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Kaon LT Meetings » grp_22mar04.txt

Garth Huber, 03/14/2022 06:01 PM

 
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		Mar 04/22 Group Meeting Notes
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Participants: Garth, Stephen, Vijay, Ali, Nathan, Love
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Vijay:
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- good discussion on how to deal with pion leakthrough in (e,e'K+) analysis
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Three methods come to mind:
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1. Histogram subtraction
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   i.e. make a clean pion sample, normalize the pi+n MM peak to the leakthrough
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   to determine the scale factor, and subtract the clean pion sample from the
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   K+ sample to get a clean(er) K+ sample
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   Advantages:
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   - accurately models the pi+Delta0 shape underneath the Lambda and Sigma
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     peaks
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   - once the MM scale factor is determined, in principle this can also be used
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     to clean up focal plane and other observables, for comparison with MC.
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   * Cautions/Suggestions for Future Work*
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   - this method only works if the pion leakthrough fraction is same for pi+n
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     and pi+Delta0 MM regions
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   * Need to investigate the stability of the pi+n/pi+Delta0 ratio
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     vs. CoinTime, RF cuts
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2. Polynomial subtraction
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   i.e. fit a polynomial to the clean pion MM sample, and use that polynomial
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   (with adjustment) to get a clean K+ sample
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   Advantages:
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   - Vijay shows that this method seems to work for at least one setting
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   *Cautions/Suggestions for Future Work*
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   - need to be sure that the Lambda, Sigma radiative tails are not
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     over-subtracted, as they are an important part of the reaction yield
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   - if this method is used, the best way would be to get the Lambda, Sigma
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     peak shapes from SIMC and use that, in combination with the polynomial, in
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     the fit
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3. Clean K+ cuts
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   i.e. make a clean (e,e'K+) spectrum by applying tight cuts to eliminate most
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   if not all pion leakthrough
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   *Cautions/Suggestions for Future Work*
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   - almost certainly, this gives a lower K+Lambda yield than methods 1,2
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   - the lost K+Lambda events would have to be corrected for via a "cut
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     efficiency".  It is not immediately obvious on how this efficiency factor
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     would be determined, maybe by comparing with methods 1,2, but in that
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     case, why not just use them for the analysis?
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   - however, a quick comparison of the lower yield from method 3 compared to
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     methods 1,2 could be useful for systematic error determination, for
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     example by setting an upper bound on how large the cut-event-loss effect
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   is
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Vijay should keep track of this discussion, for use in his further studies
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