Update 08.27.2018 -- Run 9 pp: bin-by-bin test
In a recent internal meeting it was suggested that since the corrections in the unfolding process were so small, it might be prudent to switch to a bin-by-bin correction since the process is far more transparent than unfolding. Below I compare unfolded and backfolded distributions to Pythia8 and data respectively for 3 different correction schemes: Bayesian unfolding, SVD unfolding, and bin-by-bin corrections.
Note that the unfolded gamma-rich distributions have been corrected for the gamma-rich purity. It would seem that all 3 correction schemes produce similar (if not consistent to nearly identical) results. However, the bin-by-bin scheme assumes that bin migration is negligible; I'm concerned that we might not be able to assume that considering the jet energy resolution (see links below), especially at large pTjet...
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-08072018-run-9-embedding-jet-energy-resolution-r-02-03-04-and-05
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-08132018-run-9-embedding-updated-jet-matching-efficiency-and-jet-energy-resolutio
The individual plots that went into the above ones have been attached, and so have the corresponding ROOT files.
Update [08.28.2018]: to get a more quantitative idea of the size of the corrections for each method, see this post:
- dmawxc's blog
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