
 

1) Preliminary results

Preliminary released on SPIN 2012 and DNP 2012. 

Presentation @ SPIN 2012 by Jian Deng (SDU)
Presentation @ DNP 2012 by Ramon Cendejas (UCLA)

2) Lambda reconstruction

 
1. Cuts setup:
lam_pt dac2 dcaV0 dca_p dca_pi nsigma dlength cosrp jet_det_eta jet_Rt jet_dr
2,3 <0.7 <1.2 >0.2 (0.4,30) <3 (3,130) >0.98 (-0.7,0.7) (0.01,0.94) <0.7
3,4 <0.5 <1.2 0 (0.4,30) <3 (3.5,130) >0.98 (-0.7,0.7) (0.01,0.94) <0.7
4,5 <0.5 <1.2 0 (0.4,30) <3 (4,130) >0.98 (-0.7,0.7) (0.01,0.94) <0.7
5,8 <0.5 <1.2 0 (0.4,30) <3 (4.5,130) >0.98 (-0.7,0.7) (0.01,0.94) <0.7

2. Analysis plots: 

cos\theta^* vs mass by pT .pdf 
slope band from K0-short: .pdf 

3. Invariant Mass distribution and background estimation, side band vs. fitting 

All 4 lambda pT bins, fired jet only .pdf .txt no fired jet required .pdf .txt  
4. Extract Lambda and Anti-Lambda yields for 20 cos \theta^* , for 4 spin status, for JP1 and L2JetHigh triggers. 
Lambda pT Lambda JP1 AntiLambda JP1 Lambda L2JetHigh AntiLambda L2JetHigh
2, 3 FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html
3, 4 FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html
4, 5 FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html
5, 8 FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html
 
5. Extract DLL from the spin sorted Lambda/AntiLambda yeilds in each cos \theta^* bin, for each trigger
Lambda pT Lambda JP1 AntiLambda JP1 Lambda L2JetHigh AntiLambda L2JetHigh
2, 3 FiredJet .html  noFire .html FiredJet .html  noFire .html FiredJet .html  noFire .html FiredJet .html  noFire .html
3, 4 FiredJet .html  noFire .html FiredJet .html  noFire .html FiredJet .html  noFire .html FiredJet .html  noFire .html
4, 5 FiredJet .html  noFire .html FiredJet .html  noFire .html FiredJet .html  noFire .html FiredJet .html  noFire .html
5, 8 FiredJet .html  noFire .html FiredJet .html  noFire .html FiredJet .html  noFire .html FiredJet .html  noFire .html

6. Fit DLL vs. cos \theta^* to extract the "DLL"


Lambda pT Lambda JP1 AntiLambda JP1 Lambda L2JetHigh AntiLambda L2JetHigh
2, 3 FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html
3, 4 FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html
4, 5 FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html
5, 8 FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html FiredJet.pdf .txt .html  noFire .pdf .txt .html

7. DLL correction 

Appendix,  Anti-Lambda/Lambda ratio: 


3) New simulation production

Background 
Simulations performed by Ramon Cendejas. Unfortunately, an error was found in the (subdominant) process contributions when Ramon needed to move on. This and other factors held up progress since.

Introduction
  • Pure MC simulation under STAR geometry.
  • Generate pp events using Pythia 6.4.28 (Tune 320) with Lambda filter, in different partonic pT intervals and weighted by integral luminosities
  • Reconstruct Lambda based on track association
  • Jet reconstruction used CDF cone algorithm with R = 0.7

Statistics of simulation sample 
It totally took about 4.5 CPU years. 

  
Slides20170110  

Jet Cone Study 
1. slides (JP1 lambda pt2-3 for example)    
2. All comparison plots for different lambda pt bin and different Triggers 

Trigger Bias Plot 
1. updated version for cdf cone algorigthm

Data/MC comparison for
Lambda: 
lamdba pt JP1 L2JetHigh
2_3 file file
3_4 file file
4_5 file file
5_8 file file
Anti-lambda: 
A-lamdba pt JP1 L2JetHigh
2_3 file file
3_4 file file
4_5 file file
5_8 file file

QA: 
lamdba pt MB JP1 L2JetHigh
2_3 file file file
3_4 file file file
4_5 file file file
5_8 file file file

Trigger effect: (old, anti-kt R06 )
  f_z feed down parton subprocess
Lambda file1 file2 file file file
A-lambda file1 file2 file file file





 

4) Systematic uncertainties

Systematic uncertainties summary

  • decay, fz, and f_parton from simulation 
  • pile-up and residual background are from preliminary version

    η > 0   η < 0
    Lambda Anti-lambda   Lambda Anti-lambda
  pt JP1 L2J JP1 L2J   JP1 L2J JP1 L2J
decay 2.4 0.0009 0.0018 0.0001 0.0003   0.0001 0 0.0001 0.0001
3.4 0.0008 0.0011 0.0004 0.0003   0 0.0001 0 0
4.4 0.002 0.0027 0.0008 0.0008   0.0003 0.0004 0.0001 0.0002
5.9 0.0017 0.0024 0.0013 0.0022   0.0005 0.0009 0.0003 0.0007
                     
fz 2.4 0.0011 0.0028 0.0003 0.0015   0.0002 0.0001 0.0001 0.0001
3.4 0.001 0.0034 0.0006 0.0024   0.0003 0.0005 0.0003 0
4.4 0.0056 0.008 0.0053 0.0079   0.0005 0.0007 0.0009 0.0013
5.9 0.009 0.0121 0.0154 0.0191   0.0021 0.0028 0.0037 0.0046
                     
fparton 2.4 0.0005 0.0008 0.0004 0.0012   0.0001 0.0001 0.0001 0.0002
3.4 0.0011 0.0021 0.0002 0.0013   0.0003 0.0005 0 0.0003
4.4 0.0019 0.0038 0.0003 0.0011   0.0005 0.0009 0.0001 0.0003
5.9 0.0034 0.0062 0.0016 0.0027   0.0011 0.002 0.0005 0.0009
                     
pile-up 2.4 0.0182 0.0057 0.0184 0.0063   0.0182 0.0057 0.0184 0.0063
3.4 0.0023 0.0007 0.0022 0.001   0.0023 0.0007 0.0022 0.001
4.4 0.0023 0.0007 0.0022 0.001   0.0023 0.0007 0.0022 0.001
5.9 0.0068 0.0023 0.0064 0.0023   0.0068 0.0023 0.0064 0.0023
                     
bkgd 2.4 0.005 0.001 0.0001 0.0002   0.005 0.001 0.0001 0.0002
3.4 1.00E-06 0.0001 0.0001 0.0006   1.00E-06 0.0001 0.0001 0.0006
4.4 0.0007 4.00E-05 0.0004 0.0002   0.0007 4.00E-05 0.0004 0.0002
5.9 0.0002 0.0002 0.001 0.0001   0.0002 0.0002 0.001 0.0001
                     
all 2.4 0.0189 0.0067 0.0184 0.0066   0.0189 0.0058 0.0184 0.0063
3.4 0.0029 0.0042 0.0023 0.0030   0.0023 0.0010 0.0022 0.0012
4.4 0.0067 0.0093 0.0058 0.0081   0.0025 0.0014 0.0024 0.0017
5.9 0.0119 0.0140 0.0168 0.0196   0.0072 0.0042 0.0075 0.0053