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star-hp-l - Re: [[Star-hp-l] ] D0 Meson Tagged Jets at 200 GeV - Paper Draft

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  • From: tc88qy <tc88qy AT rcf.rhic.bnl.gov>
  • To: star-hp-l AT lists.bnl.gov
  • Cc: Diptanil Roy <roydiptanil AT gmail.com>, Nihar Sahoo <nihar AT rcf.rhic.bnl.gov>, Sevil Salur <sevil.salur AT gmail.com>, Joern Putschke <joern.putschke AT wayne.edu>
  • Subject: Re: [[Star-hp-l] ] D0 Meson Tagged Jets at 200 GeV - Paper Draft
  • Date: Thu, 28 Nov 2024 10:01:54 +0800


Hi Neil and PAs,

Nice work. Since the D0 meson reconstruction is identical to STAR published paper. I assumed this part should be ok.
I have few comments on your analysis note, please find below:
1. It don’t show a discussion of sWeight’s error bar and how the error bars propagated in your final results?
2. It is not clear to me how did you avoid the double count for the towers in Jet reconstruction part. How did you carry out the hadronic correction?
3. Jet Pt with background correction will have some negative value. Did you also included this part in your z and delta R calcuation?
4. For the data-driven unfolding method, do you have a plot of proof of convergence for this method?

Qian Yang

On 2024-11-28 06:05, Mooney, Isaac wrote:
Hi Neil and PAs,

For now I’m focusing my comments on the analysis note (see below),
since I will be the PWG rep for this analysis and can give detailed
comments on the paper after GPC formation. Hopefully this saves a bit
of time getting the ball rolling due to Neil’s time constraints. I
did do a quick read-through of the short paper as well just to make
sure that it’s acceptable for GPC formation. I had some comments,
but nothing preventing it moving to the next step, so I’ll hold off
for now until I do a more detailed read-through at that time. We’ll
see if Qian or Nihar have any major comments, but mine on the analysis
note can be addressed in parallel with GPC formation which I think the
analysis is ready for.

Thanks, and congratulations on advancing this high-quality analysis to
this stage,
Isaac

79. How was 600 MeV chosen for the D0 daughters?

83. What is the nhitsdEdx cut used?

139. Sorry, just to make sure I understand, do you mean "all the jet
constituents" except the D0 candidate, or really "all" jet
constituents? I'm not sure why we wouldn't assign the proper mass in a
situation where we're fairly sure of that particle's identity.

Fig. 1.5. I'm a little surprised that the weights are quite this
negative in the background regions. But I guess this is due to a
negative covariance and may not be a problem as long as the sum of
sWeights in a given control variable bin is non-negative? Are there
any such bins in the analysis where the sum is negative?

168. Is the reason there is any discrepancy at all entirely due to
sPlot? Or are there any other differences (e.g. selection criteria,
binning, failed jobs, different random seed, etc.)?

189. When you apply the hadronic correction, have the K and pi already
been removed from consideration so that their track pTs are not
subtracted from the tower ETs, or do you include them for this
correction and remove them later? I would assume the latter except
you've already mentioned in the text that they are removed.

Fig. 1.10. I can understand that because sequential recombination
algorithms in general don't have to have an exact cone shape at the
jet radius (although anti-kT is fairly circular), you could
technically get D0s beyond DeltaR = R_jet. But DeltaR = 0.6 would be
pretty surprising to me. Or do the entries in the bin stop at just a
hair past 0.4, and the bin is just wider than necessary?

Figs. 1.10 - 1.12. I'm a bit surprised the z_jet^uncorrected plots
look identical between Figs. 1.11 and 1.10. Looking at the 40-80%
distributions as an example, I'm not able to spot the difference. I
would have thought in the tails, either positive or negative, there
should be some difference, despite the much lower counts of D0jets
with D0 pT > 5 GeV, since the D0 pT being larger should contribute to
a larger z. I see from Fig. 1.12 that actually the tails drop off much
more dramatically for the larger D0 pT so I guess my intuition was
wrong. Should I think of this as being caused by the fact that jets
with a large pT D0 are much less likely to be background jets, which
decreases counts both for negative and large-positive z?
Corollary 1: is the jet pT fixed for the D0 z plot, or is it
integrated over jet pT? [Whatever the answer, it would be good to
specify somewhere in the analysis note, similarly for the DeltaR as
well].
Corollary 2: is there any requirement on number of jet constituents?
Is it possible to have a jet that is just the D0 if it passes all
other requirements? I think we talked about this during a PWG meeting
and you mentioned that these one-particle jets were included (so
there's a separate category included in the 0.9 - 1 z bin which are
identically 1.0) [I just read the paper and see this is the case].
Have you checked the effect that it has on the results (pT, z, DeltaR)
to disallow these jets?

Fig. 1.14. I think I understand why the distribution in raw z is
bimodal for the 40-80% centrality selection for the previous plots,
but do you have a good intuition for why it isn't continuous in the
10-40% case for R = 0.2? And where are the bins just below 0 for the
40-80%?

275. When you say "already corrected for the D0 reconstruction
efficiency at this stage" do you mean there is a step between the
previous and this one of applying D0 efficiency?

278. I'm a little confused -- you say the D0 is reconstructed at
detector-level but the daughters are not? And then you use momentum
resolution to reconstruct it? Can you clarify what you mean here?

Fig. 1.20 - 1.22. It would be great if the y-axis of the ratio plots
could be zoomed in a bit so any potential shapes could be observed.
Something like 0.5 - 1.5 should work in all cases given how excellent
the agreement is.

374. Are fakes also weighted by this factor? What, if anything, is
done for misses?

390. Can this statement be quantified somehow? Can you show the
correlations between the three observables: pT, z, and DeltaR for
example? Or show the 3D unfolding result even though statistics are
poor? Or some other way.

415. Hijing -> Pythia? Or is Hijing used somehow?

431. "DCA < 3 cm", yes? 0.2 cm seems like a fairly minimal variation.
Do statistics really significantly suffer for e.g. a 2 cm cut as a
variation?

462. You say that only the uncertainty on R1 is quoted but also say
the uncertainty is given by the second term on the RHS of eq. 1.7. How
are these both true?

Fig. 1.32.
This probably demonstrates that I'm not as familiar as I should be
with the previous D0 analysis, but can you explain why you have
uncertainties related both to D0 reconstruction efficiency with and
without vertex correction?
When you say "peripheral (right)", you actually mean "bottom" in this
case, right? Since the plot has wrapped to the next row. Just want to
make sure I'm not mixing up midcentral and peripheral.

Fig. 1.65. Shouldn't the full jet pT spectrum be harder than the
charged jet spectrum? It looks like it is until the last one or two
bins in all cases, which is a bit odd to me.

On Nov 9, 2024, at 14:49, Diptanil Roy <roydiptanil AT gmail.com>
wrote:

Dear conveners and HP-pwg,

We now have a proposed version of the STAR D0 Meson Tagged Jets
paper drafts available. The links for the paper drafts, analysis
notes, and the paper webpage are below. We request to form a GPC to
get this work over the line.

Please send your comments and feedback.

Paper Drafts

Short Paper: Link [1]
Long Paper: Link [2]

Analysis Note Link [3]

Paper Webpage Link [4]

PWGC Preview Link [5]

Thank you to everyone who helped with this analysis since the
beginning.

--

~ Neil on behalf of the PAs (Neil, Matt, Sevil, Joern)



Links:
------
[1] https://drupal.star.bnl.gov/STAR/system/files/PRL_v1.pdf
[2] https://drupal.star.bnl.gov/STAR/system/files/PRC_v1.pdf
[3] https://drupal.star.bnl.gov/STAR/system/files/AnalysisNote_6.pdf
[4] https://drupal.star.bnl.gov/STAR/blog/droy1/D0-Meson-Tagged-Jets-Au-Au-collisions-200-GeV
[5] https://drupal.star.bnl.gov/STAR/system/files/D0Jets_Diptanil_PWGCPreview.pdf



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