Update 08.10.2018 -- Run 9 embedding: Jet Matching Efficiency (R = 0.2, 0.3, 0.4, and 0.5)
Previously, I took a look at the JER for a variety of R's:
And in the process, realized that the matching efficiency was abnormally low for R = 0.4:
So as a first-order check, I looked into the qT and dR distributions I use to select the best match for a given particle jet. The details of those quantities can be found in these posts:
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-06052018-run-9-embedding-new-matching-algorithm
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-06272018-run-9-embedding-applying-max-qt-cut
And here are the distributions:
All four look reasonable. Here's the percentage of jets lying in the region I cut on when matching particle to detector jets (i.e. lying in qT = 0.15 - 1.85 and dR < Rjet):
Rjet | Integral (all) | Integral (cut) | percentage |
0.2 | 86147 | 19111 | 22.2% |
0.3 | 47459 | 13944 | 29.4% |
0.4 | 26138 | 10061 | 38.5% |
0.5 | 14393 | 7151 | 49.7% |
So the qT, dR cut doesn't seem to be the issue...
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