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Small scale Monte Carlo Test Estimate

Updated on Tue, 2009-12-08 11:36. Originally created by aliceb on 2009-12-08 11:26.

Method:

I ran over the old mit004X filtered QCD endcap sample to get an idea of counts and make some proposed data comparison plots. I weighted samples properly when combining them - this is reflected in the fraction of events from that bin in the final distribution. I focus on photon candidate pT between 6 and 9 GeV.  The number of events generated, photon candidates found, photon candidates found within the range, and fraction each partonic pT bin contributes is given in the table below.

Sample Name pT Range # of Events Generated # of Candidates Found # of Candidates with pT>=6 and <= 9 Fraction of final distribution
mit0040 2-3 14877 67 21 0.011
mit0041 3-4 19569 52 12 0.006
mit0042 4-6 50195 334 65 0.028
mit0043 6-9 55750 1171 297 0.130
mit0044 9-15 25970 2366 943 0.544
mit0045 15-25 13406 3496 1853 0.281

 

Plots:

In each series of plots I show:

  • upper left = sum of MC samples compared to 2006 data, along with contribution from each MC sample, on a linear scale
  • upper middle = same as above on log scale
  • lower left = sum of MC samples compared to just the 9-15 bin
  • lower middle = sum of MC samples compared to 9-15+15-25 added together
  • lower right = sum of MC samples compared to 6-9+9-15+15-25 added together

All plots are scaled to an integral of 1.

 

(1)Candidate pT

(2)Isolation ratio in a cone of R=0.3 around the candidate

(3)Isolation ratio in a cone of R=0.7 around the candidate:

(4)Tower pT in a cone of R=0.3 around the candidate

(5)Tower pT in a cone of R=0.7 around the candidate

 (6)preshower 1 energy in a cone of R=0.3 around the candidate

(7)Preshower 1 energy in a cone of R=0.7 around the candidate

(8)Preshower 2 energy in a cone of R=0.3 around the candidate

(9)Preshower 2 energy in a cone of R=0.7 around the candidate

(10)Postshower energy in a cone of R=0.3 around the candidate

(11)Postshower energy in a cone of R=0.7 around the candidate

(12)Smd u-plane energy

(13)Smd u-plane shower shape.  Uses a simple shower shape defintion = energy in strip/total smd u-plane energy. 

(14)Smd v-plane energy

(15)Smd v-plane shower shape with simple shower shape defintion.

Comments

Based on these tests, it seems that a mimum we should request a sample in the pt range 9-15 with the sample statistics as above.  If we can get the second pT range we could request 15-25, but probably with half of the statistics above to end up with comprable statistics for candidates in the 6-9 GeV range as the 9-15 sample.

 

 

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