Using the corrected reconstruction efficiency and response matrix (in the link below), I tried unfolding the R = 0.3 charged recoil jet (pi0 trigger) data.

https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-07052018-run-9-embedding-corrected-reconstruction-efficiency

These first two plots compare the measured distribution, prior distribution, unfolded distribution, and backfolded distribution.  The blue ratio is between the unfolded and prior distributions and doesn't mean anything.  Also, the labels are incorrect: these are R = 0.3 jets.

While the results are definitely smoother than the last time I attempted to unfold this data (the results of which can be found in the link below), they're still pretty wiggly.  This is probably due to my binning, and it'll be worth it to re-do this process with a much more generous binning.

https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-06052018-run-9-pp-unfolding-results-r-03-charged-pi0-jets

And here are the measured and backfolded distributions isolated:

Which are in good agreement.  And lastly, here are the unfolded distributions compared to R = 0.3 charged recoil jets (pi0 trigger) from Pythia8 (default tune):

The errors are the unfolded distributions are only statistical.  No systematic errors have been included here.