1) Jpsi event activity in Run12 pp 200 GeV - Bingchu Huang
a. A request for a PWGC review has been sent to PAC by conveners
b. Check the events that contribute to RcTofMult = 0, in which the vertex finding effiency is seen to be ~75%. It will be nice to understand why this efficeincy is high.
c. Check why the statistical error for Nch ~ 30 in the unfolded distribution is abnormally large.
d. Extend the PYTHIA curve to the range reached by data. Think about using excluding pT bins instead of inclusive ones.

2) NPE in Run15 pp/pAu 200 GeV - Zach Miller
a. The fully corrected NPE cross-section for Run15 pp 200 GeV data is shown. However, It differs from Run11 preliminary results by a factor 2-3 below 8 GeV/c. PA is actively investigating the cause.

3) NPE without using HFT in Run15 AuAu 200 GeV - Shenghui Zhang
a. Slide 6: check the difference in BEMC*SMD efficiency between data and simulation. Recommend to use the efficeincy from data instead of the average efficiency of data and embedding.
b. Slide 10: enlarge the fit limits for width of the hadron peaks since currently the fitting results consistently hit the lower limit.
c. Check the uncertainty for nHitsFit cut and Receff. Also need to check why the uncertainty is much larger in 40-60% centrality bin.
d. Slide 23: investigate why the Run14 results are above Run11 results for pT < 3.5 GeV/c in 0-10% centrality bin. At the same time, the Run14 resutls are consistently below that of Run11 for 40-60% centrality bin in almost the entire pT range.

4) D0 v3 with HFT in Run14 AuAu 200 GeV - Michael Lomnitz
a. Will consult with PAC and management about updating the HFT related results using P16id production. The same applies for Ds analysis.

5) Jpsi polarization in Run 12 pp 200 GeV - Siwei Luo
a. A new 2D likelihood fitting method is developed to extract the polarization parameters simultaneously.
c. Will present this method in QM, and work on applying this method to data.

6) Centrality study for Run15 pAu 200 GeV - Yanfang Liu
a. "# of good primary tracks" turns out to be the best variable that matches between data and simulation, and correlat with Ncoll reasonably well.
b. Need to calcalate the central value and the associated uncertainties for Ncoll in MB pAu events.
c. Produce the correction curve for VPD inefficiency in low-multiplicity events using HIJING simulation. Need to do this for both 30 cm and 100 cm cut on TPC vz.
d. Need to perform data calibration by aligning the distributions of # of good primary tracks in different vz and luminosity bins. After the calibration is done, one can compare data and simulation again.

7) D* in Run15 pp 200 GeV - Pavol
a. The PA did not send out any slides.