STAR Flow, Chirality and Vorticity PWG

[ShinIchi Esumi <esumi.shinichi.gn AT u.tsukuba.ac.jp>]

Dear Niseem

It could be informative, if you could plot "v2,3,4 vs centrality” on top of 
the 
plot ”a2,3,4 vs centrality” at the bottom-left of page 3 with some scaling 
constant (better to be common for all the orders) in order to show the 
centrality dependent shape (which does not have to be in the talk, maybe 
in the analysis note later). 

The top-left formula of page 3 does include offset parameter a0^pT, which 
also seems to show a possibly interesting centrality dependence, that you 
could consider showing (maybe in the analysis note...) 

I was still thinking about the point I raised yesterday in the PWG related to 
above points, how we can define the an^pT parameter to be able to compare 
this with vn. Since G2 is defined as pT square after subtracting the baseline 
that is the average pT square, so that the a0^pT parameter is a kind of 
measure of "non-flow" with a dimension of (GeV/c)^2 and an^pT parameters 
are the measure of "flow" with a dimension of (GeV/c). 

G2’ = G2 / baseline
      = (pT_correlation - baseline) / baseline

If we think about using modified G2’ as above in stead of your current G2, 
one can plot 
(1) an^pT/<pT>, which is more comparable definition to the "non-flow 
subtracted vn”, 
and/or (2) an^pT/sqrt(baseline + a0^pT), where the baseline is the average pT 
square, 
this is could even be more reasonable to be compared with vn measurement. 
In this definition, (1)"non-flow subtracted vn" is even larger the other one 
(2), 
which is similar to the difference between reference fitting(or 
c1_subtraction) and 
template fittings for the small system vn analysis. 

How is sigma_delta_eta(G2) defined? Is this defined as RMS or Gaussian 
fitting 
of G2(delta_eta) distribution ? How did you treat the baseline that we see in 
G2 as 
a function of delta_eta? I remember we’ve discussed this sometime ago in the 
PWG, 
but not yesterday. The baseline could also be defined from a0^pT parameter 
from 
azimuthal fitting at large delta_eta or even in 2D... The sigma (or RMS) 
would largely 
be affected by the method how we define the baseline, so we need to make sure 
what we do and what we observe. 

Related to this, several different cuts on delta_phi to look at delta_eta 
shape, as well 
as, several different cuts on delta_eta to look at delta_phi shape, would be 
important, 
2D analysis could even be better as we discussed at the end of PWG yesterday. 

Best regards, ShinIchi

> On Jul 8, 2021, at 4:41, webmaster--- via Star-fcv-l 
> <star-fcv-l AT lists.bnl.gov> wrote:
> 
> Dear star-fcv-l AT lists.bnl.gov members,
> 
> Niseem Magdy Abdelwahab Abdelrahman (niseemmagdy AT yahoo.com) has submitted a 
>  
> material for a review, please have a look:
> https://drupal.star.bnl.gov/STAR/node/55552
> 
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