Difference between revisions of "PID study proposal"

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(Created page with " === PID Studies === For each final state * Determine p/theta range of each final state particle * Compare PID variable distributions between data and MC ** First stage: 1D d...")
 
(PID Studies)
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** First stage: 1D distributions integrated over all kinematics
 
** First stage: 1D distributions integrated over all kinematics
 
** Optional: !D distributions from different p/theta bins
 
** Optional: !D distributions from different p/theta bins
 +
** Do this for each run period under investigation
 
* Determine selection criteria which are 99% and 95% efficient
 
* Determine selection criteria which are 99% and 95% efficient
  

Revision as of 12:15, 20 May 2020

PID Studies

For each final state

  • Determine p/theta range of each final state particle
  • Compare PID variable distributions between data and MC
    • First stage: 1D distributions integrated over all kinematics
    • Optional: !D distributions from different p/theta bins
    • Do this for each run period under investigation
  • Determine selection criteria which are 99% and 95% efficient

Systematic Studies

How to determine systematic uncertainty in efficiency due to PID cuts (assumes you have a final state with some clean peak: rho, phi, pi0, eta, eta'...):

  • make tight PID cuts on all particles except the one you are testing the efficiency of - call this particle P
  • make two sets of invariant mass distributions for whatever peak you have
    • masses for events in which P satisfies the standard PID requirements
    • masses for events in which P fails the standard PID requirements
  • Fit each mass distribution to get the yields: N(pass) and N(fail)
  • efficiency of the cut is N(pass) / [N(pass) + N(fail)]
  • compare this efficiency between data and MC to determine how well it is modeled

Note this probably only works for the timing PID right now. Will need a separate set of files to test CDC dE/dx, but for now just look at the distributions. The biggest contributor here is probably the rate of events without enough hits to properly calculate dE/dx