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star-hp-l - Re: [Star-hp-l] STAR jet acoplanarity paper draft; request to form GPC

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  • From: Nihar Sahoo <nihar AT rcf.rhic.bnl.gov>
  • To: "Mooney, Isaac" <isaac.mooney AT yale.edu>
  • Cc: STAR HardProbes PWG <star-hp-l AT lists.bnl.gov>, "Ma, Rongrong" <marr AT bnl.gov>
  • Subject: Re: [Star-hp-l] STAR jet acoplanarity paper draft; request to form GPC
  • Date: Sat, 13 Jul 2024 23:19:53 +0530

Hello Isaac,

Please find our responses inline.

New paper draft version-3: https://drupal.star.bnl.gov/STAR/system/files/AcoplanarityPaper_v3.pdf
AN version-3: https://drupal.star.bnl.gov/STAR/system/files/AcoplanarityAanalysisNote_V3.pdf

On 2024-06-28 05:49, Mooney, Isaac wrote:
Hi Nihar,

I have some comments on your responses, below. Note that all line
numbers and figures refer to the previous version.

Thanks!
Isaac

170. I'm confused by this response. You're saying that somehow mixed
events are improving the combinatorial jet yield? My understanding is
that ME corrects *for* the contribution of combinatorial yield in the
overall distribution. Please elucidate.


Sorry, we misunderstood your previous comment. You are right – it doesn’t make sense as written. Changed to “Correction for the combinatorial jet yield in central \AuAu\ collisions is carried out using mixed events (ME),…”

192. I disagree that the additional phrase "deconvolution of detector
effects" would be unhelpful for a general reader, but it is a small
point so it's your choice.

Our initial response was that we have no strong view on this change, except for a concern about the overall length of the text, and since you find this to be important we have added it: “This event-wise approximate correction is refined by the deconvolution of detector effects (``unfolding''), described below.”

230. Ah, thank you for doing this study and putting my concerns to
rest. I agree with you that the effect is small.
Your comment was very helpful – forced us to think more carefully how to bring this point forward in a complete and fair way.


233. I'm satisfied with this rewording. Thanks for adding this -- I
think it's a nice clarification.

328. Sorry for being dense, but I'm still not understanding your
comment here. Do you mean the intention was to say there is a)
negligible (/no) enhancement, *and* b) some non-zero suppression? If
so, I think it should be modified in the text because I don't think
this is how most people would read that. Why not "...exhibiting a
striking yield enhancement at large deflection angle for large-radius
jets, and suppression for small-radius jets."? Please let me know if
I'm way off-base.

You are not off-base. We were focused on drawing a connection to the ALICE acoplanarity broadening result, in which large R (0.4, 0.5) is enhanced and R=0.2 is unmodified. But that’s not what we see here: large R is indeed enhanced but small R is suppressed. The result was a garbled description. We have taken your rewording but also changed the following sentence:

“…exhibiting a striking yield enhancement at large deflection angle for large--\rr\ jets, and suppression for small--\rr\ jets. A strong yield enhancement for large--\rr\ but not small--\rr\ recoil jets has also been observed at the LHC.”


Analysis Note, Fig. 14. Thanks for addressing this point.

Analysis Note, Fig. 23. I disagree. The approach I am familiar with is
to judge the closure test on its own terms, with statistical
uncertainties on the ratio. When the ratio is consistent within the
standard error, this is 'good' closure. Of course the edges will
always be fuzzy, but that is also true of your approach which uses the
systematics as the benchmark -- e.g. is 0.1% outside of the systematic
uncertainty 'bad'? 1%? ... The only thing that has changed is that the
benchmark is now the systematic rather than the statistical
uncertainty, so it is not true that it is the "only quantitative
standard". You say that "Given the finite statistics of the data,
which is mimicked in this test, some deviation from unity must occur",
but that is precisely what the statistical uncertainty should cover,
and in addition the non-closure here is in bins with good statistics.
I'm still not convinced that this is the proper approach. If you have
a reference which demonstrates the argument, I think that would be
very helpful for me.

This approach has been used by previous STAR and ALICE jet quenching papers, among others.

Unfolding by its nature entails systematic uncertainty. If the response matrix were known precisely, with arbitrarily high statistical precision, it could simply be inverted numerically to multiply the smeared data, resulting in the precise corrected distribution. But this doesn’t work in practice: we need to use a regularized (truncated) inversion, which is basically an assumption of smoothness, to avoid statistical noise that would generate arbitrarily large variance in the inverted matrix and render the result of the multiplication uninterpretable. Another name for this: regularized unfolding. So unfolding is never purely statistical.

Then to rephrase your proposal: compare the results of unfolding only to the magnitude of systematic uncertainty due to regularization in order to gauge its success. This we think is not a good basis for rejecting an analysis – why elevate this systematic uncertainty above all others?

The only reasonable standard we think is to ask whether unfolding results in deviations from the truth that are larger than the known uncertainties in the problem, i.e. the total systematic uncertainty. If closure is much better than that then there is no point of concern; if it is larger then the solution should not be considered to be valid.

We do not see a meaningful alternative to this procedure.



Analysis Note, Fig. 27. Thanks for addressing this point with the
addition to Fig. 3 and Sec. 3.13 of the analysis note. I do share
Rongrong's remaining confusion being discussed in the email list about
the values obtained in the plot (Fig. 28) and the effect of low-yield
bins on the comparisons, although I guess this can be addressed in the
GPC.

Thank you
Nihar for PAs (Derek, Saskia, and Peter)



On Jun 24, 2024, at 14:08, Ma, Rongrong via Star-hp-l <star-hp-l AT lists.bnl.gov> wrote:

Hello Nihar

Thanks for adding Sec. 3.14. However, it is not clear to me why the limit (upper vs. lower) would change depending on whether the recoil jet yield in pp is larger or smaller than that in AA. I_AA is defined as Y_AA/Y_pp. As along as Y_pp is an upper limit, I think I_AA should be the lower limit no matter if it is larger or smaller than 1. Maybe I am missing something? Also, I feel the way you calculate the 95% CL for I_AA probably needs some updates. Taking the ratio of 95% upper limit for Y_pp to Y_AA+Err_AA would not give you I_AA with 95% CL. I think one needs to use the central values of Y_pp and Y_AA to obtain I_AA, and then calculate its 95% CL based on the uncertainties. If this is not possible, you probably need some ToyMC to convolute the probability distributions for Y_pp and Y_AA.

For Fig. 28, I do not think the last bin matters since its yield is very very small. In any case, I am interested in your checks.

Thanks.

Best
Rongrong

On Jun 22, 2024, at 7:42 AM, Nihar Sahoo <nihar AT rcf.rhic.bnl.gov> wrote:

Hello Rongrong.

I have included the discussion of IAA upper and lower limit calculation in Section 3.14.
Please have a look at the updated AN: https://drupal.star.bnl.gov/STAR/system/files/AcoplanarityAanalysisNote_V2.pdf

I left Fig28 as it is because I calculated total yield by considering the last bin's mid point and by fitting the Y(dphi) for a consistency check. But I will check that calculation again during GPC discussion to update this fig, however I expect no big change).

Thank you
Nihar




On 2024-06-21 23:46, Ma, Rongrong wrote:
Hello Nihar
I do not think the last bin would cause the different I_AA shown in
Fig. 28, since its yield is very very small compared to other dphi
bins. The other bins closer to pi dominate recoil jet yields in pp and
AA, and thus I_AA.
Yes, indeed we discussed about the upper and lower limits before.
Sorry, I forgot about the details. From your response, do you mean
"For upper limit case, we take upper bound AuAu and lower bound of pp
in IAA calculation"? I could not find any details in the AN.
THanks.
Best
Rongrong
On Jun 21, 2024, at 1:42 PM, Nihar Sahoo <nihar AT rcf.rhic.bnl.gov> wrote:
Hello Rongrong,
Please find my replies inline.
On 2024-06-21 19:03, Ma, Rongrong wrote:
Hello Nihar
Thanks for the numerical values. If I sum up the recoil jet yields for
pp and AA, here is what I get.
1) pi0 trigger, R = 0.2, 10 < pT < 15 GeV/c
Y_AA = 0.030
Y_pp = 0.065 (the last bin with upper limit does not matter since its
yield is so much smaller than the other three dphi bins)
I_AA = Y_AA/Y_pp ~ 0.47
1) pi0 trigger, R = 0.2, 15 < pT < 20 GeV/c
Y_AA = 0.012
Y_pp = 0.063
I_AA = Y_AA/Y_pp ~ 0.19
These I_AA values are consistent with Fig. 3 in the paper, but not
Fig. 28 in AN where you demonstrate the consistency. Could you double
check the procedure for getting Fig. 28?
Thank you for this crosscheck.
I have calculated considering that last bin's central value (but we only show upper limit in fig.2) just to have a consistency check. That could be the reason for Fig.28.
As I am looking at this in more detail, another question arises. For
pi0+jet measurements in p+p collisions, you have upper limits for the
dphi bin furthest to pi for both R = 0.2 and 0.5, which makes sense.
However, you have upper limits for I_AA for R = 0.5, and lower limits
for R = 0.2 jets. Why is this the case? How do you derive an upper
limit on I_AA given the upper limit on Y_pp?
I remember, we had a discussion on this before if you recall.
But let me reiterate that to you here again.
For upper limit case, we take upper bound of pp and AuAu in IAA calculation.
similarly for lower bound, Lower limit of pp and AA.
Thank you
Nihar
P.S. Coming two weeks I will be traveling so I may be slow in replying.
Thanks.
Best
Rongrong
On Jun 21, 2024, at 6:29 AM, Nihar Sahoo <nihar AT rcf.rhic.bnl.gov> wrote:
Hello Rongrong,
Please find the data points here.
Upper bound of last bin is mentioned there separately.
https://drupal.star.bnl.gov/STAR/blog/nihar/acoplanarity-pp-data
Thank you
Nihar
On 2024-06-21 01:09, Ma, Rongrong wrote:
Hello Nihar
Thanks for the numbers. Could you also send out the recoil jet yields
in pp and AA collisions for the four dphi bins between 2.2 and 3.14,
as shown in Fig. 2 of the paper? Could you do the same for 10-15 GeV/c
as well? Thanks.
Best
Rongrong
On Jun 20, 2024, at 2:59 PM, Nihar Sahoo <nihar AT rcf.rhic.bnl.gov> wrote:
Hello Rongrong,
As you mentioned this is a bit tricky to get exactly the same yield for two cases due to dphi weights and also unequal total dphi sum from Fig.2.
But I tried to estimate the yield for one case (15-20 GeV/c and R=0.2) and calculate IAA.
Here is the value 3.14 to 2.2 rad.
0.0033 (AA) /0.0109(pp) = 0.302 (IAA from Dphi) that is close to IAA(pT) ~0.3.
I have not considered uncertainty calculation.
Best
Nihar
On 2024-06-20 02:38, Ma, Rongrong wrote:
Hello Nihar
Thanks for updating Fig. 3 in the paper.
As you mentioned, different dPhi bins contribute differently to the
integrated recoil jet yields and I_AA for 2.35 < dphi < 3.14. However,
according to Fig. 2 of the paper, recoil jet yield drops exponentially
with decreasing dphi, so the new bins with upper limits that you just
added are furthest to dphi = 3.14, and thus contribute the least. It
is not clear to me how they can pull the integrated I_AA so
significantly. If possible, I suggest to directly compare recoil jet
yields for the two cases (vs. pt or vs. dphi). This can avoid the
complicated weighted average of I_AA.
Best
Rongrong
On Jun 19, 2024, at 12:07 PM, Nihar Sahoo <nihar AT rcf.rhic.bnl.gov> wrote:
Hello Rongrong,
Thank you for pointing this.
A updated upper bound for R=0.2 of 15-20 GeV/c pi0+jet case is included in paper Fig.3. (It was missed in previous draft but now corrected)
This one I checked it before.
For pi0+jet 15-20 GeV/c R=0.2 case:
As this is a differential measurement in Delta phi, each dphi contributes differently.
The last bin which is reported with upper bound is greater than I_AA=0.3 (see revised Fig.3), hence this bin contributes such that resultant integrated IAA(pTjet) value is around 0.3 (which is del_phi: 2.35 to 3.14 rad).
The same scenario is for 10-15 GeV/c for R=0.2; where the upper bound is lower than 0.3, and that contributes to Integrated IAA(pTjet) value.
The updated paper draft (same v2): https://drupal.star.bnl.gov/STAR/system/files/AcoplanarityPaper_v2.pdf
Best
Nihar
On 2024-06-19 03:35, Ma, Rongrong wrote:
Hello Nihar
Thanks a lot for addressing my comments. Those plots for consistency
check in AN are very useful. However, it is not clear how you extract
the I_AA values from dPhi differential measurement. Do you use the
same dPhi range and same pp reference as in I_AA(pT) analysis? In the
lower panel of Fig. 28, integrated I_AA(dphi) ~ 0.3 for pi0 triggers
and recoil R = 0.2 jets of 15 - 20 GeV/c. However, in Fig. 3, bottom
panel of the paper draft, I_AA values in all three dPhi bins are below
0.3. Why? The same question goes to pi0 trigger, recoil R = 0.2 jets
of 10-15 GeV/c. The integrated I_AA value is about 0.3 in AN, but all
three I_AA(dphi) values are above 0.4 in the paper draft.
Best
Rongrong
On Jun 18, 2024, at 4:25 AM, Nihar Sahoo via Star-hp-l <star-hp-l AT lists.bnl.gov> wrote:
Hello Rongrong, Yi , and Isaac,
Thank you for your constructive comments.
We have worked on your comments. Please find our responses at one place:
(Rongrong, Yi, and Isaac's comments are in order)
https://drupal.star.bnl.gov/STAR/system/files/PWGComments_Acoplanarity_June16.pdf
In this revised paper draft, Supplement material is included.
Revised paper draft (v2):https://drupal.star.bnl.gov/STAR/system/files/AcoplanarityPaper_v2.pdf
Revised AN v2: https://drupal.star.bnl.gov/STAR/system/files/AcoplanarityAanalysisNote_V2_0.pdf
We request HP-pwg converners to help us forming GPC.
Best
Nihar for PAs( Derek, Saskia, Peter)
On 2024-05-06 12:55, Yi Yang wrote:
Hi Nihar,
Thanks a lot for the well-written draft and analysis note.
I agree with Rongrong's comments, so won't repeat here. I have some
minor ones for your consideration.
Paper draft:
- L36 - 38: the hyphens look a bit strange to me, it should look
like the one in L26. (similar for L314 and 315)
- L41: high energy --> high-energy
- L58: pT, jet > 30 GeV/c
- L59: R=0.3 --> R = 0.3
- L116: Gev --> GeV
- Eq.(1) and (2): it should be d^2 N_jet and d^2 sigma
- L156: sqrt(s_NN)=200 GeV --> sqrt(s_NN) = 200 GeV
- Figure 1: I would suggest to put the information in the right
panel to the left panel as well, just in case someone cut the left
panel only and there is no information on that.
- L229: What does "TBD" mean here? Will this affect the final
physics conclusion?
- L245: Fig.2 --> Figure 2
Question: (I probably asked it earlier) you show different behavior
for R = 0.2 and 0.5, does it make sense to try other R numbers to see
the actual R-dependence?
Analysis note:
- L172: Figure 23 --> Figure 9?
- Question: you are using PYTHIA-8 in the embedding/simulation, but
you used PYTHIA-6 for the comparison in the result. Why not use the
same version of PYTHIA?
- Don't you have the systematics from the unfolding iteration?
- Figure 23: It clearly shows the closure is not good between 2.5
and 3, and you are using log in the ratio. Any systematics associated
with it?
- L403, 404: there are "TBA"s, what does that mean?
- L435: The uncertainty on dPhi weights is "TBD"?
- Figure 26: do you have a similar plot for R = 0.2? What do the two
"light blue" lines mean here?
Cheers,
Yi
On Mon, Apr 8, 2024 at 10:16 AM Nihar Sahoo via Star-hp-l
<star-hp-l AT lists.bnl.gov> wrote:
Hello HP-pwg,
We have finalized STAR gamma+jet and pi0+jet acoplanarity paper
draft.
Paper draft, analysis Note, and paper webpage can be found below.
Please send your comment and feedback.
We request to form GPC.
Paper draft:
https://drupal.star.bnl.gov/STAR/system/files/AcoplanarityPaper_v1.pdf
Analysis Note:
https://drupal.star.bnl.gov/STAR/system/files/AcoplanarityAanalysisNote_V0_0.pdf
Paper webpage:
https://drupal.star.bnl.gov/STAR/blog/nihar/Paper-webpage-Measurement-direct-photonjet-and-pi0jet-azimuthal-correlation-AuAu-and-pp-c
Thank you
PAs (Nihar, Derek, Saskia, and Peter)
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