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Ahsan
Slide 2: Understand the origin of the second peaks (V0M at Nch=100) / eta -> number of events
Slide 3- 5: A multiplicity dependence is expected but not observed. Investigate why ?
Obtain the multiplicity distribution considering all NSD events (1D histogram). Get the multiplicity binning from that histogram and use that binning in your full analysis.
Compare the eta distribution with that published in any publication of EPOS authors.
Gyula:
-Provide dN/deta for all RT classes
-Ratios to RT-integrated: Transverse side case w/o CR. Do we still see the bump ?
Paz:
- Nmpi seems to be very small in Herwig. Check whether you are selecting the total number of MPI.
David:
Apply the unfolding algorithm to the data, compare the results with those reported in: https://arxiv.org/pdf/1905.07208.pdf
Pseudoevents: use 10^9 events for corrections and different sample (10^9) for testing
Pseudoevents: Check whether the 2D histograms (true spherocity vs true multiplicity) - (measured spherocity vs measured multiplicity) are consistent, i.e. measured_multiplicity consistent with eff*true_mult