Embedding Plots for Lambda, Anti-Lambda, and K⁰Short from 19.6 GeV Au+Au

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Details and Statistics

• OS: Scientific Linux 4.4 (32-bit) running in VirtualBox

• Production Library: SL07d (P07id)

• Number of daq files used: 828

• Chain for tags production: ' ry2001 in tpc_daq tpcI fcf ITTF noSsdIt ftpc IAna VFMinuit l3onl emcDY2 ZDCvtx Physics Idst l0 tags Tree evout hitfilt '

• Chain for embedding: ' ry2001 in tpc_daq tpcI fcf ITTF noSsdIt ftpc IAna VFMinuit l3onl emcDY2 ZDCvtx Physics Idst l0 Tree evout hitfilt corr4 OSpaceZ2 OGridLeak3D Embedding onlraw GeantOut MiniMcMk McAna -in NoInput,useInTracker -dEdx '

• Total number of events processed (for each particle type): 485185 (2 passes over near complete data set)

• Total number of events accepted for embedding: 103549

• Embedding primary vertex z range: +/- 50 cm

• Embedding p_T range: 0.1 to 4.0 GeV/c

• Embedding pseudorapidity range: +/- 1.3 units

• Embedding multiplicity: 5% of event multiplicity

 

• Additionally, events can be rejected based on the proximity of the reconstructed vertex to that used by the embedding process. 
  
  • This is done to account for the lack of VFMCE in this library. 
  • Naturally, one must ensure that there is no effect on the final efficiencies due to this additional cut. 
  • A study was done and the results are summarized here.

The first row of plots below are the p_T-integrated versions for each of the cut variables.  As you can see, there are some differences in some distributions, but these are related to the different <p_T> in the MC and RC.  The MC was generated with a flat p_T distribution and so has a larger average p_T . The remaining rows show the comparison as a function of p_T for the various cut variables.  All plots below are from the minimum bias set (which has the highest statistics).

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