Mattione Update 09212011

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Summary

  • OBJECTIVE: I'm updating the reconstruction uncertainties to improve the particle-ID algorithms and support the kinematic fitting analyses.
  • PLAN: I'm comparing the generated and reconstructed track parameters in the TOF, BCAL, and FCAL systems to determine the uncertainties.
  • STATUS: TOF Uncertainties are below.

TOF Time Uncertainty

π- hits in both TOF planes

  • Δt vs. x, y, average dE
Δt vs. x
Δt vs. y
Δt vs. avg. dE


  • Fit the Δt distributions to Gaussian functions, σt's are fit below.
σt vs. x
σt vs. y
σt vs. avg. dE


π- hit only in the horizontal plane

  • Δt vs. x, y, dE
Δt vs. x
Δt vs. dE


  • Fit the Δt distributions to Gaussian functions, σt's are fit below.
σt vs. x
σt vs. dE


π- hit only in the vertical plane

  • Δt vs. x, y, dE
Δt vs. y
Δt vs. dE


  • Fit the Δt distributions to Gaussian functions, σt's are fit below.
σt vs. y
σt vs. dE


TOF Deposited Energy Uncertainty

π- hits in both TOF planes

  • ΔdE (Measured Average - Most Probable) vs. Most Probable (NOT True) dE
ΔdE vs. Most Probable dE
  • ΔdE (Measured Average - Most Probable) vs. Measured Average dE
ΔdE vs. Measured Avg. dE


  • Most probable deposited energy calculated via Equation 27.10 in Section 27.2.7 of the RPP.
  • Perhaps the best way to do it is to look at the dE distribution as a function of track βγ, and get the uncertainty from the width of that distribution. How would the energy uncertainty be calibrated using real data?

TOF X Uncertainty

π- hits in both TOF planes

  • Δx vs. x
Δx vs. x


  • Fit the Δx distributions to Gaussian functions, means are shown below.
μx vs. x


  • I'm not sure, but I think the skews may be due to the cut used to identify when the hits matched between planes.