Update 08.19.2019 -- Run 9 pp: Unfolding Pi0 and Gamma Data with Improved Errors
Previously, I took a stab at unfolding our pi0 and gamma-rich data using only the embedding sample:
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-08162019-run-9-pp-new-r-02-pi0-unfoldings
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-08192019-run-9-pp-new-r-02-gamma-unfolding
I realized, though, that I wasn't summing the systematic and statistical errors when I plotted the "final" uncertainty bands against Pythia. The plots below fix this. We also decided to add a levy fit to the list of systematic variations. For the gamma triggers, we also added the gamma-direct purity variation to the systematic band, and decided to stick with the 2nd subtraction scheme (subtract then unfold) from the above post.
Pi0 Trigger:
Gamma Trigger:
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