RE: net-proton at y=0

From: Ian Bearden (bearden@nbi.dk)
Date: Fri Jul 12 2002 - 15:15:10 EDT

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    Hi JH+EJK,
    Nice plots!  Is it possible for you to save these as root macros, so that I
    can steal them?
    I'd like to change some purely cosmetic things so that some of these can go
    into the plenary talk,  but I am sure you are both to busy for this.
    Thanks,
    Ian
    
    
    
      -----Original Message-----
      From: owner-brahms-l@bnl.gov [mailto:owner-brahms-l@bnl.gov]On Behalf Of
    J.H. Lee
      Sent: 12. juli 2002 20:55
      To: brahms-l@bnl.gov
      Subject: net-proton at y=0
    
    
      Dear Collaborators,
    
      Here are some distributions for the net-proton at y=0 for 5%.
      We'll post more (5-20% and at 40 degree) soon.
    
      Attached figures.
      1. proton, pbar yields (dN/dydpt)
          (Estimated integral coverage ~ 80-85%)
          Please look at "integral" in statistics box.
          p - pbar =  29.15 - 22.08 = 7.07 for pt 0.6 - 3GeV/c
          p - pbar =  36.44 - 27.6 = 8.84 for all extrapolated phase space
                                                       assuming 80% coverage)
          Estimated error is ~20% on the number.
    
      2. proton, pbar invariant pt spectra
      3. pbar/p ratio
      4. pi plus invariant pt with exponential fit
      5. pi minus invariant pt with exponential fit
    
    
      If you are interested in more details for the analysis...
    
          Event Selection:
      -   Events are required to have BB and ZDC vertex.
      -   Trigger6 only
      -   Centrality cut was only using fMultCent
    
          Track Selection:
      -   Tracks have to come from BB vertex
      -    -17.5 < Track z < 17.5 cm
      -   Track matching cuts
           Run-by-run  fit with Gaussian +  2nd pol
        * Since the distributions of the matching parameters are not exactly
    Gaussian,
           the distribution (p2) under the Gaussian peak is overestimating
    background.
           It's due to various reasons (especially non-uniformity of drift
    velocity
           and the "angle problem").
           If you take  3*rms, it's about 4*sigma.
    
           Efficiency:
      -    Tracking
           Based on the rough estimates/preliminary numbers from Oslo/hardware
           performance,...
           reconstruction efficiency for the events with highest number of
    clusters
           in TPM1: 95% and TPM2: 97% at 90 degree.
           This function is used for 40 degree runs, which will give ~90% for
    most central.
      -    ToF efficiency
            My old estimate was around ~95%, but we took Peter's new estimate:
    90% flat
    
           Other corrections:
      -    multiple scattering
    
           Acceptance:
      -    Each field setting,  the first bin is not included in the summed
    distribution
           to reduce acceptance edge effect.
    
    
      JH + EJK
    



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