[Recorded on 02.19.2019] Before, we had noticed that the largest uncertainty in our unfolding was whether we were using a response trained using Pythia6 (via STAR's embedding process) or Pythia8 (via a response we approximated using the Pythia6 sample).  After looking into it, we noticed that our detector-level Pythia8 spectrum didn't match our detector-level Pythia6 spectrum (labeled 'embedding' throughout).  For context see:

https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-11162018-run-9-pp-updated-unfolding-results-pi0-and-gamma-triggers-r-02-and-r-05-
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-11272018-run-9-pp-data-vs-embedding-comparison
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-11282018-run-9-pp-pythia-vs-embedding-comparison
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-12212018-run-9-pp-pythia-vs-embedding-comparison-matching

So the question is: does the Pythia8 spectrum agree with data? Or does the Pythia6 spectrum agree with data?

So the Pythia6 (embedding) spectrum agrees with data quite well, but the Pythia8 spectrum does not. The issue, therefore, lies in our approximation of the response; otherwise, the Pythia8 spectrum would agree with data and Pythia6.