STAR Protected
All pT and centrality bins - traditional analysis Dpm signal
Correct-sign and scaled wrong-sign combinations and signal plots after subtractions for all pT and centrality bins.
Update 07.10.2018 -- Run 9 embedding: match candidate qT distribution
Just for reference, here's the 'qT' distribution for all match candidates (i.e. all detector jets within acceptance with 'dR < Rjet' relative to the particle jet trying to be matched).
Update 07.10.2018 -- Run 9 embedding: our efficiency vs. h-jet efficiency
Before I had checked our efficiency compares to the corresponding efficiency from the h-jet analysis:
Jetcorr Paper Status
Measurement of inclusive charged-jet production in Au+Au collisions at sqrt(s_NN) = 200 GeV
Jan Rusnak, Jana Bielcikova, Peter Jacobs
Update 07.09.2018 -- Run 9 embedding: response matrix before vs. after correcting reconstruction efficiency
Just to get an idea of how big the corrections are in the response matrix, I've compared the response matrix after fixing the reconstruction efficiency (which can be found in the 1st link) to the resp
Update 07.09.2018 -- Run 9 embedding: qT comparisons
After fixing the reconstruction efficiency (see link below), I was curious about how the 'qT' cuts affect the reconstruction efficiency and response matrix. Here's a quick comparison:
Update 07.09.2018 -- Run 9 data: 1st stab at unfolding R = 0.3 charged pi0 recoil jets
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.
Update 07.09.2018 -- Run 9 embedding: closure tests using corrected reconstruction efficiency
Previously, I had corrected the jet reconstruction efficiency and response matrix from the Run 9 dijet embedding sample:
Update 07.05.2018 -- Run 9 embedding: corrected reconstruction efficiency
Previously, I had looked into the effect of requiring a trigger at the particle-level on our jet reconstruction efficiency:
Update 06.28.2018 -- Run 9 embedding: jet reconstruction efficiency fit
Earlier I looked into our jet reconstruction efficiency:
Update 06.28.2018 -- Run 9 embedding: using phi vs. delta-phi and particle-lvl. triggers in matching
Yesterday, I investigated a bug in our matching code and the impact of a max 'qT' cut:
Update 06.27.2018 -- Run 9 embedding: applying a max qT cut
Previously, we had realized we weren't handling the jet-matching in the best manner. The new (and old) matching algorithms are described in this post:
JetCorr Follow-Up [05.29.2018] -- STAR vs. PHENIX Purity
During my presentation to JetCorr on May 29th, 2018 (see link at the end of this post), some were curious about why it is that the PHENIX data on slide 9 are systematically higher and have smaller err